<?xml version="1.0" encoding="UTF-8"?>
<!DOCTYPE article PUBLIC "-//NLM//DTD Journal Publishing with OASIS Tables v3.0 20080202//EN" "https://jats.nlm.nih.gov/nlm-dtd/publishing/3.0/journalpub-oasis3.dtd">
<article xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:oasis="http://docs.oasis-open.org/ns/oasis-exchange/table" xml:lang="en" dtd-version="3.0" article-type="research-article">
  <front>
    <journal-meta><journal-id journal-id-type="publisher">BG</journal-id><journal-title-group>
    <journal-title>Biogeosciences</journal-title>
    <abbrev-journal-title abbrev-type="publisher">BG</abbrev-journal-title><abbrev-journal-title abbrev-type="nlm-ta">Biogeosciences</abbrev-journal-title>
  </journal-title-group><issn pub-type="epub">1726-4189</issn><publisher>
    <publisher-name>Copernicus Publications</publisher-name>
    <publisher-loc>Göttingen, Germany</publisher-loc>
  </publisher></journal-meta>
    <article-meta>
      <article-id pub-id-type="doi">10.5194/bg-23-3907-2026</article-id><title-group><article-title>Rapid soil degradation following deforestation in Eastern Africa</article-title><alt-title>Rapid soil degradation in Eastern Africa</alt-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author" corresp="yes" rid="aff1 aff2">
          <name><surname>Summerauer</surname><given-names>Laura</given-names></name>
          <email>laura.summerauer@fibl.org</email>
        <ext-link>https://orcid.org/0000-0002-3836-653X</ext-link></contrib>
        <contrib contrib-type="author" corresp="no" rid="aff3">
          <name><surname>Bamba</surname><given-names>Fernando</given-names></name>
          
        </contrib>
        <contrib contrib-type="author" corresp="no" rid="aff4">
          <name><surname>Akoraebirungi</surname><given-names>Bendicto</given-names></name>
          
        </contrib>
        <contrib contrib-type="author" corresp="no" rid="aff4">
          <name><surname>Wobusobozi</surname><given-names>Ahurra</given-names></name>
          
        </contrib>
        <contrib contrib-type="author" corresp="no" rid="aff5">
          <name><surname>Bauters</surname><given-names>Marijn</given-names></name>
          
        <ext-link>https://orcid.org/0000-0003-0978-6639</ext-link></contrib>
        <contrib contrib-type="author" corresp="no" rid="aff1">
          <name><surname>Drake</surname><given-names>Travis William</given-names></name>
          
        <ext-link>https://orcid.org/0000-0002-7564-974X</ext-link></contrib>
        <contrib contrib-type="author" corresp="no" rid="aff6 aff7">
          <name><surname>Haghipour</surname><given-names>Negar</given-names></name>
          
        </contrib>
        <contrib contrib-type="author" corresp="no" rid="aff4">
          <name><surname>Kabaseke</surname><given-names>Clovis</given-names></name>
          
        </contrib>
        <contrib contrib-type="author" corresp="no" rid="aff3">
          <name><surname>Muhindo</surname><given-names>Daniel</given-names></name>
          
        </contrib>
        <contrib contrib-type="author" corresp="no" rid="aff3">
          <name><surname>Cizungu Ntaboba</surname><given-names>Landry</given-names></name>
          
        </contrib>
        <contrib contrib-type="author" corresp="no" rid="aff8 aff9">
          <name><surname>Ramirez-Lopez</surname><given-names>Leonardo</given-names></name>
          
        </contrib>
        <contrib contrib-type="author" corresp="no" rid="aff1">
          <name><surname>Six</surname><given-names>Johan</given-names></name>
          
        <ext-link>https://orcid.org/0000-0001-9336-4185</ext-link></contrib>
        <contrib contrib-type="author" corresp="no" rid="aff1">
          <name><surname>Wasner</surname><given-names>Daniel</given-names></name>
          
        <ext-link>https://orcid.org/0000-0002-3005-6203</ext-link></contrib>
        <contrib contrib-type="author" corresp="no" rid="aff1">
          <name><surname>Doetterl</surname><given-names>Sebastian</given-names></name>
          
        <ext-link>https://orcid.org/0000-0002-0986-891X</ext-link></contrib>
        <aff id="aff1"><label>1</label><institution>Department of Environmental Systems Science, ETH Zurich, Zurich, Switzerland</institution>
        </aff>
        <aff id="aff2"><label>2</label><institution>Department of Soil Sciences, Research Institute of Organic Agriculture, Frick, Switzerland</institution>
        </aff>
        <aff id="aff3"><label>3</label><institution>Faculty of Agronomy, Université Catholique de Bukavu, Bukavu, Democratic Republic of Congo</institution>
        </aff>
        <aff id="aff4"><label>4</label><institution>Faculty of Agriculture and Environmental sciences, Mountains of the Moon University, Fort Portal, Uganda</institution>
        </aff>
        <aff id="aff5"><label>5</label><institution>Q-ForestLab, Department of Environment, Ghent University, Ghent, Belgium</institution>
        </aff>
        <aff id="aff6"><label>6</label><institution>Department of Earth Sciences, ETH Zurich, Zurich, Switzerland</institution>
        </aff>
        <aff id="aff7"><label>7</label><institution>Laboratory of Ion Beam Physics, ETH Zurich, Zurich, Switzerland</institution>
        </aff>
        <aff id="aff8"><label>8</label><institution>Data Science Department, BUCHI Labortechnik AG, Flawil, Switzerland</institution>
        </aff>
        <aff id="aff9"><label>9</label><institution>Imperial College London, Imperial Business School, London, United Kingdom</institution>
        </aff>
      </contrib-group>
      <author-notes><corresp id="corr1">Laura Summerauer (laura.summerauer@fibl.org)</corresp></author-notes><pub-date><day>15</day><month>June</month><year>2026</year></pub-date>
      
      <volume>23</volume>
      <issue>11</issue>
      <fpage>3907</fpage><lpage>3938</lpage>
      <history>
        <date date-type="received"><day>20</day><month>September</month><year>2025</year></date>
           <date date-type="rev-request"><day>5</day><month>October</month><year>2025</year></date>
           <date date-type="rev-recd"><day>8</day><month>May</month><year>2026</year></date>
           <date date-type="accepted"><day>11</day><month>May</month><year>2026</year></date>
      </history>
      <permissions>
        <copyright-statement>Copyright: © 2026 Laura Summerauer et al.</copyright-statement>
        <copyright-year>2026</copyright-year>
      <license license-type="open-access"><license-p>This work is licensed under the Creative Commons Attribution 4.0 International License. To view a copy of this licence, visit <ext-link ext-link-type="uri" xlink:href="https://creativecommons.org/licenses/by/4.0/">https://creativecommons.org/licenses/by/4.0/</ext-link></license-p></license></permissions><self-uri xlink:href="https://bg.copernicus.org/articles/23/3907/2026/bg-23-3907-2026.html">This article is available from https://bg.copernicus.org/articles/23/3907/2026/bg-23-3907-2026.html</self-uri><self-uri xlink:href="https://bg.copernicus.org/articles/23/3907/2026/bg-23-3907-2026.pdf">The full text article is available as a PDF file from https://bg.copernicus.org/articles/23/3907/2026/bg-23-3907-2026.pdf</self-uri>
      <abstract><title>Abstract</title>

      <p id="d2e256">Deforestation for cropland expansion in tropical sloping landscapes causes severe soil erosion and thus the loss of fertile, organic rich topsoil. Whether there is variation in the effect of land degradation on tropical soils developed from different parent materials, which may influence soil fertility is still largely unknown. Here, we compared SOC and other soil fertility indicators in undisturbed tropical forest topsoils with cleared hillslope topsoils (cropland, abandoned cropland, and reforestation with <italic>Eucalyptus</italic> monocultures) along the East African rift system using soil chronosequences after deforestation on both mafic and felsic parent material. In the mafic region, we found a consistent decrease of SOC, nitrogen, and phosphorus content with time after deforestation (relative changes of contents up to <inline-formula><mml:math id="M1" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>69 <inline-formula><mml:math id="M2" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">%</mml:mi></mml:mrow></mml:math></inline-formula> SOC, <inline-formula><mml:math id="M3" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>72 <inline-formula><mml:math id="M4" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">%</mml:mi></mml:mrow></mml:math></inline-formula> nitrogen, and <inline-formula><mml:math id="M5" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>92 <inline-formula><mml:math id="M6" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">%</mml:mi></mml:mrow></mml:math></inline-formula> phosphorus). SOC was strongly stabilized by reactive metal phases with little to no benefits to general soil fertility. Consequently, cropland was frequently abandoned by farmers due to the combination of low pH, high Al<sup>3+</sup> mobility, and low available nutrient status at a relatively high average SOC content of 14–29 <inline-formula><mml:math id="M8" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">g</mml:mi><mml:mspace width="0.125em" linebreak="nobreak"/><mml:msup><mml:mi mathvariant="normal">kg</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula> in topsoils. In the felsic region, the ameliorating effect of mid-Holocene carbonate volcanism mitigated soil degradation to some extent. In both geochemical regions, SOC content did not or only weakly positively correlate with clay content and cation exchange capacity. These results emphasize that soil organic matter, as well as clay content, appears to be unreliable indicators for soil fertility in degraded tropical cropland soils. Additionally, no significant improvement of soil fertility or SOC stocks was observed after replanting degraded fields with <italic>Eucalyptus</italic> monocultures. The estimated lifespan of croplands on hillslopes in our study area, approximately <inline-formula><mml:math id="M9" display="inline"><mml:mrow><mml:mn mathvariant="normal">145</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">56</mml:mn></mml:mrow></mml:math></inline-formula> years, underscores the severity of soil degradation for food production and forest protection in the upcoming decades, especially considering that many soils are already approaching the end of this estimated lifespan.</p>
  </abstract>
    </article-meta>
  </front>
<body>
      

<sec id="Ch1.S1" sec-type="intro">
  <label>1</label><title>Introduction</title>
      <p id="d2e361">A <italic>civu</italic> turns into a <italic>kalongo</italic> – is the way farmers in South Kivu, Eastern Democratic Republic of Congo, describe the process when a brown, blackish, and productive soil turns into a degraded, often infertile red soil in their local language, Mashi. Most subsistence farmers in tropical regions with sloping landscapes are familiar with this process that starts after converting forest to cropland and the onset of accelerated erosion on farmlands.</p>
      <p id="d2e370">The change in color is related to the fact that deforestation and cropland expansion usually lead to a substantial loss of soil organic carbon (SOC) rich topsoil <xref ref-type="bibr" rid="bib1.bibx40 bib1.bibx50 bib1.bibx118 bib1.bibx155" id="paren.1"/>, which is black in color compared to the SOC-depleted subsoils, which are red or orange colors that come from the iron minerals. Compared to other tropical forest ecosystems, deforestation in the Congo Basin has remained low until recently <xref ref-type="bibr" rid="bib1.bibx128" id="paren.2"/>. In the past decades, increasing political instability <xref ref-type="bibr" rid="bib1.bibx47" id="paren.3"/>, agricultural expansion, and the dependency on charcoal as a primary energy source <xref ref-type="bibr" rid="bib1.bibx99 bib1.bibx147" id="paren.4"/> have led to an acceleration of tropical forest clearing <xref ref-type="bibr" rid="bib1.bibx6 bib1.bibx33 bib1.bibx85" id="paren.5"/>. Additionally, conflicts in Eastern Congo, particularly the Congo Wars (1996–2003), significantly impacted agricultural practices and soil fertility by decimating livestock populations, leading to a substantial reduction in manure application that persists today <xref ref-type="bibr" rid="bib1.bibx26" id="paren.6"/>. Alarmingly, a projected three- to fourfold increase in population by 2100 <xref ref-type="bibr" rid="bib1.bibx158" id="paren.7"/> will likely exacerbate the rate of deforestation in the coming decades.</p>
      <p id="d2e395">The reduced input of organic matter and plant nutrients following deforestation <xref ref-type="bibr" rid="bib1.bibx79" id="paren.8"/>, in combination with changes in microclimate and microbial communities <xref ref-type="bibr" rid="bib1.bibx107" id="paren.9"/>, leads to higher SOC turnover relative to C input. Moreover, leaching and gaseous emissions decrease the availability of many key nutrients <xref ref-type="bibr" rid="bib1.bibx74 bib1.bibx97 bib1.bibx126" id="paren.10"/>. In deeply weathered tropical soils this is a particular issue since nutrient availability primarily depends on new organic matter input <xref ref-type="bibr" rid="bib1.bibx106" id="paren.11"/> and atmospheric deposition <xref ref-type="bibr" rid="bib1.bibx10 bib1.bibx11 bib1.bibx20" id="paren.12"/>. As a consequence, a sharp decline in soil organic matter content is often indicative for soil fertility loss <xref ref-type="bibr" rid="bib1.bibx103" id="paren.13"/> and explains subsequent decreases of crop yields <xref ref-type="bibr" rid="bib1.bibx110" id="paren.14"/>. SOC content is therefore considered a suitable proxy for soil fertility, land degradation, and abandonment <xref ref-type="bibr" rid="bib1.bibx84 bib1.bibx146" id="paren.15"/>.</p>
      <p id="d2e423">In addition to reduced organic matter inputs and microclimate changes, deforestation can also lead to higher rates of soil erosion, which leads to further losses of SOC and soil fertility <xref ref-type="bibr" rid="bib1.bibx127" id="paren.16"/>. Along the steep topography of the East African Rift system, heavy rainfall causes severe soil erosion <xref ref-type="bibr" rid="bib1.bibx57 bib1.bibx91 bib1.bibx164" id="paren.17"/> and landslides <xref ref-type="bibr" rid="bib1.bibx32 bib1.bibx95" id="paren.18"/> in deforested areas. Such erosion leads to the loss of fertile topsoil on hillslopes across many (formerly) fertile soil regions <xref ref-type="bibr" rid="bib1.bibx104" id="paren.19"/>. Despite the importance of soil erosion to soil health and food security <xref ref-type="bibr" rid="bib1.bibx1" id="paren.20"/>, our understanding of the timeframe over which it renders tropical cropland infertile is still limited <xref ref-type="bibr" rid="bib1.bibx145 bib1.bibx167" id="paren.21"/>.</p>
      <p id="d2e446">As erosion progressively removes overlying soil, the surface is brought closer to the underlying saprolite. Hence, less weathered minerals richer in rock-derived nutrients and reactive pedogenic metal phases may become part of the topsoil with the potential to “rejuvenate” soils geochemically <xref ref-type="bibr" rid="bib1.bibx23 bib1.bibx153 bib1.bibx157" id="paren.22"/>. The former subsoil nutrients, clays, and reactive metals may therefore increase SOC stocks and soil fertility within the eroding landscape <xref ref-type="bibr" rid="bib1.bibx14 bib1.bibx136 bib1.bibx152" id="paren.23"><named-content content-type="pre">e.g.,</named-content></xref>.</p>
      <p id="d2e457">If erosion increases the relative exposure of saprolite, the influence of the underlying geochemical composition of the basement rock on SOC and nutrient dynamics can be expected to increase. However, little is known about the interaction of erosion and the mechanisms driving SOC stabilization and soil fertility in tropical soils and whether they differ across geochemical gradients. In fact, it is not certain that saprolite will even be reached in many cases before fields get abandoned due to lack of suitability for agriculture when soils at the surface are ”stuck” in the infertile, deeply weathered former subsoil. Indeed, the role of soil mineralogy and soil parent material has often been overlooked in tropical land conversion studies <xref ref-type="bibr" rid="bib1.bibx118" id="paren.24"/>. Differences in secondary clay minerals and pedogenic metal phases that might promote SOC stabilization, as well as differences between contrasting parent materials, are generally considered to be small in tropical soils. Moreover, it is generally assumed that long-term weathering has homogenized most geochemical distinctions in the tropics <xref ref-type="bibr" rid="bib1.bibx64 bib1.bibx168" id="paren.25"/>. Recent work, however, illustrates that the geochemistry of soils developed on different parent material can affect soil fertility and the C cycle <xref ref-type="bibr" rid="bib1.bibx4 bib1.bibx22 bib1.bibx37 bib1.bibx126" id="paren.26"/>, even in deeply weathered soils. For example, soils developed from mafic parent material contain more base cations, aluminum (Al), and iron (Fe) than soils developed from felsic parent material with high silica (Si) content <xref ref-type="bibr" rid="bib1.bibx16" id="paren.27"/>. Thus, soils originating from mafic rocks contain more minerals that help stabilize organic matter. On the other hand, soils formed from felsic mineralogies tend to contain less rock-derived metals <xref ref-type="bibr" rid="bib1.bibx38 bib1.bibx125" id="paren.28"/>.</p>
      <p id="d2e475">Beyond deforestation, erosion, and soil parent material, land management practices such as reforestation also have the potential to significantly influence SOC and nutrient dynamics in tropical soils. On deforested, eroding, and degraded croplands, instead of abandoning land, farmers sometimes plant tree monocultures such as fast growing <italic>Eucalyptus</italic> varieties (for example in South Kivu; <xref ref-type="bibr" rid="bib1.bibx69" id="altparen.29"/>). <italic>Eucalyptus</italic> tolerates poor fertility conditions <xref ref-type="bibr" rid="bib1.bibx43" id="paren.30"/> and can thus still provide income sources to farmers via timber and charcoal production. However, <italic>Eucalyptus</italic> reforestation has a mixed and inconsistent impact on SOC storage <xref ref-type="bibr" rid="bib1.bibx82 bib1.bibx161" id="paren.31"/>. Further negative effects have been reported, such as acidification and increased Al<sup>3+</sup> mobility <xref ref-type="bibr" rid="bib1.bibx65 bib1.bibx88 bib1.bibx119 bib1.bibx143" id="paren.32"/> and nutrient depletion <xref ref-type="bibr" rid="bib1.bibx49 bib1.bibx96" id="paren.33"/>. It is widely unknown whether <italic>Eucalyptus</italic> provides protection against water erosion <xref ref-type="bibr" rid="bib1.bibx63" id="paren.34"/> in Eastern Africa and can therefore increase SOC and soil fertility on eroding hillslopes.</p>
      <p id="d2e521">Here, we studied how soil degradation affects SOC stocks and fertility in tropical agricultural systems on contrasting geologies. Secondly, we investigated whether SOC stocks and soil fertility recovered after land abandonment or establishing <italic>Eucalyptus</italic> monocultures. To accomplish this, we sampled hillslope topsoils in (i) two regions with geochemically contrasting parent material (mafic and felsic), (ii) along a deforestation chronosequence (0, 2–7, 10–20, 40–60, <inline-formula><mml:math id="M11" display="inline"><mml:mrow><mml:mo>&gt;</mml:mo><mml:mn mathvariant="normal">60</mml:mn></mml:mrow></mml:math></inline-formula> years), and (iii) under different land uses (old growth forest, cropland, abandoned, <italic>Eucalyptus</italic> monoculture). Our working hypotheses were as follows:</p>
      <p id="d2e540"><list list-type="order">
          <list-item>

      <p id="d2e545">Hillslope SOC and soil fertility decrease continuously with time after deforestation due to the loss of fertile topsoil through water erosion.</p>
          </list-item>
          <list-item>

      <p id="d2e551">We expect that soils developed from mafic parent material can stabilize more SOC than those developed from felsic parent material due to higher amounts of clay and reactive, pedogenic metal phases.</p>
          </list-item>
          <list-item>

      <p id="d2e557">Time until cropland abandonment (i.e. soil lifespan) depends strongly on the parent material. Volcanic ash input may further delay abandonment due to higher pH (counteracting Al toxicity) and higher soil fertility levels.</p>
          </list-item>
          <list-item>

      <p id="d2e563">Reforestation efforts through planting <italic>Eucalyptus</italic> monocultures will increase SOC on degraded soils due to the increased input of organic matter and the reduction of soil erosion. This erosion control prevails over the reported negative effects on soil acidification and nutrient depletion caused in such plantations.</p>
          </list-item>
        </list></p>
</sec>
<sec id="Ch1.S2">
  <label>2</label><title>Material and Methods</title>
<sec id="Ch1.S2.SS1">
  <label>2.1</label><title>Site description</title>
      <p id="d2e586">We selected two study regions along the Albertine rift (Fig. <xref ref-type="fig" rid="F1"/>). Within each region, sites followed gradients of topography and land cover change, under similar climate but on contrasting soil parent material. The mafic region was located in the eastern Democratic Republic of Congo (DRC; further called “mafic region”). Late Miocene and Pliocene basalt deposits of volcanoes along the Mitumba mountain chain (10–2.6 <inline-formula><mml:math id="M12" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">Ma</mml:mi></mml:mrow></mml:math></inline-formula>, <xref ref-type="bibr" rid="bib1.bibx68 bib1.bibx83 bib1.bibx117" id="altparen.35"/>) and in the Virunga volcanic area north of the city Goma <xref ref-type="bibr" rid="bib1.bibx116" id="paren.36"/> formed soil parent material with mafic geochemical features (high aluminum, iron, rock-derived base cations, and phosphorus (P) content; <xref ref-type="bibr" rid="bib1.bibx38" id="altparen.37"/>). The sampled sites were located west of the city of Bukavu with latitude and longitude ranges of <inline-formula><mml:math id="M13" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>2.1 to <inline-formula><mml:math id="M14" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>2.6 and 28.6 to 28.9, respectively, and elevations ranging from 1360 to 2250 m a.s.l. Cropland dominates the lower altitudes and old-growth forest the higher altitudes. The felsic region was located in western Uganda (further called “felsic region”). In this region, soil parent material is primarily composed of felsic magmatic and metamorphic rocks (silica rich, gneissic granites; <xref ref-type="bibr" rid="bib1.bibx38" id="altparen.38"/>) around the city of Fort Portal, in Rwenzori mountain foothills, Itwara and Matiri forest reserves, and in Kibale National Park <xref ref-type="bibr" rid="bib1.bibx93" id="paren.39"/>. Mid-Holocene carbonate volcanism had occurred about 4700–5000 b.p. <xref ref-type="bibr" rid="bib1.bibx31 bib1.bibx156" id="paren.40"/>. This volcanic activity – specifically the deposition of ash and mudflow – has substantially influenced the topsoil characteristics. While soil types and parent material are otherwise comparable across the region, the local distribution of this volcanic deposition is highly variable (e.g. due to topography, wind patterns, and precipitation) and was unknown and unquantifiable prior to sampling. The study sites in the felsic region are located at latitudes of 0.5–0.8, longitudes of 30.1–30.9, and altitudes of 1230–1760 m a.s.l. (Fig. <xref ref-type="fig" rid="F1"/>).</p>
      <p id="d2e634">Mean annual precipitation (MAP) in the mafic region is 1700 <inline-formula><mml:math id="M15" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">mm</mml:mi></mml:mrow></mml:math></inline-formula>, with a rainy season from September to May and a dry season from June to August; mean annual temperature (MAT) is 17.5 <inline-formula><mml:math id="M16" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">°</mml:mi><mml:mi mathvariant="normal">C</mml:mi></mml:mrow></mml:math></inline-formula>. In the felsic region, MAP is 1300 <inline-formula><mml:math id="M17" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">mm</mml:mi></mml:mrow></mml:math></inline-formula> and MAT is 20.4 <inline-formula><mml:math id="M18" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">°</mml:mi><mml:mi mathvariant="normal">C</mml:mi></mml:mrow></mml:math></inline-formula> <xref ref-type="bibr" rid="bib1.bibx46" id="paren.41"/>. In the mafic region, soils are classified as Ferralsols and Acrisols. Nitisols, Phaeozems, Acrisols, and Luvisols dominate the felsic region <xref ref-type="bibr" rid="bib1.bibx66" id="paren.42"/>. Numerous studies have analyzed volcanic materials from the Fort Portal region and found significant concentrations of primary minerals <xref ref-type="bibr" rid="bib1.bibx7 bib1.bibx5 bib1.bibx31" id="paren.43"><named-content content-type="pre">e.g.,</named-content></xref>. More detailed information on soil coverage and soil properties in the region can be found in <xref ref-type="bibr" rid="bib1.bibx38" id="text.44"/>. The topography of both regions is dominated by hillslopes with gentle to steep inclinations (mafic: 10–35 <inline-formula><mml:math id="M19" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">°</mml:mi></mml:mrow></mml:math></inline-formula>, felsic: 9–24 <inline-formula><mml:math id="M20" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">°</mml:mi></mml:mrow></mml:math></inline-formula>; Table <xref ref-type="table" rid="T1"/>). This steep topography causes soil erosion and landslides <xref ref-type="bibr" rid="bib1.bibx33 bib1.bibx61" id="paren.45"/>. In both regions, hillslopes which were cleared <inline-formula><mml:math id="M21" display="inline"><mml:mrow><mml:mo>&gt;</mml:mo><mml:mn mathvariant="normal">60</mml:mn></mml:mrow></mml:math></inline-formula> years ago showed yellowish to red colors of the iron oxides (e.g. goethite and hematite) and the dark topsoils were completely absent. Recently cleared sites were often characterized by remnant burnt tree trunks and charcoal particles. Note that also forest seedlings were still growing between the crops.</p>
      <p id="d2e720">The main crops in both regions were cassava and maize, with smaller quantities of beans, sorghum, potatoes, groundnuts, coffee, onions, and amaranth. In the felsic region, all visited cropland sites were actively cropped. Here, crops still provide adequate yields (maize yields: 2–2.5 <inline-formula><mml:math id="M22" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">t</mml:mi><mml:mspace linebreak="nobreak" width="0.125em"/><mml:msup><mml:mi mathvariant="normal">ha</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup><mml:mspace linebreak="nobreak" width="0.125em"/><mml:msup><mml:mi mathvariant="normal">yr</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula> in the Rwenzori foothills in western Uganda <xref ref-type="bibr" rid="bib1.bibx148" id="paren.46"/>). In contrast, in the mafic region, crops perform poorly (maize yields: 0.8–2.1 <inline-formula><mml:math id="M23" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">t</mml:mi><mml:mspace linebreak="nobreak" width="0.125em"/><mml:msup><mml:mi mathvariant="normal">ha</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup><mml:mspace linebreak="nobreak" width="0.125em"/><mml:msup><mml:mi mathvariant="normal">yr</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula> in Walungu, Kabare and Kalehe territories of South Kivu <xref ref-type="bibr" rid="bib1.bibx105" id="paren.47"/>). Consequently, numerous hillslopes in the mafic region were abandoned from cropping due to infertility (information from farmers). A common practice in the mafic region is to plant <italic>Eucalyptus</italic> on heavily degraded hillslopes. In the felsic region <italic>Eucalyptus</italic> plantations are planted regardless of soil status in order to provide fuel for tea plantations. <italic>Eucalyptus</italic> in both regions were grown in monocultures, and sometimes grass, sedges, and rushes grew between the trees. The most common <italic>Eucalyptus</italic> species (family <italic>Myrtaceae</italic>, genus <italic>Eucalyptus</italic>) which are grown in the region are <italic>Eucalyptus globulus</italic>, <italic>Eucalyptus cinerea</italic>, and <italic>Eucalyptus grandis</italic>. For simplicity, we will refer to the genus name <italic>Eucalyptus</italic> only. Abandoned sites were either bare soil or covered with grasses and shrubland vegetation.</p>

      <fig id="F1" specific-use="star"><label>Figure 1</label><caption><p id="d2e816">Left: Overview of the Albertine Rift of central Africa with the two sampling regions, mafic and felsic, shown within black boxes. Right top: zoomed in view of the felsic region in western Uganda near the city of Fort Portal. Right bottom: zoomed in view of the mafic region of South Kivu, Democratic Republic of Congo, west of the city of Bukavu. Sampling sites are marked by their land uses: forest (triangles), cropland (circles), <italic>Eucalyptus</italic> (diamonds), abandoned cropland (upside down triangles). The green to yellow color gradient corresponds to the deforestation chronosequence (0, 2–7, 10–20, 40–60, <inline-formula><mml:math id="M24" display="inline"><mml:mrow><mml:mo>&gt;</mml:mo><mml:mn mathvariant="normal">60</mml:mn></mml:mrow></mml:math></inline-formula> years since deforestation). Dark green raster color in the right panels indicates forest cover and gray color shows the underlying topography generated from a digital elevation model (source: Natural Earth, SRTM 90 <inline-formula><mml:math id="M25" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">m</mml:mi></mml:mrow></mml:math></inline-formula>, ESA CCI 20 <inline-formula><mml:math id="M26" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">m</mml:mi></mml:mrow></mml:math></inline-formula> Land Cover map of Africa 2016, HydroLakes).</p></caption>
          <graphic xlink:href="https://bg.copernicus.org/articles/23/3907/2026/bg-23-3907-2026-f01.jpg"/>

        </fig>

</sec>
<sec id="Ch1.S2.SS2">
  <label>2.2</label><title>Historical land use</title>
      <p id="d2e862">To assess years since deforestation of old-growth or pristine forest (on all cleared hillslope sites, i.e. cropland, abandoned, and <italic>Eucalyptus</italic>), we used a combination of historical aerial imagery and Landsat products. For the mafic region we used the historical, panchromatic aerial photographs from 1955–1958 from the Royal Museum for Central Africa in Belgium. For the felsic region, aerial images from the years 1955–1961 were purchased at the National Collection of Aerial Photography (NCAP). For the years after 1960, satellite-derived Landsat imagery, which is available for Eastern Africa starting from the 80s (Landsat 4–8), historical imagery from Google Earth Pro (Version 7.3.5, last access: 12 October 2023) and the deforestation maps by <xref ref-type="bibr" rid="bib1.bibx52" id="text.48"/> were combined to visually determine years since deforestation for the period 1955–2020 for all sampling locations. This approach allowed us to generate five classes: (1) undisturbed forest (old-growth or pristine forest; also labeled as 0 years since deforestation), as well as altered sites (cropland, abandoned sites, <italic>Eucalyptus</italic> monocultures) at (2) 2–7 years, (3) 10–20 years, (4) 40–60 years, and (5) <inline-formula><mml:math id="M27" display="inline"><mml:mrow><mml:mo>&gt;</mml:mo><mml:mn mathvariant="normal">60</mml:mn></mml:mrow></mml:math></inline-formula> years since deforestation. Due to the low temporal coverage and raster resolution of the available satellite imagery, time of planting, harvesting, and replanting of <italic>Eucalyptus</italic> could not be assessed. In summary, in the mafic region we sampled a total of 60 sites with 9 forest sites, 27 cropland sites, 6 abandoned and 18 <italic>Eucalyptus</italic> sites (Table <xref ref-type="table" rid="T1"/>). In the felsic region, we sampled a total of 38 sites with 9 forest sites, 26 cropland sites, and 3 <italic>Eucalyptus</italic> sites (Table <xref ref-type="table" rid="T1"/>). The different number of sampling sites between both regions stems from difficulties in finding abandoned sites in the felsic region.</p>
</sec>
<sec id="Ch1.S2.SS3">
  <label>2.3</label><title>Soil sampling and processing</title>
<sec id="Ch1.S2.SS3.SSS1">
  <label>2.3.1</label><title>Cropland, <italic>Eucalyptus</italic>, abandoned hillslope sites</title>
      <p id="d2e917">Eighty samples were collected from hillslopes (cropland: <inline-formula><mml:math id="M28" display="inline"><mml:mrow><mml:mi>n</mml:mi><mml:mo>=</mml:mo><mml:mn mathvariant="normal">53</mml:mn></mml:mrow></mml:math></inline-formula>, <italic>Eucalyptus</italic>: <inline-formula><mml:math id="M29" display="inline"><mml:mrow><mml:mi>n</mml:mi><mml:mo>=</mml:mo><mml:mn mathvariant="normal">21</mml:mn></mml:mrow></mml:math></inline-formula>, abandoned: <inline-formula><mml:math id="M30" display="inline"><mml:mrow><mml:mi>n</mml:mi><mml:mo>=</mml:mo><mml:mn mathvariant="normal">6</mml:mn></mml:mrow></mml:math></inline-formula>) across both geochemical regions along deforestation chronosequences (Fig. <xref ref-type="fig" rid="F1"/>, Table <xref ref-type="table" rid="T1"/>). We avoided sampling close to anthropogenic influence other than agriculture (e.g. urban areas, houses, clay mining, and charcoal production). Similarly, we sampled at least 10 <inline-formula><mml:math id="M31" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">m</mml:mi></mml:mrow></mml:math></inline-formula> away from trails and field boundaries. We sampled in four corners of 10 <inline-formula><mml:math id="M32" display="inline"><mml:mo>×</mml:mo></mml:math></inline-formula> 10 <inline-formula><mml:math id="M33" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">m</mml:mi></mml:mrow></mml:math></inline-formula> squares on the shoulder to backslope positions of the hillslopes, aiming to effectively capture the spatial variability on a hillslope. Soils were sampled in 0–30 <inline-formula><mml:math id="M34" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">cm</mml:mi></mml:mrow></mml:math></inline-formula> depth in 10 <inline-formula><mml:math id="M35" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">cm</mml:mi></mml:mrow></mml:math></inline-formula> increments using a sampling ring kit with stainless steel sampling cylinders with a volume of 100 <inline-formula><mml:math id="M36" display="inline"><mml:mrow class="unit"><mml:msup><mml:mi mathvariant="normal">cm</mml:mi><mml:mn mathvariant="normal">3</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula> (Eijkelkamp, The Netherlands). For each respective depth, the four soil samples taken from the corners of the 10 <inline-formula><mml:math id="M37" display="inline"><mml:mo>×</mml:mo></mml:math></inline-formula> 10 <inline-formula><mml:math id="M38" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">m</mml:mi></mml:mrow></mml:math></inline-formula> square were composited into one sample.</p>
</sec>
<sec id="Ch1.S2.SS3.SSS2">
  <label>2.3.2</label><title>Old-growth and pristine forests</title>
      <p id="d2e1038">Reference data from undisturbed sites under forest were retrieved from the openly available Tropical Soil Organic Carbon (TropSOC) database v.1.1 <xref ref-type="bibr" rid="bib1.bibx38 bib1.bibx39" id="paren.49"/>. Soils under these forests have also developed on mafic and felsic parent material. Soil types were the same as on the sampled hillslopes. The distance from the sampled hillslope sites to the old-growth forest sites were 5–50 <inline-formula><mml:math id="M39" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">km</mml:mi></mml:mrow></mml:math></inline-formula>. Eighteen forest profiles from plateau and hillslope positions were selected from old-growth and pristine forests in Kahuzi-Biéga National Park in Eastern DRC (<inline-formula><mml:math id="M40" display="inline"><mml:mrow><mml:mi>n</mml:mi><mml:mo>=</mml:mo><mml:mn mathvariant="normal">9</mml:mn></mml:mrow></mml:math></inline-formula>) and in Kibale National Park, western Uganda (<inline-formula><mml:math id="M41" display="inline"><mml:mrow><mml:mi>n</mml:mi><mml:mo>=</mml:mo><mml:mn mathvariant="normal">9</mml:mn></mml:mrow></mml:math></inline-formula>). Each 1 <inline-formula><mml:math id="M42" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">m</mml:mi></mml:mrow></mml:math></inline-formula> profile consists of composites of 10 <inline-formula><mml:math id="M43" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">cm</mml:mi></mml:mrow></mml:math></inline-formula> increments from four cores, which were taken in a 20 <inline-formula><mml:math id="M44" display="inline"><mml:mo>×</mml:mo></mml:math></inline-formula> 20 <inline-formula><mml:math id="M45" display="inline"><mml:mrow class="unit"><mml:msup><mml:mi mathvariant="normal">m</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula> square. Detailed information regarding the sampling and the data is found in <xref ref-type="bibr" rid="bib1.bibx38" id="text.50"/>. Data compatibility is described in Appendix <xref ref-type="sec" rid="App1.Ch1.S2"/>.</p>
</sec>
<sec id="Ch1.S2.SS3.SSS3">
  <label>2.3.3</label><title>Vertical transects (soil to bedrock)</title>
      <p id="d2e1124">To assess soil properties in subsoils down to the saprolite or if possible down to the bedrock parent material, several soil profiles along roadcuts and mines were sampled (felsic: <inline-formula><mml:math id="M46" display="inline"><mml:mrow><mml:mi>n</mml:mi><mml:mo>=</mml:mo><mml:mn mathvariant="normal">4</mml:mn></mml:mrow></mml:math></inline-formula>, mafic: <inline-formula><mml:math id="M47" display="inline"><mml:mrow><mml:mi>n</mml:mi><mml:mo>=</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:math></inline-formula>) to represent soil development in the two geochemical regions. The soil surface of all profiles was cleaned before each soil horizon was sampled separately. In the mafic region, the saprolite layer started at 530 <inline-formula><mml:math id="M48" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">cm</mml:mi></mml:mrow></mml:math></inline-formula> below surface and the bedrock appeared after 890 <inline-formula><mml:math id="M49" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">cm</mml:mi></mml:mrow></mml:math></inline-formula>. In the felsic region, the four sampled road cuts had a maximum depth of 200–572 <inline-formula><mml:math id="M50" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">cm</mml:mi></mml:mrow></mml:math></inline-formula>, the saprolite layer was sampled below 200 <inline-formula><mml:math id="M51" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">cm</mml:mi></mml:mrow></mml:math></inline-formula> depth, and the bedrock was below the sampled profile.</p>
</sec>
<sec id="Ch1.S2.SS3.SSS4">
  <label>2.3.4</label><title>Sample processing</title>
      <p id="d2e1192">All soil samples from hillslopes, forest, and transects were carefully mixed and oven dried at 40 <inline-formula><mml:math id="M52" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">°</mml:mi><mml:mi mathvariant="normal">C</mml:mi></mml:mrow></mml:math></inline-formula> and then gently crushed to separate fine soil (<inline-formula><mml:math id="M53" display="inline"><mml:mrow><mml:mo>&lt;</mml:mo><mml:mn mathvariant="normal">2</mml:mn></mml:mrow></mml:math></inline-formula> <inline-formula><mml:math id="M54" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">mm</mml:mi></mml:mrow></mml:math></inline-formula>) from coarse soil (<inline-formula><mml:math id="M55" display="inline"><mml:mrow><mml:mo>&gt;</mml:mo><mml:mn mathvariant="normal">2</mml:mn></mml:mrow></mml:math></inline-formula> <inline-formula><mml:math id="M56" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">mm</mml:mi></mml:mrow></mml:math></inline-formula>) fragments. Soil bulk density was determined on unsieved soil where feasible. In cases of high rock content, bulk density was calculated using the sieved fine soil fraction after correcting for the weight and volume of coarse fragments. These values were then used for calculation of SOC stocks. An aliquot of the fine soil of each sample was powder grinded for use in spectroscopic and chemical analyses. All samples from roadcuts or mines below the saprolite boundary were excluded from sieving.</p>

<table-wrap id="T1"><label>Table 1</label><caption><p id="d2e1244">Number of sampling sites (<inline-formula><mml:math id="M57" display="inline"><mml:mi>n</mml:mi></mml:math></inline-formula>) and inclination (slope <inline-formula><mml:math id="M58" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">°</mml:mi></mml:mrow></mml:math></inline-formula>) of the sampled hillslopes under mafic and felsic parent material, under cropland, and forest along the chronosequence of deforestation. Data from forest sites was retrieved from TropSOC database v1.1 <xref ref-type="bibr" rid="bib1.bibx38 bib1.bibx39" id="paren.51"/>.</p></caption><oasis:table frame="topbot"><oasis:tgroup cols="5">
     <oasis:colspec colnum="1" colname="col1" align="left"/>
     <oasis:colspec colnum="2" colname="col2" align="left"/>
     <oasis:colspec colnum="3" colname="col3" align="right"/>
     <oasis:colspec colnum="4" colname="col4" align="right"/>
     <oasis:colspec colnum="5" colname="col5" align="right"/>
     <oasis:thead>
       <oasis:row>

         <oasis:entry colname="col1">Land use</oasis:entry>

         <oasis:entry colname="col2">Topographic</oasis:entry>

         <oasis:entry colname="col3">Years since</oasis:entry>

         <oasis:entry colname="col4"><inline-formula><mml:math id="M59" display="inline"><mml:mi>n</mml:mi></mml:math></inline-formula></oasis:entry>

         <oasis:entry colname="col5">Slope °</oasis:entry>

       </oasis:row>
       <oasis:row rowsep="1">

         <oasis:entry colname="col1"/>

         <oasis:entry colname="col2">position</oasis:entry>

         <oasis:entry colname="col3">deforestation</oasis:entry>

         <oasis:entry colname="col4"/>

         <oasis:entry colname="col5"/>

       </oasis:row>
     </oasis:thead>
     <oasis:tbody>
       <oasis:row rowsep="1">

         <oasis:entry namest="col1" nameend="col5" align="center">mafic </oasis:entry>

       </oasis:row>
       <oasis:row rowsep="1">

         <oasis:entry colname="col1">forest</oasis:entry>

         <oasis:entry colname="col2">plateau, slope</oasis:entry>

         <oasis:entry colname="col3">0</oasis:entry>

         <oasis:entry colname="col4">9</oasis:entry>

         <oasis:entry colname="col5">2–31</oasis:entry>

       </oasis:row>
       <oasis:row>

         <oasis:entry rowsep="1" colname="col1" morerows="3">cropland</oasis:entry>

         <oasis:entry rowsep="1" colname="col2" morerows="3">slope</oasis:entry>

         <oasis:entry colname="col3">2–7</oasis:entry>

         <oasis:entry colname="col4">3</oasis:entry>

         <oasis:entry colname="col5">23–29</oasis:entry>

       </oasis:row>
       <oasis:row>

         <oasis:entry colname="col3">10–20</oasis:entry>

         <oasis:entry colname="col4">1</oasis:entry>

         <oasis:entry colname="col5">18</oasis:entry>

       </oasis:row>
       <oasis:row>

         <oasis:entry colname="col3">40–60</oasis:entry>

         <oasis:entry colname="col4">4</oasis:entry>

         <oasis:entry colname="col5">11–32</oasis:entry>

       </oasis:row>
       <oasis:row rowsep="1">

         <oasis:entry colname="col3"><inline-formula><mml:math id="M60" display="inline"><mml:mrow><mml:mi mathvariant="italic">&gt;</mml:mi><mml:mn mathvariant="normal">60</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>

         <oasis:entry colname="col4">19</oasis:entry>

         <oasis:entry colname="col5">12–30</oasis:entry>

       </oasis:row>
       <oasis:row rowsep="1">

         <oasis:entry colname="col1">abandoned</oasis:entry>

         <oasis:entry colname="col2">slope</oasis:entry>

         <oasis:entry colname="col3"><inline-formula><mml:math id="M61" display="inline"><mml:mrow><mml:mi mathvariant="italic">&gt;</mml:mi><mml:mn mathvariant="normal">60</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>

         <oasis:entry colname="col4">6</oasis:entry>

         <oasis:entry colname="col5">15–35</oasis:entry>

       </oasis:row>
       <oasis:row>

         <oasis:entry rowsep="1" colname="col1" morerows="1"><italic>Eucalyptus</italic></oasis:entry>

         <oasis:entry rowsep="1" colname="col2" morerows="1">slope</oasis:entry>

         <oasis:entry colname="col3">40–60</oasis:entry>

         <oasis:entry colname="col4">5</oasis:entry>

         <oasis:entry colname="col5">10–32</oasis:entry>

       </oasis:row>
       <oasis:row rowsep="1">

         <oasis:entry colname="col3"><inline-formula><mml:math id="M62" display="inline"><mml:mrow><mml:mi mathvariant="italic">&gt;</mml:mi><mml:mn mathvariant="normal">60</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>

         <oasis:entry colname="col4">13</oasis:entry>

         <oasis:entry colname="col5">14–35</oasis:entry>

       </oasis:row>
       <oasis:row rowsep="1">

         <oasis:entry namest="col1" nameend="col5" align="center">felsic </oasis:entry>

       </oasis:row>
       <oasis:row rowsep="1">

         <oasis:entry colname="col1">forest</oasis:entry>

         <oasis:entry colname="col2">plateau, slope</oasis:entry>

         <oasis:entry colname="col3">0</oasis:entry>

         <oasis:entry colname="col4">9</oasis:entry>

         <oasis:entry colname="col5">2–29</oasis:entry>

       </oasis:row>
       <oasis:row>

         <oasis:entry rowsep="1" colname="col1" morerows="3">cropland</oasis:entry>

         <oasis:entry rowsep="1" colname="col2" morerows="3">slope</oasis:entry>

         <oasis:entry colname="col3">2–7</oasis:entry>

         <oasis:entry colname="col4">3</oasis:entry>

         <oasis:entry colname="col5">16</oasis:entry>

       </oasis:row>
       <oasis:row>

         <oasis:entry colname="col3">10–20</oasis:entry>

         <oasis:entry colname="col4">13</oasis:entry>

         <oasis:entry colname="col5">9–23</oasis:entry>

       </oasis:row>
       <oasis:row>

         <oasis:entry colname="col3">40–60</oasis:entry>

         <oasis:entry colname="col4">2</oasis:entry>

         <oasis:entry colname="col5">8–15</oasis:entry>

       </oasis:row>
       <oasis:row rowsep="1">

         <oasis:entry colname="col3"><inline-formula><mml:math id="M63" display="inline"><mml:mrow><mml:mi mathvariant="italic">&gt;</mml:mi><mml:mn mathvariant="normal">60</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>

         <oasis:entry colname="col4">5</oasis:entry>

         <oasis:entry colname="col5">15–24</oasis:entry>

       </oasis:row>
       <oasis:row>

         <oasis:entry colname="col1" morerows="1"><italic>Eucalyptus</italic></oasis:entry>

         <oasis:entry colname="col2" morerows="1">slope</oasis:entry>

         <oasis:entry colname="col3">2–7</oasis:entry>

         <oasis:entry colname="col4">2</oasis:entry>

         <oasis:entry colname="col5">18–19</oasis:entry>

       </oasis:row>
       <oasis:row>

         <oasis:entry colname="col3"><inline-formula><mml:math id="M64" display="inline"><mml:mrow><mml:mi mathvariant="italic">&gt;</mml:mi><mml:mn mathvariant="normal">60</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>

         <oasis:entry colname="col4">1</oasis:entry>

         <oasis:entry colname="col5">20</oasis:entry>

       </oasis:row>
     </oasis:tbody>
   </oasis:tgroup></oasis:table></table-wrap>

</sec>
</sec>
<sec id="Ch1.S2.SS4">
  <label>2.4</label><title>Soil analyses</title>
<sec id="Ch1.S2.SS4.SSS1">
  <label>2.4.1</label><title>SOC, TN, pH<sub>CaCl<sub>2</sub></sub>, exchangeable cations, and reactive metals</title>
      <p id="d2e1633">Infrared spectroscopy was used to support the quantification of the key physico-chemical soil variables, namely SOC, total nitrogen (TN), pH<sub>CaCl<sub>2</sub></sub>, effective cation exchange capacity (ECEC), sum of bases, and reactive metal phases (pyrophosphate and oxalate extractable iron (Fe<sub>Py</sub>, Fe<sub>Ox</sub>), and aluminum (Al<sub>Py</sub>, Al<sub>Ox</sub>). Together with the present study samples, we also calibrated samples from another ongoing study on soil colluvia with soil cores in one to three meters depth in the same study area. These two sample sets contain a total amount of 1731 individual soil samples from 183 soil cores from the study area. Details on data acquisition, spectral pre-processing, calibration sampling, reference analyses, calibration modeling, and the model validation results are described in Appendix <xref ref-type="sec" rid="App1.Ch1.S1"/> and Table <xref ref-type="table" rid="TA1"/>.</p>
</sec>
<sec id="Ch1.S2.SS4.SSS2">
  <label>2.4.2</label><title>Radiocarbon</title>
      <p id="d2e1698">Radiocarbon age (<sup>14</sup>C) and plant available P (P<sub>resin</sub>) were measured directly and not estimated via MIR spectroscopy, since prior work has illustrated the limitations of spectroscopy to estimate radioisotopic concentrations as well as smaller, labile fractions of C, N and P in soil solution <xref ref-type="bibr" rid="bib1.bibx38 bib1.bibx109 bib1.bibx131" id="paren.52"/>. <sup>14</sup>C was measured on 13 hillslope cropland topsoils cleared <inline-formula><mml:math id="M74" display="inline"><mml:mrow><mml:mo>&gt;</mml:mo><mml:mn mathvariant="normal">60</mml:mn></mml:mrow></mml:math></inline-formula> years ago (mafic: <inline-formula><mml:math id="M75" display="inline"><mml:mrow><mml:mi>n</mml:mi><mml:mo>=</mml:mo><mml:mn mathvariant="normal">8</mml:mn></mml:mrow></mml:math></inline-formula>, felsic: <inline-formula><mml:math id="M76" display="inline"><mml:mrow><mml:mi>n</mml:mi><mml:mo>=</mml:mo><mml:mn mathvariant="normal">5</mml:mn></mml:mrow></mml:math></inline-formula>), as well as three subsoil samples, two under cropland (10–20 and 20–30 <inline-formula><mml:math id="M77" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">cm</mml:mi></mml:mrow></mml:math></inline-formula>), and one under <italic>Eucalyptus</italic> (20–30 <inline-formula><mml:math id="M78" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">cm</mml:mi></mml:mrow></mml:math></inline-formula>). This was done to estimate the relative contribution of modern carbon in degraded topsoils vs. older, stabilized C that has been part of the subsoil SOC, which is now surfacing due to erosional soil losses on cropped hillslopes. Milled samples were acidified for 72 <inline-formula><mml:math id="M79" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">h</mml:mi></mml:mrow></mml:math></inline-formula> with 12 <inline-formula><mml:math id="M80" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">M</mml:mi></mml:mrow></mml:math></inline-formula> <inline-formula><mml:math id="M81" display="inline"><mml:mrow class="chem"><mml:mi mathvariant="normal">HCl</mml:mi></mml:mrow></mml:math></inline-formula> vapor bath in a glass desiccator and neutralized over <inline-formula><mml:math id="M82" display="inline"><mml:mrow class="chem"><mml:mi mathvariant="normal">NaOH</mml:mi></mml:mrow></mml:math></inline-formula> pellets at 65 <inline-formula><mml:math id="M83" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">°</mml:mi><mml:mi mathvariant="normal">C</mml:mi></mml:mrow></mml:math></inline-formula> <xref ref-type="bibr" rid="bib1.bibx76" id="paren.53"/>. The samples were measured on a MIni CArbon DAta System (MICADAS), using Accelerator Mass Spectroscopy (AMS) at the Laboratory of Ion Beam Physics at ETH Zurich, Switzerland <xref ref-type="bibr" rid="bib1.bibx129" id="paren.54"/>. For soil reference profiles in forests, composites were created out of three field replicates per topographic position and measured in 0–10, 30–40, and 60–70 <inline-formula><mml:math id="M84" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">cm</mml:mi></mml:mrow></mml:math></inline-formula> on a MICADAS at the Max Planck Institute for Biogeochemistry (Jena, Germany). Radiocarbon activities are reported as Fraction modern (Fm), representing the deviations of the <inline-formula><mml:math id="M85" display="inline"><mml:mrow class="chem"><mml:msup><mml:mi/><mml:mn mathvariant="normal">14</mml:mn></mml:msup><mml:mi mathvariant="normal">C</mml:mi><mml:msup><mml:mo>/</mml:mo><mml:mn mathvariant="normal">12</mml:mn></mml:msup><mml:mi mathvariant="normal">C</mml:mi></mml:mrow></mml:math></inline-formula> ratio from 95 <inline-formula><mml:math id="M86" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">%</mml:mi></mml:mrow></mml:math></inline-formula> modern oxalic acid standard <xref ref-type="bibr" rid="bib1.bibx140" id="paren.55"/>.</p>
</sec>
<sec id="Ch1.S2.SS4.SSS3">
  <label>2.4.3</label><title>Plant available phosphorus</title>
      <p id="d2e1881">Plant available P was measured on sieved forest and all hillslope soil samples by using the resin extraction method. This method is based on the first part of the Hedley extraction protocol <xref ref-type="bibr" rid="bib1.bibx55" id="paren.56"/>: 5.3 <inline-formula><mml:math id="M87" display="inline"><mml:mrow class="unit"><mml:msup><mml:mi mathvariant="normal">cm</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula> anion exchange membranes (resins; VWR International, Material number 551642S) were used per <inline-formula><mml:math id="M88" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">g</mml:mi></mml:mrow></mml:math></inline-formula> dry soil and activated with 0.5 <inline-formula><mml:math id="M89" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">M</mml:mi></mml:mrow></mml:math></inline-formula> <inline-formula><mml:math id="M90" display="inline"><mml:mrow class="chem"><mml:msub><mml:mi mathvariant="normal">NaHCO</mml:mi><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula> (pH 8.5). Milli-Q water was added to the soil and the membranes were used to sorb P from the solution by horizontally shaking for 16 <inline-formula><mml:math id="M91" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">h</mml:mi></mml:mrow></mml:math></inline-formula>. The resin extraction was stopped and P was released from the membranes in 0.5 <inline-formula><mml:math id="M92" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">M</mml:mi></mml:mrow></mml:math></inline-formula> <inline-formula><mml:math id="M93" display="inline"><mml:mrow class="chem"><mml:msub><mml:mi mathvariant="normal">H</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msub><mml:msub><mml:mi mathvariant="normal">SO</mml:mi><mml:mn mathvariant="normal">4</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula> for 1.5 <inline-formula><mml:math id="M94" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">h</mml:mi></mml:mrow></mml:math></inline-formula> on a horizontal shaker (1.25 <inline-formula><mml:math id="M95" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">mL</mml:mi><mml:mspace linebreak="nobreak" width="0.125em"/><mml:msup><mml:mi mathvariant="normal">cm</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">2</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula> membrane). All extractions were performed at effective soil pH. Phosphate in the <inline-formula><mml:math id="M96" display="inline"><mml:mrow class="chem"><mml:msub><mml:mi mathvariant="normal">H</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msub><mml:msub><mml:mi mathvariant="normal">SO</mml:mi><mml:mn mathvariant="normal">4</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula> solution was colorimetrically quantified on a microplate photometer (Tecan Infinite M200, Tecan Austria GmbH, Austria) using the malachite green method <xref ref-type="bibr" rid="bib1.bibx28" id="paren.57"/>.</p>
</sec>
</sec>
<sec id="Ch1.S2.SS5">
  <label>2.5</label><title>Estimation of SOC and soil loss on eroding hillslopes</title>
      <p id="d2e2013">To quantify the SOC loss relative to the old-growth forest reference profile, we employed a SOC content-matching approach. These estimations were only possible in the mafic region due to the lack of an observed effect of time since deforestation on SOC content in the felsic region. The SOC matching approach assumes that depth profiles of SOC contents and stabilization mechanisms in the original, pre-erosion hillslope profiles resembled the depth profiles of undisturbed forest profiles. Although forest reference profiles (hillslopes and plateaus) developed on the same parent material and did not show any indication of erosion (results not shown; see <xref ref-type="bibr" rid="bib1.bibx38" id="altparen.58"/>), calculations based solely on SOC matching may overestimate erosion rates and thus need to be interpreted with care. In this study, we interpret SOC losses compared to forest reference profiles as the combined effect of land conversion and higher erosion rates under cropland. The procedure was as follows: For each hillslope sample, the equivalent depth in the forest profile was determined by identifying the depth in the reference profile where the SOC content matched the hillslope topsoil content. We used linear interpolation to estimate the equivalent depth in the forest profile between the measured reference 10 <inline-formula><mml:math id="M97" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">cm</mml:mi></mml:mrow></mml:math></inline-formula>-increments. SOC stock loss was quantified by calculating the cumulative forest SOC stock above that specific depth. To account for the inherent spatial heterogeneity of the old-growth forest, we performed this matching for each hillslope across the mean and the <inline-formula><mml:math id="M98" display="inline"><mml:mrow><mml:mo>±</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:math></inline-formula> standard deviation (SD) of the forest soil profiles. This generated a range of estimates for both the equivalent depth in the forest profile and the SOC stock loss. Hillslope-specific estimates were aggregated by land-use type and time since deforestation to calculate group means and standard errors for SOC content, equivalent depth in forest profile, and total SOC stock loss. The total standard error (SE<inline-formula><mml:math id="M99" display="inline"><mml:mrow><mml:msub><mml:mi/><mml:mi mathvariant="normal">total</mml:mi></mml:msub><mml:mo>=</mml:mo><mml:msqrt><mml:mrow><mml:msubsup><mml:mi mathvariant="normal">SE</mml:mi><mml:mi mathvariant="normal">spatial</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msubsup><mml:mo>+</mml:mo><mml:msubsup><mml:mi mathvariant="normal">SE</mml:mi><mml:mi mathvariant="normal">ref</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msubsup></mml:mrow></mml:msqrt></mml:mrow></mml:math></inline-formula>) for equivalent depth in forest profile and SOC stock loss were calculated by propagating the spatial variance of the hillslope replicates (SE<inline-formula><mml:math id="M100" display="inline"><mml:mrow><mml:msub><mml:mi/><mml:mi mathvariant="normal">spatial</mml:mi></mml:msub><mml:mo>=</mml:mo><mml:msub><mml:mi mathvariant="italic">σ</mml:mi><mml:mi mathvariant="normal">samples</mml:mi></mml:msub><mml:mo>/</mml:mo><mml:msqrt><mml:mi>n</mml:mi></mml:msqrt></mml:mrow></mml:math></inline-formula>) and the uncertainty inherited from the forest reference range SE<inline-formula><mml:math id="M101" display="inline"><mml:mrow><mml:msub><mml:mi/><mml:mi mathvariant="normal">ref</mml:mi></mml:msub><mml:mo>=</mml:mo><mml:mstyle displaystyle="false"><mml:mfrac style="text"><mml:mn mathvariant="normal">1</mml:mn><mml:mi>n</mml:mi></mml:mfrac></mml:mstyle><mml:msubsup><mml:mo>∑</mml:mo><mml:mrow><mml:mi>i</mml:mi><mml:mo>=</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow><mml:mi>n</mml:mi></mml:msubsup><mml:mo>(</mml:mo><mml:mo>(</mml:mo><mml:msub><mml:mi mathvariant="normal">Ref</mml:mi><mml:mrow><mml:mi mathvariant="normal">high</mml:mi><mml:mo>,</mml:mo><mml:mi>i</mml:mi></mml:mrow></mml:msub><mml:mo>-</mml:mo><mml:msub><mml:mi mathvariant="normal">Ref</mml:mi><mml:mrow><mml:mi mathvariant="normal">low</mml:mi><mml:mo>,</mml:mo><mml:mi>i</mml:mi></mml:mrow></mml:msub><mml:mo>)</mml:mo><mml:mo>/</mml:mo><mml:mn mathvariant="normal">2</mml:mn><mml:msqrt><mml:mi>n</mml:mi></mml:msqrt><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula>, where Ref<sub>high</sub> and Ref<sub>low</sub> represent the upper and lower estimates derived from the <inline-formula><mml:math id="M104" display="inline"><mml:mrow><mml:mo>±</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:math></inline-formula> SD forest limits. Soil loss rates (<inline-formula><mml:math id="M105" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">cm</mml:mi><mml:mspace width="0.125em" linebreak="nobreak"/><mml:msup><mml:mi mathvariant="normal">yr</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula>) were calculated using the equivalent depth in forest profile of cropland sites with a known history of 40–60 years since deforestation (<inline-formula><mml:math id="M106" display="inline"><mml:mrow><mml:mn mathvariant="normal">50</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">10</mml:mn></mml:mrow></mml:math></inline-formula> years). This rate was then applied to sites cleared <inline-formula><mml:math id="M107" display="inline"><mml:mrow><mml:mo>&gt;</mml:mo><mml:mn mathvariant="normal">60</mml:mn></mml:mrow></mml:math></inline-formula> years ago to estimate their time since deforestation. All reported uncertainties for rates and ages represent propagated standard errors, incorporating the combined variance from the forest reference profiles, the sampled hillslopes, and the 20-year uncertainty window.</p>
</sec>
<sec id="Ch1.S2.SS6">
  <label>2.6</label><title>Data handling and statistical analyses</title>
      <p id="d2e2234">All statistical analyses and graphical visualizations were performed using the R language <xref ref-type="bibr" rid="bib1.bibx121" id="paren.59"/> and RStudio <xref ref-type="bibr" rid="bib1.bibx115" id="paren.60"/>. For importing the BRUKER binary files, we used the R package <monospace>opusreader2</monospace> version 0.6.2.9000 <xref ref-type="bibr" rid="bib1.bibx9" id="paren.61"/>, the package <monospace>prospectr</monospace> version 0.2.7 <xref ref-type="bibr" rid="bib1.bibx137" id="paren.62"/> for infrared data resampling and pre-processing, and the package <monospace>resemble</monospace> version 2.2.3 for chemometrics and calibration modeling (memory-based learning; <xref ref-type="bibr" rid="bib1.bibx123" id="text.63"/>). For mapping, we used the R packages <monospace>ggplot2</monospace> version 3.5.1 <xref ref-type="bibr" rid="bib1.bibx162" id="paren.64"/>, <monospace>terra</monospace> version 1.7-74 <xref ref-type="bibr" rid="bib1.bibx58" id="paren.65"/> and <monospace>geodata</monospace> version 0.5-9 <xref ref-type="bibr" rid="bib1.bibx59" id="paren.66"/>, the latter providing spatial data such as country borders, elevation and land cover raster. For testing the statistical significance of SOC, TN, P<sub>resin</sub>, and ECEC differences between the land use and years since deforestation, Type III ANOVA was performed (unbalanced data) on the log-transformed SOC, TN, ECEC and P<sub>resin</sub> data (to fulfill the model assumptions). A pairwise comparison was done using the Tukey-HSD test. The relative changes of SOC, TN, ECEC, and P<sub>resin</sub> on the hillslopes were calculated compared to the forest means using (hillslope SOC content <inline-formula><mml:math id="M111" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula> mean forest SOC content) <inline-formula><mml:math id="M112" display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> mean forest SOC content <inline-formula><mml:math id="M113" display="inline"><mml:mo>×</mml:mo></mml:math></inline-formula> 100). Uncertainties were calculated using standard error of the means (standard error of the means <inline-formula><mml:math id="M114" display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> mean forest SOC content <inline-formula><mml:math id="M115" display="inline"><mml:mo>×</mml:mo></mml:math></inline-formula> 100).</p>
</sec>
</sec>
<sec id="Ch1.S3">
  <label>3</label><title>Results</title>
<sec id="Ch1.S3.SS1">
  <label>3.1</label><title>Change of SOC with time after deforestation</title>
      <p id="d2e2360">In the mafic region, a significant decrease of topsoil SOC content with time after deforestation was observed (Fig. <xref ref-type="fig" rid="F2"/>). Average SOC content on mafic parent material ranged from 64.4 <inline-formula><mml:math id="M116" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">g</mml:mi><mml:mspace width="0.125em" linebreak="nobreak"/><mml:mi mathvariant="normal">C</mml:mi><mml:mspace width="0.125em" linebreak="nobreak"/><mml:msup><mml:mi mathvariant="normal">kg</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula> under forest decreasing to 23.3 <inline-formula><mml:math id="M117" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">g</mml:mi><mml:mspace width="0.125em" linebreak="nobreak"/><mml:mi mathvariant="normal">C</mml:mi><mml:mspace width="0.125em" linebreak="nobreak"/><mml:msup><mml:mi mathvariant="normal">kg</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula> under cropland cleared <inline-formula><mml:math id="M118" display="inline"><mml:mrow><mml:mo>&gt;</mml:mo><mml:mn mathvariant="normal">60</mml:mn></mml:mrow></mml:math></inline-formula> years ago. Abandoned fields had an average SOC content of 19.7 <inline-formula><mml:math id="M119" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">g</mml:mi><mml:mspace width="0.125em" linebreak="nobreak"/><mml:mi mathvariant="normal">C</mml:mi><mml:mspace width="0.125em" linebreak="nobreak"/><mml:msup><mml:mi mathvariant="normal">kg</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula>, while soil under <italic>Eucalyptus</italic>, cleared 40–60 years and <inline-formula><mml:math id="M120" display="inline"><mml:mrow><mml:mo>&gt;</mml:mo><mml:mn mathvariant="normal">60</mml:mn></mml:mrow></mml:math></inline-formula> years ago, had an average of 40.5 and 38.1 <inline-formula><mml:math id="M121" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">g</mml:mi><mml:mspace width="0.125em" linebreak="nobreak"/><mml:mi mathvariant="normal">C</mml:mi><mml:mspace width="0.125em" linebreak="nobreak"/><mml:msup><mml:mi mathvariant="normal">kg</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula>, respectively. Mean relative change (<inline-formula><mml:math id="M122" display="inline"><mml:mo lspace="0mm">±</mml:mo></mml:math></inline-formula> standard error of the means) in topsoil SOC content compared to the forest mean were <inline-formula><mml:math id="M123" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>64 <inline-formula><mml:math id="M124" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">%</mml:mi></mml:mrow></mml:math></inline-formula> (<inline-formula><mml:math id="M125" display="inline"><mml:mrow><mml:mo>±</mml:mo><mml:mn mathvariant="normal">9</mml:mn></mml:mrow></mml:math></inline-formula> <inline-formula><mml:math id="M126" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">%</mml:mi></mml:mrow></mml:math></inline-formula>) on cropland cleared <inline-formula><mml:math id="M127" display="inline"><mml:mrow><mml:mo>&gt;</mml:mo><mml:mn mathvariant="normal">60</mml:mn></mml:mrow></mml:math></inline-formula> years ago, <inline-formula><mml:math id="M128" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>69 <inline-formula><mml:math id="M129" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">%</mml:mi></mml:mrow></mml:math></inline-formula> (<inline-formula><mml:math id="M130" display="inline"><mml:mrow><mml:mo>±</mml:mo><mml:mn mathvariant="normal">15</mml:mn></mml:mrow></mml:math></inline-formula> <inline-formula><mml:math id="M131" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">%</mml:mi></mml:mrow></mml:math></inline-formula>) on abandoned sites, and <inline-formula><mml:math id="M132" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>41 <inline-formula><mml:math id="M133" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">%</mml:mi></mml:mrow></mml:math></inline-formula> (<inline-formula><mml:math id="M134" display="inline"><mml:mrow><mml:mo>±</mml:mo><mml:mn mathvariant="normal">12</mml:mn></mml:mrow></mml:math></inline-formula> <inline-formula><mml:math id="M135" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">%</mml:mi></mml:mrow></mml:math></inline-formula>) in soil under <italic>Eucalyptus</italic> monoculture cleared <inline-formula><mml:math id="M136" display="inline"><mml:mrow><mml:mo>&gt;</mml:mo><mml:mn mathvariant="normal">60</mml:mn></mml:mrow></mml:math></inline-formula> years ago (Fig. <xref ref-type="fig" rid="FD4"/>).</p>
      <p id="d2e2603">In topsoils of the felsic region, SOC did not exhibit a decrease along the deforestation chronosequence as in the mafic region. Nevertheless, SOC content in degraded cropland was similar to its equivalent in the mafic region. Forest topsoils in the felsic region (mean of 36.5 <inline-formula><mml:math id="M137" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">g</mml:mi><mml:mspace linebreak="nobreak" width="0.125em"/><mml:mi mathvariant="normal">C</mml:mi><mml:mspace width="0.125em" linebreak="nobreak"/><mml:msup><mml:mi mathvariant="normal">kg</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula>) did not show significantly higher SOC content than nearby croplands (mean of 30.9 <inline-formula><mml:math id="M138" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">g</mml:mi><mml:mspace linebreak="nobreak" width="0.125em"/><mml:mi mathvariant="normal">C</mml:mi><mml:mspace linebreak="nobreak" width="0.125em"/><mml:msup><mml:mi mathvariant="normal">kg</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula>), even though a slight, but not significant trend towards lower SOC content with time since deforestation was visible. Soils under <italic>Eucalyptus</italic> had the highest mean SOC content (59.6 <inline-formula><mml:math id="M139" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">g</mml:mi><mml:mspace linebreak="nobreak" width="0.125em"/><mml:mi mathvariant="normal">C</mml:mi><mml:mspace width="0.125em" linebreak="nobreak"/><mml:msup><mml:mi mathvariant="normal">kg</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula>) when sites were cleared 2–7 years ago and the lowest content (20.6 <inline-formula><mml:math id="M140" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">g</mml:mi><mml:mspace width="0.125em" linebreak="nobreak"/><mml:mi mathvariant="normal">C</mml:mi><mml:mspace width="0.125em" linebreak="nobreak"/><mml:msup><mml:mi mathvariant="normal">kg</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula>) when cleared <inline-formula><mml:math id="M141" display="inline"><mml:mrow><mml:mo>&gt;</mml:mo><mml:mn mathvariant="normal">60</mml:mn></mml:mrow></mml:math></inline-formula> years ago (Fig. <xref ref-type="fig" rid="F2"/>).</p>

      <fig id="F2" specific-use="star"><label>Figure 2</label><caption><p id="d2e2704">Soil organic carbon (SOC) in 0–10 <inline-formula><mml:math id="M142" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">cm</mml:mi></mml:mrow></mml:math></inline-formula> in soils developed on mafic (top) and felsic (bottom) parent material. Green to yellow colors correspond to the deforestation chronosequence (0, 2–7, 10–20, 40–60, <inline-formula><mml:math id="M143" display="inline"><mml:mrow><mml:mo>&gt;</mml:mo><mml:mn mathvariant="normal">60</mml:mn></mml:mrow></mml:math></inline-formula> years after deforestation). Data are split by land cover into forest, cropland, abandoned (abnd.), and <italic>Eucalyptus</italic>. Within each geology (mafic and felsic), letters indicate significant differences between the sites (ANOVA of log transformed SOC with a subsequent Tukey Post-Hoc test, significance level 0.05).</p></caption>
          <graphic xlink:href="https://bg.copernicus.org/articles/23/3907/2026/bg-23-3907-2026-f02.png"/>

        </fig>

</sec>
<sec id="Ch1.S3.SS2">
  <label>3.2</label><title>Fraction modern in topsoil</title>
      <p id="d2e2742">In the mafic region, Fm ranged between 1.03–1.05 in the topsoils of the depth-explicit forest reference profiles and decreased to 0.72–0.78 at 60–70 <inline-formula><mml:math id="M144" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">cm</mml:mi></mml:mrow></mml:math></inline-formula> soil depth. In forest reference profiles within the felsic region, Fm ranged between 1.04–1.07 in topsoil (0–10 <inline-formula><mml:math id="M145" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">cm</mml:mi></mml:mrow></mml:math></inline-formula>) and decreased to 0.46–0.77 at 60–70 <inline-formula><mml:math id="M146" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">cm</mml:mi></mml:mrow></mml:math></inline-formula> soil depth. Cropland topsoils in the mafic region cleared <inline-formula><mml:math id="M147" display="inline"><mml:mrow><mml:mo>&gt;</mml:mo><mml:mn mathvariant="normal">60</mml:mn></mml:mrow></mml:math></inline-formula> years ago had lower Fm values (mean of 0.81 in 0–10 <inline-formula><mml:math id="M148" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">cm</mml:mi></mml:mrow></mml:math></inline-formula>) than the corresponding forest reference topsoils (mean of 1.05; Fig. <xref ref-type="fig" rid="F3"/>a). These measured topsoil cropland Fm values corresponded to the depths of 30–40 and 60–70 <inline-formula><mml:math id="M149" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">cm</mml:mi></mml:mrow></mml:math></inline-formula> in the reference forest profiles (Fm <inline-formula><mml:math id="M150" display="inline"><mml:mo>=</mml:mo></mml:math></inline-formula> 0.68–0.85; Fig. <xref ref-type="fig" rid="F3"/>a). In contrast, topsoils of cropland in the felsic region cleared <inline-formula><mml:math id="M151" display="inline"><mml:mrow><mml:mo>&gt;</mml:mo><mml:mn mathvariant="normal">60</mml:mn></mml:mrow></mml:math></inline-formula> years ago had comparable Fm values to sites in the forest reference profiles (average of 1.01 in 0–10 <inline-formula><mml:math id="M152" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">cm</mml:mi></mml:mrow></mml:math></inline-formula>).</p>

      <fig id="F3" specific-use="star"><label>Figure 3</label><caption><p id="d2e2827"><bold>(a)</bold> Fraction modern (Fm), and <bold>(b)</bold> soil organic carbon (SOC) versus soil depth in degraded hillslopes of cropland (circles), <italic>Eucalyptus</italic> (diamonds), abandoned cropland (upside down triangles) sites cleared <inline-formula><mml:math id="M153" display="inline"><mml:mrow><mml:mo>&gt;</mml:mo><mml:mn mathvariant="normal">60</mml:mn></mml:mrow></mml:math></inline-formula> years ago (yellow symbols). Forest reference profiles from <xref ref-type="bibr" rid="bib1.bibx38 bib1.bibx39" id="text.67"/> are plotted as green triangles.</p></caption>
          <graphic xlink:href="https://bg.copernicus.org/articles/23/3907/2026/bg-23-3907-2026-f03.png"/>

        </fig>

</sec>
<sec id="Ch1.S3.SS3">
  <label>3.3</label><title>Soil loss rates and lifetime of cropped hillslopes in the mafic region</title>
      <p id="d2e2865">The current SOC content in cropland, abandoned, and <italic>Eucalyptus</italic> monocultures topsoils cleared <inline-formula><mml:math id="M154" display="inline"><mml:mrow><mml:mo>&gt;</mml:mo><mml:mn mathvariant="normal">60</mml:mn></mml:mrow></mml:math></inline-formula> years ago was equivalent to the SOC content of the reference profile at depths of <inline-formula><mml:math id="M155" display="inline"><mml:mrow><mml:mn mathvariant="normal">47</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">7</mml:mn></mml:mrow></mml:math></inline-formula>, <inline-formula><mml:math id="M156" display="inline"><mml:mrow><mml:mn mathvariant="normal">59</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">13</mml:mn></mml:mrow></mml:math></inline-formula>, and <inline-formula><mml:math id="M157" display="inline"><mml:mrow><mml:mn mathvariant="normal">24</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">5</mml:mn></mml:mrow></mml:math></inline-formula> <inline-formula><mml:math id="M158" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">cm</mml:mi></mml:mrow></mml:math></inline-formula> soil depths, respectively (Fig. <xref ref-type="fig" rid="F4"/>). The corresponding losses of SOC stocks (cumulative SOC stocks above the calculated depths) are estimated to be <inline-formula><mml:math id="M159" display="inline"><mml:mrow><mml:mn mathvariant="normal">157</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">23</mml:mn></mml:mrow></mml:math></inline-formula>, <inline-formula><mml:math id="M160" display="inline"><mml:mrow><mml:mn mathvariant="normal">192</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">44</mml:mn></mml:mrow></mml:math></inline-formula>, and <inline-formula><mml:math id="M161" display="inline"><mml:mrow><mml:mn mathvariant="normal">85</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">23</mml:mn></mml:mrow></mml:math></inline-formula> <inline-formula><mml:math id="M162" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">t</mml:mi><mml:mspace linebreak="nobreak" width="0.125em"/><mml:mi mathvariant="normal">C</mml:mi><mml:mspace width="0.125em" linebreak="nobreak"/><mml:msup><mml:mi mathvariant="normal">ha</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula>, respectively (Fig. <xref ref-type="fig" rid="F4"/>). We estimated that the soil above the depth of <inline-formula><mml:math id="M163" display="inline"><mml:mrow><mml:mn mathvariant="normal">21</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">5</mml:mn></mml:mrow></mml:math></inline-formula> <inline-formula><mml:math id="M164" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">cm</mml:mi></mml:mrow></mml:math></inline-formula> had been lost from the hillslope over the last 40–60 years indicating a loss rate of <inline-formula><mml:math id="M165" display="inline"><mml:mrow><mml:mn mathvariant="normal">0.41</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">0.13</mml:mn></mml:mrow></mml:math></inline-formula> <inline-formula><mml:math id="M166" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">cm</mml:mi><mml:mspace width="0.125em" linebreak="nobreak"/><mml:msup><mml:mi mathvariant="normal">yr</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula>. Based on this loss rate, we calculated conversion ages of <inline-formula><mml:math id="M167" display="inline"><mml:mrow><mml:mn mathvariant="normal">114</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">40</mml:mn></mml:mrow></mml:math></inline-formula> years for cropland sites and <inline-formula><mml:math id="M168" display="inline"><mml:mrow><mml:mn mathvariant="normal">145</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">56</mml:mn></mml:mrow></mml:math></inline-formula> years for abandoned sites (for the sites with <inline-formula><mml:math id="M169" display="inline"><mml:mrow><mml:mo>&gt;</mml:mo><mml:mn mathvariant="normal">60</mml:mn></mml:mrow></mml:math></inline-formula> years since deforestation).</p>

      <fig id="F4" specific-use="star"><label>Figure 4</label><caption><p id="d2e3073">Mean Soil Organic Carbon (SOC) content plotted against the equivalent depth in forest profile for cleared hillslopes (cropland, abandoned, and <italic>Eucalyptus</italic>) along the deforestation chronosequence (2–7, 40–60, <inline-formula><mml:math id="M170" display="inline"><mml:mrow><mml:mo>&gt;</mml:mo><mml:mn mathvariant="normal">60</mml:mn></mml:mrow></mml:math></inline-formula> years since deforestation) in the mafic region. The shaded green ribbon and associated green line represent the old-growth forest reference (Mean <inline-formula><mml:math id="M171" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> SD, <inline-formula><mml:math id="M172" display="inline"><mml:mrow><mml:mi>n</mml:mi><mml:mo>=</mml:mo><mml:mn mathvariant="normal">9</mml:mn></mml:mrow></mml:math></inline-formula>). Vertical and horizontal error bars represent the propagated standard error (SE) for SOC content and equivalent depth in forest profile, respectively. Annotated boxes provide the calculated SOC stock loss (<inline-formula><mml:math id="M173" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">t</mml:mi><mml:mspace linebreak="nobreak" width="0.125em"/><mml:mi mathvariant="normal">C</mml:mi><mml:mspace width="0.125em" linebreak="nobreak"/><mml:msup><mml:mi mathvariant="normal">ha</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula> <inline-formula><mml:math id="M174" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> SE). The cropland sites with 40–60 years since deforestation  (50 <inline-formula><mml:math id="M175" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 10 years) were used to derive the annual loss rate (<inline-formula><mml:math id="M176" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">cm</mml:mi><mml:mspace linebreak="nobreak" width="0.125em"/><mml:msup><mml:mi mathvariant="normal">yr</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula>). This rate was subsequently applied to estimate the conversion age (yr <inline-formula><mml:math id="M177" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> SE) of the hillslopes cleared <inline-formula><mml:math id="M178" display="inline"><mml:mrow><mml:mo>&gt;</mml:mo><mml:mn mathvariant="normal">60</mml:mn></mml:mrow></mml:math></inline-formula> years ago. Note: the category with 10–20 years since deforestation was excluded due to the low sample number (<inline-formula><mml:math id="M179" display="inline"><mml:mrow><mml:mi>n</mml:mi><mml:mo>=</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:math></inline-formula>).</p></caption>
          <graphic xlink:href="https://bg.copernicus.org/articles/23/3907/2026/bg-23-3907-2026-f04.png"/>

        </fig>

</sec>
<sec id="Ch1.S3.SS4">
  <label>3.4</label><title>Changes to soil fertility proxies after deforestation</title>
<sec id="Ch1.S3.SS4.SSS1">
  <label>3.4.1</label><title>Total nitrogen</title>
      <p id="d2e3210">TN followed a similar pattern as SOC in both parent materials. In mafic soils, a strong decrease of TN content was observed from forest sites (mean TN of 6.0 <inline-formula><mml:math id="M180" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">g</mml:mi><mml:mspace linebreak="nobreak" width="0.125em"/><mml:mi mathvariant="normal">N</mml:mi><mml:mspace linebreak="nobreak" width="0.125em"/><mml:msup><mml:mi mathvariant="normal">kg</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula>) to soils under cropland with age since cropland conversion (2–7 years: 3.5 <inline-formula><mml:math id="M181" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">g</mml:mi><mml:mspace linebreak="nobreak" width="0.125em"/><mml:mi mathvariant="normal">N</mml:mi><mml:mspace width="0.125em" linebreak="nobreak"/><mml:msup><mml:mi mathvariant="normal">kg</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula>, 10–20 years: 2.5 <inline-formula><mml:math id="M182" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">g</mml:mi><mml:mspace width="0.125em" linebreak="nobreak"/><mml:mi mathvariant="normal">N</mml:mi><mml:mspace width="0.125em" linebreak="nobreak"/><mml:msup><mml:mi mathvariant="normal">kg</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula>, 40–60: 3.2 <inline-formula><mml:math id="M183" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">g</mml:mi><mml:mspace linebreak="nobreak" width="0.125em"/><mml:mi mathvariant="normal">N</mml:mi><mml:mspace linebreak="nobreak" width="0.125em"/><mml:msup><mml:mi mathvariant="normal">kg</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula>, <inline-formula><mml:math id="M184" display="inline"><mml:mrow><mml:mo>&gt;</mml:mo><mml:mn mathvariant="normal">60</mml:mn></mml:mrow></mml:math></inline-formula> years: 1.9 <inline-formula><mml:math id="M185" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">g</mml:mi><mml:mspace linebreak="nobreak" width="0.125em"/><mml:mi mathvariant="normal">N</mml:mi><mml:mspace width="0.125em" linebreak="nobreak"/><mml:msup><mml:mi mathvariant="normal">kg</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula>), while abandoned sites had the lowest mean TN levels (1.7 <inline-formula><mml:math id="M186" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">g</mml:mi><mml:mspace linebreak="nobreak" width="0.125em"/><mml:mi mathvariant="normal">N</mml:mi><mml:mspace linebreak="nobreak" width="0.125em"/><mml:msup><mml:mi mathvariant="normal">kg</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula>). Soils under <italic>Eucalyptus</italic> had an average TN content of 3.0 and 2.5 <inline-formula><mml:math id="M187" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">g</mml:mi><mml:mspace linebreak="nobreak" width="0.125em"/><mml:mi mathvariant="normal">N</mml:mi><mml:mspace linebreak="nobreak" width="0.125em"/><mml:msup><mml:mi mathvariant="normal">kg</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula>, cleared 40–60 and <inline-formula><mml:math id="M188" display="inline"><mml:mrow><mml:mo>&gt;</mml:mo><mml:mn mathvariant="normal">60</mml:mn></mml:mrow></mml:math></inline-formula> years ago, respectively (Fig. <xref ref-type="fig" rid="F5"/>). The average relative changes compared to the forest for cropland and abandoned cleared <inline-formula><mml:math id="M189" display="inline"><mml:mrow><mml:mo>&gt;</mml:mo><mml:mn mathvariant="normal">60</mml:mn></mml:mrow></mml:math></inline-formula> years ago ranged from <inline-formula><mml:math id="M190" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>68 <inline-formula><mml:math id="M191" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">%</mml:mi></mml:mrow></mml:math></inline-formula> (<inline-formula><mml:math id="M192" display="inline"><mml:mrow><mml:mo>±</mml:mo><mml:mn mathvariant="normal">6</mml:mn></mml:mrow></mml:math></inline-formula> <inline-formula><mml:math id="M193" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">%</mml:mi></mml:mrow></mml:math></inline-formula>) to <inline-formula><mml:math id="M194" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>72 <inline-formula><mml:math id="M195" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">%</mml:mi></mml:mrow></mml:math></inline-formula> (<inline-formula><mml:math id="M196" display="inline"><mml:mrow><mml:mo>±</mml:mo><mml:mn mathvariant="normal">9</mml:mn></mml:mrow></mml:math></inline-formula> <inline-formula><mml:math id="M197" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">%</mml:mi></mml:mrow></mml:math></inline-formula>) (Fig. <xref ref-type="fig" rid="FD4"/>). In the felsic region, topsoil TN exhibited stronger decreases than SOC with time since deforestation and conversion to cropland; the average TN content in forests was 3.7 <inline-formula><mml:math id="M198" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">g</mml:mi><mml:mspace width="0.125em" linebreak="nobreak"/><mml:mi mathvariant="normal">N</mml:mi><mml:mspace linebreak="nobreak" width="0.125em"/><mml:msup><mml:mi mathvariant="normal">kg</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula> and decreased to 2.4 <inline-formula><mml:math id="M199" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">g</mml:mi><mml:mspace width="0.125em" linebreak="nobreak"/><mml:mi mathvariant="normal">N</mml:mi><mml:mspace linebreak="nobreak" width="0.125em"/><mml:msup><mml:mi mathvariant="normal">kg</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula> under cropland cleared <inline-formula><mml:math id="M200" display="inline"><mml:mrow><mml:mo>&gt;</mml:mo><mml:mn mathvariant="normal">60</mml:mn></mml:mrow></mml:math></inline-formula> years ago (Fig. <xref ref-type="fig" rid="F5"/>). In soils under <italic>Eucalyptus</italic>, TN content was 4.5 and 1.4 <inline-formula><mml:math id="M201" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">g</mml:mi><mml:mspace linebreak="nobreak" width="0.125em"/><mml:mi mathvariant="normal">N</mml:mi><mml:mspace width="0.125em" linebreak="nobreak"/><mml:msup><mml:mi mathvariant="normal">kg</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula> for sites cleared 2–7 and <inline-formula><mml:math id="M202" display="inline"><mml:mrow><mml:mo>&gt;</mml:mo><mml:mn mathvariant="normal">60</mml:mn></mml:mrow></mml:math></inline-formula> years ago, respectively (Fig. <xref ref-type="fig" rid="F5"/>). The average relative TN change on cropland sites cleared <inline-formula><mml:math id="M203" display="inline"><mml:mrow><mml:mo>&gt;</mml:mo><mml:mn mathvariant="normal">60</mml:mn></mml:mrow></mml:math></inline-formula> years ago was <inline-formula><mml:math id="M204" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>36 <inline-formula><mml:math id="M205" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">%</mml:mi></mml:mrow></mml:math></inline-formula> (<inline-formula><mml:math id="M206" display="inline"><mml:mrow><mml:mo>±</mml:mo><mml:mn mathvariant="normal">9</mml:mn></mml:mrow></mml:math></inline-formula> <inline-formula><mml:math id="M207" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">%</mml:mi></mml:mrow></mml:math></inline-formula>) (Fig. <xref ref-type="fig" rid="FD4"/>).</p>
</sec>
<sec id="Ch1.S3.SS4.SSS2">
  <label>3.4.2</label><title>Effective cation exchange capacity</title>
      <p id="d2e3601">In topsoils of the mafic region, ECEC ranged from a minimum of 1.7 <inline-formula><mml:math id="M208" display="inline"><mml:mrow class="unit"><mml:msub><mml:mi mathvariant="normal">cmol</mml:mi><mml:mi mathvariant="normal">c</mml:mi></mml:msub><mml:mspace linebreak="nobreak" width="0.125em"/><mml:msup><mml:mi mathvariant="normal">kg</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula> under <italic>Eucalyptus</italic> on sites cleared <inline-formula><mml:math id="M209" display="inline"><mml:mrow><mml:mo>&gt;</mml:mo><mml:mn mathvariant="normal">60</mml:mn></mml:mrow></mml:math></inline-formula> years ago to 20.6 <inline-formula><mml:math id="M210" display="inline"><mml:mrow class="unit"><mml:msub><mml:mi mathvariant="normal">cmol</mml:mi><mml:mi mathvariant="normal">c</mml:mi></mml:msub><mml:mspace linebreak="nobreak" width="0.125em"/><mml:msup><mml:mi mathvariant="normal">kg</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula> under forest at an overall average of 7.6 <inline-formula><mml:math id="M211" display="inline"><mml:mrow class="unit"><mml:msub><mml:mi mathvariant="normal">cmol</mml:mi><mml:mi mathvariant="normal">c</mml:mi></mml:msub><mml:mspace width="0.125em" linebreak="nobreak"/><mml:msup><mml:mi mathvariant="normal">kg</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula> regardless of land use and time since deforestation. Mean relative changes of ECEC in soils under <italic>Eucalyptus</italic> monocultures were <inline-formula><mml:math id="M212" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>55 <inline-formula><mml:math id="M213" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">%</mml:mi></mml:mrow></mml:math></inline-formula> (<inline-formula><mml:math id="M214" display="inline"><mml:mrow><mml:mo>±</mml:mo><mml:mn mathvariant="normal">13</mml:mn></mml:mrow></mml:math></inline-formula> <inline-formula><mml:math id="M215" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">%</mml:mi></mml:mrow></mml:math></inline-formula>) and <inline-formula><mml:math id="M216" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>61 <inline-formula><mml:math id="M217" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">%</mml:mi></mml:mrow></mml:math></inline-formula> (<inline-formula><mml:math id="M218" display="inline"><mml:mrow><mml:mo>±</mml:mo><mml:mn mathvariant="normal">20</mml:mn></mml:mrow></mml:math></inline-formula> <inline-formula><mml:math id="M219" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">%</mml:mi></mml:mrow></mml:math></inline-formula>) on sites 40–60 and <inline-formula><mml:math id="M220" display="inline"><mml:mrow><mml:mo>&gt;</mml:mo><mml:mn mathvariant="normal">60</mml:mn></mml:mrow></mml:math></inline-formula> years after deforestation. In the felsic region, topsoil ECEC ranged from 7.4 to 24.4 <inline-formula><mml:math id="M221" display="inline"><mml:mrow class="unit"><mml:msub><mml:mi mathvariant="normal">cmol</mml:mi><mml:mi mathvariant="normal">c</mml:mi></mml:msub><mml:mspace linebreak="nobreak" width="0.125em"/><mml:msup><mml:mi mathvariant="normal">kg</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula>, with an overall mean of 13.2 <inline-formula><mml:math id="M222" display="inline"><mml:mrow class="unit"><mml:msub><mml:mi mathvariant="normal">cmol</mml:mi><mml:mi mathvariant="normal">c</mml:mi></mml:msub><mml:mspace linebreak="nobreak" width="0.125em"/><mml:msup><mml:mi mathvariant="normal">kg</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula>. Lowest values were observed in cropland topsoils cleared 10–20, 40–60, and <inline-formula><mml:math id="M223" display="inline"><mml:mrow><mml:mo>&gt;</mml:mo><mml:mn mathvariant="normal">60</mml:mn></mml:mrow></mml:math></inline-formula> years ago. Highest ECEC values were observed in forest topsoils (Fig. <xref ref-type="fig" rid="F5"/>).</p>
</sec>
<sec id="Ch1.S3.SS4.SSS3">
  <label>3.4.3</label><title>Plant available phosphorus</title>
      <p id="d2e3819">In the mafic region, plant available P content (P<sub>resin</sub>) decreased along the deforestation chronosequence. P<sub>resin</sub> was highest in forest soils (6.7 <inline-formula><mml:math id="M226" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">mg</mml:mi><mml:mspace linebreak="nobreak" width="0.125em"/><mml:msup><mml:mi mathvariant="normal">kg</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula>) and lowest in abandoned hillslope soils cleared <inline-formula><mml:math id="M227" display="inline"><mml:mrow><mml:mo>&gt;</mml:mo><mml:mn mathvariant="normal">60</mml:mn></mml:mrow></mml:math></inline-formula> years ago (0.6 <inline-formula><mml:math id="M228" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">mg</mml:mi><mml:mspace width="0.125em" linebreak="nobreak"/><mml:msup><mml:mi mathvariant="normal">kg</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula>). Croplands that were cleared <inline-formula><mml:math id="M229" display="inline"><mml:mrow><mml:mo>&gt;</mml:mo><mml:mn mathvariant="normal">60</mml:mn></mml:mrow></mml:math></inline-formula> years ago had a mean value of 2.9 <inline-formula><mml:math id="M230" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">mg</mml:mi><mml:mspace width="0.125em" linebreak="nobreak"/><mml:msup><mml:mi mathvariant="normal">kg</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula> and <italic>Eucalyptus</italic> topsoils had mean values of 1.4 and 1.2 <inline-formula><mml:math id="M231" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">mg</mml:mi><mml:mspace linebreak="nobreak" width="0.125em"/><mml:msup><mml:mi mathvariant="normal">kg</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula> when cleared 40–60 and <inline-formula><mml:math id="M232" display="inline"><mml:mrow><mml:mo>&gt;</mml:mo><mml:mn mathvariant="normal">60</mml:mn></mml:mrow></mml:math></inline-formula> years ago, respectively (Fig. <xref ref-type="fig" rid="F5"/>). Compared to the forest, mean relative changes in P<sub>resin</sub> were between <inline-formula><mml:math id="M234" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>82 <inline-formula><mml:math id="M235" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">%</mml:mi></mml:mrow></mml:math></inline-formula> (<inline-formula><mml:math id="M236" display="inline"><mml:mrow><mml:mo>±</mml:mo><mml:mn mathvariant="normal">18</mml:mn></mml:mrow></mml:math></inline-formula> <inline-formula><mml:math id="M237" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">%</mml:mi></mml:mrow></mml:math></inline-formula>) in <italic>Eucalyptus</italic> topsoils <inline-formula><mml:math id="M238" display="inline"><mml:mrow><mml:mo>&gt;</mml:mo><mml:mn mathvariant="normal">60</mml:mn></mml:mrow></mml:math></inline-formula> years since deforestation and <inline-formula><mml:math id="M239" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>92 <inline-formula><mml:math id="M240" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">%</mml:mi></mml:mrow></mml:math></inline-formula> (<inline-formula><mml:math id="M241" display="inline"><mml:mrow><mml:mo>±</mml:mo><mml:mn mathvariant="normal">25</mml:mn></mml:mrow></mml:math></inline-formula> <inline-formula><mml:math id="M242" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">%</mml:mi></mml:mrow></mml:math></inline-formula>) for abandoned croplands (Fig. <xref ref-type="fig" rid="FD4"/>). In the felsic region, however, P<sub>resin</sub> content did not decrease along the deforestation chronosequence and under the different land uses. Mean values ranged from 11.5 <inline-formula><mml:math id="M244" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">mg</mml:mi><mml:mspace linebreak="nobreak" width="0.125em"/><mml:msup><mml:mi mathvariant="normal">kg</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula> in forest topsoils, 1.7–7.0 <inline-formula><mml:math id="M245" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">mg</mml:mi><mml:mspace linebreak="nobreak" width="0.125em"/><mml:msup><mml:mi mathvariant="normal">kg</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula> in cropland topsoils, and 6.0 under <italic>Eucalyptus</italic> on sites with 2–7 years since deforestation (Fig. <xref ref-type="fig" rid="F5"/>).</p>

      <fig id="F5" specific-use="star"><label>Figure 5</label><caption><p id="d2e4087">Total nitrogen (TN), plant available P (P<sub>resin</sub>), and effective cation exchange capacity (ECEC) in 0–10 <inline-formula><mml:math id="M247" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">cm</mml:mi></mml:mrow></mml:math></inline-formula> under forests, croplands, <italic>Eucalyptus</italic>, and on abandoned sites (abnd.) along the deforestation chronosequence (0, 2–7, 10–20, 40–60, <inline-formula><mml:math id="M248" display="inline"><mml:mrow><mml:mo>&gt;</mml:mo><mml:mn mathvariant="normal">60</mml:mn></mml:mrow></mml:math></inline-formula> years since deforestation) in soils developed on mafic (left) and felsic (right) parent material. Different letters indicate significant differences to the other groups of the same geology (ANOVA of log transformed response variables with a subsequent Tukey Post-Hoc test, significance level 0.05).</p></caption>
            <graphic xlink:href="https://bg.copernicus.org/articles/23/3907/2026/bg-23-3907-2026-f05.png"/>

          </fig>

</sec>
</sec>
<sec id="Ch1.S3.SS5">
  <label>3.5</label><title>Land abandonment and relation to solution chemistry and fertility</title>
      <p id="d2e4136">In the mafic region, numerous hillslopes were found to be abandoned due to infertility. This was not the case, however, in the felsic region, where only one highly degraded hillslope under <italic>Eucalyptus</italic> (cleared <inline-formula><mml:math id="M249" display="inline"><mml:mrow><mml:mo>&gt;</mml:mo><mml:mn mathvariant="normal">60</mml:mn></mml:mrow></mml:math></inline-formula> years ago) could be sampled. Mean pH<sub>CaCl<sub>2</sub></sub> values (mafic: 4.17, felsic: 5.24; Fig. <xref ref-type="fig" rid="F6"/>b, f), and the sum of base cations (mafic: 5.21 <inline-formula><mml:math id="M251" display="inline"><mml:mrow class="unit"><mml:msub><mml:mi mathvariant="normal">cmol</mml:mi><mml:mi mathvariant="normal">c</mml:mi></mml:msub><mml:mspace linebreak="nobreak" width="0.125em"/><mml:msup><mml:mi mathvariant="normal">kg</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula>, felsic: 12.90 <inline-formula><mml:math id="M252" display="inline"><mml:mrow class="unit"><mml:msub><mml:mi mathvariant="normal">cmol</mml:mi><mml:mi mathvariant="normal">c</mml:mi></mml:msub><mml:mspace width="0.125em" linebreak="nobreak"/><mml:msup><mml:mi mathvariant="normal">kg</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula>; Fig. <xref ref-type="fig" rid="F6"/>c, g) were lower in the mafic compared to the felsic region. Consequently, mean Al<sup>3+</sup> values were generally higher in topsoils of the mafic than of the felsic region (mafic: 2.4 <inline-formula><mml:math id="M254" display="inline"><mml:mrow class="unit"><mml:msub><mml:mi mathvariant="normal">cmol</mml:mi><mml:mi mathvariant="normal">c</mml:mi></mml:msub><mml:mspace linebreak="nobreak" width="0.125em"/><mml:msup><mml:mi mathvariant="normal">kg</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula>, felsic: 0.4 <inline-formula><mml:math id="M255" display="inline"><mml:mrow class="unit"><mml:msub><mml:mi mathvariant="normal">cmol</mml:mi><mml:mi mathvariant="normal">c</mml:mi></mml:msub><mml:mspace linebreak="nobreak" width="0.125em"/><mml:msup><mml:mi mathvariant="normal">kg</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula>; Fig. <xref ref-type="fig" rid="F6"/>a, e). In the mafic region, decreasing pH<sub>CaCl<sub>2</sub></sub> significantly co-varied with decreasing sum of base cations (Fig. <xref ref-type="fig" rid="F6"/>d) and increasing Al<sup>3+</sup> (Fig. <xref ref-type="fig" rid="F6"/>b). As the ECEC decreased, Al<sup>3+</sup> increased (Fig. <xref ref-type="fig" rid="F6"/>a). Sites with low pH<sub>CaCl<sub>2</sub></sub> values, high Al<sup>3+</sup>, and low base cations were dominated by <italic>Eucalyptus</italic> monocultures, abandoned cropland sites, and forests (Fig. <xref ref-type="fig" rid="F6"/>a, b). For soils in the felsic region, pH<sub>CaCl<sub>2</sub></sub> values significantly and positively correlated with the sum of base cations (Fig. <xref ref-type="fig" rid="F6"/>g). In contrast, there was no clear relationship between exchangeable Al<sup>3+</sup> and either pH<sub>CaCl<sub>2</sub></sub> or ECEC (Fig. <xref ref-type="fig" rid="F6"/>e, f). Topsoils under <italic>Eucalyptus</italic> monoculture, where conversion after deforestation happened just 2–7 years ago, had the highest Al<sup>3+</sup> values in the felsic region (which were still much lower than for most soils in the mafic region; Fig. <xref ref-type="fig" rid="F6"/>e, f).</p>

      <fig id="F6" specific-use="star"><label>Figure 6</label><caption><p id="d2e4401">Correlation of effective cation exchange capacity (ECEC) and pH<sub>CaCl<sub>2</sub></sub> vs. Al<sup>3+</sup>, sum of base cations in topsoils 0–10 <inline-formula><mml:math id="M267" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">cm</mml:mi></mml:mrow></mml:math></inline-formula> developed on mafic (left; <bold>a</bold>–<bold>d</bold>) and felsic parent material (right; <bold>e</bold>–<bold>h</bold>). Linear regression lines, <inline-formula><mml:math id="M268" display="inline"><mml:mrow><mml:msup><mml:mi>R</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula> and <inline-formula><mml:math id="M269" display="inline"><mml:mi>p</mml:mi></mml:math></inline-formula>-value are indicated where <inline-formula><mml:math id="M270" display="inline"><mml:mrow><mml:mi>p</mml:mi><mml:mo>&lt;</mml:mo><mml:mn mathvariant="normal">0.05</mml:mn></mml:mrow></mml:math></inline-formula>.</p></caption>
          <graphic xlink:href="https://bg.copernicus.org/articles/23/3907/2026/bg-23-3907-2026-f06.png"/>

        </fig>

</sec>
<sec id="Ch1.S3.SS6">
  <label>3.6</label><title>Correlations of ECEC, clay, and reactive metals with SOC content</title>
      <p id="d2e4494">ECEC was positively correlated with SOC in soils of the felsic region (<inline-formula><mml:math id="M271" display="inline"><mml:mrow><mml:msup><mml:mi>R</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msup><mml:mo>=</mml:mo><mml:mn mathvariant="normal">0.28</mml:mn></mml:mrow></mml:math></inline-formula>, <inline-formula><mml:math id="M272" display="inline"><mml:mrow><mml:mi>p</mml:mi><mml:mo>&lt;</mml:mo><mml:mn mathvariant="normal">0.01</mml:mn></mml:mrow></mml:math></inline-formula>) but not in the mafic region (no significant correlation; Fig. <xref ref-type="fig" rid="F7"/>), where ECEC values were extremely low (<inline-formula><mml:math id="M273" display="inline"><mml:mrow><mml:mo>&lt;</mml:mo><mml:mn mathvariant="normal">10</mml:mn></mml:mrow></mml:math></inline-formula> <inline-formula><mml:math id="M274" display="inline"><mml:mrow class="unit"><mml:msub><mml:mi mathvariant="normal">cmol</mml:mi><mml:mi mathvariant="normal">c</mml:mi></mml:msub><mml:mspace linebreak="nobreak" width="0.125em"/><mml:msup><mml:mi mathvariant="normal">kg</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula>). Instead, there was a strong correlation of SOC with reactive Al and Fe (Al<sub>PyOx</sub> and Fe<sub>PyOx</sub>) in soils of the mafic region (Al<sub>PyOx</sub>: <inline-formula><mml:math id="M278" display="inline"><mml:mrow><mml:msup><mml:mi>R</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msup><mml:mo>=</mml:mo><mml:mn mathvariant="normal">0.54</mml:mn></mml:mrow></mml:math></inline-formula> and <inline-formula><mml:math id="M279" display="inline"><mml:mrow><mml:mi>p</mml:mi><mml:mo>&lt;</mml:mo><mml:mn mathvariant="normal">0.01</mml:mn></mml:mrow></mml:math></inline-formula>, Fe<sub>PyOx</sub>: <inline-formula><mml:math id="M281" display="inline"><mml:mrow><mml:msup><mml:mi>R</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msup><mml:mo>=</mml:mo><mml:mn mathvariant="normal">0.36</mml:mn></mml:mrow></mml:math></inline-formula> and <inline-formula><mml:math id="M282" display="inline"><mml:mrow><mml:mi>p</mml:mi><mml:mo>&lt;</mml:mo><mml:mn mathvariant="normal">0.01</mml:mn></mml:mrow></mml:math></inline-formula>; Fig. <xref ref-type="fig" rid="F7"/>) but not of the felsic region. Differences between the two geochemical regions were also observed for the content of these two reactive metal phases, with Al<sub>PyOx</sub> ranging between 0.0 <inline-formula><mml:math id="M284" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">%</mml:mi></mml:mrow></mml:math></inline-formula>–0.6 <inline-formula><mml:math id="M285" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">%</mml:mi></mml:mrow></mml:math></inline-formula> and Fe<sub>PyOx</sub> ranging between 0.0 <inline-formula><mml:math id="M287" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">%</mml:mi></mml:mrow></mml:math></inline-formula>–2.1 <inline-formula><mml:math id="M288" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">%</mml:mi></mml:mrow></mml:math></inline-formula> in soils of the felsic region and Al<sub>PyOx</sub> ranging between 0.0 <inline-formula><mml:math id="M290" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">%</mml:mi></mml:mrow></mml:math></inline-formula>–1.2 <inline-formula><mml:math id="M291" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">%</mml:mi></mml:mrow></mml:math></inline-formula> and Fe<sub>PyOx</sub> ranging between 0.0 <inline-formula><mml:math id="M293" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">%</mml:mi></mml:mrow></mml:math></inline-formula>–2.7 <inline-formula><mml:math id="M294" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">%</mml:mi></mml:mrow></mml:math></inline-formula> for soils of the mafic region. Similarly, we observed a decrease of reactive Al and Fe phases with time after deforestation for soils in the mafic region, while these differences were not observed for soils of the felsic region. Although clay content ranged from 28 <inline-formula><mml:math id="M295" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">%</mml:mi></mml:mrow></mml:math></inline-formula>–76 <inline-formula><mml:math id="M296" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">%</mml:mi></mml:mrow></mml:math></inline-formula> and 29 <inline-formula><mml:math id="M297" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">%</mml:mi></mml:mrow></mml:math></inline-formula>–59 <inline-formula><mml:math id="M298" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">%</mml:mi></mml:mrow></mml:math></inline-formula> in soils of the mafic and felsic region, respectively, SOC did not correlate positively with clay content in either region. In fact, a slight but significant negative correlation of SOC and clay was observed in the mafic region (<inline-formula><mml:math id="M299" display="inline"><mml:mrow><mml:msup><mml:mi>R</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msup><mml:mo>=</mml:mo><mml:mn mathvariant="normal">0.18</mml:mn></mml:mrow></mml:math></inline-formula>, <inline-formula><mml:math id="M300" display="inline"><mml:mrow><mml:mi>p</mml:mi><mml:mo>&lt;</mml:mo><mml:mn mathvariant="normal">0.01</mml:mn></mml:mrow></mml:math></inline-formula>; Fig. <xref ref-type="fig" rid="F7"/>).</p>

      <fig id="F7" specific-use="star"><label>Figure 7</label><caption><p id="d2e4816">Soil organic carbon (SOC) vs. ECEC, pyrophosphate and oxalate extractable aluminum (Al<sub>PyOx</sub>) and iron (Fe<sub>PyOx</sub>), as well as clay content along the chronosequence of deforestation in topsoils (0–10 <inline-formula><mml:math id="M303" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">cm</mml:mi></mml:mrow></mml:math></inline-formula>) developed on mafic and felsic parent material. Linear regression lines, <inline-formula><mml:math id="M304" display="inline"><mml:mrow><mml:msup><mml:mi>R</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula>, and <inline-formula><mml:math id="M305" display="inline"><mml:mi>p</mml:mi></mml:math></inline-formula>-values are indicated where <inline-formula><mml:math id="M306" display="inline"><mml:mrow><mml:mi>p</mml:mi><mml:mo>&lt;</mml:mo><mml:mn mathvariant="normal">0.05</mml:mn></mml:mrow></mml:math></inline-formula>.</p></caption>
          <graphic xlink:href="https://bg.copernicus.org/articles/23/3907/2026/bg-23-3907-2026-f07.png"/>

        </fig>

</sec>
</sec>
<sec id="Ch1.S4">
  <label>4</label><title>Discussion</title>
<sec id="Ch1.S4.SS1">
  <label>4.1</label><title>Parent material and volcanic ash determine SOC loss after deforestation</title>
      <p id="d2e4898">A strong decrease of SOC content was observed along the deforestation chronosequence in the mafic region (Fig. <xref ref-type="fig" rid="F2"/>), which we attribute to post-deforestation erosion. It is widely accepted that deforestation causes severe losses of tropical SOC <xref ref-type="bibr" rid="bib1.bibx30 bib1.bibx160 bib1.bibx154 bib1.bibx60 bib1.bibx106" id="paren.68"><named-content content-type="pre">e.g.,</named-content></xref>. Particularly fast loss of SOC following forest conversion to cropland has been shown for a wide variety of tropical agroecosystems <xref ref-type="bibr" rid="bib1.bibx111 bib1.bibx34 bib1.bibx29 bib1.bibx155" id="paren.69"/>. However, these studies generally investigated geomorphologically more stable landforms (i.e. flat topography). Interestingly, our study in geomorphologically active and quickly eroding landscapes also shows that most SOC loss occurs within the first years after conversion (Figs. <xref ref-type="fig" rid="F2"/>, <xref ref-type="fig" rid="F4"/>, <xref ref-type="fig" rid="FD4"/>), contradicting our first hypothesis where we expected more continuous losses of SOC over time after deforestation. Due to high erosion rates in the sloping landscapes of the study region, the relative change of SOC content is high compared to stable landforms, particularly for the mafic region (up to <inline-formula><mml:math id="M307" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>69 <inline-formula><mml:math id="M308" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">%</mml:mi></mml:mrow></mml:math></inline-formula>, Fig. <xref ref-type="fig" rid="FD4"/>).</p>
      <p id="d2e4935">In the felsic region, soil fertility and volcanic activity exerted a stronger influence on SOC content than land cover. No clear effect of deforestation on SOC was observed: forest soils were found to have lower SOC content than the cropland sites converted 2–7 years ago (Figs. <xref ref-type="fig" rid="F2"/>, <xref ref-type="fig" rid="FD4"/>). This pattern likely reflects inherent pedogenic differences between land-use types rather than land-use change itself <xref ref-type="bibr" rid="bib1.bibx38 bib1.bibx39" id="paren.70"/>. Based on local observations, we hypothesize that croplands were historically established on more fertile soils, while forests were selectively left intact on less fertile soils. Although modern deforestation is less selective, this land-use bias remains difficult to decouple in such regional studies. Furthermore, the fact that soils in the felsic regions have developed on similar silica rich parent material, but experienced an uneven mineral replenishment from volcanic material has decoupled soil properties from the underlying lithology developed solely from the features of the parent material. This heterogeneous volcanic influence likely drives the observed geochemical variation among the sites. These findings suggest that soils with high fertility due to volcanic inputs can sustain longer and more productive farming and thus impede land abandonment. Lastly, there is no indication that the differences that we see consistently along the degradation gradient are overprinted by the climatic variability within each region (likely due to a small climate variability within each local gradient).</p>
</sec>
<sec id="Ch1.S4.SS2">
  <label>4.2</label><title>Metals, and not clay, are the key drivers of SOC contents</title>
      <p id="d2e4953">Our results highlight the distinct C stabilization mechanisms on weathered soils of the humid tropics, which are an understudied region <xref ref-type="bibr" rid="bib1.bibx151" id="paren.71"/>. In contrast to many regions of the world <xref ref-type="bibr" rid="bib1.bibx2 bib1.bibx120 bib1.bibx133 bib1.bibx134" id="paren.72"/> clay and SOC content were not significantly correlated in either of the two geochemical regions (Fig. <xref ref-type="fig" rid="F7"/>). The lack of this relationship may be caused by the fact that old and deeply weathered soils of the humid tropics are dominated by clay-sized minerals with low reactive surface areas. Such clays form fewer organo-mineral associations and aggregates <xref ref-type="bibr" rid="bib1.bibx132" id="paren.73"/>, which could provide protection against microbial predation of SOC <xref ref-type="bibr" rid="bib1.bibx75" id="paren.74"/>. Negative or missing relationships between SOC contents and clay have also been observed in other parts of the tropics <xref ref-type="bibr" rid="bib1.bibx3 bib1.bibx21 bib1.bibx35 bib1.bibx57" id="paren.75"/>. Despite these results, clay is still often used as a universal predictor for SOC in many large-scale studies. This assumption undoubtedly leads to erroneous assumptions regarding the SOC stabilization potential of tropical soils <xref ref-type="bibr" rid="bib1.bibx24 bib1.bibx163 bib1.bibx22 bib1.bibx126" id="paren.76"><named-content content-type="pre">e.g.,</named-content></xref>.</p>
      <p id="d2e4979">Particularly in the mafic region, our study emphasizes the importance of reactive metal phases in understanding SOC turnover and stability, as also highlighted by <xref ref-type="bibr" rid="bib1.bibx166" id="text.77"/> and <xref ref-type="bibr" rid="bib1.bibx124" id="text.78"/> (Fig. <xref ref-type="fig" rid="F7"/>). Sesquioxides can form resistant <xref ref-type="bibr" rid="bib1.bibx36 bib1.bibx51 bib1.bibx73" id="paren.79"><named-content content-type="pre">e.g.,</named-content></xref> and old <xref ref-type="bibr" rid="bib1.bibx62 bib1.bibx102 bib1.bibx138 bib1.bibx144" id="paren.80"/> mineral-associated organic matter. The limited C sorption suggests that fresh C is minimally stabilized via new surfacing minerals (concept of the geomorphic pump; <xref ref-type="bibr" rid="bib1.bibx136" id="altparen.81"/>). Several meters of weathered subsoil need to erode before less weathered minerals appear closer to the surface. However, our observations indicate that the thick subsoil layers have not fully been eroded (e.g. depths of 5–8 m, Figs. <xref ref-type="fig" rid="FD7"/>, <xref ref-type="fig" rid="FD8"/>), and thus the weathering front has not yet reached the more nutrient-rich parent material. On one hand, fresh plant input to soil is scarce (mainly roots and root exudates) since most of the above-ground crop material in tropical African subsistence farms is harvested <xref ref-type="bibr" rid="bib1.bibx42 bib1.bibx48" id="paren.82"/>. On the other hand, fresh plant input that does end up being incorporated into the soil might be rather labile and decompose quickly. However, this is important as the apparent C saturation due to comparatively unreactive sesquioxides, combined with the strong (metal-related) stabilization of old SOC, likely explains the low SOC content of cropland and abandoned sites in the mafic region, which were cleared <inline-formula><mml:math id="M309" display="inline"><mml:mrow><mml:mo>&gt;</mml:mo><mml:mn mathvariant="normal">60</mml:mn></mml:mrow></mml:math></inline-formula> years ago (<inline-formula><mml:math id="M310" display="inline"><mml:mo lspace="0mm">∼</mml:mo></mml:math></inline-formula> 19 <inline-formula><mml:math id="M311" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">g</mml:mi><mml:mspace width="0.125em" linebreak="nobreak"/><mml:msup><mml:mi mathvariant="normal">kg</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula>, Fig. <xref ref-type="fig" rid="F2"/>).</p>
      <p id="d2e5046">In the felsic region, the lack of reactive Al and Fe seemed to limit SOC stabilization, as we did not observe correlations between reactive metals and SOC (Fig. <xref ref-type="fig" rid="F7"/>). In this geochemical region reactive Al and Fe content that can support organo-mineral complexation over long timescales <xref ref-type="bibr" rid="bib1.bibx67 bib1.bibx75 bib1.bibx86" id="paren.83"/> were substantially lower than in the mafic region. Comparatively young SOC ages in croplands of the felsic region (Fig. <xref ref-type="fig" rid="F3"/>) and the connection to key fertility indicators such as ECEC (Fig. <xref ref-type="fig" rid="F7"/>) highlight the importance of fresh C inputs to avoid degradation and the subsequent decrease in crop yields. This suggests that with a higher soil fertility and crop productivity than in the mafic region, more fresh C enters the SOC pool, despite a comparatively lower SOC stabilization potential. This interpretation is supported by findings in other tropical regions that show the residence time of organic C in soils is short when reactive minerals to stabilize C are lacking <xref ref-type="bibr" rid="bib1.bibx113 bib1.bibx126" id="paren.84"/>. More research is needed to better understand SOC stabilization mechanisms in the felsic region, for example by exploring how the region’s internal presence or absence of volcanic ashes (determined via x-ray fluorescence) or soil pH might impact SOC <xref ref-type="bibr" rid="bib1.bibx155" id="paren.85"/>. Our second hypothesis (greater SOC stabilization in the mafic region due to higher contents of clay and reactive metals) can be rejected. Instead, the higher fertility levels in the felsic region likely lead to increased fresh organic matter input, resulting in higher SOC content. In contrast, the reactive surfaces in the mafic region are limited.</p>
</sec>
<sec id="Ch1.S4.SS3">
  <label>4.3</label><title>Estimated soil loss rates and the lifespan of cropped hillslopes in the mafic region</title>
      <p id="d2e5073">Our estimated soil loss rates, combined with their alignment with other studies, indicate minimal replacement of eroded SOC on cropland, <italic>Eucalyptus</italic>, and abandoned hillslope topsoils. Our <italic>FMC</italic> data confirm the low organic matter input into the SOC pool and highlight that cleared sites generally represent a deeper section of the same initial forest soil profile (see Fig. <xref ref-type="fig" rid="FD1"/>). Interestingly, our calculated soil loss rates of <inline-formula><mml:math id="M312" display="inline"><mml:mrow><mml:mn mathvariant="normal">0.41</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">0.13</mml:mn></mml:mrow></mml:math></inline-formula> <inline-formula><mml:math id="M313" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">cm</mml:mi><mml:mspace linebreak="nobreak" width="0.125em"/><mml:msup><mml:mi mathvariant="normal">yr</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula>, which include the combined effect of land conversion and erosion, corresponds well with previous measurements of erosion rates of 0.3–0.7 <inline-formula><mml:math id="M314" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">cm</mml:mi></mml:mrow></mml:math></inline-formula> per season (sum of reported rill and gully erosion; approx.: 0.6–1.1 <inline-formula><mml:math id="M315" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">cm</mml:mi><mml:mspace width="0.125em" linebreak="nobreak"/><mml:msup><mml:mi mathvariant="normal">yr</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula>) on croplands in South Kivu by <xref ref-type="bibr" rid="bib1.bibx57" id="text.86"/>. Using <sup>239+240</sup>Pu fallout radionuclides, <xref ref-type="bibr" rid="bib1.bibx164" id="text.87"/> estimated similar erosion rates of 0.4 <inline-formula><mml:math id="M317" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">cm</mml:mi><mml:mspace linebreak="nobreak" width="0.125em"/><mml:msup><mml:mi mathvariant="normal">yr</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula> in two catchments in South Kivu (51.4 <inline-formula><mml:math id="M318" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">t</mml:mi><mml:mspace linebreak="nobreak" width="0.125em"/><mml:msup><mml:mi mathvariant="normal">ha</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup><mml:mspace linebreak="nobreak" width="0.125em"/><mml:msup><mml:mi mathvariant="normal">yr</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula>; assuming a bulk density of 1.25 <inline-formula><mml:math id="M319" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">g</mml:mi><mml:mspace linebreak="nobreak" width="0.125em"/><mml:msup><mml:mi mathvariant="normal">cm</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">3</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula>). Modeled erosion rates and estimates using remote sensing for the region were within the same range but more variable (30 <inline-formula><mml:math id="M320" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">t</mml:mi><mml:mspace width="0.125em" linebreak="nobreak"/><mml:msup><mml:mi mathvariant="normal">ha</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup><mml:mspace linebreak="nobreak" width="0.125em"/><mml:msup><mml:mi mathvariant="normal">yr</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula> <xref ref-type="bibr" rid="bib1.bibx70" id="paren.88"/>, 138 <inline-formula><mml:math id="M321" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">t</mml:mi><mml:mspace linebreak="nobreak" width="0.125em"/><mml:msup><mml:mi mathvariant="normal">ha</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup><mml:mspace linebreak="nobreak" width="0.125em"/><mml:msup><mml:mi mathvariant="normal">yr</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula> <xref ref-type="bibr" rid="bib1.bibx78" id="paren.89"/>). Moreover, we found the presence of substantial colluvial deposits in the valleys of this region, with depths reaching up to 3 meters (work unpublished). These deposits further corroborate the extreme soil loss observed on the sampled hillslopes.</p>
      <p id="d2e5278">The soil loss rates and conversion ages reveal rapid degradation and abandonment of croplands on hillslopes, thereby underscoring the urgent need for sustainable farming. Interestingly, <xref ref-type="bibr" rid="bib1.bibx41" id="text.90"/> estimated that soil from an average depth of 0.5 <inline-formula><mml:math id="M322" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">m</mml:mi></mml:mrow></mml:math></inline-formula> was eroded and mobilized into the rivers in fully deforested catchments in the same region, which would indicate a conversion age of approximately 122 years (given our average erosion rate of 0.41 <inline-formula><mml:math id="M323" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">cm</mml:mi><mml:mspace width="0.125em" linebreak="nobreak"/><mml:msup><mml:mi mathvariant="normal">yr</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula>). Overall, these estimated conversion ages correspond well with the reported history of the region, which was characterized by scattered settlements and kingdoms until the end of the 19th century and intensified deforestation with colonization in the beginning of 1900 <xref ref-type="bibr" rid="bib1.bibx101 bib1.bibx108" id="paren.91"/>. Ultimately, if hillslopes are abandoned after approximately <inline-formula><mml:math id="M324" display="inline"><mml:mrow><mml:mn mathvariant="normal">145</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">56</mml:mn></mml:mrow></mml:math></inline-formula> years, as our data indicate, then the region will face extreme challenges in the near future. A large proportion of the hillslopes around Bukavu were cleared in the early 20th century. These hillslopes thus already exceed the 100 years lifespan, leaving only a few decades left for farming if no measures are taken to preserve soil fertility and introduce more sustainable and conservation farming approaches. Unfortunately, these timespans are probably conservative, because population densities in the region rapidly increase <xref ref-type="bibr" rid="bib1.bibx165" id="paren.92"/>. Furthermore, in the three territories of our study area (Walungu, Kabare and Kalehe), about 70 <inline-formula><mml:math id="M325" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">%</mml:mi></mml:mrow></mml:math></inline-formula> of the agricultural land has inclinations of <inline-formula><mml:math id="M326" display="inline"><mml:mo>&gt;</mml:mo></mml:math></inline-formula>10 <inline-formula><mml:math id="M327" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">°</mml:mi></mml:mrow></mml:math></inline-formula> (own analyses, Fig. <xref ref-type="fig" rid="FD9"/>; sources: SRTM 30 <inline-formula><mml:math id="M328" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">m</mml:mi></mml:mrow></mml:math></inline-formula> and ESA-CCI S2 prototype Land Cover 20 <inline-formula><mml:math id="M329" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">m</mml:mi></mml:mrow></mml:math></inline-formula> map of Africa 2016).</p>
      <p id="d2e5370">Unfortunately, assessing SOC and soil loss in the felsic region proved challenging due to high and inherent system complexity and heterogeneity. Nonetheless, regional modeling suggests erosion rates comparable to those observed in the mafic region <xref ref-type="bibr" rid="bib1.bibx71 bib1.bibx78" id="paren.93"/>. This is supported by field trials reporting seasonal soil losses of up to 25 <inline-formula><mml:math id="M330" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">t</mml:mi><mml:mspace width="0.125em" linebreak="nobreak"/><mml:msup><mml:mi mathvariant="normal">ha</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula>, matching the magnitudes measured at our mafic sites <xref ref-type="bibr" rid="bib1.bibx159" id="paren.94"/>. Sustained erosion at these levels poses a critical threat to soil fertility and long-term agricultural productivity.</p>
</sec>
<sec id="Ch1.S4.SS4">
  <label>4.4</label><title>Land abandonment is driven by nutrient limitations and Al toxicity</title>
      <p id="d2e5404">Low fertility, high soil acidity, and Al toxicity likely cause land abandonment of croplands in the mafic region. The low values of key fertility indicators in abandoned hillslope topsoils of the mafic region (ECEC, TN, and bioavailable-P<inline-formula><mml:math id="M331" display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula>P<sub>resin</sub>, Fig. <xref ref-type="fig" rid="F5"/>) indicate that sustainable management needs to address a multitude of elements to avoid land abandonment. Also, imbalanced nutrient stoichiometries such as low <inline-formula><mml:math id="M333" display="inline"><mml:mrow class="chem"><mml:msub><mml:mi mathvariant="normal">P</mml:mi><mml:mi mathvariant="normal">resin</mml:mi></mml:msub><mml:mo>:</mml:mo><mml:mi mathvariant="normal">TN</mml:mi></mml:mrow></mml:math></inline-formula> ratios (Fig. <xref ref-type="fig" rid="FD6"/>) might negatively influence plant growth and microbial functions causing further unfavorable conditions for biological processes <xref ref-type="bibr" rid="bib1.bibx12 bib1.bibx15" id="paren.95"/>. Moreover, low Ca:Al ratios are unfavorable for plants <xref ref-type="bibr" rid="bib1.bibx54" id="paren.96"/>, which is likely the case in soils of the mafic region in our study. In parallel, our data suggests that land abandonment may be driven by increasing soil acidity and Al toxicity, even if other fertility indicators such as SOC and TN remain favorable. As pH decreases towards values <inline-formula><mml:math id="M334" display="inline"><mml:mrow><mml:mo>&lt;</mml:mo><mml:mn mathvariant="normal">4</mml:mn></mml:mrow></mml:math></inline-formula>, a large proportion of Al is mobilized into soil solution as Al<sup>3+</sup> <xref ref-type="bibr" rid="bib1.bibx135" id="paren.97"/>, where it can be taken up and cause toxic conditions for crops <xref ref-type="bibr" rid="bib1.bibx130" id="paren.98"/>. From informal conversations with farmers and our later soil data analyses, we learned that slopes with such low pH and high Al<sup>3+</sup> were no longer used for cropping due to the low performance of crops, and instead abandoned or used for <italic>Eucalyptus</italic> monocultures.</p>
      <p id="d2e5493">Geochemical soil properties in both regions (Figs. <xref ref-type="fig" rid="F5"/>, <xref ref-type="fig" rid="F6"/>) indicate that volcanic inputs slowed soil degradation in the felsic region, highlighting the role of geochemical differences in maintaining soil fertility. Mid-Holocene carbonate volcanism appears to prevent land abandonment due to the maintenance of acceptable pH values and soil fertility levels <xref ref-type="bibr" rid="bib1.bibx5 bib1.bibx7" id="paren.99"/>. This supports our third hypothesis that differences in the timescale of land abandonment are to be expected due to geochemically contrasting fertility conditions in soils derived from different parent material and varying levels of volcanic ashes. However, high erosion rates in the felsic region under current agricultural practices <xref ref-type="bibr" rid="bib1.bibx71 bib1.bibx78 bib1.bibx159" id="paren.100"/> will likely still cause land abandonment in the near future on steep slopes due to a complete loss of the fertile, volcanic-ash enriched layers.</p>
</sec>
<sec id="Ch1.S4.SS5">
  <label>4.5</label><title><italic>Eucalyptus</italic> monocultures cause nutrient depletion and only minor increase in SOC</title>
      <p id="d2e5518">In the mafic region, our data suggest that the planting of <italic>Eucalyptus</italic> can restore SOC content to a level of croplands cleared 40–60 years ago (Fig. <xref ref-type="fig" rid="F2"/>), therefore recuperating only a small portion of SOC losses in topsoil caused by the initial deforestation and erosion. A similar increase of SOC under <italic>Eucalyptus</italic> has also been shown by <xref ref-type="bibr" rid="bib1.bibx98" id="text.101"/>, <xref ref-type="bibr" rid="bib1.bibx169" id="text.102"/>, and <xref ref-type="bibr" rid="bib1.bibx40" id="text.103"/>, however, others have observed no effect or even a decrease of SOC in <italic>Eucalyptus</italic> plantations <xref ref-type="bibr" rid="bib1.bibx25 bib1.bibx44 bib1.bibx53 bib1.bibx92" id="paren.104"/>. Our results support this variation in effect since recovered SOC content under <italic>Eucalyptus</italic> monocultures was highly variable. Thus, our fourth hypothesis (<italic>Eucalyptus</italic> monocultures improving SOC stocks) was partially confirmed, however not to the degree of full SOC recovery. For the felsic region, we could not investigate the effect of <italic>Eucalyptus</italic> due to the small sample size.</p>
      <p id="d2e5554">While <italic>Eucalyptus</italic> plantations can thrive on degraded soils, our results suggest that they may also reduce soil fertility by lowering pH and increasing Al<sup>3+</sup> toxicity. The tolerance of <italic>Eucalyptus</italic> to heavily degraded soils has been reported for many tropical systems <xref ref-type="bibr" rid="bib1.bibx17 bib1.bibx77 bib1.bibx80 bib1.bibx90 bib1.bibx92" id="paren.105"><named-content content-type="pre">e.g.,</named-content></xref>. Subsistence farmers in South Kivu often plant <italic>Eucalyptus</italic> on hillslopes to generate viable income via charcoal or timber production once crops no longer provide reasonable yields on degraded land <xref ref-type="bibr" rid="bib1.bibx19" id="paren.106"/>. However, the monoculture plantations of these non-native trees can have strong negative effects on soil fertility proxies. First, in the mafic region, soil pH<sub>CaCl<sub>2</sub></sub> drastically decreased under <italic>Eucalyptus</italic> and thus reduced ECEC to very low levels (Fig. <xref ref-type="fig" rid="F5"/>). Due to the fact that <italic>Eucalyptus</italic> topsoil pH<sub>CaCl<sub>2</sub></sub> and ECEC were lower than even those of abandoned hillslopes (Figs. <xref ref-type="fig" rid="F5"/>, <xref ref-type="fig" rid="FD2"/>), we argue that <italic>Eucalyptus</italic> plantations caused the additional acidification. Indeed, such a lowering of pH and ECEC by <italic>Eucalyptus</italic> has been shown before <xref ref-type="bibr" rid="bib1.bibx69 bib1.bibx80 bib1.bibx81" id="paren.107"/>. Second, Al<sup>3+</sup> saturation of the soil solution, which was on average 53 <inline-formula><mml:math id="M341" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">%</mml:mi></mml:mrow></mml:math></inline-formula> across the <italic>Eucalyptus</italic> plantations (exchangeable Al<sup>3+</sup> relatively to the ECEC; results not shown), was extremely high and toxic for most crops <xref ref-type="bibr" rid="bib1.bibx130" id="paren.108"/>.</p>
      <p id="d2e5674">In the felsic region, negative effects of <italic>Eucalyptus</italic> on soil fertility have not been found <xref ref-type="bibr" rid="bib1.bibx94" id="paren.109"/>, but our data suggest that soils under such plantations may eventually exhibit similar detrimental impacts as seen in the mafic region. However, our sample size for <italic>Eucalyptus</italic> sites in the felsic region is small for clear interpretations. Moreover, the majority of these sites were only recently cleared and likely installed on relatively fertile soil to support the local tea industry rather than as an alternative post-cropping land use. It therefore might take more time for soils of the felsic region under <italic>Eucalyptus</italic> to exhibit the same negative effects on pH and ECEC as in the mafic region. There is no evidence that suggests that plantations in the felsic region will show different fertility endpoints than described for the mafic region and elsewhere <xref ref-type="bibr" rid="bib1.bibx45" id="paren.110"/>. The problem of soil degradation through <italic>Eucalyptus</italic> will further be exacerbated with planned expansions of <italic>Eucalyptus</italic> plantations <xref ref-type="bibr" rid="bib1.bibx89 bib1.bibx87" id="paren.111"/>. The lack of knowledge about precise plantation installation and harvest frequency adds limitations to our understanding of short and long-term effects of <italic>Eucalyptus</italic> plantations and urgently calls for more research. We conclude that the negative effects of <italic>Eucalyptus</italic> on soil fertility relativize partial improvements of SOC stocks that we observed which falsifies our fourth hypothesis (<italic>Eucalyptus</italic> monocultures improving soil fertility due to erosion control).</p>
</sec>
</sec>
<sec id="Ch1.S5" sec-type="conclusions">
  <label>5</label><title>Conclusions</title>
      <p id="d2e5721">We observed a rapid decrease of SOC, nitrogen, and bioavailable phosphorus in the mafic region after deforestation. In mafic soils, SOC content was strongly correlated to mineral C stabilization through reactive metal phases but showed little capacity to stabilize new C inputs or connection to soil fertility. In felsic soils, no clear effect on SOC content and soil fertility proxies was observed with increasing time since deforestation. In this geochemical region, SOC content was tied to soil fertility, indicating that rock-derived cations and unevenly distributed external inputs such as volcanic ashes were driving C inputs and SOC. Importantly, our results also emphasize that clay is not a reliable indicator for SOC content since our deeply weathered soils – which are typical for large parts of the tropics – were dominated by low-activity clays with low reactive surface areas and thus limited potential to stabilize SOC. Similarly, our study shows that SOC alone is not always a reliable indicator of soil fertility. For this reason, we propose that a broader definition of soil fertility, that includes ECEC, is used when discussing highly weathered soils of the humid tropics. Land degradation and subsequent abandonment in the mafic region did not seem to be related to SOC content, but rather to nutrient limitations and Al mobility, which probably cause toxic conditions for plant growth. Importantly, replanting abandoned fields with <italic>Eucalyptus</italic> monocultures did not lead to a substantial restoration of soil C stocks but instead led to further depletion of critical soil nutrients. This finding undermines the idea of reforesting with non-native tree species in order to generate a significant C sink in degraded, deeply weathered soils. The average estimated erosion rates of 0.41 <inline-formula><mml:math id="M343" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">cm</mml:mi><mml:mspace width="0.125em" linebreak="nobreak"/><mml:msup><mml:mi mathvariant="normal">yr</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula> resulted in a life span of croplands until field abandonment on sloping land in the region of <inline-formula><mml:math id="M344" display="inline"><mml:mrow><mml:mn mathvariant="normal">145</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">56</mml:mn></mml:mrow></mml:math></inline-formula> years after deforestation. Considering that most of the croplands in the region were cleared in the early 20th century, a period of further land abandonment threatening remaining forests is likely in upcoming years if agricultural practices remain as they are today. Our results give clear evidence of the severity of soil erosion in the region, which might cause threats for food security of a growing population in coming decades. More sustainable management and investments in supporting subsistence farmers to both maintain fertile <italic>kalongo</italic> soil and improve <italic>civu</italic> soils are needed. Such soil management is crucial to avoid future crises across our study area and similar regions in tropical Eastern Africa.</p>
</sec>

      
      </body>
    <back><app-group>

<app id="App1.Ch1.S1">
  <label>Appendix A</label><title>Soil infrared spectroscopy for complementing conventional soil analyses</title>
<sec id="App1.Ch1.S1.SS1">
  <label>A1</label><title>Data acquisition and spectra processing</title>
      <p id="d2e5781">The pulverized samples were measured in duplicates on a VERTEX70 infrared spectrometer with a high-throughput screening extension (HTS-XT) (Bruker Optics GmbH, Germany). Instrument settings and sample handling followed the procedures described in <xref ref-type="bibr" rid="bib1.bibx142" id="text.112"/> used to develop the Central African Soil Spectral Library (CSSL). Each sample was measured with a resolution of 2 <inline-formula><mml:math id="M345" display="inline"><mml:mrow class="unit"><mml:msup><mml:mi mathvariant="normal">cm</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula> between 7500–600 <inline-formula><mml:math id="M346" display="inline"><mml:mrow class="unit"><mml:msup><mml:mi mathvariant="normal">cm</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula> wavenumber range. A gold reference material was used as a reflectance standard. The final spectrum of each soil sample was obtained by averaging 32 co-added scans and adjusting for atmospheric <inline-formula><mml:math id="M347" display="inline"><mml:mrow class="chem"><mml:msub><mml:mi mathvariant="normal">CO</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula> and <inline-formula><mml:math id="M348" display="inline"><mml:mrow class="chem"><mml:msub><mml:mi mathvariant="normal">H</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msub><mml:mi mathvariant="normal">O</mml:mi></mml:mrow></mml:math></inline-formula> using the OPUS software (BRUKER Optics GmbH, Germany). The measurement duplicates of each sample were averaged to obtain one single spectrum per sample. The spectra were trimmed to exclusively include the infrared region ranging from 4000 to 600 <inline-formula><mml:math id="M349" display="inline"><mml:mrow class="unit"><mml:msup><mml:mi mathvariant="normal">cm</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula>, thereby discarding the near-infrared region, and were resampled at a resolution of 16 <inline-formula><mml:math id="M350" display="inline"><mml:mrow class="unit"><mml:msup><mml:mi mathvariant="normal">cm</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula>.</p>
</sec>
<sec id="App1.Ch1.S1.SS2">
  <label>A2</label><title>Selection of calibration samples</title>
      <p id="d2e5876">We developed quantitative infrared models to estimate soil properties. We used calibration samples from two existing soil spectral libraries, specifically the Central African Soil Spectral Library (CSSL, <xref ref-type="bibr" rid="bib1.bibx142" id="altparen.113"/>, <inline-formula><mml:math id="M351" display="inline"><mml:mrow><mml:mi>n</mml:mi><mml:mo>=</mml:mo><mml:mn mathvariant="normal">79</mml:mn></mml:mrow></mml:math></inline-formula>–1685) and the African Soil Information Service Soil Spectral Library (AfSIS SSL, <xref ref-type="bibr" rid="bib1.bibx149 bib1.bibx150" id="altparen.114"/>, <inline-formula><mml:math id="M352" display="inline"><mml:mrow><mml:mi>n</mml:mi><mml:mo>=</mml:mo><mml:mn mathvariant="normal">3397</mml:mn></mml:mrow></mml:math></inline-formula>; Table <xref ref-type="table" rid="TA1"/>). To ensure that the resulting calibration dataset is comprehensive enough to cover the soil variability of all newly collected samples, a subset of these two new sample sets (present study and colluvial study) were measured with traditional wet chemistry methods (see section below) added to the calibration set (<inline-formula><mml:math id="M353" display="inline"><mml:mrow><mml:mi>n</mml:mi><mml:mo>=</mml:mo><mml:mn mathvariant="normal">234</mml:mn></mml:mrow></mml:math></inline-formula>–429; Table <xref ref-type="table" rid="TA1"/>).</p>
      <p id="d2e5926">These additional calibration samples were selected using the Kennard-Stone sampling algorithm <xref ref-type="bibr" rid="bib1.bibx72" id="paren.115"/> on the principal component space of the soil infrared spectra. Samples that were similar to the ones already in the spectral libraries (CSSL and AfSIS SSL) were avoided during sampling (this was achieved using the “init” argument within the kenStone function in the <monospace>prospectr</monospace> package of the R programming environment; see Stevens and Ramirez-Lopez (2024) for more details). Additionally, to allow a robust validation and avoid overfitting during model training, we grouped the calibration sampling by soil core to have either all samples of a core in the calibration or prediction set. The combination of all calibration data (CSSL, AfSIS SSL and new measurements) will later be called the calibration set.</p>
</sec>
<sec id="App1.Ch1.S1.SS3">
  <label>A3</label><title>Calibration modeling</title>
      <p id="d2e5944">Memory-based learning was used for calibration modeling. For this, the <italic>k</italic>-nearest neighbors search is used to subset the relevant samples to train the localized weighted average partial least squares regression model (see <xref ref-type="bibr" rid="bib1.bibx142" id="text.116"/>, and <xref ref-type="bibr" rid="bib1.bibx123" id="text.117"/> for more details). The maximum number of neighbors was set to 500, or if fewer samples were available, to the maximum number of available observations in the reference dataset (combined library and new paired infrared data with paired wet chemistry data). For the search of the nearest neighbors, we used the moving window correlation dissimilarity <xref ref-type="bibr" rid="bib1.bibx123" id="paren.118"/>. Model validation was done using a grouped cross-validation, where we used soil cores from the same region in Eastern Africa from the CSSL and the new analyzed reference cores (<inline-formula><mml:math id="M354" display="inline"><mml:mrow><mml:msub><mml:mi>n</mml:mi><mml:mi mathvariant="normal">cores</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula>, Table <xref ref-type="table" rid="TA1"/>) as hold-out cores. We predicted each of the cores iteratively by keeping it out of the model training. <inline-formula><mml:math id="M355" display="inline"><mml:mrow><mml:msup><mml:mi>R</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula>, Root mean square error (RMSE), performance to the interquartile distance (Interquartile range <inline-formula><mml:math id="M356" display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> RMSE; RPIQ), and the mean error (bias) were calculated from all cross-validated hold-out predictions to give estimates of predictive accuracy. The final model was trained using MBL and all available calibration data (see Table <xref ref-type="table" rid="TA1"/> and section below).</p>
      <p id="d2e5993">To obtain clay, silt, and sand as fractions from a total of 100 <inline-formula><mml:math id="M357" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">%</mml:mi></mml:mrow></mml:math></inline-formula> we followed the additive log-ratio transformation <xref ref-type="bibr" rid="bib1.bibx112" id="paren.119"/>. The data were back-transformed prior calculations of modeling performance statistics (for more details, see also <xref ref-type="bibr" rid="bib1.bibx122" id="altparen.120"/>). Pre-processing was optimized by minimizing the reconstruction error of the prediction set calculated by projection models built by the extended infrared libraries, see <xref ref-type="bibr" rid="bib1.bibx142" id="text.121"/> for more details. The final selected pre-processing is listed in Table <xref ref-type="table" rid="TA1"/>.</p>

<table-wrap id="TA1"><label>Table A1</label><caption><p id="d2e6019">Soil properties, preprocessing of mid-infrared data prior to calibration modeling, number of available samples in existing libraries (<inline-formula><mml:math id="M358" display="inline"><mml:mrow><mml:msub><mml:mi>n</mml:mi><mml:mi mathvariant="normal">CSSL</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula>, <inline-formula><mml:math id="M359" display="inline"><mml:mrow><mml:msub><mml:mi>n</mml:mi><mml:mi mathvariant="normal">AfSIS</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula>), and new paired mid-infrared with reference data (<inline-formula><mml:math id="M360" display="inline"><mml:mrow><mml:msub><mml:mi>n</mml:mi><mml:mi mathvariant="normal">new</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula>), and validation statistics of a grouped cross-validation (number of hold-out cores (<inline-formula><mml:math id="M361" display="inline"><mml:mrow><mml:msub><mml:mi>n</mml:mi><mml:mi mathvariant="normal">cores</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula>), <inline-formula><mml:math id="M362" display="inline"><mml:mrow><mml:msup><mml:mi>R</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula>, Root Means Square Error (RMSE), performance to the interquartile distance (RPIQ), mean error/bias). Preprocessing details: sg(<inline-formula><mml:math id="M363" display="inline"><mml:mi>m</mml:mi></mml:math></inline-formula>, <inline-formula><mml:math id="M364" display="inline"><mml:mi>p</mml:mi></mml:math></inline-formula>, <inline-formula><mml:math id="M365" display="inline"><mml:mi>w</mml:mi></mml:math></inline-formula>) <inline-formula><mml:math id="M366" display="inline"><mml:mo>=</mml:mo></mml:math></inline-formula> Savitzky-Golay filter with differentiation order, polynomial order, window size; msc <inline-formula><mml:math id="M367" display="inline"><mml:mo>=</mml:mo></mml:math></inline-formula> multiplicative scatter correction.</p></caption><oasis:table frame="topbot"><oasis:tgroup cols="10">
     <oasis:colspec colnum="1" colname="col1" align="left"/>
     <oasis:colspec colnum="2" colname="col2" align="left" colsep="1"/>
     <oasis:colspec colnum="3" colname="col3" align="right"/>
     <oasis:colspec colnum="4" colname="col4" align="right"/>
     <oasis:colspec colnum="5" colname="col5" align="right" colsep="1"/>
     <oasis:colspec colnum="6" colname="col6" align="right"/>
     <oasis:colspec colnum="7" colname="col7" align="right"/>
     <oasis:colspec colnum="8" colname="col8" align="right"/>
     <oasis:colspec colnum="9" colname="col9" align="right"/>
     <oasis:colspec colnum="10" colname="col10" align="right"/>
     <oasis:thead>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1">Property</oasis:entry>
         <oasis:entry colname="col2">Pre-processing</oasis:entry>
         <oasis:entry colname="col3"><inline-formula><mml:math id="M370" display="inline"><mml:mrow><mml:msub><mml:mi>n</mml:mi><mml:mi mathvariant="normal">CSSL</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col4"><inline-formula><mml:math id="M371" display="inline"><mml:mrow><mml:msub><mml:mi>n</mml:mi><mml:mi mathvariant="normal">AfSIS</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col5"><inline-formula><mml:math id="M372" display="inline"><mml:mrow><mml:msub><mml:mi>n</mml:mi><mml:mi mathvariant="normal">new</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col6">n<sub>samples</sub> / <inline-formula><mml:math id="M373" display="inline"><mml:mrow><mml:msub><mml:mi>n</mml:mi><mml:mi mathvariant="normal">cores</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col7"><inline-formula><mml:math id="M374" display="inline"><mml:mrow><mml:msup><mml:mi>R</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col8">RMSE</oasis:entry>
         <oasis:entry colname="col9">RPIQ</oasis:entry>
         <oasis:entry colname="col10">bias</oasis:entry>
       </oasis:row>
     </oasis:thead>
     <oasis:tbody>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1"/>
         <oasis:entry colname="col2"/>
         <oasis:entry namest="col3" nameend="col5" align="center" colsep="1">reference samples </oasis:entry>
         <oasis:entry namest="col6" nameend="col10" align="center">grouped cross-validation </oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">SOC (<inline-formula><mml:math id="M375" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">g</mml:mi><mml:mspace width="0.125em" linebreak="nobreak"/><mml:msup><mml:mi mathvariant="normal">kg</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula>)</oasis:entry>
         <oasis:entry colname="col2">sg(2,2,17) <inline-formula><mml:math id="M376" display="inline"><mml:mo>+</mml:mo></mml:math></inline-formula> msc</oasis:entry>
         <oasis:entry colname="col3">1669</oasis:entry>
         <oasis:entry colname="col4">3397</oasis:entry>
         <oasis:entry colname="col5">234</oasis:entry>
         <oasis:entry colname="col6">484/92</oasis:entry>
         <oasis:entry colname="col7">0.9</oasis:entry>
         <oasis:entry colname="col8">5.45</oasis:entry>
         <oasis:entry colname="col9">3.6</oasis:entry>
         <oasis:entry colname="col10"><inline-formula><mml:math id="M377" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>0.73</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">TN (<inline-formula><mml:math id="M378" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">g</mml:mi><mml:mspace linebreak="nobreak" width="0.125em"/><mml:msup><mml:mi mathvariant="normal">kg</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula>)</oasis:entry>
         <oasis:entry colname="col2">sg(1,3,9) <inline-formula><mml:math id="M379" display="inline"><mml:mo>+</mml:mo></mml:math></inline-formula> msc</oasis:entry>
         <oasis:entry colname="col3">1685</oasis:entry>
         <oasis:entry colname="col4">3397</oasis:entry>
         <oasis:entry colname="col5">234</oasis:entry>
         <oasis:entry colname="col6">484/92</oasis:entry>
         <oasis:entry colname="col7">0.9</oasis:entry>
         <oasis:entry colname="col8">0.45</oasis:entry>
         <oasis:entry colname="col9">3.44</oasis:entry>
         <oasis:entry colname="col10"><inline-formula><mml:math id="M380" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>0.03</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">pH (–)</oasis:entry>
         <oasis:entry colname="col2">sg(2,2,7) <inline-formula><mml:math id="M381" display="inline"><mml:mo>+</mml:mo></mml:math></inline-formula> msc</oasis:entry>
         <oasis:entry colname="col3">513</oasis:entry>
         <oasis:entry colname="col4">–</oasis:entry>
         <oasis:entry colname="col5">429</oasis:entry>
         <oasis:entry colname="col6">635/150</oasis:entry>
         <oasis:entry colname="col7">0.73</oasis:entry>
         <oasis:entry colname="col8">0.44</oasis:entry>
         <oasis:entry colname="col9">2.86</oasis:entry>
         <oasis:entry colname="col10"><inline-formula><mml:math id="M382" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>0.04</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">ECEC (<inline-formula><mml:math id="M383" display="inline"><mml:mrow class="unit"><mml:msub><mml:mi mathvariant="normal">cmol</mml:mi><mml:mi mathvariant="normal">c</mml:mi></mml:msub><mml:mspace linebreak="nobreak" width="0.125em"/><mml:msup><mml:mi mathvariant="normal">kg</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula>)</oasis:entry>
         <oasis:entry colname="col2">sg(1,3,7) <inline-formula><mml:math id="M384" display="inline"><mml:mo>+</mml:mo></mml:math></inline-formula> msc</oasis:entry>
         <oasis:entry colname="col3">432</oasis:entry>
         <oasis:entry colname="col4">–</oasis:entry>
         <oasis:entry colname="col5">228</oasis:entry>
         <oasis:entry colname="col6">415/ 91</oasis:entry>
         <oasis:entry colname="col7">0.76</oasis:entry>
         <oasis:entry colname="col8">3.14</oasis:entry>
         <oasis:entry colname="col9">2.67</oasis:entry>
         <oasis:entry colname="col10">0.15</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">Sum of bases (<inline-formula><mml:math id="M385" display="inline"><mml:mrow class="unit"><mml:msub><mml:mi mathvariant="normal">cmol</mml:mi><mml:mi mathvariant="normal">c</mml:mi></mml:msub><mml:mspace width="0.125em" linebreak="nobreak"/><mml:msup><mml:mi mathvariant="normal">kg</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula>)</oasis:entry>
         <oasis:entry colname="col2">sg(1,3,7) <inline-formula><mml:math id="M386" display="inline"><mml:mo>+</mml:mo></mml:math></inline-formula> msc</oasis:entry>
         <oasis:entry colname="col3">432</oasis:entry>
         <oasis:entry colname="col4">–</oasis:entry>
         <oasis:entry colname="col5">228</oasis:entry>
         <oasis:entry colname="col6">415/91</oasis:entry>
         <oasis:entry colname="col7">0.8</oasis:entry>
         <oasis:entry colname="col8">3.26</oasis:entry>
         <oasis:entry colname="col9">3.4</oasis:entry>
         <oasis:entry colname="col10">0.37</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">FePyOx (mass%)</oasis:entry>
         <oasis:entry colname="col2">sg(1,3,9) <inline-formula><mml:math id="M387" display="inline"><mml:mo>+</mml:mo></mml:math></inline-formula> msc</oasis:entry>
         <oasis:entry colname="col3">79<sup>a</sup></oasis:entry>
         <oasis:entry colname="col4">–</oasis:entry>
         <oasis:entry colname="col5">–</oasis:entry>
         <oasis:entry colname="col6">79/24</oasis:entry>
         <oasis:entry colname="col7">0.54</oasis:entry>
         <oasis:entry colname="col8">0.62</oasis:entry>
         <oasis:entry colname="col9">2.09</oasis:entry>
         <oasis:entry colname="col10"><inline-formula><mml:math id="M389" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>0.06</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">AlPyOx (mass%)</oasis:entry>
         <oasis:entry colname="col2">sg(2,2,17)</oasis:entry>
         <oasis:entry colname="col3">79<sup>a</sup></oasis:entry>
         <oasis:entry colname="col4">–</oasis:entry>
         <oasis:entry colname="col5">–</oasis:entry>
         <oasis:entry colname="col6">79/24</oasis:entry>
         <oasis:entry colname="col7">0.74</oasis:entry>
         <oasis:entry colname="col8">0.14</oasis:entry>
         <oasis:entry colname="col9">3.15</oasis:entry>
         <oasis:entry colname="col10">0.01</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">AlOx (mass%)</oasis:entry>
         <oasis:entry colname="col2">sg(2,2,17)</oasis:entry>
         <oasis:entry colname="col3">79<sup>a</sup></oasis:entry>
         <oasis:entry colname="col4">–</oasis:entry>
         <oasis:entry colname="col5">–</oasis:entry>
         <oasis:entry colname="col6">79/24</oasis:entry>
         <oasis:entry colname="col7">0.67</oasis:entry>
         <oasis:entry colname="col8">0.11</oasis:entry>
         <oasis:entry colname="col9">2.5</oasis:entry>
         <oasis:entry colname="col10">0</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">Clay <inline-formula><mml:math id="M392" display="inline"><mml:mi mathvariant="italic">&lt;</mml:mi></mml:math></inline-formula> 2 <inline-formula><mml:math id="M393" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">µ</mml:mi><mml:mi mathvariant="normal">m</mml:mi></mml:mrow></mml:math></inline-formula> (%) <sup>b</sup></oasis:entry>
         <oasis:entry colname="col2">sg(2,2,7) <inline-formula><mml:math id="M395" display="inline"><mml:mo>+</mml:mo></mml:math></inline-formula> msc</oasis:entry>
         <oasis:entry colname="col3">234<sup>a</sup></oasis:entry>
         <oasis:entry colname="col4">–</oasis:entry>
         <oasis:entry colname="col5">–</oasis:entry>
         <oasis:entry colname="col6">234/77</oasis:entry>
         <oasis:entry colname="col7">0.86</oasis:entry>
         <oasis:entry colname="col8">6.3</oasis:entry>
         <oasis:entry colname="col9">3.99</oasis:entry>
         <oasis:entry colname="col10"><inline-formula><mml:math id="M397" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>0.47</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">Silt 2–53 <inline-formula><mml:math id="M398" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">µ</mml:mi><mml:mi mathvariant="normal">m</mml:mi></mml:mrow></mml:math></inline-formula> (%) <sup>b</sup></oasis:entry>
         <oasis:entry colname="col2">sg(2,2,7) <inline-formula><mml:math id="M400" display="inline"><mml:mo>+</mml:mo></mml:math></inline-formula> msc</oasis:entry>
         <oasis:entry colname="col3">234<sup>a</sup></oasis:entry>
         <oasis:entry colname="col4">–</oasis:entry>
         <oasis:entry colname="col5">–</oasis:entry>
         <oasis:entry colname="col6">234/77</oasis:entry>
         <oasis:entry colname="col7">0.72</oasis:entry>
         <oasis:entry colname="col8">4.62</oasis:entry>
         <oasis:entry colname="col9">1.85</oasis:entry>
         <oasis:entry colname="col10">0.2</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">Sand 53–2000 <inline-formula><mml:math id="M402" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">µ</mml:mi><mml:mi mathvariant="normal">m</mml:mi></mml:mrow></mml:math></inline-formula> (%) <sup>b</sup></oasis:entry>
         <oasis:entry colname="col2">sg(2,2,7) <inline-formula><mml:math id="M404" display="inline"><mml:mo>+</mml:mo></mml:math></inline-formula> msc</oasis:entry>
         <oasis:entry colname="col3">234<sup>a</sup></oasis:entry>
         <oasis:entry colname="col4">–</oasis:entry>
         <oasis:entry colname="col5">–</oasis:entry>
         <oasis:entry colname="col6">234/77</oasis:entry>
         <oasis:entry colname="col7">0.79</oasis:entry>
         <oasis:entry colname="col8">7.33</oasis:entry>
         <oasis:entry colname="col9">3.35</oasis:entry>
         <oasis:entry colname="col10">0.27</oasis:entry>
       </oasis:row>
     </oasis:tbody>
   </oasis:tgroup></oasis:table><table-wrap-foot><p id="d2e6113"><sup>a</sup> reference data TropSOC database only, <sup>b</sup> back-transformed data.</p></table-wrap-foot></table-wrap>


</sec>
<sec id="App1.Ch1.S1.SS4">
  <label>A4</label><title>Reference analyses</title>
      <p id="d2e6924">To train the calibration models we used the infrared and available wet chemistry data of all infrared libraries (CSSL and AfSIS), and extended the dataset with additional measurements on a subset of our sample set and for the subsequent calibration modeling (see section above; Table <xref ref-type="table" rid="TA1"/>). When laboratory methods differed substantially in their methods, we performed a comparison of the methods on a subset of samples in order to ensure data quality (see Appendix <xref ref-type="sec" rid="App1.Ch1.S2"/>).</p>
      <p id="d2e6931">All our samples were free of carbonates (pH <inline-formula><mml:math id="M406" display="inline"><mml:mo>≤</mml:mo></mml:math></inline-formula> 6.5). Therefore, powdered aliquots were measured for SOC and TN using total (dry) combustion (Variocube, Elementar). SOC stocks (in <inline-formula><mml:math id="M407" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">t</mml:mi><mml:mspace linebreak="nobreak" width="0.125em"/><mml:msup><mml:mi mathvariant="normal">ha</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula>) were calculated by using SOC content (<inline-formula><mml:math id="M408" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">g</mml:mi><mml:mspace linebreak="nobreak" width="0.125em"/><mml:msup><mml:mi mathvariant="normal">kg</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula>) <inline-formula><mml:math id="M409" display="inline"><mml:mo>×</mml:mo></mml:math></inline-formula> bulk density (<inline-formula><mml:math id="M410" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">g</mml:mi><mml:mspace width="0.125em" linebreak="nobreak"/><mml:msup><mml:mi mathvariant="normal">cm</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">3</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula>) <inline-formula><mml:math id="M411" display="inline"><mml:mo>×</mml:mo></mml:math></inline-formula> increment height (<inline-formula><mml:math id="M412" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">cm</mml:mi></mml:mrow></mml:math></inline-formula>) <inline-formula><mml:math id="M413" display="inline"><mml:mo>×</mml:mo></mml:math></inline-formula> 0.1. Soil pH was measured on 2 <inline-formula><mml:math id="M414" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">mm</mml:mi></mml:mrow></mml:math></inline-formula> sieved samples in 0.01 <inline-formula><mml:math id="M415" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">M</mml:mi></mml:mrow></mml:math></inline-formula> <inline-formula><mml:math id="M416" display="inline"><mml:mrow class="chem"><mml:msub><mml:mi mathvariant="normal">CaCl</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula> with a soil solution ratio of <inline-formula><mml:math id="M417" display="inline"><mml:mrow><mml:mn mathvariant="normal">1</mml:mn><mml:mo>:</mml:mo><mml:mn mathvariant="normal">5</mml:mn></mml:mrow></mml:math></inline-formula> and the pH value was determined using a Metrohm 713 pH Meter (Metrohm, Switzerland). Exchangeable cations (Al<sup>3+</sup>, Mg<sup>2+</sup>, Ca<sup>2+</sup>, Na<sup>+</sup>, K<sup>+</sup>) were extracted on 2 <inline-formula><mml:math id="M423" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">mm</mml:mi></mml:mrow></mml:math></inline-formula> sieved material at soil pH using <inline-formula><mml:math id="M424" display="inline"><mml:mrow class="chem"><mml:msub><mml:mi mathvariant="normal">BaCl</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula> as in <xref ref-type="bibr" rid="bib1.bibx56" id="text.122"/>. Cation contents in the <inline-formula><mml:math id="M425" display="inline"><mml:mrow class="chem"><mml:msub><mml:mi mathvariant="normal">BaCl</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula> extraction were measured using inductively coupled plasma-optical emission spectroscopy (ICP-OES, 5100 ICP-OES Agilent Technologies, USA). The Effective cation exchange capacity (ECEC) was calculated as the sum of exchangeable Al<sup>3+</sup>, Mg<sup>2+</sup>, Ca<sup>2+</sup>, Na<sup>+</sup>, K<sup>+</sup>, and H<sup>+</sup>, where H<sup>+</sup> was calculated using <inline-formula><mml:math id="M433" display="inline"><mml:mrow><mml:msup><mml:mn mathvariant="normal">10</mml:mn><mml:mrow><mml:mo>-</mml:mo><mml:mi mathvariant="normal">pH</mml:mi></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula> <inline-formula><mml:math id="M434" display="inline"><mml:mo>×</mml:mo></mml:math></inline-formula> 100. Since Al<sup>3+</sup> could not be modeled with the infrared spectra (low accuracies), it was estimated by ECEC – sum of bases – H<sup>+</sup> (for the prediction samples; i.e. samples with only infrared data). Pedogenic oxides were extracted from milled samples using the multiple-step approach by <xref ref-type="bibr" rid="bib1.bibx139" id="text.123"/>: metal-organo complexes (Fe<sub>Py</sub>, Al<sub>Py</sub>) were extracted at pH 10 with sodium-pyrophosphate <xref ref-type="bibr" rid="bib1.bibx8" id="paren.124"/>, and the amorphous secondary metals (Fe<sub>Ox</sub>, Al<sub>Ox</sub>) were extracted using ammonium oxalate-oxalic acid at pH 3 <xref ref-type="bibr" rid="bib1.bibx27" id="paren.125"/>; see also <xref ref-type="bibr" rid="bib1.bibx125" id="text.126"/> for more details. We refer to the sum of both metal forms (Al<sub>PyOx</sub> and Fe<sub>PyOx</sub>) which represent the reactive metal fraction. Soil texture was analyzed using the hydrometer method <xref ref-type="bibr" rid="bib1.bibx18" id="paren.127"/> with the adjustments as suggested by <xref ref-type="bibr" rid="bib1.bibx13" id="text.128"/>: after dispersion in 10 <inline-formula><mml:math id="M443" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">%</mml:mi></mml:mrow></mml:math></inline-formula> <inline-formula><mml:math id="M444" display="inline"><mml:mrow class="chem"><mml:mo>(</mml:mo><mml:msub><mml:mi mathvariant="normal">NaPO</mml:mi><mml:mn mathvariant="normal">3</mml:mn></mml:msub><mml:mo>)</mml:mo><mml:mn mathvariant="normal">6</mml:mn></mml:mrow></mml:math></inline-formula> and three applications of 6 <inline-formula><mml:math id="M445" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">%</mml:mi></mml:mrow></mml:math></inline-formula> <inline-formula><mml:math id="M446" display="inline"><mml:mrow class="chem"><mml:msub><mml:mi mathvariant="normal">H</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msub><mml:msub><mml:mi mathvariant="normal">O</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula>, silt (2–53 <inline-formula><mml:math id="M447" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">µ</mml:mi><mml:mi mathvariant="normal">m</mml:mi></mml:mrow></mml:math></inline-formula>) and clay (<inline-formula><mml:math id="M448" display="inline"><mml:mo lspace="0mm">&lt;</mml:mo></mml:math></inline-formula> 2 <inline-formula><mml:math id="M449" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">µ</mml:mi><mml:mi mathvariant="normal">m</mml:mi></mml:mrow></mml:math></inline-formula>) fractions were determined using the hydrometer readings at different time points. The sand fraction (53–2000 <inline-formula><mml:math id="M450" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">µ</mml:mi><mml:mi mathvariant="normal">m</mml:mi></mml:mrow></mml:math></inline-formula>) was separately determined by wet sieving, see <xref ref-type="bibr" rid="bib1.bibx38 bib1.bibx39" id="text.129"/> for more details.</p>
</sec>
</app>

<app id="App1.Ch1.S2">
  <label>Appendix B</label><title>Data merging between databases</title>
      <p id="d2e7439">Data for pH and exchangeable cations of the TropSOC database were measured with different methods and in a different laboratory (soil laboratory at the International Institute of Tropical Agriculture Kalambo, DRC). The compatibility of the both methods were assured by re-measuring samples at ETH Zurich using established methods (see section above). The method comparison for pH showed a high correlation to our obtained results with <inline-formula><mml:math id="M451" display="inline"><mml:mrow class="chem"><mml:msub><mml:mi mathvariant="normal">CaCl</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula> to the <inline-formula><mml:math id="M452" display="inline"><mml:mrow class="chem"><mml:mi mathvariant="normal">KCl</mml:mi></mml:mrow></mml:math></inline-formula> but a shift of 0.3 (linear regression: pH<sub>ETH∕CaCl<sub>2</sub></sub> <inline-formula><mml:math id="M454" display="inline"><mml:mo>=</mml:mo></mml:math></inline-formula> 0.3 <inline-formula><mml:math id="M455" display="inline"><mml:mo>+</mml:mo></mml:math></inline-formula> pH<sub>IITA∕KCl</sub> with an <inline-formula><mml:math id="M457" display="inline"><mml:mrow><mml:msup><mml:mi>R</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msup><mml:mo>=</mml:mo><mml:mn mathvariant="normal">0.96</mml:mn></mml:mrow></mml:math></inline-formula>, <inline-formula><mml:math id="M458" display="inline"><mml:mrow><mml:mi>n</mml:mi><mml:mo>=</mml:mo><mml:mn mathvariant="normal">10</mml:mn></mml:mrow></mml:math></inline-formula>, results not shown). Therefore, TropSOC pH data were bias corrected by adding 0.3. Exchangeable cations (Mg<sup>2+</sup>, Ca<sup>2+</sup>, Na<sup>+</sup>, K<sup>+</sup>) were extracted at soil pH using <inline-formula><mml:math id="M463" display="inline"><mml:mrow class="chem"><mml:mi mathvariant="normal">NH</mml:mi><mml:mn mathvariant="normal">4</mml:mn><mml:mi mathvariant="normal">Cl</mml:mi></mml:mrow></mml:math></inline-formula> percolation and measured using flame photometry and atomic absorption spectrophotometry <xref ref-type="bibr" rid="bib1.bibx114" id="paren.130"/>. Exchangeable Al<sup>3+</sup> was measured with a titration using <inline-formula><mml:math id="M465" display="inline"><mml:mrow class="chem"><mml:mi mathvariant="normal">KCl</mml:mi></mml:mrow></mml:math></inline-formula>, <inline-formula><mml:math id="M466" display="inline"><mml:mrow class="chem"><mml:mi mathvariant="normal">NaOH</mml:mi></mml:mrow></mml:math></inline-formula>, and <inline-formula><mml:math id="M467" display="inline"><mml:mrow class="chem"><mml:mi mathvariant="normal">HCl</mml:mi></mml:mrow></mml:math></inline-formula> <xref ref-type="bibr" rid="bib1.bibx100" id="paren.131"/>. The effective cation exchange capacity was calculated with the sum of Al<sup>3+</sup>, Mg<sup>2+</sup>, Ca<sup>2+</sup>, Na<sup>+</sup>, K<sup>+</sup>, and H<sup>+</sup>, with H<sup>+</sup> = <inline-formula><mml:math id="M475" display="inline"><mml:mrow><mml:msup><mml:mn mathvariant="normal">10</mml:mn><mml:mrow><mml:mo>-</mml:mo><mml:mi mathvariant="normal">pH</mml:mi></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula> <inline-formula><mml:math id="M476" display="inline"><mml:mo>×</mml:mo></mml:math></inline-formula> 100 (the calculation for H<sup>+</sup> was adjusted for consistency purposes in this study). The correlation of both methods resulted for ECEC in an <inline-formula><mml:math id="M478" display="inline"><mml:mrow><mml:msup><mml:mi>R</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula> of 0.97, the sum of exchangeable base cation in an <inline-formula><mml:math id="M479" display="inline"><mml:mrow><mml:msup><mml:mi>R</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula> of 0.98, and for Al<sup>3+</sup> an <inline-formula><mml:math id="M481" display="inline"><mml:mrow><mml:msup><mml:mi>R</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula> of 0.94, respectively (<inline-formula><mml:math id="M482" display="inline"><mml:mrow><mml:mi>n</mml:mi><mml:mo>=</mml:mo><mml:mn mathvariant="normal">20</mml:mn></mml:mrow></mml:math></inline-formula>; results not shown). See <xref ref-type="bibr" rid="bib1.bibx38 bib1.bibx39" id="text.132"/> for more details on these methods.</p>
</app>

<app id="App1.Ch1.S3">
  <label>Appendix C</label><title>Changes to soil pH and texture with time after deforestation</title>
      <p id="d2e7804">In topsoils of the mafic region, pH<sub>CaCl<sub>2</sub></sub> ranged between 2.7–5.8 with lowest values in cropland topsoils 2–7 years after deforestation (mean: 3.3) and highest values in abandoned sites (mean: 4.5) (Fig. <xref ref-type="fig" rid="FD2"/>). An increase of the mean values from forests (4.0) to cropland (4.5) was observed on sites <inline-formula><mml:math id="M484" display="inline"><mml:mrow><mml:mo>&gt;</mml:mo><mml:mn mathvariant="normal">60</mml:mn></mml:mrow></mml:math></inline-formula> years after deforestation. Topsoils under Eucalyptus monocultures had pH<sub>CaCl<sub>2</sub></sub> values of 4.0 regardless of time since deforestation (Fig. S1). In contrast, pH<sub>CaCl<sub>2</sub></sub> in topsoils of the felsic region ranged between 4.2–6.5 independently of time since deforestation. Highest values were measured under forest (mean 5.6) and under cropland (mean values 5.1–5.3).</p>
      <p id="d2e7858">On mafic parent material, the texture of the topsoils (0–10 cm) was coarse under forest and on croplands of recently cleared sites (2–7, 10–20 years) (mean values: 32.6 <inline-formula><mml:math id="M487" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">%</mml:mi></mml:mrow></mml:math></inline-formula>–37.7 <inline-formula><mml:math id="M488" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">%</mml:mi></mml:mrow></mml:math></inline-formula> sand and 62.4 <inline-formula><mml:math id="M489" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">%</mml:mi></mml:mrow></mml:math></inline-formula>–67.4 <inline-formula><mml:math id="M490" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">%</mml:mi></mml:mrow></mml:math></inline-formula> fine soil texture (silt <inline-formula><mml:math id="M491" display="inline"><mml:mo>+</mml:mo></mml:math></inline-formula> clay); Fig. <xref ref-type="fig" rid="FD2"/>). However, on cropland, abandoned, and Eucalyptus sites, which were cleared 40–60 and <inline-formula><mml:math id="M492" display="inline"><mml:mrow><mml:mo>&gt;</mml:mo><mml:mn mathvariant="normal">60</mml:mn></mml:mrow></mml:math></inline-formula> years ago, the texture was finer (mean values: 20.3 <inline-formula><mml:math id="M493" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">%</mml:mi></mml:mrow></mml:math></inline-formula>–29.6 <inline-formula><mml:math id="M494" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">%</mml:mi></mml:mrow></mml:math></inline-formula> sand, 70.4 <inline-formula><mml:math id="M495" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">%</mml:mi></mml:mrow></mml:math></inline-formula>–79.7 <inline-formula><mml:math id="M496" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">%</mml:mi></mml:mrow></mml:math></inline-formula> silt <inline-formula><mml:math id="M497" display="inline"><mml:mo>+</mml:mo></mml:math></inline-formula> clay). Similar patterns were also observed in the felsic region, where topsoils were coarser under forest (54.4 <inline-formula><mml:math id="M498" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">%</mml:mi></mml:mrow></mml:math></inline-formula> sand, 45.6 <inline-formula><mml:math id="M499" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">%</mml:mi></mml:mrow></mml:math></inline-formula> silt <inline-formula><mml:math id="M500" display="inline"><mml:mo>+</mml:mo></mml:math></inline-formula> clay), and finer on sites which were cleared 40–60 and <inline-formula><mml:math id="M501" display="inline"><mml:mrow><mml:mo>&gt;</mml:mo><mml:mn mathvariant="normal">60</mml:mn></mml:mrow></mml:math></inline-formula> years ago (26.0 <inline-formula><mml:math id="M502" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">%</mml:mi></mml:mrow></mml:math></inline-formula>–38.4 <inline-formula><mml:math id="M503" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">%</mml:mi></mml:mrow></mml:math></inline-formula> sand, 61.6 <inline-formula><mml:math id="M504" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">%</mml:mi></mml:mrow></mml:math></inline-formula>–74.0 <inline-formula><mml:math id="M505" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">%</mml:mi></mml:mrow></mml:math></inline-formula> silt <inline-formula><mml:math id="M506" display="inline"><mml:mo>+</mml:mo></mml:math></inline-formula> clay), regardless of land use (except one site sampled under Eucalyptus, which was cleared <inline-formula><mml:math id="M507" display="inline"><mml:mrow><mml:mo>&gt;</mml:mo><mml:mn mathvariant="normal">60</mml:mn></mml:mrow></mml:math></inline-formula> years ago, 45.5 <inline-formula><mml:math id="M508" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">%</mml:mi></mml:mrow></mml:math></inline-formula> sand, 54.5 <inline-formula><mml:math id="M509" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">%</mml:mi></mml:mrow></mml:math></inline-formula> silt <inline-formula><mml:math id="M510" display="inline"><mml:mo>+</mml:mo></mml:math></inline-formula> clay; Fig. <xref ref-type="fig" rid="FD2"/>).</p>
</app>

<app id="App1.Ch1.S4">
  <label>Appendix D</label><title>Additional graphs</title>

      <fig id="FD1"><label>Figure D1</label><caption><p id="d2e8073">Fraction modern (Fm) vs. soil organic carbon (SOC) in degraded hillslopes of cropland (circles), <italic>Eucalyptus</italic> (diamonds), abandoned cropland (upside down triangles) sites cleared <inline-formula><mml:math id="M511" display="inline"><mml:mrow><mml:mo>&gt;</mml:mo><mml:mn mathvariant="normal">60</mml:mn></mml:mrow></mml:math></inline-formula> years ago (yellow symbols) of the mafic region. Forest reference profiles from <xref ref-type="bibr" rid="bib1.bibx38 bib1.bibx39" id="text.133"/> are plotted as green triangles.</p></caption>
        
        <graphic xlink:href="https://bg.copernicus.org/articles/23/3907/2026/bg-23-3907-2026-f08.png"/>

      </fig>

<fig id="FD2"><label>Figure D2</label><caption><p id="d2e8103">Changes in pH<sub>CaCl<sub>2</sub></sub>, as well as fine soil texture (silt <inline-formula><mml:math id="M513" display="inline"><mml:mo>+</mml:mo></mml:math></inline-formula> clay) and sand along the deforestation chronosequence in topsoils (0–10 cm) developed on mafic (left) and felsic (right) parent material.</p></caption>
        
        <graphic xlink:href="https://bg.copernicus.org/articles/23/3907/2026/bg-23-3907-2026-f09.png"/>

      </fig>

<fig id="FD3"><label>Figure D3</label><caption><p id="d2e8138">Particle sizes: sand (left) and fine soil texture (right) in old-growth and pristine forests in both geochemical regions (top: mafic, bottom: felsic) in a soil depth of 0–100 cm. Data source: TropSOC database <xref ref-type="bibr" rid="bib1.bibx38 bib1.bibx39" id="paren.134"/>.</p></caption>
        
        <graphic xlink:href="https://bg.copernicus.org/articles/23/3907/2026/bg-23-3907-2026-f10.png"/>

      </fig>

      <fig id="FD4"><label>Figure D4</label><caption><p id="d2e8154">Relative change of soil organic carbon (SOC), total nitrogen (TN), effective cation exchange capacity (ECEC), and plant available P (P<sub>resin</sub>) in hillslope topsoils compared to forest topsoils (0–10 cm) along the deforestation chronosequence (0, 2–7, 10–20, 40–60, <inline-formula><mml:math id="M515" display="inline"><mml:mrow><mml:mo>&gt;</mml:mo><mml:mn mathvariant="normal">60</mml:mn></mml:mrow></mml:math></inline-formula> years since deforestation) in soils developed on mafic and felsic parent material. Error bars are the standard errors of the mean of each group and the forest mean.</p></caption>
        
        <graphic xlink:href="https://bg.copernicus.org/articles/23/3907/2026/bg-23-3907-2026-f11.png"/>

      </fig>

<fig id="FD5"><label>Figure D5</label><caption><p id="d2e8187"><inline-formula><mml:math id="M516" display="inline"><mml:mrow class="chem"><mml:mi mathvariant="normal">C</mml:mi><mml:mo>:</mml:mo><mml:mi mathvariant="normal">N</mml:mi></mml:mrow></mml:math></inline-formula> ratio in 0–10 cm under forests, croplands, <italic>Eucalyptus</italic> and on abandoned sites (abnd.) along the deforestation chronosequence (0, 2–7, 10–20, 40–60, <inline-formula><mml:math id="M517" display="inline"><mml:mrow><mml:mo>&gt;</mml:mo><mml:mn mathvariant="normal">60</mml:mn></mml:mrow></mml:math></inline-formula> years since deforestation) in soils developed on mafic (top) and felsic (bottom) parent material.</p></caption>
        
        <graphic xlink:href="https://bg.copernicus.org/articles/23/3907/2026/bg-23-3907-2026-f12.png"/>

      </fig>

      <fig id="FD6"><label>Figure D6</label><caption><p id="d2e8224"><inline-formula><mml:math id="M518" display="inline"><mml:mrow class="chem"><mml:msub><mml:mi mathvariant="normal">P</mml:mi><mml:mi mathvariant="normal">resin</mml:mi></mml:msub><mml:mo>:</mml:mo><mml:mi mathvariant="normal">TN</mml:mi></mml:mrow></mml:math></inline-formula> ratio in 0–10 cm under forests, croplands, <italic>Eucalyptus</italic> and on abandoned sites (abnd.) along the deforestation chronosequence (0, 2–7, 10–20, 40–60, <inline-formula><mml:math id="M519" display="inline"><mml:mrow><mml:mo>&gt;</mml:mo><mml:mn mathvariant="normal">60</mml:mn></mml:mrow></mml:math></inline-formula> years since deforestation) in soils developed on mafic (top) and felsic (bottom) parent material.</p></caption>
        
        <graphic xlink:href="https://bg.copernicus.org/articles/23/3907/2026/bg-23-3907-2026-f13.png"/>

      </fig>

<fig id="FD7"><label>Figure D7</label><caption><p id="d2e8266">Slope angle in vs. soil organic carbon (SOC), total nitrogen (TN), bio-available P (P<sub>resin</sub>), pH<sub>CaCl<sub>2</sub></sub>, and effective cation exchange capacity (ECEC) in the two geochemical regions mafic (left) and felsic (right).</p></caption>
        
        <graphic xlink:href="https://bg.copernicus.org/articles/23/3907/2026/bg-23-3907-2026-f14.png"/>

      </fig>

<fig id="FD8"><label>Figure D8</label><caption><p id="d2e8302">Soil profiles (felsic: road cuts; mafic: basalt mine), sampled down to the saprolite or to the bedrock.</p></caption>
        
        <graphic xlink:href="https://bg.copernicus.org/articles/23/3907/2026/bg-23-3907-2026-f15.png"/>

      </fig>

<fig id="FD9"><label>Figure D9</label><caption><p id="d2e8316">Slope inclination distributions on land (without forested, built-up areas, open water) in the three territories Walungu, Kabare, and Kalehe in the province South Kivu. Slope was calculated from a digital elevation model (SRTM 30 <inline-formula><mml:math id="M522" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">m</mml:mi></mml:mrow></mml:math></inline-formula>), land cover information was used from ESA-CCI (ESA-CCI S2 prototype Land Cover 20 <inline-formula><mml:math id="M523" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">m</mml:mi></mml:mrow></mml:math></inline-formula> map of Africa 2016).</p></caption>
        <graphic xlink:href="https://bg.copernicus.org/articles/23/3907/2026/bg-23-3907-2026-f16.png"/>

      </fig>

</app>
  </app-group><notes notes-type="codedataavailability"><title>Code and data availability</title>

      <p id="d2e8345">Code and data to reproduce the obtained results are available on the GitHub repository and Zenodo: laura-summerauer/soildeg-easternafrica-publication, <ext-link xlink:href="https://doi.org/10.5281/zenodo.20326820" ext-link-type="DOI">10.5281/zenodo.20326820</ext-link> <xref ref-type="bibr" rid="bib1.bibx141" id="paren.135"/>.</p>
  </notes><notes notes-type="authorcontribution"><title>Author contributions</title>

      <p id="d2e8357">SD, and LS have conceptualized the project and paper. SD designed the research. LS has led the research. LS, FB, DM, BA, and AW have selected the study sites, conducted the field work and led the coordination in the field. CK and LCN have provided crucial local facilities and information, LRL and LS have developed the soil analyses using infrared spectroscopy, LS has led all the laboratory work, performed all the statistical analyses and graphical visualizations. All authors contributed to the writing of the paper.</p>
  </notes><notes notes-type="competinginterests"><title>Competing interests</title>

      <p id="d2e8363">At least one of the (co-)authors is a member of the editorial board of <italic>Biogeosciences</italic>. The peer-review process was guided by an independent editor, and the authors also have no other competing interests to declare.</p>
  </notes><notes notes-type="disclaimer"><title>Disclaimer</title>

      <p id="d2e8372">Publisher's note: Copernicus Publications remains neutral with regard to jurisdictional claims made in the text, published maps, institutional affiliations, or any other geographical representation in this paper. The authors bear the ultimate responsibility for providing appropriate place names. Views expressed in the text are those of the authors and do not necessarily reflect the views of the publisher.</p>
  </notes><ack><title>Acknowledgements</title><p id="d2e8378">We are truly thankful to all the smallholder farmers in the Democratic Republic of Congo and Uganda who supported our sampling. We also express our gratitude to all field helpers and coordinators for their support. We acknowledge the Université Catholique de Bukavu and Mountains of the Moon University for providing us with their facilities. We warmly thank Fabien Munzihirwa and Kadiri Mugenyi and the Soil Resources group at ETH Zurich for their support in the laboratory. We also thank Kristof van Oost, Matti Barthel, Oliver Chadwick, and the Congo Biogeochemistry Observatory for the inspiration.</p></ack><notes notes-type="financialsupport"><title>Financial support</title>

      <p id="d2e8383">This study was funded by core ETH funding provided to Soil Resources Group from ETH Zurich.</p>
  </notes><notes notes-type="reviewstatement"><title>Review statement</title>

      <p id="d2e8389">This paper was edited by Sara Vicca and reviewed by two anonymous referees.</p>
  </notes><ref-list>
    <title>References</title>

      <ref id="bib1.bibx1"><label>Amundson et al.(2015)Amundson, Berhe, Hopmans, Olson, Sztein, and Sparks</label><mixed-citation>Amundson, R., Berhe, A. A., Hopmans, J. W., Olson, C., Sztein, A. E., and Sparks, D. L.: Soil and Human Security in the 21st Century, Science, 348, 1261071, <ext-link xlink:href="https://doi.org/10.1126/science.1261071" ext-link-type="DOI">10.1126/science.1261071</ext-link>, 2015.</mixed-citation></ref>
      <ref id="bib1.bibx2"><label>Angst et al.(2018)Angst, Messinger, Greiner, Häusler, Hertel, Kirfel, Kögel-Knabner, Leuschner, Rethemeyer, and Mueller</label><mixed-citation>Angst, G., Messinger, J., Greiner, M., Häusler, W., Hertel, D., Kirfel, K., Kögel-Knabner, I., Leuschner, C., Rethemeyer, J., and Mueller, C. W.: Soil Organic Carbon Stocks in Topsoil and Subsoil Controlled by Parent Material, Carbon Input in the Rhizosphere, and Microbial-Derived Compounds, Soil Biol. Biochem., 122, 19–30, <ext-link xlink:href="https://doi.org/10.1016/j.soilbio.2018.03.026" ext-link-type="DOI">10.1016/j.soilbio.2018.03.026</ext-link>, 2018.</mixed-citation></ref>
      <ref id="bib1.bibx3"><label>Araujo et al.(2017)Araujo, Zinn, and Lal</label><mixed-citation>Araujo, M. A., Zinn, Y. L., and Lal, R.: Soil Parent Material, Texture and Oxide Contents Have Little Effect on Soil Organic Carbon Retention in Tropical Highlands, Geoderma, 300, 1–10, <ext-link xlink:href="https://doi.org/10.1016/j.geoderma.2017.04.006" ext-link-type="DOI">10.1016/j.geoderma.2017.04.006</ext-link>, 2017.</mixed-citation></ref>
      <ref id="bib1.bibx4"><label>Augusto et al.(2017)Augusto, Achat, Jonard, Vidal, and Ringeval</label><mixed-citation>Augusto, L., Achat, D. L., Jonard, M., Vidal, D., and Ringeval, B.: Soil Parent Material – A Major Driver of Plant Nutrient Limitations in Terrestrial Ecosystems, Glob. Change Biol., 23, 3808–3824, <ext-link xlink:href="https://doi.org/10.1111/gcb.13691" ext-link-type="DOI">10.1111/gcb.13691</ext-link>, 2017.</mixed-citation></ref>
      <ref id="bib1.bibx5"><label>Bailey et al.(2005)Bailey, Lloyd, Kearns, Stoppa, Eby, and Woolley</label><mixed-citation>Bailey, K., Lloyd, F., Kearns, S., Stoppa, F., Eby, N., and Woolley, A.: Melilitite at Fort Portal, Uganda: Another Dimension to the Carbonate Volcanism, Lithos, 85, 15–25, <ext-link xlink:href="https://doi.org/10.1016/j.lithos.2005.03.019" ext-link-type="DOI">10.1016/j.lithos.2005.03.019</ext-link>, 2005.</mixed-citation></ref>
      <ref id="bib1.bibx6"><label>Bamwesigye et al.(2022)Bamwesigye, Chipfakacha, and Yeboah</label><mixed-citation>Bamwesigye, D., Chipfakacha, R., and Yeboah, E.: Forest and Land Rights at a Time of Deforestation and Climate Change: Land and Resource Use Crisis in Uganda, Land, 11, 2092, <ext-link xlink:href="https://doi.org/10.3390/land11112092" ext-link-type="DOI">10.3390/land11112092</ext-link>, 2022.</mixed-citation></ref>
      <ref id="bib1.bibx7"><label>Barker and Nixon(1989)</label><mixed-citation>Barker, D. S. and Nixon, P. H.: High-Ca, Low-Alkali Carbonatite Volcanism at Fort Portal, Uganda, Contrib. Mineral. Petr., 103, 166–177, <ext-link xlink:href="https://doi.org/10.1007/BF00378502" ext-link-type="DOI">10.1007/BF00378502</ext-link>, 1989.</mixed-citation></ref>
      <ref id="bib1.bibx8"><label>Bascomb(1968)</label><mixed-citation>Bascomb, C. L.: Distribution of Pyrophosphate-Extractable Iron and Organic Carbon in Soils of Various Groups, J. Soil Sci., 19, 251–268, <ext-link xlink:href="https://doi.org/10.1111/j.1365-2389.1968.tb01538.x" ext-link-type="DOI">10.1111/j.1365-2389.1968.tb01538.x</ext-link>, 1968.</mixed-citation></ref>
      <ref id="bib1.bibx9"><label>Baumann et al.(2024)Baumann, Knecht, and Roudier</label><mixed-citation>Baumann, P., Knecht, T., and Roudier, P.: Opusreader2: Read Spectroscopic Data from Bruker OPUS Binary Files. R Package Version 0.6.2.9000, <uri>https://github.com/spectral-cockpit/opusreader2</uri>, last access: 3 April 2024.</mixed-citation></ref>
      <ref id="bib1.bibx10"><label>Bauters et al.(2018)Bauters, Drake, Verbeeck, Bodé, Hervé-Fernández, Zito, Podgorski, Boyemba, Makelele, Cizungu Ntaboba, Spencer, and Boeckx</label><mixed-citation>Bauters, M., Drake, T. W., Verbeeck, H., Bodé, S., Hervé-Fernández, P., Zito, P., Podgorski, D. C., Boyemba, F., Makelele, I., Cizungu Ntaboba, L., Spencer, R. G. M., and Boeckx, P.: High Fire-Derived Nitrogen Deposition on Central African Forests, P. Natl. Acad. Sci. USA, 115, 549–554, <ext-link xlink:href="https://doi.org/10.1073/pnas.1714597115" ext-link-type="DOI">10.1073/pnas.1714597115</ext-link>, 2018.</mixed-citation></ref>
      <ref id="bib1.bibx11"><label>Bauters et al.(2021)Bauters, Drake, Wagner, Baumgartner, Makelele, Bodé, Verheyen, Verbeeck, Ewango, Cizungu, Van Oost, and Boeckx</label><mixed-citation>Bauters, M., Drake, T. W., Wagner, S., Baumgartner, S., Makelele, I. A., Bodé, S., Verheyen, K., Verbeeck, H., Ewango, C., Cizungu, L., Van Oost, K., and Boeckx, P.: Fire-Derived Phosphorus Fertilization of African Tropical Forests, Nat. Commun., 12, 5129, <ext-link xlink:href="https://doi.org/10.1038/s41467-021-25428-3" ext-link-type="DOI">10.1038/s41467-021-25428-3</ext-link>, 2021.</mixed-citation></ref>
      <ref id="bib1.bibx12"><label>Bauters et al.(2022)Bauters, Janssens, Wasner, Doetterl, Vermeir, Griepentrog, Drake, Six, Barthel, Baumgartner, Van Oost, Makelele, Ewango, Verheyen, and Boeckx</label><mixed-citation>Bauters, M., Janssens, I. A., Wasner, D., Doetterl, S., Vermeir, P., Griepentrog, M., Drake, T. W., Six, J., Barthel, M., Baumgartner, S., Van Oost, K., Makelele, I. A., Ewango, C., Verheyen, K., and Boeckx, P.: Increasing Calcium Scarcity along Afrotropical Forest Succession, Nature Ecology &amp; Evolution, 6, 1122–1131, <ext-link xlink:href="https://doi.org/10.1038/s41559-022-01810-2" ext-link-type="DOI">10.1038/s41559-022-01810-2</ext-link>, 2022.</mixed-citation></ref>
      <ref id="bib1.bibx13"><label>Beretta et al.(2014)Beretta, Silbermann, Paladino, Torres, Bassahun, Musselli, and García-Lamohte</label><mixed-citation>Beretta, A. N., Silbermann, A. V., Paladino, L., Torres, D., Bassahun, D., Musselli, R., and García-Lamohte, A.: Soil Texture Analyses Using a Hydrometer: Modification of the Bouyoucos Method, Cienc. Investig. Agrar., 41, 263–271, <ext-link xlink:href="https://doi.org/10.4067/S0718-16202014000200013" ext-link-type="DOI">10.4067/S0718-16202014000200013</ext-link>, 2014.</mixed-citation></ref>
      <ref id="bib1.bibx14"><label>Berhe et al.(2007)Berhe, Harte, Harden, and Torn</label><mixed-citation>Berhe, A. A., Harte, J., Harden, J. W., and Torn, M. S.: The Significance of the Erosion-induced Terrestrial Carbon Sink, BioScience, 57, 337–346, <ext-link xlink:href="https://doi.org/10.1641/B570408" ext-link-type="DOI">10.1641/B570408</ext-link>, 2007.</mixed-citation></ref>
      <ref id="bib1.bibx15"><label>Bertrand et al.(2019)Bertrand, Viaud, Daufresne, Pellerin, and Recous</label><mixed-citation>Bertrand, I., Viaud, V., Daufresne, T., Pellerin, S., and Recous, S.: Stoichiometry Constraints Challenge the Potential of Agroecological Practices for the Soil C Storage. A Review, Agron. Sustain. Dev., 39, 54, <ext-link xlink:href="https://doi.org/10.1007/s13593-019-0599-6" ext-link-type="DOI">10.1007/s13593-019-0599-6</ext-link>, 2019.</mixed-citation></ref>
      <ref id="bib1.bibx16"><label>Blume et al.(2016)Blume, Brümmer, Fleige, Horn, Kandeler, Kögel-Knabner, Kretzschmar, Stahr, and Wilke</label><mixed-citation>Blume, H.-P., Brümmer, G. W., Fleige, H., Horn, R., Kandeler, E., Kögel-Knabner, I., Kretzschmar, R., Stahr, K., and Wilke, B.-M.: Inorganic Soil Components – Minerals and Rocks, in: Scheffer/Schachtschabel Soil Science, edited by: Blume, H.-P., Brümmer, G. W., Fleige, H., Horn, R., Kandeler, E., Kögel-Knabner, I., Kretzschmar, R., Stahr, K., and Wilke, B.-M., Springer, 7–53, ISBN 978-3-642-30942-7, <ext-link xlink:href="https://doi.org/10.1007/978-3-642-30942-7_2" ext-link-type="DOI">10.1007/978-3-642-30942-7_2</ext-link>, 2016.</mixed-citation></ref>
      <ref id="bib1.bibx17"><label>Bouillet et al.(2013)Bouillet, Laclau, Gonçalves, Voigtlaender, Gava, Leite, Hakamada, Mareschal, Mabiala, Tardy, Levillain, Deleporte, Epron, and Nouvellon</label><mixed-citation>Bouillet, J.-P., Laclau, J.-P., Gonçalves, J. L. d. M., Voigtlaender, M., Gava, J. L., Leite, F. P., Hakamada, R., Mareschal, L., Mabiala, A., Tardy, F., Levillain, J., Deleporte, P., Epron, D., and Nouvellon, Y.: <italic>Eucalyptus</italic> and <italic>Acacia</italic> Tree Growth over Entire Rotation in Single- and Mixed-Species Plantations across Five Sites in Brazil and Congo, Forest Ecol. Manag., 301, 89–101, <ext-link xlink:href="https://doi.org/10.1016/j.foreco.2012.09.019" ext-link-type="DOI">10.1016/j.foreco.2012.09.019</ext-link>, 2013.</mixed-citation></ref>
      <ref id="bib1.bibx18"><label>Bouyoucos(1962)</label><mixed-citation>Bouyoucos, G. J.: Hydrometer Method Improved for Making Particle Size Analyses of Soils1, Agron. J., 54, 464–465, <ext-link xlink:href="https://doi.org/10.2134/agronj1962.00021962005400050028x" ext-link-type="DOI">10.2134/agronj1962.00021962005400050028x</ext-link>, 1962.</mixed-citation></ref>
      <ref id="bib1.bibx19"><label>Brancalion et al.(2020)</label><mixed-citation>Brancalion, P. H. S., Amazonas, N. T., Chazdon, R. L., van Melis, J., Rodrigues, R. R., Silva, C. C., Sorrini, T. B., and Holl, K. D.: Exotic Eucalypts: From Demonized Trees to Allies of Tropical Forest Restoration?, J. Appl. Ecol., 57, 55–66, <ext-link xlink:href="https://doi.org/10.1111/1365-2664.13513" ext-link-type="DOI">10.1111/1365-2664.13513</ext-link>, 2020.</mixed-citation></ref>
      <ref id="bib1.bibx20"><label>Bristow et al.(2010)Bristow, Hudson-Edwards, and Chappell</label><mixed-citation>Bristow, C. S., Hudson-Edwards, K. A., and Chappell, A.: Fertilizing the Amazon and Equatorial Atlantic with West African Dust, Geophys. Res. Lett., 37, <ext-link xlink:href="https://doi.org/10.1029/2010GL043486" ext-link-type="DOI">10.1029/2010GL043486</ext-link>, 2010.</mixed-citation></ref>
      <ref id="bib1.bibx21"><label>Bruun et al.(2010)Bruun, Elberling, and Christensen</label><mixed-citation>Bruun, T. B., Elberling, B., and Christensen, B. T.: Lability of Soil Organic Carbon in Tropical Soils with Different Clay Minerals, Soil Biol. Biochem., 42, 888–895, <ext-link xlink:href="https://doi.org/10.1016/j.soilbio.2010.01.009" ext-link-type="DOI">10.1016/j.soilbio.2010.01.009</ext-link>, 2010.</mixed-citation></ref>
      <ref id="bib1.bibx22"><label>Bukombe et al.(2022)Bukombe, Bauters, Boeckx, Cizungu, Cooper, Fiener, Kidinda, Makelele, Muhindo, Rewald, Verheyen, and Doetterl</label><mixed-citation>Bukombe, B., Bauters, M., Boeckx, P., Cizungu, L. N., Cooper, M., Fiener, P., Kidinda, L. K., Makelele, I., Muhindo, D. I., Rewald, B., Verheyen, K., and Doetterl, S.: Soil Geochemistry – and Not Topography – as a Major Driver of Carbon Allocation, Stocks, and Dynamics in Forests and Soils of African Tropical Montane Ecosystems, New Phytol., 236, 1676–1690, <ext-link xlink:href="https://doi.org/10.1111/nph.18469" ext-link-type="DOI">10.1111/nph.18469</ext-link>, 2022.</mixed-citation></ref>
      <ref id="bib1.bibx23"><label>Chadwick and Asner(2016)</label><mixed-citation>Chadwick, K. D. and Asner, G. P.: Tropical Soil Nutrient Distributions Determined by Biotic and Hillslope Processes, Biogeochemistry, 127, 273–289, <ext-link xlink:href="https://doi.org/10.1007/s10533-015-0179-z" ext-link-type="DOI">10.1007/s10533-015-0179-z</ext-link>, 2016.</mixed-citation></ref>
      <ref id="bib1.bibx24"><label>Coleman and Jenkinson(1996)</label><mixed-citation>Coleman, K. and Jenkinson, D. S.: RothC-26.3 - A Model for the Turnover of Carbon in Soil, in: Evaluation of Soil Organic Matter Models, edited by Powlson, D. S., Smith, P., and Smith, J. U., NATO ASI Series, Springer, 237–246, ISBN 978-3-642-61094-3, <ext-link xlink:href="https://doi.org/10.1007/978-3-642-61094-3_17" ext-link-type="DOI">10.1007/978-3-642-61094-3_17</ext-link>, 1996.</mixed-citation></ref>
      <ref id="bib1.bibx25"><label>Cook et al.(2016)Cook, Binkley, and Stape</label><mixed-citation>Cook, R. L., Binkley, D., and Stape, J. L.: Eucalyptus Plantation Effects on Soil Carbon after 20years and Three Rotations in Brazil, Forest Ecol. Manag., 359, 92–98, <ext-link xlink:href="https://doi.org/10.1016/j.foreco.2015.09.035" ext-link-type="DOI">10.1016/j.foreco.2015.09.035</ext-link>, 2016.</mixed-citation></ref>
      <ref id="bib1.bibx26"><label>Cox(2012)</label><mixed-citation>Cox, T. P.: Farming the Battlefield: The Meanings of War, Cattle and Soil in South Kivu, Democratic Republic of the Congo, Disasters, 36, 233–248, <ext-link xlink:href="https://doi.org/10.1111/j.1467-7717.2011.01257.x" ext-link-type="DOI">10.1111/j.1467-7717.2011.01257.x</ext-link>, 2012.</mixed-citation></ref>
      <ref id="bib1.bibx27"><label>Dahlgren(1994)</label><mixed-citation>Dahlgren, R. A.: Quantification of Allophane and Imogolite, in: Quantitative Methods in Soil Mineralogy, pp. 430–451, John Wiley &amp; Sons, Ltd, ISBN 978-0-89118-884-1, <ext-link xlink:href="https://doi.org/10.2136/1994.quantitativemethods.c14" ext-link-type="DOI">10.2136/1994.quantitativemethods.c14</ext-link>, 1994.</mixed-citation></ref>
      <ref id="bib1.bibx28"><label>D'Angelo et al.(2001)D'Angelo, Crutchfield, and Vandiviere</label><mixed-citation>D'Angelo, E., Crutchfield, J., and Vandiviere, M.: Rapid, Sensitive, Microscale Determination of Phosphate in Water and Soil, J. Environ. Qual., 30, 2206–2209, <ext-link xlink:href="https://doi.org/10.2134/jeq2001.2206" ext-link-type="DOI">10.2134/jeq2001.2206</ext-link>, 2001.</mixed-citation></ref>
      <ref id="bib1.bibx29"><label>Davidson and Ackerman(1993)</label><mixed-citation>Davidson, E. A. and Ackerman, I. L.: Changes in Soil Carbon Inventories Following Cultivation of Previously Untilled Soils, Biogeochemistry, 20, 161–193, <ext-link xlink:href="https://doi.org/10.1007/BF00000786" ext-link-type="DOI">10.1007/BF00000786</ext-link>, 1993.</mixed-citation></ref>
      <ref id="bib1.bibx30"><label>Dechert et al.(2004)Dechert, Veldkamp, and Anas</label><mixed-citation>Dechert, G., Veldkamp, E., and Anas, I.: Is Soil Degradation Unrelated to Deforestation? Examining Soil Parameters of Land Use Systems in Upland Central Sulawesi, Indonesia, Plant Soil, 265, 197–209, <ext-link xlink:href="https://doi.org/10.1007/s11104-005-0885-8" ext-link-type="DOI">10.1007/s11104-005-0885-8</ext-link>, 2004.</mixed-citation></ref>
      <ref id="bib1.bibx31"><label>Delcamp et al.(2019)Delcamp, Mossoux, Belkus, Tweheyo, Mattsson, and Kervyn</label><mixed-citation>Delcamp, A., Mossoux, S., Belkus, H., Tweheyo, C., Mattsson, H., and Kervyn, M.: Control of the Stress Field and Rift Structures on the Distribution and Morphology of Explosive Volcanic Craters in the Manyara and Albertine Rifts, J. Afr. Earth Sci., 150, 566–583, <ext-link xlink:href="https://doi.org/10.1016/j.jafrearsci.2018.09.012" ext-link-type="DOI">10.1016/j.jafrearsci.2018.09.012</ext-link>, 2019.</mixed-citation></ref>
      <ref id="bib1.bibx32"><label>Depicker et al.(2020)Depicker, Jacobs, Delvaux, Havenith, Maki Mateso, Govers, and Dewitte</label><mixed-citation>Depicker, A., Jacobs, L., Delvaux, D., Havenith, H.-B., Maki Mateso, J.-C., Govers, G., and Dewitte, O.: The Added Value of a Regional Landslide Susceptibility Assessment: The Western Branch of the East African Rift, Geomorphology, 353, 106886, <ext-link xlink:href="https://doi.org/10.1016/j.geomorph.2019.106886" ext-link-type="DOI">10.1016/j.geomorph.2019.106886</ext-link>, 2020.</mixed-citation></ref>
      <ref id="bib1.bibx33"><label>Depicker et al.(2021)Depicker, Jacobs, Mboga, Smets, Van Rompaey, Lennert, Wolff, Kervyn, Michellier, Dewitte, and Govers</label><mixed-citation>Depicker, A., Jacobs, L., Mboga, N., Smets, B., Van Rompaey, A., Lennert, M., Wolff, E., Kervyn, F., Michellier, C., Dewitte, O., and Govers, G.: Historical Dynamics of Landslide Risk from Population and Forest-Cover Changes in the Kivu Rift, Nature Sustainability, 4, 965–974, <ext-link xlink:href="https://doi.org/10.1038/s41893-021-00757-9" ext-link-type="DOI">10.1038/s41893-021-00757-9</ext-link>, 2021.</mixed-citation></ref>
      <ref id="bib1.bibx34"><label>Detwiler(1986)</label><mixed-citation>Detwiler, R. P.: Land Use Change and the Global Carbon Cycle: The Role of Tropical Soils, Biogeochemistry, 2, 67–93, <ext-link xlink:href="https://doi.org/10.1007/BF02186966" ext-link-type="DOI">10.1007/BF02186966</ext-link>, 1986.</mixed-citation></ref>
      <ref id="bib1.bibx35"><label>Dick et al.(2005)Dick, Nunes Gonçalves, Dalmolin, Knicker, Klamt, Kögel-Knabner, Simões, and Martin-Neto</label><mixed-citation>Dick, D. P., Nunes Gonçalves, C., Dalmolin, R. S. D., Knicker, H., Klamt, E., Kögel-Knabner, I., Simões, M. L., and Martin-Neto, L.: Characteristics of Soil Organic Matter of Different Brazilian Ferralsols under Native Vegetation as a Function of Soil Depth, Geoderma, 124, 319–333, <ext-link xlink:href="https://doi.org/10.1016/j.geoderma.2004.05.008" ext-link-type="DOI">10.1016/j.geoderma.2004.05.008</ext-link>, 2005.</mixed-citation></ref>
      <ref id="bib1.bibx36"><label>Doetterl et al.(2015)Doetterl, Cornelis, Six, Bodé, Opfergelt, Boeckx, and Van Oost</label><mixed-citation>Doetterl, S., Cornelis, J.-T., Six, J., Bodé, S., Opfergelt, S., Boeckx, P., and Van Oost, K.: Soil redistribution and weathering controlling the fate of geochemical and physical carbon stabilization mechanisms in soils of an eroding landscape, Biogeosciences, 12, 1357–1371, <ext-link xlink:href="https://doi.org/10.5194/bg-12-1357-2015" ext-link-type="DOI">10.5194/bg-12-1357-2015</ext-link>, 2015.</mixed-citation></ref>
      <ref id="bib1.bibx37"><label>Doetterl et al.(2018)Doetterl, Berhe, Arnold, Bodé, Fiener, Finke, Fuchslueger, Griepentrog, Harden, Nadeu, Schnecker, Six, Trumbore, Van Oost, Vogel, and Boeckx</label><mixed-citation>Doetterl, S., Berhe, A. A., Arnold, C., Bodé, S., Fiener, P., Finke, P., Fuchslueger, L., Griepentrog, M., Harden, J. W., Nadeu, E., Schnecker, J., Six, J., Trumbore, S., Van Oost, K., Vogel, C., and Boeckx, P.: Links among Warming, Carbon and Microbial Dynamics Mediated by Soil Mineral Weathering, 11, Nat. Geosci., 589–593, <ext-link xlink:href="https://doi.org/10.1038/s41561-018-0168-7" ext-link-type="DOI">10.1038/s41561-018-0168-7</ext-link>, 2018.</mixed-citation></ref>
      <ref id="bib1.bibx38"><label>Doetterl et al.(2021a)Doetterl, Asifiwe, Baert, Bamba, Bauters, Boeckx, Bukombe, Cadisch, Cooper, Cizungu, Hoyt, Kabaseke, Kalbitz, Kidinda, Maier, Mainka, Mayrock, Muhindo, Mujinya, Mukotanyi, Nabahungu, Reichenbach, Rewald, Six, Stegmann, Summerauer, Unseld, Vanlauwe, Van Oost, Verheyen, Vogel, Wilken, and Fiener</label><mixed-citation>Doetterl, S., Asifiwe, R. K., Baert, G., Bamba, F., Bauters, M., Boeckx, P., Bukombe, B., Cadisch, G., Cooper, M., Cizungu, L. N., Hoyt, A., Kabaseke, C., Kalbitz, K., Kidinda, L., Maier, A., Mainka, M., Mayrock, J., Muhindo, D., Mujinya, B. B., Mukotanyi, S. M., Nabahungu, L., Reichenbach, M., Rewald, B., Six, J., Stegmann, A., Summerauer, L., Unseld, R., Vanlauwe, B., Van Oost, K., Verheyen, K., Vogel, C., Wilken, F., and Fiener, P.: Organic matter cycling along geochemical, geomorphic, and disturbance gradients in forest and cropland of the African Tropics – project TropSOC database version 1.0, Earth Syst. Sci. Data, 13, 4133–4153, <ext-link xlink:href="https://doi.org/10.5194/essd-13-4133-2021" ext-link-type="DOI">10.5194/essd-13-4133-2021</ext-link>, 2021a.</mixed-citation></ref>
      <ref id="bib1.bibx39"><label>Doetterl et al.(2021b)Doetterl, Bukombe, Cooper, Kidinda, Muhindo, Reichenbach, Stegmann, Summerauer, Wilken, and Fiener</label><mixed-citation>Doetterl, S., Bukombe, B., Cooper, M., Kidinda, L., Muhindo, D., Reichenbach, M., Stegmann, A., Summerauer, L., Wilken, F., and Fiener, P.: TropSOC Database V 1.1, GFZ Data Services [data set], <ext-link xlink:href="https://doi.org/10.5880/FIDGEO.2021.009" ext-link-type="DOI">10.5880/FIDGEO.2021.009</ext-link>, 2021b.</mixed-citation></ref>
      <ref id="bib1.bibx40"><label>Don et al.(2011)Don, Schumacher, and Freibauer</label><mixed-citation>Don, A., Schumacher, J., and Freibauer, A.: Impact of Tropical Land-Use Change on Soil Organic Carbon Stocks – a Meta-Analysis, Glob. Change Biol., 17, 1658–1670, <ext-link xlink:href="https://doi.org/10.1111/j.1365-2486.2010.02336.x" ext-link-type="DOI">10.1111/j.1365-2486.2010.02336.x</ext-link>, 2011.</mixed-citation></ref>
      <ref id="bib1.bibx41"><label>Drake et al.(2019)Drake, Van Oost, Barthel, Bauters, Hoyt, Podgorski, Six, Boeckx, Trumbore, Ntaboba, and Spencer</label><mixed-citation>Drake, T. W., Van Oost, K., Barthel, M., Bauters, M., Hoyt, A. M., Podgorski, D. C., Six, J., Boeckx, P., Trumbore, S. E., Ntaboba, L. C., and Spencer, R. G. M.: Mobilization of Aged and Biolabile Soil Carbon by Tropical Deforestation, Nat. Geosci., 12, 541–546, <ext-link xlink:href="https://doi.org/10.1038/s41561-019-0384-9" ext-link-type="DOI">10.1038/s41561-019-0384-9</ext-link>, 2019.</mixed-citation></ref>
      <ref id="bib1.bibx42"><label>Duncan et al.(2016)Duncan, Bachewe, Mekonnen, Valbuena, Rachier, Lule, Bahta, and Erenstein</label><mixed-citation>Duncan, A. J., Bachewe, F., Mekonnen, K., Valbuena, D., Rachier, G., Lule, D., Bahta, M., and Erenstein, O.: Crop Residue Allocation to Livestock Feed, Soil Improvement and Other Uses along a Productivity Gradient in Eastern Africa, Ecosystems &amp; Environment, 228, 101–110, <ext-link xlink:href="https://doi.org/10.1016/j.agee.2016.05.011" ext-link-type="DOI">10.1016/j.agee.2016.05.011</ext-link>, 2016.</mixed-citation></ref>
      <ref id="bib1.bibx43"><label>Eufrade Junior et al.(2016)</label><mixed-citation>Eufrade Junior, H. J., de Melo, R. X., Sartori, M. M. P., Guerra, S. P. S., and Ballarin, A. W.: Sustainable Use of Eucalypt Biomass Grown on Short Rotation Coppice for Bioenergy, Biomass Bioenerg., 90, 15–21, <ext-link xlink:href="https://doi.org/10.1016/j.biombioe.2016.03.037" ext-link-type="DOI">10.1016/j.biombioe.2016.03.037</ext-link>, 2016.</mixed-citation></ref>
      <ref id="bib1.bibx44"><label>Fialho and Zinn(2014)</label><mixed-citation>Fialho, R. C. and Zinn, Y. L.: Changes in Soil Organic Carbon Under Eucalyptus Plantations in Brazil: A Comparative Analysis, Land Degrad. Dev., 25, 428–437, <ext-link xlink:href="https://doi.org/10.1002/ldr.2158" ext-link-type="DOI">10.1002/ldr.2158</ext-link>, 2014.</mixed-citation></ref>
      <ref id="bib1.bibx45"><label>Fiantis et al.(2019)Fiantis, Ginting, Gusnidar, Nelson, and Minasny</label><mixed-citation>Fiantis, D., Ginting, F. I., Gusnidar, Nelson, M., and Minasny, B.: Volcanic Ash, Insecurity for the People but Securing Fertile Soil for the Future, Sustainability, 11, 3072, <ext-link xlink:href="https://doi.org/10.3390/su11113072" ext-link-type="DOI">10.3390/su11113072</ext-link>, 2019.</mixed-citation></ref>
      <ref id="bib1.bibx46"><label>Fick and Hijmans(2017)</label><mixed-citation>Fick, S. E. and Hijmans, R. J.: WorldClim 2: New 1‐km Spatial Resolution Climate Surfaces for Global Land Areas, Int. J. Climatol., 37, 4302–4315, <ext-link xlink:href="https://doi.org/10.1002/joc.5086" ext-link-type="DOI">10.1002/joc.5086</ext-link>, 2017.</mixed-citation></ref>
      <ref id="bib1.bibx47"><label>Gachuruzi(1996)</label><mixed-citation>Gachuruzi, S. B.: The Impact of Refugees on the Environment: The Case of Rwandan Refugees in Kivu, Zaïre, 15, 24–26, <uri>https://www.jstor.org/stable/45411513</uri> (last access: 20 June 2024), 1996.</mixed-citation></ref>
      <ref id="bib1.bibx48"><label>Giller et al.(2009)Giller, Witter, Corbeels, and Tittonell</label><mixed-citation>Giller, K. E., Witter, E., Corbeels, M., and Tittonell, P.: Conservation Agriculture and Smallholder Farming in Africa: The Heretics' View, Field Crop. Res., 114, 23–34, <ext-link xlink:href="https://doi.org/10.1016/j.fcr.2009.06.017" ext-link-type="DOI">10.1016/j.fcr.2009.06.017</ext-link>, 2009.</mixed-citation></ref>
      <ref id="bib1.bibx49"><label>Guedes et al.(2016)Guedes, Olsson, and Karltun</label><mixed-citation>Guedes, B. S., Olsson, B. A., and Karltun, E.: Effects of 34-Year-Old Pinus Taeda and Eucalyptus Grandis Plantations on Soil Carbon and Nutrient Status in Former Miombo Forest Soils, Global Ecology and Conservation, 8, 190–202, <ext-link xlink:href="https://doi.org/10.1016/j.gecco.2016.09.005" ext-link-type="DOI">10.1016/j.gecco.2016.09.005</ext-link>, 2016.</mixed-citation></ref>
      <ref id="bib1.bibx50"><label>Guo and Gifford(2002)</label><mixed-citation>Guo, L. B. and Gifford, R. M.: Soil Carbon Stocks and Land Use Change: A Meta Analysis, Glob. Change Biol., 8, 345–360, <ext-link xlink:href="https://doi.org/10.1046/j.1354-1013.2002.00486.x" ext-link-type="DOI">10.1046/j.1354-1013.2002.00486.x</ext-link>, 2002.</mixed-citation></ref>
      <ref id="bib1.bibx51"><label>Hall and Thompson(2022)</label><mixed-citation>Hall, S. J. and Thompson, A.: What Do Relationships between Extractable Metals and Soil Organic Carbon Concentrations Mean?, Soil Sci. Soc. Am. J., 86, 195–208, <ext-link xlink:href="https://doi.org/10.1002/saj2.20343" ext-link-type="DOI">10.1002/saj2.20343</ext-link>, 2022.</mixed-citation></ref>
      <ref id="bib1.bibx52"><label>Hansen et al.(2013)Hansen, Potapov, Moore, Hancher, Turubanova, Tyukavina, Thau, Stehman, Goetz, Loveland, Kommareddy, Egorov, Chini, Justice, and Townshend</label><mixed-citation>Hansen, M. C., Potapov, P. V., Moore, R., Hancher, M., Turubanova, S. A., Tyukavina, A., Thau, D., Stehman, S. V., Goetz, S. J., Loveland, T. R., Kommareddy, A., Egorov, A., Chini, L., Justice, C. O., and Townshend, J. R. G.: High-Resolution Global Maps of 21st-Century Forest Cover Change, Science, 342, 850–853, <ext-link xlink:href="https://doi.org/10.1126/science.1244693" ext-link-type="DOI">10.1126/science.1244693</ext-link>, 2013.</mixed-citation></ref>
      <ref id="bib1.bibx53"><label>Harper et al.(2012)Harper, Okom, Stilwell, Tibbett, Dean, George, Sochacki, Mitchell, Mann, and Dods</label><mixed-citation>Harper, R. J., Okom, A. E. A., Stilwell, A. T., Tibbett, M., Dean, C., George, S. J., Sochacki, S. J., Mitchell, C. D., Mann, S. S., and Dods, K.: Reforesting Degraded Agricultural Landscapes with <italic>Eucalypts</italic>: Effects on Carbon Storage and Soil Fertility after 26 Years, Agriculture, Ecosystems &amp; Environment, 163, 3–13, <ext-link xlink:href="https://doi.org/10.1016/j.agee.2012.03.013" ext-link-type="DOI">10.1016/j.agee.2012.03.013</ext-link>, 2012.</mixed-citation></ref>
      <ref id="bib1.bibx54"><label>Hedin et al.(2003)Hedin, Vitousek, and Matson</label><mixed-citation>Hedin, L. O., Vitousek, P. M., and Matson, P. A.: Nutrient Losses Over Four Million Years of Tropical Forest Development, Ecology, 84, 2231–2255, <ext-link xlink:href="https://doi.org/10.1890/02-4066" ext-link-type="DOI">10.1890/02-4066</ext-link>, 2003.</mixed-citation></ref>
      <ref id="bib1.bibx55"><label>Hedley et al.(1982)Hedley, Stewart, and Chauhan</label><mixed-citation>Hedley, M. J., Stewart, J. W. B., and Chauhan, B. S.: Changes in Inorganic and Organic Soil Phosphorus Fractions Induced by Cultivation Practices and by Laboratory Incubations, Soil Sci. Soc. Am. J., 46, 970–976, <ext-link xlink:href="https://doi.org/10.2136/sssaj1982.03615995004600050017x" ext-link-type="DOI">10.2136/sssaj1982.03615995004600050017x</ext-link>, 1982.</mixed-citation></ref>
      <ref id="bib1.bibx56"><label>Hendershot and Duquette(1986)</label><mixed-citation>Hendershot, W. H. and Duquette, M.: A Simple Barium Chloride Method for Determining Cation Exchange Capacity and Exchangeable Cations,  Soil Sci. Soc. Am. J., 50, 605–608, <ext-link xlink:href="https://doi.org/10.2136/sssaj1986.03615995005000030013x" ext-link-type="DOI">10.2136/sssaj1986.03615995005000030013x</ext-link>, 1986.</mixed-citation></ref>
      <ref id="bib1.bibx57"><label>Heri-Kazi and Bielders(2021)</label><mixed-citation>Heri-Kazi, A. B. and Bielders, C. L.: Cropland Characteristics and Extent of Soil Loss by Rill and Gully Erosion in Smallholder Farms in the KIVU Highlands, D.R. Congo, Geoderma Regional, 26, e00404, <ext-link xlink:href="https://doi.org/10.1016/j.geodrs.2021.e00404" ext-link-type="DOI">10.1016/j.geodrs.2021.e00404</ext-link>, 2021.</mixed-citation></ref>
      <ref id="bib1.bibx58"><label>Hijmans(2024)</label><mixed-citation>Hijmans, R. J.: Terra: Spatial Data Analysis, R Package Version 1.7-74, <uri>https://rspatial.github.io/terra/</uri> (last access: 10 May 2026), 2024.</mixed-citation></ref>
      <ref id="bib1.bibx59"><label>Hijmans et al.(2024)Hijmans, Barbosa, Ghosh, and Mandel</label><mixed-citation>Hijmans, R. J., Barbosa, M., Ghosh, A., and Mandel, A.: Geodata: Download Geographic Data. R Package Version 0.5-9, CRAN [code], <uri>https://CRAN.R-project.org/package=geodata</uri> (last access: 10 May 2026), 2024.</mixed-citation></ref>
      <ref id="bib1.bibx60"><label>Hombegowda et al.(2016)</label><mixed-citation>Hombegowda, H. C., van Straaten, O., Köhler, M., and Hölscher, D.: On the rebound: soil organic carbon stocks can bounce back to near forest levels when agroforests replace agriculture in southern India, SOIL, 2, 13–23, <ext-link xlink:href="https://doi.org/10.5194/soil-2-13-2016" ext-link-type="DOI">10.5194/soil-2-13-2016</ext-link>, 2016.</mixed-citation></ref>
      <ref id="bib1.bibx61"><label>Jacobs et al.(2017)Jacobs, Dewitte, Poesen, Maes, Mertens, Sekajugo, and Kervyn</label><mixed-citation>Jacobs, L., Dewitte, O., Poesen, J., Maes, J., Mertens, K., Sekajugo, J., and Kervyn, M.: Landslide Characteristics and Spatial Distribution in the Rwenzori Mountains, Uganda, J. Afr. Earth Sci., 134, 917–930, <ext-link xlink:href="https://doi.org/10.1016/j.jafrearsci.2016.05.013" ext-link-type="DOI">10.1016/j.jafrearsci.2016.05.013</ext-link>, 2017.</mixed-citation></ref>
      <ref id="bib1.bibx62"><label>Jagadamma et al.(2010)Jagadamma, Lal, Ussiri, Trumbore, and Mestelan</label><mixed-citation>Jagadamma, S., Lal, R., Ussiri, D. A. N., Trumbore, S. E., and Mestelan, S.: Evaluation of Structural Chemistry and Isotopic Signatures of Refractory Soil Organic Carbon Fraction Isolated by Wet Oxidation Methods, Biogeochemistry, 98, 29–44, <ext-link xlink:href="https://doi.org/10.1007/s10533-009-9374-0" ext-link-type="DOI">10.1007/s10533-009-9374-0</ext-link>, 2010.</mixed-citation></ref>
      <ref id="bib1.bibx63"><label>Jagger and Pender(2003)</label><mixed-citation>Jagger, P. and Pender, J.: The Role of Trees for Sustainable Management of Less-Favored Lands: The Case of Eucalyptus in Ethiopia, Forest Policy Econ., 5, 83–95, <ext-link xlink:href="https://doi.org/10.1016/S1389-9341(01)00078-8" ext-link-type="DOI">10.1016/S1389-9341(01)00078-8</ext-link>, 2003.</mixed-citation></ref>
      <ref id="bib1.bibx64"><label>Jenny(1994)</label><mixed-citation> Jenny, H.: Factors of Soil Formation: A System of Quantitative Pedology, Dover Books on Earth Sciences, Dover Publ, unabridged, unaltered republ., new foreword edn., ISBN 978-0-486-68128-3, 1994.</mixed-citation></ref>
      <ref id="bib1.bibx65"><label>Jobbágy and Jackson(2003)</label><mixed-citation>Jobbágy, E. G. and Jackson, R. B.: Patterns and Mechanisms of Soil Acidification in the Conversion of Grasslands to Forests, Biogeochemistry, 64, 205–229, <ext-link xlink:href="https://doi.org/10.1023/A:1024985629259" ext-link-type="DOI">10.1023/A:1024985629259</ext-link>, 2003.</mixed-citation></ref>
      <ref id="bib1.bibx66"><label>Jones et al.(2013)Jones, Breuning-Madsen, Brossard, Dampha, Deckers, Dewitte, Hallett, Jones, Kilasara, Le Roux, Micheli, Montanarella, Spaargaren, Tahar, Thiombiano, Van Ranst, Yemefack, and Zougmore</label><mixed-citation>Jones, A., Breuning-Madsen, H., Brossard, M., Dampha, A., Deckers, J., Dewitte, O., Hallett, S., Jones, R., Kilasara, M., Le Roux, P., Micheli, E., Montanarella, L., Spaargaren, O., Tahar, G., Thiombiano, L., Van Ranst, E., Yemefack, M., and Zougmore, R.: Soil Atlas of Africa, European Commission, Publication Office of the European Union, ISBN 978-92-79-26715-4, <ext-link xlink:href="https://doi.org/10.2788/52319" ext-link-type="DOI">10.2788/52319</ext-link>, 2013.</mixed-citation></ref>
      <ref id="bib1.bibx67"><label>Kallenbach et al.(2016)Kallenbach, Frey, and Grandy</label><mixed-citation>Kallenbach, C. M., Frey, S. D., and Grandy, A. S.: Direct Evidence for Microbial-Derived Soil Organic Matter Formation and Its Ecophysiological Controls, Nat. Commun., 7, 13 630, <ext-link xlink:href="https://doi.org/10.1038/ncomms13630" ext-link-type="DOI">10.1038/ncomms13630</ext-link>, 2016.</mixed-citation></ref>
      <ref id="bib1.bibx68"><label>Kampunzu et al.(1998)Kampunzu, Bonhomme, and Kanika</label><mixed-citation>Kampunzu, A. B., Bonhomme, M. G., and Kanika, M.: Geochronology of Volcanic Rocks and Evolution of the Cenozoic Western Branch of the East African Rift System, J. Afr. Earth Sci., 26, 441–461, <ext-link xlink:href="https://doi.org/10.1016/S0899-5362(98)00025-6" ext-link-type="DOI">10.1016/S0899-5362(98)00025-6</ext-link>, 1998.</mixed-citation></ref>
      <ref id="bib1.bibx69"><label>Kangela Matazi et al.(2023)Kangela Matazi, Kany Luganda, and Mugisho Mukotanyi</label><mixed-citation>Kangela Matazi, A., Kany Luganda, E., and Mugisho Mukotanyi, S.: Does <italic>Eucalyptus</italic> Determine Agricultural Soil Quality?, Cogent Food &amp; Agriculture, 9, 2157115, <ext-link xlink:href="https://doi.org/10.1080/23311932.2022.2157115" ext-link-type="DOI">10.1080/23311932.2022.2157115</ext-link>, 2023.</mixed-citation></ref>
      <ref id="bib1.bibx70"><label>Karamage et al.(2016)Karamage, Shao, Chen, Ndayisaba, Nahayo, Kayiranga, Omifolaji, Liu, and Zhang</label><mixed-citation>Karamage, F., Shao, H., Chen, X., Ndayisaba, F., Nahayo, L., Kayiranga, A., Omifolaji, J. K., Liu, T., and Zhang, C.: Deforestation Effects on Soil Erosion in the Lake Kivu Basin, D.R. Congo-Rwanda, Forests, 7, 281, <ext-link xlink:href="https://doi.org/10.3390/f7110281" ext-link-type="DOI">10.3390/f7110281</ext-link>, 2016.</mixed-citation></ref>
      <ref id="bib1.bibx71"><label>Karamage et al.(2017)Karamage, Zhang, Liu, Maganda, and Isabwe</label><mixed-citation>Karamage, F., Zhang, C., Liu, T., Maganda, A., and Isabwe, A.: Soil Erosion Risk Assessment in Uganda, Forests, 8, 52, <ext-link xlink:href="https://doi.org/10.3390/f8020052" ext-link-type="DOI">10.3390/f8020052</ext-link>, 2017.</mixed-citation></ref>
      <ref id="bib1.bibx72"><label>Kennard and Stone(1969)</label><mixed-citation>Kennard, R. W. and Stone, L. A.: Computer Aided Design of Experiments, Technometrics, 11, 137–148, <ext-link xlink:href="https://doi.org/10.1080/00401706.1969.10490666" ext-link-type="DOI">10.1080/00401706.1969.10490666</ext-link>, 1969.</mixed-citation></ref>
      <ref id="bib1.bibx73"><label>Kirsten et al.(2021)Kirsten, Mikutta, Vogel, Thompson, Mueller, Kimaro, Bergsma, Feger, and Kalbitz</label><mixed-citation>Kirsten, M., Mikutta, R., Vogel, C., Thompson, A., Mueller, C. W., Kimaro, D. N., Bergsma, H. L. T., Feger, K.-H., and Kalbitz, K.: Iron Oxides and Aluminous Clays Selectively Control Soil Carbon Storage and Stability in the Humid Tropics, Scientific Reports, 11, 5076, <ext-link xlink:href="https://doi.org/10.1038/s41598-021-84777-7" ext-link-type="DOI">10.1038/s41598-021-84777-7</ext-link>, 2021.</mixed-citation></ref>
      <ref id="bib1.bibx74"><label>Klinge et al.(2004)Klinge, Araujo Martins, Mackensen, and Fölster</label><mixed-citation>Klinge, R., Araujo Martins, A., Mackensen, J., and Fölster, H.: Element Loss on Rain Forest Conversion in East Amazonia: Comparison of Balances of Stores and Fluxes, Biogeochemistry, 69, 63–82, <ext-link xlink:href="https://doi.org/10.1023/B:BIOG.0000031040.38388.9b" ext-link-type="DOI">10.1023/B:BIOG.0000031040.38388.9b</ext-link>, 2004.</mixed-citation></ref>
      <ref id="bib1.bibx75"><label>Kögel-Knabner et al.(2008)Kögel-Knabner, Guggenberger, Kleber, Kandeler, Kalbitz, Scheu, Eusterhues, and Leinweber</label><mixed-citation>Kögel-Knabner, I., Guggenberger, G., Kleber, M., Kandeler, E., Kalbitz, K., Scheu, S., Eusterhues, K., and Leinweber, P.: Organo-Mineral Associations in Temperate Soils: Integrating Biology, Mineralogy, and Organic Matter Chemistry, J. Plant Nutr. Soil Sc., 171, 61–82, <ext-link xlink:href="https://doi.org/10.1002/jpln.200700048" ext-link-type="DOI">10.1002/jpln.200700048</ext-link>, 2008.</mixed-citation></ref>
      <ref id="bib1.bibx76"><label>Komada et al.(2008)Komada, Anderson, and Dorfmeier</label><mixed-citation>Komada, T., Anderson, M. R., and Dorfmeier, C. L.: Carbonate Removal from Coastal Sediments for the Determination of Organic Carbon and Its Isotopic Signatures, <inline-formula><mml:math id="M524" display="inline"><mml:mrow><mml:msup><mml:mi mathvariant="italic">δ</mml:mi><mml:mn mathvariant="normal">13</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula>C and <inline-formula><mml:math id="M525" display="inline"><mml:mrow><mml:msup><mml:mi mathvariant="normal">Δ</mml:mi><mml:mn mathvariant="normal">14</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula>C: Comparison of Fumigation and Direct Acidification by Hydrochloric Acid, Limnol. Oceanogr.-Meth., 6, 254–262, <ext-link xlink:href="https://doi.org/10.4319/lom.2008.6.254" ext-link-type="DOI">10.4319/lom.2008.6.254</ext-link>, 2008.</mixed-citation></ref>
      <ref id="bib1.bibx77"><label>Korchagin et al.(2019)Korchagin, Bortoluzzi, Moterle, Petry, and Caner</label><mixed-citation>Korchagin, J., Bortoluzzi, E. C., Moterle, D. F., Petry, C., and Caner, L.: Evidences of Soil Geochemistry and Mineralogy Changes Caused by Eucalyptus Rhizosphere, CATENA, 175, 132–143, <ext-link xlink:href="https://doi.org/10.1016/j.catena.2018.12.001" ext-link-type="DOI">10.1016/j.catena.2018.12.001</ext-link>, 2019.</mixed-citation></ref>
      <ref id="bib1.bibx78"><label>Kulimushi et al.(2021)Kulimushi, Choudhari, Mubalama, and Banswe</label><mixed-citation>Kulimushi, L. C., Choudhari, P., Mubalama, L. K., and Banswe, G. T.: GIS and Remote Sensing-Based Assessment of Soil Erosion Risk Using RUSLE Model in South-Kivu Province, Eastern, Democratic Republic of Congo, Natural Hazards and Risk, 12, 961–987, <ext-link xlink:href="https://doi.org/10.1080/19475705.2021.1906759" ext-link-type="DOI">10.1080/19475705.2021.1906759</ext-link>, 2021.</mixed-citation></ref>
      <ref id="bib1.bibx79"><label>Kurniawan et al.(2018)</label><mixed-citation>Kurniawan, S., Corre, M. D., Matson, A. L., Schulte-Bisping, H., Utami, S. R., van Straaten, O., and Veldkamp, E.: Conversion of tropical forests to smallholder rubber and oil palm plantations impacts nutrient leaching losses and nutrient retention efficiency in highly weathered soils, Biogeosciences, 15, 5131–5154, <ext-link xlink:href="https://doi.org/10.5194/bg-15-5131-2018" ext-link-type="DOI">10.5194/bg-15-5131-2018</ext-link>, 2018.</mixed-citation></ref>
      <ref id="bib1.bibx80"><label>Laclau et al.(2003)Laclau, Ranger, Nzila, Bouillet, and Deleporte</label><mixed-citation>Laclau, J.-P., Ranger, J., Nzila, J. d. D., Bouillet, J.-P., and Deleporte, P.: Nutrient Cycling in a Clonal Stand of <italic>Eucalyptus</italic> and an Adjacent Savanna Ecosystem in Congo: 2. Chemical Composition of Soil Solutions, Forest Ecol. Manag., 180, 527–544, <ext-link xlink:href="https://doi.org/10.1016/S0378-1127(02)00645-X" ext-link-type="DOI">10.1016/S0378-1127(02)00645-X</ext-link>, 2003.</mixed-citation></ref>
      <ref id="bib1.bibx81"><label>Laclau et al.(2005)Laclau, Ranger, Deleporte, Nouvellon, Saint-André, Marlet, and Bouillet</label><mixed-citation>Laclau, J.-P., Ranger, J., Deleporte, P., Nouvellon, Y., Saint-André, L., Marlet, S., and Bouillet, J.-P.: Nutrient Cycling in a Clonal Stand of <italic>Eucalyptus</italic> and an Adjacent Savanna Ecosystem in Congo: 3. Input–Output Budgets and Consequences for the Sustainability of the Plantations, Forest Ecol. Manag., 210, 375–391, <ext-link xlink:href="https://doi.org/10.1016/j.foreco.2005.02.028" ext-link-type="DOI">10.1016/j.foreco.2005.02.028</ext-link>, 2005.</mixed-citation></ref>
      <ref id="bib1.bibx82"><label>Laganière et al.(2010)Laganière, Angers, and Paré</label><mixed-citation>Laganière, J., Angers, D. A., and Paré, D.: Carbon Accumulation in Agricultural Soils after Afforestation: A Meta-Analysis, Glob. Change Biol., 16, 439–453, <ext-link xlink:href="https://doi.org/10.1111/j.1365-2486.2009.01930.x" ext-link-type="DOI">10.1111/j.1365-2486.2009.01930.x</ext-link>, 2010.</mixed-citation></ref>
      <ref id="bib1.bibx83"><label>Laghmouch et al.(2018)Laghmouch, Kalikone, Ilombe Mawe, Ganza, Safari, Bachinyaga, Mugisho, Wazi, Nzolang, Delvaux, Dewaele, Fernandez, Mees, Nimpagaritse, Tack, and Kervyn</label><mixed-citation> Laghmouch, M., Kalikone, C., Ilombe Mawe, G., Ganza, G., Safari, E., Bachinyaga, J., Mugisho, E., Wazi, N. R., Nzolang, C., Delvaux, D., Dewaele, S., Fernandez, M., Mees, F., Nimpagaritse, G., Tack, L., and Kervyn, F.: Carte Géologique Du Kivu Au 1/500 000 (RD. CONGO), Musée Royal de l’Afrique Centrale, ISBN 978-94-92669-43-8, 2018.</mixed-citation></ref>
      <ref id="bib1.bibx84"><label>Lal(2015)</label><mixed-citation>Lal, R.: Restoring Soil Quality to Mitigate Soil Degradation, Sustainability, 7, 5875–5895, <ext-link xlink:href="https://doi.org/10.3390/su7055875" ext-link-type="DOI">10.3390/su7055875</ext-link>, 2015.</mixed-citation></ref>
      <ref id="bib1.bibx85"><label>Lambin et al.(2001)Lambin, Turner, Geist, Agbola, Angelsen, Bruce, Coomes, Dirzo, Fischer, Folke, George, Homewood, Imbernon, Leemans, Li, Moran, Mortimore, Ramakrishnan, Richards, Skånes, Steffen, Stone, Svedin, Veldkamp, Vogel, and Xu</label><mixed-citation>Lambin, E. F., Turner, B. L., Geist, H. J., Agbola, S. B., Angelsen, A., Bruce, J. W., Coomes, O. T., Dirzo, R., Fischer, G., Folke, C., George, P. S., Homewood, K., Imbernon, J., Leemans, R., Li, X., Moran, E. F., Mortimore, M., Ramakrishnan, P. S., Richards, J. F., Skånes, H., Steffen, W., Stone, G. D., Svedin, U., Veldkamp, T. A., Vogel, C., and Xu, J.: The Causes of Land-Use and Land-Cover Change: Moving beyond the Myths, Global Environ. Change, 11, 261–269, <ext-link xlink:href="https://doi.org/10.1016/S0959-3780(01)00007-3" ext-link-type="DOI">10.1016/S0959-3780(01)00007-3</ext-link>, 2001.</mixed-citation></ref>
      <ref id="bib1.bibx86"><label>Lavallee et al.(2020)Lavallee, Soong, and Cotrufo</label><mixed-citation>Lavallee, J. M., Soong, J. L., and Cotrufo, M. F.: Conceptualizing Soil Organic Matter into Particulate and Mineral-Associated Forms to Address Global Change in the 21st Century, Glob. Change Biol., 26, 261–273, <ext-link xlink:href="https://doi.org/10.1111/gcb.14859" ext-link-type="DOI">10.1111/gcb.14859</ext-link>, 2020.</mixed-citation></ref>
      <ref id="bib1.bibx87"><label>Lee et al.(2024)Lee, Dahali, Nik Hashim, Kusin, Mahmud, Kamarudin, Abdul Jalil, and Lubis</label><mixed-citation>Lee, S. H., Dahali, R., Nik Hashim, N. H., Kusin, M., Mahmud, S. Z., Kamarudin, N., Abdul Jalil, A. M., and Lubis, M. A. R.: Eucalyptus Plantation Worldwide, Its Hybridization and Cloning Development, in: Eucalyptus: Engineered Wood Products and Other Applications, edited by Lee, S. H., Lum, W. C., Antov, P., Kristak, L., Rahandi Lubis, M. A., and Fatriasari, W.,  Springer Nature, 1–15, ISBN 978-981-99-7919-6, <ext-link xlink:href="https://doi.org/10.1007/978-981-99-7919-6_1" ext-link-type="DOI">10.1007/978-981-99-7919-6_1</ext-link>, 2024.</mixed-citation></ref>
      <ref id="bib1.bibx88"><label>Leite et al.(2010)</label><mixed-citation>Leite, F. P., Silva, I. R., Novais, R. F., de Barros, N. F., and Neves, J. C. L.: Alterations of Soil Chemical Properties by Eucalyptus Cultivation in Five Regions in the Rio Doce Valley, Rev. Bras. Ciênc. Solo, 34, 821–831, <ext-link xlink:href="https://doi.org/10.1590/S0100-06832010000300024" ext-link-type="DOI">10.1590/S0100-06832010000300024</ext-link>, 2010.</mixed-citation></ref>
      <ref id="bib1.bibx89"><label>Lejeune et al.(2013)Lejeune, Ansay, Van Geit, and Lusenge</label><mixed-citation>Lejeune, G., Ansay, F., Van Geit, M., and Lusenge, T.: ECOmakala: Répondre à La Demande Énergétique Pour Protéger Les Forêts Du Parc National Des Virunga Au Nord-Kivu (RDC) et Lutter Contre La Pauvreté, Tech. rep., World Wide Fund for Nature, Bruxelles, Belgium, <uri>https://wwfafrica.awsassets.panda.org/downloads/brochure_wwf_ecomakala_fr2.pdf?25762/ECOmakala</uri> (last access: 20 June 2024), 2013.</mixed-citation></ref>
      <ref id="bib1.bibx90"><label>Lemenih et al.(2004)Lemenih, Olsson, and Karltun</label><mixed-citation>Lemenih, M., Olsson, M., and Karltun, E.: Comparison of Soil Attributes under <italic>Cupressus lusitanica</italic> and <italic>Eucalyptus saligna</italic> Established on Abandoned Farmlands with Continuously Cropped Farmlands and Natural Forest in Ethiopia, Forest Ecol. Manag., 195, 57–67, <ext-link xlink:href="https://doi.org/10.1016/j.foreco.2004.02.055" ext-link-type="DOI">10.1016/j.foreco.2004.02.055</ext-link>, 2004.</mixed-citation></ref>
      <ref id="bib1.bibx91"><label>Lewis and Nyamulinda(1996)</label><mixed-citation>Lewis, L. A. and Nyamulinda, V.: The Critical Role of Human Activities in Land Degradation in Rwanda, Land Degrad. Dev., 7, 47–55, <ext-link xlink:href="https://doi.org/10.1002/(SICI)1099-145X(199603)7:1&lt;47::AID-LDR213&gt;3.0.CO;2-M" ext-link-type="DOI">10.1002/(SICI)1099-145X(199603)7:1&lt;47::AID-LDR213&gt;3.0.CO;2-M</ext-link>, 1996.</mixed-citation></ref>
      <ref id="bib1.bibx92"><label>Lima et al.(2006)Lima, Silva, Neves, Novais, Barros, Mendonça, Smyth, Moreira, and Leite</label><mixed-citation>Lima, A. M. N., Silva, I. R., Neves, J. C. L., Novais, R. F., Barros, N. F., Mendonça, E. S., Smyth, T. J., Moreira, M. S., and Leite, F. P.: Soil Organic Carbon Dynamics Following Afforestation of Degraded Pastures with Eucalyptus in Southeastern Brazil, Forest Ecol. Manag., 235, 219–231, <ext-link xlink:href="https://doi.org/10.1016/j.foreco.2006.08.331" ext-link-type="DOI">10.1016/j.foreco.2006.08.331</ext-link>, 2006.</mixed-citation></ref>
      <ref id="bib1.bibx93"><label>Link et al.(2010)Link, Koehn, Barth, Tiberindwa, Barifaijo, Aanyu, and Foley</label><mixed-citation>Link, K., Koehn, D., Barth, M. G., Tiberindwa, J. V., Barifaijo, E., Aanyu, K., and Foley, S. F.: Continuous Cratonic Crust between the Congo and Tanzania Blocks in Western Uganda, Int. J. Earth Sci., 99, 1559–1573, <ext-link xlink:href="https://doi.org/10.1007/s00531-010-0548-8" ext-link-type="DOI">10.1007/s00531-010-0548-8</ext-link>, 2010.</mixed-citation></ref>
      <ref id="bib1.bibx94"><label>Majaliwa et al.(2010)Majaliwa, Twongyirwe, Nyenje, Oluka, Ongom, Sirike, Mfitumukiza, Azanga, Natumanya, Mwerera, and Barasa</label><mixed-citation>Majaliwa, J. G. M., Twongyirwe, R., Nyenje, R., Oluka, M., Ongom, B., Sirike, J., Mfitumukiza, D., Azanga, E., Natumanya, R., Mwerera, R., and Barasa, B.: The Effect of Land Cover Change on Soil Properties around Kibale National Park in South Western Uganda, Applied and Environmental Soil Science, 2010, e185689, <ext-link xlink:href="https://doi.org/10.1155/2010/185689" ext-link-type="DOI">10.1155/2010/185689</ext-link>, 2010.</mixed-citation></ref>
      <ref id="bib1.bibx95"><label>Maki Mateso et al.(2023)Maki Mateso, Bielders, Monsieurs, Depicker, Smets, Tambala, Bagalwa Mateso, and Dewitte</label><mixed-citation>Maki Mateso, J.-C., Bielders, C. L., Monsieurs, E., Depicker, A., Smets, B., Tambala, T., Bagalwa Mateso, L., and Dewitte, O.: Characteristics and causes of natural and human-induced landslides in a tropical mountainous region: the rift flank west of Lake Kivu (Democratic Republic of the Congo), Nat. Hazards Earth Syst. Sci., 23, 643–666, <ext-link xlink:href="https://doi.org/10.5194/nhess-23-643-2023" ext-link-type="DOI">10.5194/nhess-23-643-2023</ext-link>, 2023.</mixed-citation></ref>
      <ref id="bib1.bibx96"><label>Mallen-Cooper et al.(2022)Mallen-Cooper, Atkinson, Xirocostas, Wijas, Chiarenza, Dadzie, and Eldridge</label><mixed-citation>Mallen-Cooper, M., Atkinson, J., Xirocostas, Z. A., Wijas, B., Chiarenza, G. M., Dadzie, F. A., and Eldridge, D. J.: Global Synthesis Reveals Strong Multifaceted Effects of Eucalypts on Soils, Global Ecol. Biogeogr., 31, 1667–1678, <ext-link xlink:href="https://doi.org/10.1111/geb.13522" ext-link-type="DOI">10.1111/geb.13522</ext-link>, 2022.</mixed-citation></ref>
      <ref id="bib1.bibx97"><label>Markewitz et al.(2004)Markewitz, Davidson, Moutinho, and Nepstad</label><mixed-citation>Markewitz, D., Davidson, E., Moutinho, P., and Nepstad, D.: Nutrient Loss and Redistribution After Forest Clearing on a Highly Weathered Soil in Amazonia, Ecol. Appl., 14, 177–199, <ext-link xlink:href="https://doi.org/10.1890/01-6016" ext-link-type="DOI">10.1890/01-6016</ext-link>, 2004.</mixed-citation></ref>
      <ref id="bib1.bibx98"><label>Marín-Spiotta and Sharma(2013)</label><mixed-citation>Marín-Spiotta, E. and Sharma, S.: Carbon Storage in Successional and Plantation Forest Soils: A Tropical Analysis, Global Ecol. Biogeogr., 22, 105–117, <ext-link xlink:href="https://doi.org/10.1111/j.1466-8238.2012.00788.x" ext-link-type="DOI">10.1111/j.1466-8238.2012.00788.x</ext-link>, 2013.</mixed-citation></ref>
      <ref id="bib1.bibx99"><label>May-Tobin et al.(2011)May-Tobin, Boucher, Elias, Lininger, Roquemore, and Saxon</label><mixed-citation>May-Tobin, C., Boucher, D., Elias, P., Lininger, K., Roquemore, S., and Saxon, E.: Wood for Fuel, Tech. rep., Union of Concerned Scientists, <uri>https://www.jstor.org/stable/resrep00075.14</uri> (last access: 20 June 2024), 2011.</mixed-citation></ref>
      <ref id="bib1.bibx100"><label>McLean(1965)</label><mixed-citation>McLean, E. O.: Aluminum, in: Methods of Soil Analysis, pp. 978–998, John Wiley &amp; Sons, Ltd, ISBN 978-0-89118-204-7, <ext-link xlink:href="https://doi.org/10.2134/agronmonogr9.2.c16" ext-link-type="DOI">10.2134/agronmonogr9.2.c16</ext-link>, 1965.</mixed-citation></ref>
      <ref id="bib1.bibx101"><label>Melkebeke(2020)</label><mixed-citation> Melkebeke, S. V.: Dissimilar Coffee Frontiers: Mobilizing Labor and Land in the Lake Kivu Region, Congo and Rwanda (1918-1960/62), African History ; 9, BRILL, ISBN 90-04-42849-6, 2020.</mixed-citation></ref>
      <ref id="bib1.bibx102"><label>Mikutta and Kaiser(2011)</label><mixed-citation>Mikutta, R. and Kaiser, K.: Organic Matter Bound to Mineral Surfaces: Resistance to Chemical and Biological Oxidation, Soil Biol. Biochem., 43, 1738–1741, <ext-link xlink:href="https://doi.org/10.1016/j.soilbio.2011.04.012" ext-link-type="DOI">10.1016/j.soilbio.2011.04.012</ext-link>, 2011.</mixed-citation></ref>
      <ref id="bib1.bibx103"><label>Moebius-Clune et al.(2011)</label><mixed-citation>Moebius-Clune, B. N., van Es, H. M., Idowu, O. J., Schindelbeck, R. R., Kimetu, J. M., Ngoze, S., Lehmann, J., and Kinyangi, J. M.: Long-Term Soil Quality Degradation along a Cultivation Chronosequence in Western Kenya, Ecosystems &amp; Environment, 141, 86–99, <ext-link xlink:href="https://doi.org/10.1016/j.agee.2011.02.018" ext-link-type="DOI">10.1016/j.agee.2011.02.018</ext-link>, 2011.</mixed-citation></ref>
      <ref id="bib1.bibx104"><label>Muchena et al.(2005)</label><mixed-citation>Muchena, F. N., Onduru, D. D., Gachini, G. N., and de Jager, A.: Turning the Tides of Soil Degradation in Africa: Capturing the Reality and Exploring Opportunities, Land Use Policy,  22, 23–31, <ext-link xlink:href="https://doi.org/10.1016/j.landusepol.2003.07.001" ext-link-type="DOI">10.1016/j.landusepol.2003.07.001</ext-link>, 2005.</mixed-citation></ref>
      <ref id="bib1.bibx105"><label>Mutegeza Mushitwala(2020)</label><mixed-citation> Mutegeza Mushitwala, D.: Rapport Bi-Annuel 2018–2019, Tech. rep., Inspection Provinciale De l’agriculture du Sud-Kivu, South Kivu, Democratic Republic of Congo, 2020.</mixed-citation></ref>
      <ref id="bib1.bibx106"><label>Namirembe et al.(2020)</label><mixed-citation>Namirembe, S., Piikki, K., Sommer, R., Söderström, M., Tessema, B., and Nyawira, S.: Soil Organic Carbon in Agricultural Systems of Six Countries in East Africa – a Literature Review of Status and Carbon Sequestration Potential, South African Journal of Plant and Soil, 37, 35–49, <ext-link xlink:href="https://doi.org/10.1080/02571862.2019.1640296" ext-link-type="DOI">10.1080/02571862.2019.1640296</ext-link>, 2020.</mixed-citation></ref>
      <ref id="bib1.bibx107"><label>Nepstad et al.(1994)</label><mixed-citation>Nepstad, D. C., de Carvalho, C. R., Davidson, E. A., Jipp, P. H., Lefebvre, P. A., Negreiros, G. H., da Silva, E. D., Stone, T. A., Trumbore, S. E., and Vieira, S.: The Role of Deep Roots in the Hydrological and Carbon Cycles of Amazonian Forests and Pastures, Nature, 372, 666–669, <ext-link xlink:href="https://doi.org/10.1038/372666a0" ext-link-type="DOI">10.1038/372666a0</ext-link>, 1994.</mixed-citation></ref>
      <ref id="bib1.bibx108"><label>Newbury(2010)</label><mixed-citation> Newbury, D. S.: Kings and Clans: Ijwi Island and the Lake Kivu Rift, 1780–1840, in: Kings and Clans Ijwi Island and the Lake Kivu Rift, 1780–1840, WISEdition, University of Wisconsin Press, ISBN 0-299-12894-6, 2010.</mixed-citation></ref>
      <ref id="bib1.bibx109"><label>Ng et al.(2022)Ng, Minasny, Jeon, and McBratney</label><mixed-citation>Ng, W., Minasny, B., Jeon, S. H., and McBratney, A.: Mid-Infrared Spectroscopy for Accurate Measurement of an Extensive Set of Soil Properties for Assessing Soil Functions, Soil Security, 6, 100043, <ext-link xlink:href="https://doi.org/10.1016/j.soisec.2022.100043" ext-link-type="DOI">10.1016/j.soisec.2022.100043</ext-link>, 2022.</mixed-citation></ref>
      <ref id="bib1.bibx110"><label>Ngoze et al.(2008)Ngoze, Riha, Lehmann, Verchot, Kinyangi, Mbugua, and Pell</label><mixed-citation>Ngoze, S., Riha, S., Lehmann, J., Verchot, L., Kinyangi, J., Mbugua, D., and Pell, A.: Nutrient Constraints to Tropical Agroecosystem Productivity in Long-Term Degrading Soils, Glob. Change Biol., 14, 2810–2822, <ext-link xlink:href="https://doi.org/10.1111/j.1365-2486.2008.01698.x" ext-link-type="DOI">10.1111/j.1365-2486.2008.01698.x</ext-link>, 2008.</mixed-citation></ref>
      <ref id="bib1.bibx111"><label>Nye and Greenland(1964)</label><mixed-citation>Nye, P. H. and Greenland, D. J.: Changes in the Soil after Clearing Tropical Forest, Plant Soil, 21, 101–112, <ext-link xlink:href="https://doi.org/10.1007/BF01373877" ext-link-type="DOI">10.1007/BF01373877</ext-link>, 1964.</mixed-citation></ref>
      <ref id="bib1.bibx112"><label>Odeh et al.(2003)Odeh, Todd, and Triantafilis</label><mixed-citation>Odeh, I. O. A., Todd, A. J., and Triantafilis, J.: Spatial Prediction of Soil Particle-size Fractions as Compositional Data, Soil Sci., 168, 501, <ext-link xlink:href="https://doi.org/10.1097/01.ss.0000080335.10341.23" ext-link-type="DOI">10.1097/01.ss.0000080335.10341.23</ext-link>, 2003.</mixed-citation></ref>
      <ref id="bib1.bibx113"><label>Paul et al.(2008)Paul, Flessa, Veldkamp, and López-Ulloa</label><mixed-citation>Paul, S., Flessa, H., Veldkamp, E., and López-Ulloa, M.: Stabilization of Recent Soil Carbon in the Humid Tropics Following Land Use Changes: Evidence from Aggregate Fractionation and Stable Isotope Analyses, Biogeochemistry, 87, 247–263, <ext-link xlink:href="https://doi.org/10.1007/s10533-008-9182-y" ext-link-type="DOI">10.1007/s10533-008-9182-y</ext-link>, 2008.</mixed-citation></ref>
      <ref id="bib1.bibx114"><label>Pauwels et al.(1992)Pauwels, Van Ranst, and Verloo</label><mixed-citation>Pauwels, J. M., Van Ranst, E., and Verloo, M.: Manuel de Laboratoire de Pédologie: Méthodes d'analyse de Sols et de Plantes, Équipement, Gestion de Stocks de Verrerie et de Produits Chimiques, no. 28 in AGCD. Publications Agricoles, Centre universitaire de Dschang. Département des sciences du sol, <uri>http://hdl.handle.net/1854/LU-223183</uri> (last access: 20 June 2024), 1992.</mixed-citation></ref>
      <ref id="bib1.bibx115"><label>Posit team(2023)</label><mixed-citation>Posit team: RStudio: Integrated Development Environment for R, R, Tech. rep., Posit Software, PBC, <uri>http://www.posit.co/</uri> (last access: 10 May 2026), 2023.</mixed-citation></ref>
      <ref id="bib1.bibx116"><label>Pouclet and Bram(2021)</label><mixed-citation>Pouclet, A. and Bram, K.: Nyiragongo and Nyamuragira: A Review of Volcanic Activity in the Kivu Rift, Western Branch of the East African Rift System, B. Volcanol., 83, 10, <ext-link xlink:href="https://doi.org/10.1007/s00445-021-01435-6" ext-link-type="DOI">10.1007/s00445-021-01435-6</ext-link>, 2021.</mixed-citation></ref>
      <ref id="bib1.bibx117"><label>Pouclet et al.(2016)Pouclet, Bellon, and Bram</label><mixed-citation>Pouclet, A., Bellon, H., and Bram, K.: The Cenozoic Volcanism in the Kivu Rift: Assessment of the Tectonic Setting, Geochemistry, and Geochronology of the Volcanic Activity in the South-Kivu and Virunga Regions, J. Afr. Earth Sci., 121, 219–246, <ext-link xlink:href="https://doi.org/10.1016/j.jafrearsci.2016.05.026" ext-link-type="DOI">10.1016/j.jafrearsci.2016.05.026</ext-link>, 2016.</mixed-citation></ref>
      <ref id="bib1.bibx118"><label>Powers et al.(2011)Powers, Corre, Twine, and Veldkamp</label><mixed-citation>Powers, J. S., Corre, M. D., Twine, T. E., and Veldkamp, E.: Geographic Bias of Field Observations of Soil Carbon Stocks with Tropical Land-Use Changes Precludes Spatial Extrapolation, P. Natl. Acad. Sci. USA, 108, 6318–6322, <ext-link xlink:href="https://doi.org/10.1073/pnas.1016774108" ext-link-type="DOI">10.1073/pnas.1016774108</ext-link>, 2011.</mixed-citation></ref>
      <ref id="bib1.bibx119"><label>Prosser et al.(1993)Prosser, Hailes, Melville, Avery, and Slade</label><mixed-citation>Prosser, I. P., Hailes, K. J., Melville, M. D., Avery, R. P., and Slade, C. J.: A Comparison of Soil Acidification and Aluminum under Eucalyptus Forest and Unimproved Pasture, Soil Res., 31, 245–254, <ext-link xlink:href="https://doi.org/10.1071/sr9930245" ext-link-type="DOI">10.1071/sr9930245</ext-link>, 1993.</mixed-citation></ref>
      <ref id="bib1.bibx120"><label>Quesada et al.(2020)Quesada, Paz, Oblitas Mendoza, Phillips, Saiz, and Lloyd</label><mixed-citation>Quesada, C. A., Paz, C., Oblitas Mendoza, E., Phillips, O. L., Saiz, G., and Lloyd, J.: Variations in soil chemical and physical properties explain basin-wide Amazon forest soil carbon concentrations, SOIL, 6, 53–88, <ext-link xlink:href="https://doi.org/10.5194/soil-6-53-2020" ext-link-type="DOI">10.5194/soil-6-53-2020</ext-link>, 2020.</mixed-citation></ref>
      <ref id="bib1.bibx121"><label>R Core Team(2023)</label><mixed-citation>R Core Team: R: A Language and Environment for Statistical Computing, <uri>https://www.R-project.org/</uri> (last access: 10 May 2026), 2023.</mixed-citation></ref>
      <ref id="bib1.bibx122"><label>Ramirez‐Lopez et al.(2019)Ramirez‐Lopez, Wadoux, Franceschini, Terra, Marques, Sayão, and Demattê</label><mixed-citation>Ramirez‐Lopez, L., Wadoux, A. M. J., Franceschini, M. H. D., Terra, F. S., Marques, K. P. P., Sayão, V. M., and Demattê, J. A. M.: Robust Soil Mapping at the Farm Scale with Vis–NIR Spectroscopy, 70, 378–393, <ext-link xlink:href="https://doi.org/10.1111/ejss.12752" ext-link-type="DOI">10.1111/ejss.12752</ext-link>, 2019.</mixed-citation></ref>
      <ref id="bib1.bibx123"><label>Ramirez-Lopez et al.(2024)Ramirez-Lopez, Stevens, Orellano, Viscarra Rossel, Shen, Wadoux, and Breure</label><mixed-citation>Ramirez-Lopez, L., Stevens, A., Orellano, C., Viscarra Rossel, R., Shen, Z., Wadoux, A., and Breure, T.: Resemble: Regression and Similarity Evaluation for Memory-Based Learning in Spectral Chemometrics, R Package Version 2.2.3, <uri>https://CRAN.R-project.org/package=resemble</uri>, last access: 3 April 2024.</mixed-citation></ref>
      <ref id="bib1.bibx124"><label>Rasmussen et al.(2018)Rasmussen, Heckman, Wieder, Keiluweit, Lawrence, Berhe, Blankinship, Crow, Druhan, Hicks Pries, Marin-Spiotta, Plante, Schädel, Schimel, Sierra, Thompson, and Wagai</label><mixed-citation>Rasmussen, C., Heckman, K., Wieder, W. R., Keiluweit, M., Lawrence, C. R., Berhe, A. A., Blankinship, J. C., Crow, S. E., Druhan, J. L., Hicks Pries, C. E., Marin-Spiotta, E., Plante, A. F., Schädel, C., Schimel, J. P., Sierra, C. A., Thompson, A., and Wagai, R.: Beyond Clay: Towards an Improved Set of Variables for Predicting Soil Organic Matter Content, Biogeochemistry, 137, 297–306, <ext-link xlink:href="https://doi.org/10.1007/s10533-018-0424-3" ext-link-type="DOI">10.1007/s10533-018-0424-3</ext-link>, 2018.</mixed-citation></ref>
      <ref id="bib1.bibx125"><label>Reichenbach et al.(2021)Reichenbach, Fiener, Garland, Griepentrog, Six, and Doetterl</label><mixed-citation>Reichenbach, M., Fiener, P., Garland, G., Griepentrog, M., Six, J., and Doetterl, S.: The role of geochemistry in organic carbon stabilization against microbial decomposition in tropical rainforest soils, SOIL, 7, 453–475, <ext-link xlink:href="https://doi.org/10.5194/soil-7-453-2021" ext-link-type="DOI">10.5194/soil-7-453-2021</ext-link>, 2021.</mixed-citation></ref>
      <ref id="bib1.bibx126"><label>Reichenbach et al.(2023)Reichenbach, Fiener, Hoyt, Trumbore, Six, and Doetterl</label><mixed-citation>Reichenbach, M., Fiener, P., Hoyt, A., Trumbore, S., Six, J., and Doetterl, S.: Soil Carbon Stocks in Stable Tropical Landforms Are Dominated by Geochemical Controls and Not by Land Use, Glob. Change Biol., 29, 2591–2607, <ext-link xlink:href="https://doi.org/10.1111/gcb.16622" ext-link-type="DOI">10.1111/gcb.16622</ext-link>, 2023.</mixed-citation></ref>
      <ref id="bib1.bibx127"><label>Roose and Barthès(2001)</label><mixed-citation>Roose, E. and Barthès, B.: Organic Matter Management for Soil Conservation and Productivity Restoration in Africa: A Contribution from Francophone Research, Nutr. Cycl. Agroecosys., 61, 159–170, <ext-link xlink:href="https://doi.org/10.1023/A:1013349731671" ext-link-type="DOI">10.1023/A:1013349731671</ext-link>, 2001.</mixed-citation></ref>
      <ref id="bib1.bibx128"><label>Rudel et al.(2009)Rudel, Defries, Asner, and Laurance</label><mixed-citation>Rudel, T. K., Defries, R., Asner, G. P., and Laurance, W. F.: Changing Drivers of Deforestation and New Opportunities for Conservation, Conserv. Biol., 23, 1396–1405, <ext-link xlink:href="https://doi.org/10.1111/j.1523-1739.2009.01332.x" ext-link-type="DOI">10.1111/j.1523-1739.2009.01332.x</ext-link>, 2009.</mixed-citation></ref>
      <ref id="bib1.bibx129"><label>Ruff et al.(2007)Ruff, Wacker, Gäggeler, Suter, Synal, and Szidat</label><mixed-citation>Ruff, M., Wacker, L., Gäggeler, H. W., Suter, M., Synal, H.-A., and Szidat, S.: A Gas Ion Source for Radiocarbon Measurements at 200 kV, Radiocarbon, 49, 307–314, <ext-link xlink:href="https://doi.org/10.1017/S0033822200042235" ext-link-type="DOI">10.1017/S0033822200042235</ext-link>, 2007.</mixed-citation></ref>
      <ref id="bib1.bibx130"><label>Sanchez and Logan(1992)</label><mixed-citation>Sanchez, P. A. and Logan, T. J.: Myths and Science about the Chemistry and Fertility of Soils in the Tropics, in: Myths and Science of Soils of the Tropics,  John Wiley &amp; Sons, Ltd, 35–46, ISBN 978-0-89118-924-4, <ext-link xlink:href="https://doi.org/10.2136/sssaspecpub29.c3" ext-link-type="DOI">10.2136/sssaspecpub29.c3</ext-link>, 1992.</mixed-citation></ref>
      <ref id="bib1.bibx131"><label>Sanderman et al.(2020)Sanderman, Savage, and Dangal</label><mixed-citation>Sanderman, J., Savage, K., and Dangal, S. R.: Mid‐infrared Spectroscopy for Prediction of Soil Health Indicators in the United States, Soil Sci. Soc. Am. J., 84, 251–261, <ext-link xlink:href="https://doi.org/10.1002/saj2.20009" ext-link-type="DOI">10.1002/saj2.20009</ext-link>, 2020.</mixed-citation></ref>
      <ref id="bib1.bibx132"><label>Six et al.(2002.)Six, Feller, Denef, Ogle, De Moraes, and Albrecht</label><mixed-citation>Six, J., Feller, C., Denef, K., Ogle, S. M., De Moraes, J. C., and Albrecht, A.: Soil Organic Matter, Biota and Aggregation in Temperateand Tropical Soils – Effects of No-Tillage, Agronomie, 22, 755–775, <ext-link xlink:href="https://doi.org/10.1051/agro:2002043" ext-link-type="DOI">10.1051/agro:2002043</ext-link>, 2002.</mixed-citation></ref>
      <ref id="bib1.bibx133"><label>Soares and Alleoni(2008)</label><mixed-citation>Soares, M. R. and Alleoni, L. R. F.: Contribution of Soil Organic Carbon to the Ion Exchange Capacity of Tropical Soils, J. Sustain. Agr., 32, 439–462, <ext-link xlink:href="https://doi.org/10.1080/10440040802257348" ext-link-type="DOI">10.1080/10440040802257348</ext-link>, 2008.</mixed-citation></ref>
      <ref id="bib1.bibx134"><label>Souza et al.(2017)Souza, Almeida, Jesus, Kleber, and Silva</label><mixed-citation>Souza, I. F., Almeida, L. F. J., Jesus, G. L., Kleber, M., and Silva, I. R.: The Mechanisms of Organic Carbon Protection and Dynamics of C-saturation in Oxisols Vary with Particle-Size Distribution, Eur. J. Soil Sci., 68, 726–739, <ext-link xlink:href="https://doi.org/10.1111/ejss.12463" ext-link-type="DOI">10.1111/ejss.12463</ext-link>, 2017.</mixed-citation></ref>
      <ref id="bib1.bibx135"><label>Sparks et al.(2022)Sparks, Singh, and Siebecker</label><mixed-citation> Sparks, D. L., Singh, B., and Siebecker, M. G.: Environmental Soil Chemistry, Elsevier, ISBN 978-0-443-14035-8, 2022.</mixed-citation></ref>
      <ref id="bib1.bibx136"><label>Stallard(1998)</label><mixed-citation>Stallard, R. F.: Terrestrial Sedimentation and the Carbon Cycle: Coupling Weathering and Erosion to Carbon Burial, Glob. Biogeochemical Cy., 12, 231–257, <ext-link xlink:href="https://doi.org/10.1029/98GB00741" ext-link-type="DOI">10.1029/98GB00741</ext-link>, 1998.</mixed-citation></ref>
      <ref id="bib1.bibx137"><label>Stevens and Ramirez-Lopez(2024)</label><mixed-citation>Stevens, A. and Ramirez-Lopez, L.: An Introduction to the Prospectr Package. R Package Version 0.2.7, GitHub [code], <uri>https://github.com/l-ramirez-lopez/prospectr</uri>, last access: 3 April 2024.</mixed-citation></ref>
      <ref id="bib1.bibx138"><label>Stoner et al.(2023)Stoner, Trumbore, González-Pérez, Schrumpf, Sierra, Hoyt, Chadwick, and Doetterl</label><mixed-citation>Stoner, S., Trumbore, S. E., González-Pérez, J. A., Schrumpf, M., Sierra, C. A., Hoyt, A. M., Chadwick, O., and Doetterl, S.: Relating Mineral–Organic Matter Stabilization Mechanisms to Carbon Quality and Age Distributions Using Ramped Thermal Analysis, Philos. T. R. Soc. A, 381, 20230139, <ext-link xlink:href="https://doi.org/10.1098/rsta.2023.0139" ext-link-type="DOI">10.1098/rsta.2023.0139</ext-link>, 2023.</mixed-citation></ref>
      <ref id="bib1.bibx139"><label>Stucki et al.(1987)Stucki, Goodman, and Schwertmann</label><mixed-citation>Stucki, J. W., Goodman, B. A., and Schwertmann, U., eds.: Iron in Soils and Clay Minerals, Springer Netherlands, ISBN 978-94-010-8278-5 978-94-009-4007-9, <ext-link xlink:href="https://doi.org/10.1007/978-94-009-4007-9" ext-link-type="DOI">10.1007/978-94-009-4007-9</ext-link>, 1987.</mixed-citation></ref>
      <ref id="bib1.bibx140"><label>Stuiver and Polach(1977)</label><mixed-citation>Stuiver, M. and Polach, H. A.: Discussion Reporting of <sup>14</sup>C Data, Radiocarbon, 19, 355–363, <ext-link xlink:href="https://doi.org/10.1017/S0033822200003672" ext-link-type="DOI">10.1017/S0033822200003672</ext-link>, 1977.</mixed-citation></ref>
      <ref id="bib1.bibx141"><label>Summerauer(2026)</label><mixed-citation>Summerauer, L.: laura-summerauer/soildeg-easternafrica-publication: final submission (v.1), Zenodo [code and data set], <ext-link xlink:href="https://doi.org/10.5281/zenodo.20326820" ext-link-type="DOI">10.5281/zenodo.20326820</ext-link>, 2026.</mixed-citation></ref>
      <ref id="bib1.bibx142"><label>Summerauer et al.(2021)Summerauer, Baumann, Ramirez-Lopez, Barthel, Bauters, Bukombe, Reichenbach, Boeckx, Kearsley, Van Oost, Vanlauwe, Chiragaga, Heri-Kazi, Moonen, Sila, Shepherd, Bazirake Mujinya, Van Ranst, Baert, Doetterl, and Six</label><mixed-citation>Summerauer, L., Baumann, P., Ramirez-Lopez, L., Barthel, M., Bauters, M., Bukombe, B., Reichenbach, M., Boeckx, P., Kearsley, E., Van Oost, K., Vanlauwe, B., Chiragaga, D., Heri-Kazi, A. B., Moonen, P., Sila, A., Shepherd, K., Bazirake Mujinya, B., Van Ranst, E., Baert, G., Doetterl, S., and Six, J.: The central African soil spectral library: a new soil infrared repository and a geographical prediction analysis, SOIL, 7, 693–715, <ext-link xlink:href="https://doi.org/10.5194/soil-7-693-2021" ext-link-type="DOI">10.5194/soil-7-693-2021</ext-link>, 2021.</mixed-citation></ref>
      <ref id="bib1.bibx143"><label>Tererai et al.(2015)Tererai, Gaertner, Jacobs, and Richardson</label><mixed-citation>Tererai, F., Gaertner, M., Jacobs, S. M., and Richardson, D. M.: Eucalyptus Camaldulensis Invasion in Riparian Zones Reveals Few Significant Effects on Soil Physico-Chemical Properties, River Res. Appl., 31, 590–601, <ext-link xlink:href="https://doi.org/10.1002/rra.2762" ext-link-type="DOI">10.1002/rra.2762</ext-link>, 2015.</mixed-citation></ref>
      <ref id="bib1.bibx144"><label>Tisdall and Oades(1982)</label><mixed-citation>Tisdall, J. M. and Oades, J. M.: Organic Matter and Water-Stable Aggregates in Soils, J. Soil Sci., 33, 141–163, <ext-link xlink:href="https://doi.org/10.1111/j.1365-2389.1982.tb01755.x" ext-link-type="DOI">10.1111/j.1365-2389.1982.tb01755.x</ext-link>, 1982.</mixed-citation></ref>
      <ref id="bib1.bibx145"><label>Tugel et al.(2005)Tugel, Herrick, Brown, Mausbach, Puckett, and Hipple</label><mixed-citation>Tugel, A. J., Herrick, J. E., Brown, J. R., Mausbach, M. J., Puckett, W., and Hipple, K.: Soil Change, Soil Survey, and Natural Resources Decision Making, Soil Sci. Soc. Am. J., 69, 738–747, <ext-link xlink:href="https://doi.org/10.2136/sssaj2004.0163" ext-link-type="DOI">10.2136/sssaj2004.0163</ext-link>, 2005.</mixed-citation></ref>
      <ref id="bib1.bibx146"><label>Tully et al.(2015)Tully, Sullivan, Weil, and Sanchez</label><mixed-citation>Tully, K., Sullivan, C., Weil, R., and Sanchez, P.: The State of Soil Degradation in Sub-Saharan Africa: Baselines, Trajectories, and Solutions, Sustainability, 7, 6523–6552, <ext-link xlink:href="https://doi.org/10.3390/su7066523" ext-link-type="DOI">10.3390/su7066523</ext-link>, 2015.</mixed-citation></ref>
      <ref id="bib1.bibx147"><label>Tyukavina et al.(2018)Tyukavina, Hansen, Potapov, Parker, Okpa, Stehman, Kommareddy, and Turubanova</label><mixed-citation>Tyukavina, A., Hansen, M. C., Potapov, P., Parker, D., Okpa, C., Stehman, S. V., Kommareddy, I., and Turubanova, S.: Congo Basin Forest Loss Dominated by Increasing Smallholder Clearing, Science Advances, 4, 1–12, <ext-link xlink:href="https://doi.org/10.1126/sciadv.aat2993" ext-link-type="DOI">10.1126/sciadv.aat2993</ext-link>, 2018.</mixed-citation></ref>
      <ref id="bib1.bibx148"><label>Uganda Investment Authority(2020)</label><mixed-citation>Uganda Investment Authority: Agriculture Sector Investment Profile: Rwenzori Region, Tech. rep., Uganda Investment Authority, <uri>https://ugandainvest.go.ug/wp-content/uploads/2020/11/Agriculture-Sector-Investment-Profile-Rwenzori-Region.pdf</uri> (last access: 20 June 2024), 2020.</mixed-citation></ref>
      <ref id="bib1.bibx149"><label>Vågen et al.(2020)Vågen, Winowiecki, Desta, Tondoh, Weullow, Shepherd, and Sila</label><mixed-citation>Vågen, T.-G., Winowiecki, L. A., Desta, L., Tondoh, E. J., Weullow, E., Shepherd, K., and Sila, A.: Mid-Infrared Spectra (MIRS) from ICRAF Soil and Plant Spectroscopy Laboratory: Africa Soil Information Service (AfSIS) Phase I 2009–2013, World Agroforestry – Research Data  Repository [data set], <ext-link xlink:href="https://doi.org/10.34725/DVN/QXCWP1" ext-link-type="DOI">10.34725/DVN/QXCWP1</ext-link>, 2020.</mixed-citation></ref>
      <ref id="bib1.bibx150"><label>Vågen et al.(2022)Vågen, Winowiecki, Desta, Tondoh, Weullow, Shepherd, Sila, Dunham, Hernández-Allica, Carter, and McGrath</label><mixed-citation>Vågen, T.-G., Winowiecki, L. A., Desta, L., Tondoh, J., Weullow, E., Shepherd, K., Sila, A., Dunham, S. J., Hernández-Allica, J., Carter, J., and McGrath, S. P.: Wet Chemistry Data for a Subset of AfSIS: Phase I Archived Soil Samples, World Agroforestry [data set], <ext-link xlink:href="https://doi.org/10.34725/DVN/66BFOB" ext-link-type="DOI">10.34725/DVN/66BFOB</ext-link>, 2022.</mixed-citation></ref>
      <ref id="bib1.bibx151"><label>Van Oost and Six(2023)</label><mixed-citation>Van Oost, K. and Six, J.: Reconciling the paradox of soil organic carbon erosion by water, Biogeosciences, 20, 635–646, <ext-link xlink:href="https://doi.org/10.5194/bg-20-635-2023" ext-link-type="DOI">10.5194/bg-20-635-2023</ext-link>, 2023.</mixed-citation></ref>
      <ref id="bib1.bibx152"><label>Van Oost et al.(2012)Van Oost, Verstraeten, Doetterl, Notebaert, Wiaux, Broothaerts, and Six</label><mixed-citation>Van Oost, K., Verstraeten, G., Doetterl, S., Notebaert, B., Wiaux, F., Broothaerts, N., and Six, J.: Legacy of Human-Induced C Erosion and Burial on Soil–Atmosphere C Exchange, P. Natl. Acad. Sci. USA, 109, 19492–19497, <ext-link xlink:href="https://doi.org/10.1073/pnas.1211162109" ext-link-type="DOI">10.1073/pnas.1211162109</ext-link>, 2012.</mixed-citation></ref>
      <ref id="bib1.bibx153"><label>Vanacker et al.(2019)Vanacker, Ameijeiras-Mariño, Schoonejans, Cornélis, Minella, Lamouline, Vermeire, Campforts, Robinet, Van de Broek, Delmelle, and Opfergelt</label><mixed-citation>Vanacker, V., Ameijeiras-Mariño, Y., Schoonejans, J., Cornélis, J.-T., Minella, J. P. G., Lamouline, F., Vermeire, M.-L., Campforts, B., Robinet, J., Van de Broek, M., Delmelle, P., and Opfergelt, S.: Land Use Impacts on Soil Erosion and Rejuvenation in Southern Brazil, CATENA, 178, 256–266, <ext-link xlink:href="https://doi.org/10.1016/j.catena.2019.03.024" ext-link-type="DOI">10.1016/j.catena.2019.03.024</ext-link>, 2019.</mixed-citation></ref>
      <ref id="bib1.bibx154"><label>van Straaten et al.(2015)</label><mixed-citation>van Straaten, O., Corre, M. D., Wolf, K., Tchienkoua, M., Cuellar, E., Matthews, R. B., and Veldkamp, E.: Conversion of Lowland Tropical Forests to Tree Cash Crop Plantations Loses up to One-Half of Stored Soil Organic Carbon, P. Natl. Acad. Sci. USA, 112, 9956–9960, <ext-link xlink:href="https://doi.org/10.1073/pnas.1504628112" ext-link-type="DOI">10.1073/pnas.1504628112</ext-link>, 2015.</mixed-citation></ref>
      <ref id="bib1.bibx155"><label>Veldkamp et al.(2020)Veldkamp, Schmidt, Powers, and Corre</label><mixed-citation>Veldkamp, E., Schmidt, M., Powers, J. S., and Corre, M. D.: Deforestation and Reforestation Impacts on Soils in the Tropics, Nature Reviews Earth &amp; Environment, 1, 590–605, <ext-link xlink:href="https://doi.org/10.1038/s43017-020-0091-5" ext-link-type="DOI">10.1038/s43017-020-0091-5</ext-link>, 2020.</mixed-citation></ref>
      <ref id="bib1.bibx156"><label>Vinogradov(1980)</label><mixed-citation>Vinogradov, V. I.: <inline-formula><mml:math id="M527" display="inline"><mml:mrow class="chem"><mml:msup><mml:mi mathvariant="normal">C</mml:mi><mml:mn mathvariant="normal">13</mml:mn></mml:msup><mml:mo>/</mml:mo><mml:msup><mml:mi mathvariant="normal">C</mml:mi><mml:mn mathvariant="normal">12</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula> and <inline-formula><mml:math id="M528" display="inline"><mml:mrow class="chem"><mml:msup><mml:mi mathvariant="normal">O</mml:mi><mml:mn mathvariant="normal">18</mml:mn></mml:msup><mml:mo>/</mml:mo><mml:msup><mml:mi mathvariant="normal">O</mml:mi><mml:mn mathvariant="normal">16</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula> Ratios and <inline-formula><mml:math id="M529" display="inline"><mml:mrow class="chem"><mml:msup><mml:mi mathvariant="normal">C</mml:mi><mml:mn mathvariant="normal">14</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula> Concentration in Carbonatites of the Kaliango Volcano (East Africa), Int. Geol. Rev., 22, 51–57, <ext-link xlink:href="https://doi.org/10.1080/00206818209466862" ext-link-type="DOI">10.1080/00206818209466862</ext-link>, 1980.</mixed-citation></ref>
      <ref id="bib1.bibx157"><label>Vitousek et al.(2003)Vitousek, Chadwick, Matson, Allison, Derry, Kettley, Luers, Mecking, Monastra, and Porder</label><mixed-citation>Vitousek, P., Chadwick, O., Matson, P., Allison, S., Derry, L., Kettley, L., Luers, A., Mecking, E., Monastra, V., and Porder, S.: Erosion and the Rejuvenation of Weathering-derived Nutrient Supply in an Old Tropical Landscape, Ecosystems, 6, 762–772, <ext-link xlink:href="https://doi.org/10.1007/s10021-003-0199-8" ext-link-type="DOI">10.1007/s10021-003-0199-8</ext-link>, 2003.</mixed-citation></ref>
      <ref id="bib1.bibx158"><label>Vollset et al.(2020)Vollset, Goren, Yuan, Cao, Smith, Hsiao, Bisignano, Azhar, Castro, Chalek, Dolgert, Frank, Fukutaki, Hay, Lozano, Mokdad, Nandakumar, Pierce, Pletcher, Robalik, Steuben, Wunrow, Zlavog, and Murray</label><mixed-citation>Vollset, S. E., Goren, E., Yuan, C.-W., Cao, J., Smith, A. E., Hsiao, T., Bisignano, C., Azhar, G. S., Castro, E., Chalek, J., Dolgert, A. J., Frank, T., Fukutaki, K., Hay, S. I., Lozano, R., Mokdad, A. H., Nandakumar, V., Pierce, M., Pletcher, M., Robalik, T., Steuben, K. M., Wunrow, H. Y., Zlavog, B. S., and Murray, C. J. L.: Fertility, Mortality, Migration, and Population Scenarios for 195 Countries and Territories from 2017 to 2100: A Forecasting Analysis for the Global Burden of Disease Study, The Lancet, 396, 1285–1306, <ext-link xlink:href="https://doi.org/10.1016/S0140-6736(20)30677-2" ext-link-type="DOI">10.1016/S0140-6736(20)30677-2</ext-link>, 2020.</mixed-citation></ref>
      <ref id="bib1.bibx159"><label>Wambede et al.()Wambede, Joyfred, and Remigio</label><mixed-citation>Wambede, N. M., Joyfred, A., and Remigio, T.: Soil Loss under Different Cropping Systems in Highlands of Uganda, Universal Journal of Agricultural Research, 4, 217–229, <ext-link xlink:href="https://doi.org/10.13189/ujar.2016.040601" ext-link-type="DOI">10.13189/ujar.2016.040601</ext-link>, 2016.</mixed-citation></ref>
      <ref id="bib1.bibx160"><label>Wasige et al.(2014)Wasige, Groen, Rwamukwaya, Tumwesigye, Smaling, and Jetten</label><mixed-citation>Wasige, J. E., Groen, T. A., Rwamukwaya, B. M., Tumwesigye, W., Smaling, E. M. A., and Jetten, V.: Contemporary Land Use/Land Cover Types Determine Soil Organic Carbon Stocks in South-West Rwanda, Nutr. Cycl. Agroecosys., 100, 19–33, <ext-link xlink:href="https://doi.org/10.1007/s10705-014-9623-z" ext-link-type="DOI">10.1007/s10705-014-9623-z</ext-link>, 2014. </mixed-citation></ref>
      <ref id="bib1.bibx161"><label>Wells et al.(2023)Wells, Stringer, Woodhead, and Wandrag</label><mixed-citation>Wells, J. J., Stringer, L. C., Woodhead, A. J., and Wandrag, E. M.: Towards a Holistic Understanding of Non-Native Tree Impacts on Ecosystem Services: A Review of Acacia, Eucalyptus and Pinus in Africa, Ecosyst. Serv., 60, 101511, <ext-link xlink:href="https://doi.org/10.1016/j.ecoser.2023.101511" ext-link-type="DOI">10.1016/j.ecoser.2023.101511</ext-link>, 2023.</mixed-citation></ref>
      <ref id="bib1.bibx162"><label>Wickham(2016)</label><mixed-citation>Wickham, H.: Ggplot2: Elegant Graphics for Data Analysis, <uri>https://ggplot2.tidyverse.org</uri> (last access: 10 May 2026), 2016.</mixed-citation></ref>
      <ref id="bib1.bibx163"><label>Wieder et al.(2015)Wieder, Grandy, Kallenbach, Taylor, and Bonan</label><mixed-citation>Wieder, W. R., Grandy, A. S., Kallenbach, C. M., Taylor, P. G., and Bonan, G. B.: Representing life in the Earth system with soil microbial functional traits in the MIMICS model, Geosci. Model Dev., 8, 1789–1808, <ext-link xlink:href="https://doi.org/10.5194/gmd-8-1789-2015" ext-link-type="DOI">10.5194/gmd-8-1789-2015</ext-link>, 2015.</mixed-citation></ref>
      <ref id="bib1.bibx164"><label>Wilken et al.(2021)</label><mixed-citation>Wilken, F., Fiener, P., Ketterer, M., Meusburger, K., Muhindo, D. I., van Oost, K., and Doetterl, S.: Assessing soil redistribution of forest and cropland sites in wet tropical Africa using <sup>239+240</sup>Pu fallout radionuclides, SOIL, 7, 399–414, <ext-link xlink:href="https://doi.org/10.5194/soil-7-399-2021" ext-link-type="DOI">10.5194/soil-7-399-2021</ext-link>, 2021.</mixed-citation></ref>
      <ref id="bib1.bibx165"><label>WorldPop(2020)</label><mixed-citation>WorldPop: The Spatial Distribution of Population Density in 2020, Democratic Republic of Congo, WorldPop Hub [data set], <ext-link xlink:href="https://doi.org/10.5258/SOTON/WP00674" ext-link-type="DOI">10.5258/SOTON/WP00674</ext-link>, 2020.</mixed-citation></ref>
      <ref id="bib1.bibx166"><label>Wu et al.(2023)Wu, Konhauser, Chen, and Huang</label><mixed-citation>Wu, S., Konhauser, K. O., Chen, B., and Huang, L.: “Reactive Mineral Sink” Drives Soil Organic Matter Dynamics and Stabilization, npj Materials Sustainability, 1, 3, <ext-link xlink:href="https://doi.org/10.1038/s44296-023-00003-7" ext-link-type="DOI">10.1038/s44296-023-00003-7</ext-link>, 2023.</mixed-citation></ref>
      <ref id="bib1.bibx167"><label>Xiong et al.(2019)Xiong, Sun, and Chen</label><mixed-citation>Xiong, M., Sun, R., and Chen, L.: A Global Comparison of Soil Erosion Associated with Land Use and Climate Type, Geoderma, 343, 31–39, <ext-link xlink:href="https://doi.org/10.1016/j.geoderma.2019.02.013" ext-link-type="DOI">10.1016/j.geoderma.2019.02.013</ext-link>, 2019.</mixed-citation></ref>
      <ref id="bib1.bibx168"><label>Yavitt(2000)</label><mixed-citation>Yavitt, J. B.: Nutrient Dynamics of Soil Derived from Different Parent Material on Barro Colorado Island, Panama1, Biotropica, 32, 198–207, <ext-link xlink:href="https://doi.org/10.1111/j.1744-7429.2000.tb00462.x" ext-link-type="DOI">10.1111/j.1744-7429.2000.tb00462.x</ext-link>, 2000.</mixed-citation></ref>
      <ref id="bib1.bibx169"><label>Zhang et al.(2012)Zhang, Zhang, Yang, and Wu</label><mixed-citation>Zhang, D., Zhang, J., Yang, W., and Wu, F.: Effects of Afforestation with Eucalyptus Grandis on Soil Physicochemical and Microbiological Properties, Soil Res., 50, 167, <ext-link xlink:href="https://doi.org/10.1071/SR11104" ext-link-type="DOI">10.1071/SR11104</ext-link>, 2012.</mixed-citation></ref>

  </ref-list></back>
    <!--<article-title-html>Rapid soil degradation following deforestation in Eastern Africa</article-title-html>
<abstract-html/>
<ref-html id="bib1.bib1"><label>Amundson et al.(2015)Amundson, Berhe, Hopmans, Olson, Sztein, and
Sparks</label><mixed-citation>
      
Amundson, R., Berhe, A. A., Hopmans, J. W., Olson, C., Sztein, A. E., and
Sparks, D. L.: Soil and Human Security in the 21st Century, Science, 348, 1261071,
<a href="https://doi.org/10.1126/science.1261071" target="_blank">https://doi.org/10.1126/science.1261071</a>, 2015.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib2"><label>Angst et al.(2018)Angst, Messinger, Greiner, Häusler, Hertel, Kirfel,
Kögel-Knabner, Leuschner, Rethemeyer, and Mueller</label><mixed-citation>
      
Angst, G., Messinger, J., Greiner, M., Häusler, W., Hertel, D., Kirfel, K.,
Kögel-Knabner, I., Leuschner, C., Rethemeyer, J., and Mueller, C. W.: Soil
Organic Carbon Stocks in Topsoil and Subsoil Controlled by Parent Material,
Carbon Input in the Rhizosphere, and Microbial-Derived Compounds, Soil Biol. Biochem., 122,
19–30, <a href="https://doi.org/10.1016/j.soilbio.2018.03.026" target="_blank">https://doi.org/10.1016/j.soilbio.2018.03.026</a>, 2018.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib3"><label>Araujo et al.(2017)Araujo, Zinn, and Lal</label><mixed-citation>
      
Araujo, M. A., Zinn, Y. L., and Lal, R.: Soil Parent Material, Texture and
Oxide Contents Have Little Effect on Soil Organic Carbon Retention in
Tropical Highlands, Geoderma, 300, 1–10, <a href="https://doi.org/10.1016/j.geoderma.2017.04.006" target="_blank">https://doi.org/10.1016/j.geoderma.2017.04.006</a>, 2017.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib4"><label>Augusto et al.(2017)Augusto, Achat, Jonard, Vidal, and
Ringeval</label><mixed-citation>
      
Augusto, L., Achat, D. L., Jonard, M., Vidal, D., and Ringeval, B.: Soil Parent
Material – A Major Driver of Plant Nutrient Limitations in Terrestrial
Ecosystems, Glob. Change Biol., 23, 3808–3824, <a href="https://doi.org/10.1111/gcb.13691" target="_blank">https://doi.org/10.1111/gcb.13691</a>, 2017.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib5"><label>Bailey et al.(2005)Bailey, Lloyd, Kearns, Stoppa, Eby, and
Woolley</label><mixed-citation>
      
Bailey, K., Lloyd, F., Kearns, S., Stoppa, F., Eby, N., and Woolley, A.:
Melilitite at Fort Portal, Uganda: Another Dimension to the
Carbonate Volcanism, Lithos, 85, 15–25, <a href="https://doi.org/10.1016/j.lithos.2005.03.019" target="_blank">https://doi.org/10.1016/j.lithos.2005.03.019</a>, 2005.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib6"><label>Bamwesigye et al.(2022)Bamwesigye, Chipfakacha, and
Yeboah</label><mixed-citation>
      
Bamwesigye, D., Chipfakacha, R., and Yeboah, E.: Forest and Land Rights at
a Time of Deforestation and Climate Change: Land and
Resource Use Crisis in Uganda, Land, 11, 2092, <a href="https://doi.org/10.3390/land11112092" target="_blank">https://doi.org/10.3390/land11112092</a>, 2022.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib7"><label>Barker and Nixon(1989)</label><mixed-citation>
      
Barker, D. S. and Nixon, P. H.: High-Ca, Low-Alkali Carbonatite Volcanism
at Fort Portal, Uganda, Contrib. Mineral. Petr., 103, 166–177, <a href="https://doi.org/10.1007/BF00378502" target="_blank">https://doi.org/10.1007/BF00378502</a>, 1989.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib8"><label>Bascomb(1968)</label><mixed-citation>
      
Bascomb, C. L.: Distribution of Pyrophosphate-Extractable Iron and
Organic Carbon in Soils of Various Groups, J. Soil Sci., 19, 251–268,
<a href="https://doi.org/10.1111/j.1365-2389.1968.tb01538.x" target="_blank">https://doi.org/10.1111/j.1365-2389.1968.tb01538.x</a>, 1968.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib9"><label>Baumann et al.(2024)Baumann, Knecht, and
Roudier</label><mixed-citation>
      
Baumann, P., Knecht, T., and Roudier, P.: Opusreader2: Read Spectroscopic
Data from Bruker OPUS Binary Files. R Package Version 0.6.2.9000,
<a href="https://github.com/spectral-cockpit/opusreader2" target="_blank"/>, last access: 3 April 2024.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib10"><label>Bauters et al.(2018)Bauters, Drake, Verbeeck, Bodé,
Hervé-Fernández, Zito, Podgorski, Boyemba, Makelele, Cizungu Ntaboba,
Spencer, and Boeckx</label><mixed-citation>
      
Bauters, M., Drake, T. W., Verbeeck, H., Bodé, S., Hervé-Fernández, P.,
Zito, P., Podgorski, D. C., Boyemba, F., Makelele, I., Cizungu Ntaboba, L.,
Spencer, R. G. M., and Boeckx, P.: High Fire-Derived Nitrogen Deposition on
Central African Forests, P. Natl. Acad. Sci. USA, 115, 549–554, <a href="https://doi.org/10.1073/pnas.1714597115" target="_blank">https://doi.org/10.1073/pnas.1714597115</a>,
2018.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib11"><label>Bauters et al.(2021)Bauters, Drake, Wagner, Baumgartner,
Makelele, Bodé, Verheyen, Verbeeck, Ewango, Cizungu, Van Oost, and
Boeckx</label><mixed-citation>
      
Bauters, M., Drake, T. W., Wagner, S., Baumgartner, S., Makelele, I. A., Bodé,
S., Verheyen, K., Verbeeck, H., Ewango, C., Cizungu, L., Van Oost, K., and
Boeckx, P.: Fire-Derived Phosphorus Fertilization of African Tropical
Forests, Nat. Commun., 12, 5129, <a href="https://doi.org/10.1038/s41467-021-25428-3" target="_blank">https://doi.org/10.1038/s41467-021-25428-3</a>, 2021.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib12"><label>Bauters et al.(2022)Bauters, Janssens, Wasner, Doetterl,
Vermeir, Griepentrog, Drake, Six, Barthel, Baumgartner, Van Oost, Makelele,
Ewango, Verheyen, and Boeckx</label><mixed-citation>
      
Bauters, M., Janssens, I. A., Wasner, D., Doetterl, S., Vermeir, P.,
Griepentrog, M., Drake, T. W., Six, J., Barthel, M., Baumgartner, S.,
Van Oost, K., Makelele, I. A., Ewango, C., Verheyen, K., and Boeckx, P.:
Increasing Calcium Scarcity along Afrotropical Forest Succession, Nature Ecology &amp; Evolution, 6,
1122–1131, <a href="https://doi.org/10.1038/s41559-022-01810-2" target="_blank">https://doi.org/10.1038/s41559-022-01810-2</a>, 2022.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib13"><label>Beretta et al.(2014)Beretta, Silbermann, Paladino, Torres, Bassahun,
Musselli, and García-Lamohte</label><mixed-citation>
      
Beretta, A. N., Silbermann, A. V., Paladino, L., Torres, D., Bassahun, D.,
Musselli, R., and García-Lamohte, A.: Soil Texture Analyses Using a
Hydrometer: Modification of the Bouyoucos Method, Cienc. Investig. Agrar., 41, 263–271,
<a href="https://doi.org/10.4067/S0718-16202014000200013" target="_blank">https://doi.org/10.4067/S0718-16202014000200013</a>, 2014.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib14"><label>Berhe et al.(2007)Berhe, Harte, Harden, and
Torn</label><mixed-citation>
      
Berhe, A. A., Harte, J., Harden, J. W., and Torn, M. S.: The Significance
of the Erosion-induced Terrestrial Carbon Sink, BioScience, 57, 337–346,
<a href="https://doi.org/10.1641/B570408" target="_blank">https://doi.org/10.1641/B570408</a>, 2007.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib15"><label>Bertrand et al.(2019)Bertrand, Viaud, Daufresne, Pellerin, and
Recous</label><mixed-citation>
      
Bertrand, I., Viaud, V., Daufresne, T., Pellerin, S., and Recous, S.:
Stoichiometry Constraints Challenge the Potential of Agroecological Practices
for the Soil C Storage. A Review, Agron. Sustain. Dev., 39, 54,
<a href="https://doi.org/10.1007/s13593-019-0599-6" target="_blank">https://doi.org/10.1007/s13593-019-0599-6</a>, 2019.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib16"><label>Blume et al.(2016)Blume, Brümmer, Fleige, Horn, Kandeler,
Kögel-Knabner, Kretzschmar, Stahr, and Wilke</label><mixed-citation>
      
Blume, H.-P., Brümmer, G. W., Fleige, H., Horn, R., Kandeler, E.,
Kögel-Knabner, I., Kretzschmar, R., Stahr, K., and Wilke, B.-M.: Inorganic
Soil Components – Minerals and Rocks, in: Scheffer/Schachtschabel Soil Science, edited by: Blume, H.-P., Brümmer, G. W.,
Fleige, H., Horn, R., Kandeler, E., Kögel-Knabner, I., Kretzschmar, R.,
Stahr, K., and Wilke, B.-M., Springer, 7–53, ISBN 978-3-642-30942-7,
<a href="https://doi.org/10.1007/978-3-642-30942-7_2" target="_blank">https://doi.org/10.1007/978-3-642-30942-7_2</a>, 2016.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib17"><label>Bouillet et al.(2013)Bouillet, Laclau, Gonçalves, Voigtlaender, Gava,
Leite, Hakamada, Mareschal, Mabiala, Tardy, Levillain, Deleporte, Epron, and
Nouvellon</label><mixed-citation>
      
Bouillet, J.-P., Laclau, J.-P., Gonçalves, J. L. d. M., Voigtlaender, M.,
Gava, J. L., Leite, F. P., Hakamada, R., Mareschal, L., Mabiala, A., Tardy,
F., Levillain, J., Deleporte, P., Epron, D., and Nouvellon, Y.:
<i>Eucalyptus</i> and <i>Acacia</i> Tree Growth over Entire
Rotation in Single- and Mixed-Species Plantations across Five Sites in
Brazil and Congo, Forest Ecol. Manag., 301, 89–101, <a href="https://doi.org/10.1016/j.foreco.2012.09.019" target="_blank">https://doi.org/10.1016/j.foreco.2012.09.019</a>, 2013.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib18"><label>Bouyoucos(1962)</label><mixed-citation>
      
Bouyoucos, G. J.: Hydrometer Method Improved for Making Particle Size
Analyses of Soils1, Agron. J., 54, 464–465,
<a href="https://doi.org/10.2134/agronj1962.00021962005400050028x" target="_blank">https://doi.org/10.2134/agronj1962.00021962005400050028x</a>, 1962.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib19"><label>Brancalion et al.(2020)</label><mixed-citation>
      
Brancalion, P. H. S., Amazonas, N. T., Chazdon, R. L., van Melis,
J., Rodrigues, R. R., Silva, C. C., Sorrini, T. B., and
Holl, K. D.: Exotic Eucalypts: From Demonized Trees to Allies of Tropical
Forest Restoration?, J. Appl. Ecol., 57, 55–66, <a href="https://doi.org/10.1111/1365-2664.13513" target="_blank">https://doi.org/10.1111/1365-2664.13513</a>, 2020.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib20"><label>Bristow et al.(2010)Bristow, Hudson-Edwards, and
Chappell</label><mixed-citation>
      
Bristow, C. S., Hudson-Edwards, K. A., and Chappell, A.: Fertilizing the
Amazon and Equatorial Atlantic with West African Dust, Geophys.
Res. Lett., 37,
<a href="https://doi.org/10.1029/2010GL043486" target="_blank">https://doi.org/10.1029/2010GL043486</a>, 2010.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib21"><label>Bruun et al.(2010)Bruun, Elberling, and
Christensen</label><mixed-citation>
      
Bruun, T. B., Elberling, B., and Christensen, B. T.: Lability of Soil Organic
Carbon in Tropical Soils with Different Clay Minerals, Soil Biol.
Biochem., 42, 888–895,
<a href="https://doi.org/10.1016/j.soilbio.2010.01.009" target="_blank">https://doi.org/10.1016/j.soilbio.2010.01.009</a>, 2010.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib22"><label>Bukombe et al.(2022)Bukombe, Bauters, Boeckx, Cizungu, Cooper, Fiener,
Kidinda, Makelele, Muhindo, Rewald, Verheyen, and
Doetterl</label><mixed-citation>
      
Bukombe, B., Bauters, M., Boeckx, P., Cizungu, L. N., Cooper, M., Fiener, P.,
Kidinda, L. K., Makelele, I., Muhindo, D. I., Rewald, B., Verheyen, K., and
Doetterl, S.: Soil Geochemistry – and Not Topography – as a Major Driver
of Carbon Allocation, Stocks, and Dynamics in Forests and Soils of
African Tropical Montane Ecosystems, New Phytol., 236, 1676–1690,
<a href="https://doi.org/10.1111/nph.18469" target="_blank">https://doi.org/10.1111/nph.18469</a>, 2022.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib23"><label>Chadwick and Asner(2016)</label><mixed-citation>
      
Chadwick, K. D. and Asner, G. P.: Tropical Soil Nutrient Distributions
Determined by Biotic and Hillslope Processes, Biogeochemistry, 127, 273–289,
<a href="https://doi.org/10.1007/s10533-015-0179-z" target="_blank">https://doi.org/10.1007/s10533-015-0179-z</a>, 2016.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib24"><label>Coleman and Jenkinson(1996)</label><mixed-citation>
      
Coleman, K. and Jenkinson, D. S.: RothC-26.3 - A Model for the Turnover
of Carbon in Soil, in: Evaluation of Soil Organic Matter Models, edited
by Powlson, D. S., Smith, P., and Smith, J. U., NATO ASI Series,
Springer, 237–246, ISBN 978-3-642-61094-3,
<a href="https://doi.org/10.1007/978-3-642-61094-3_17" target="_blank">https://doi.org/10.1007/978-3-642-61094-3_17</a>, 1996.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib25"><label>Cook et al.(2016)Cook, Binkley, and Stape</label><mixed-citation>
      
Cook, R. L., Binkley, D., and Stape, J. L.: Eucalyptus Plantation Effects on
Soil Carbon after 20years and Three Rotations in Brazil, Forest
Ecol. Manag., 359, 92–98,
<a href="https://doi.org/10.1016/j.foreco.2015.09.035" target="_blank">https://doi.org/10.1016/j.foreco.2015.09.035</a>, 2016.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib26"><label>Cox(2012)</label><mixed-citation>
      
Cox, T. P.: Farming the Battlefield: The Meanings of War, Cattle and Soil in
South Kivu, Democratic Republic of the Congo, Disasters, 36, 233–248,
<a href="https://doi.org/10.1111/j.1467-7717.2011.01257.x" target="_blank">https://doi.org/10.1111/j.1467-7717.2011.01257.x</a>, 2012.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib27"><label>Dahlgren(1994)</label><mixed-citation>
      
Dahlgren, R. A.: Quantification of Allophane and Imogolite, in:
Quantitative Methods in Soil Mineralogy, pp. 430–451, John Wiley &amp;
Sons, Ltd, ISBN 978-0-89118-884-1,
<a href="https://doi.org/10.2136/1994.quantitativemethods.c14" target="_blank">https://doi.org/10.2136/1994.quantitativemethods.c14</a>, 1994.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib28"><label>D'Angelo et al.(2001)D'Angelo, Crutchfield, and
Vandiviere</label><mixed-citation>
      
D'Angelo, E., Crutchfield, J., and Vandiviere, M.: Rapid, Sensitive,
Microscale Determination of Phosphate in Water and Soil, J.
Environ. Qual., 30,
2206–2209, <a href="https://doi.org/10.2134/jeq2001.2206" target="_blank">https://doi.org/10.2134/jeq2001.2206</a>, 2001.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib29"><label>Davidson and Ackerman(1993)</label><mixed-citation>
      
Davidson, E. A. and Ackerman, I. L.: Changes in Soil Carbon Inventories
Following Cultivation of Previously Untilled Soils, Biogeochemistry, 20, 161–193,
<a href="https://doi.org/10.1007/BF00000786" target="_blank">https://doi.org/10.1007/BF00000786</a>, 1993.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib30"><label>Dechert et al.(2004)Dechert, Veldkamp, and Anas</label><mixed-citation>
      
Dechert, G., Veldkamp, E., and Anas, I.: Is Soil Degradation Unrelated to
Deforestation? Examining Soil Parameters of Land Use Systems in Upland
Central Sulawesi, Indonesia, Plant Soil, 265, 197–209,
<a href="https://doi.org/10.1007/s11104-005-0885-8" target="_blank">https://doi.org/10.1007/s11104-005-0885-8</a>, 2004.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib31"><label>Delcamp et al.(2019)Delcamp, Mossoux, Belkus, Tweheyo, Mattsson, and
Kervyn</label><mixed-citation>
      
Delcamp, A., Mossoux, S., Belkus, H., Tweheyo, C., Mattsson, H., and Kervyn,
M.: Control of the Stress Field and Rift Structures on the Distribution and
Morphology of Explosive Volcanic Craters in the Manyara and Albertine
Rifts, J. Afr. Earth Sci., 150, 566–583, <a href="https://doi.org/10.1016/j.jafrearsci.2018.09.012" target="_blank">https://doi.org/10.1016/j.jafrearsci.2018.09.012</a>, 2019.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib32"><label>Depicker et al.(2020)Depicker, Jacobs, Delvaux, Havenith,
Maki Mateso, Govers, and Dewitte</label><mixed-citation>
      
Depicker, A., Jacobs, L., Delvaux, D., Havenith, H.-B., Maki Mateso, J.-C.,
Govers, G., and Dewitte, O.: The Added Value of a Regional Landslide
Susceptibility Assessment: The Western Branch of the East African
Rift, Geomorphology, 353, 106886, <a href="https://doi.org/10.1016/j.geomorph.2019.106886" target="_blank">https://doi.org/10.1016/j.geomorph.2019.106886</a>, 2020.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib33"><label>Depicker et al.(2021)Depicker, Jacobs, Mboga, Smets,
Van Rompaey, Lennert, Wolff, Kervyn, Michellier, Dewitte, and
Govers</label><mixed-citation>
      
Depicker, A., Jacobs, L., Mboga, N., Smets, B., Van Rompaey, A., Lennert, M.,
Wolff, E., Kervyn, F., Michellier, C., Dewitte, O., and Govers, G.:
Historical Dynamics of Landslide Risk from Population and Forest-Cover
Changes in the Kivu Rift, Nature Sustainability, 4, 965–974, <a href="https://doi.org/10.1038/s41893-021-00757-9" target="_blank">https://doi.org/10.1038/s41893-021-00757-9</a>,
2021.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib34"><label>Detwiler(1986)</label><mixed-citation>
      
Detwiler, R. P.: Land Use Change and the Global Carbon Cycle: The Role of
Tropical Soils, Biogeochemistry, 2, 67–93, <a href="https://doi.org/10.1007/BF02186966" target="_blank">https://doi.org/10.1007/BF02186966</a>, 1986.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib35"><label>Dick et al.(2005)Dick, Nunes Gonçalves, Dalmolin, Knicker, Klamt,
Kögel-Knabner, Simões, and Martin-Neto</label><mixed-citation>
      
Dick, D. P., Nunes Gonçalves, C., Dalmolin, R. S. D., Knicker, H., Klamt, E.,
Kögel-Knabner, I., Simões, M. L., and Martin-Neto, L.: Characteristics of
Soil Organic Matter of Different Brazilian Ferralsols under Native
Vegetation as a Function of Soil Depth, Geoderma, 124, 319–333,
<a href="https://doi.org/10.1016/j.geoderma.2004.05.008" target="_blank">https://doi.org/10.1016/j.geoderma.2004.05.008</a>, 2005.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib36"><label>Doetterl et al.(2015)Doetterl, Cornelis, Six, Bodé,
Opfergelt, Boeckx, and Van Oost</label><mixed-citation>
      
Doetterl, S., Cornelis, J.-T., Six, J., Bodé, S., Opfergelt, S., Boeckx, P., and Van Oost, K.: Soil redistribution and weathering controlling the fate of geochemical and physical carbon stabilization mechanisms in soils of an eroding landscape, Biogeosciences, 12, 1357–1371, <a href="https://doi.org/10.5194/bg-12-1357-2015" target="_blank">https://doi.org/10.5194/bg-12-1357-2015</a>, 2015.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib37"><label>Doetterl et al.(2018)Doetterl, Berhe, Arnold, Bodé,
Fiener, Finke, Fuchslueger, Griepentrog, Harden, Nadeu, Schnecker, Six,
Trumbore, Van Oost, Vogel, and Boeckx</label><mixed-citation>
      
Doetterl, S., Berhe, A. A., Arnold, C., Bodé, S., Fiener, P., Finke, P.,
Fuchslueger, L., Griepentrog, M., Harden, J. W., Nadeu, E., Schnecker, J.,
Six, J., Trumbore, S., Van Oost, K., Vogel, C., and Boeckx, P.: Links among
Warming, Carbon and Microbial Dynamics Mediated by Soil Mineral Weathering,
11, Nat. Geosci., 589–593, <a href="https://doi.org/10.1038/s41561-018-0168-7" target="_blank">https://doi.org/10.1038/s41561-018-0168-7</a>, 2018.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib38"><label>Doetterl et al.(2021a)Doetterl, Asifiwe, Baert, Bamba,
Bauters, Boeckx, Bukombe, Cadisch, Cooper, Cizungu, Hoyt, Kabaseke, Kalbitz,
Kidinda, Maier, Mainka, Mayrock, Muhindo, Mujinya, Mukotanyi, Nabahungu,
Reichenbach, Rewald, Six, Stegmann, Summerauer, Unseld, Vanlauwe, Van Oost,
Verheyen, Vogel, Wilken, and Fiener</label><mixed-citation>
      
Doetterl, S., Asifiwe, R. K., Baert, G., Bamba, F., Bauters, M., Boeckx, P., Bukombe, B., Cadisch, G., Cooper, M., Cizungu, L. N., Hoyt, A., Kabaseke, C., Kalbitz, K., Kidinda, L., Maier, A., Mainka, M., Mayrock, J., Muhindo, D., Mujinya, B. B., Mukotanyi, S. M., Nabahungu, L., Reichenbach, M., Rewald, B., Six, J., Stegmann, A., Summerauer, L., Unseld, R., Vanlauwe, B., Van Oost, K., Verheyen, K., Vogel, C., Wilken, F., and Fiener, P.: Organic matter cycling along geochemical, geomorphic, and disturbance gradients in forest and cropland of the African Tropics – project TropSOC database version 1.0, Earth Syst. Sci. Data, 13, 4133–4153, <a href="https://doi.org/10.5194/essd-13-4133-2021" target="_blank">https://doi.org/10.5194/essd-13-4133-2021</a>, 2021a.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib39"><label>Doetterl et al.(2021b)Doetterl, Bukombe, Cooper, Kidinda,
Muhindo, Reichenbach, Stegmann, Summerauer, Wilken, and
Fiener</label><mixed-citation>
      
Doetterl, S., Bukombe, B., Cooper, M., Kidinda, L., Muhindo, D., Reichenbach,
M., Stegmann, A., Summerauer, L., Wilken, F., and Fiener, P.: TropSOC
Database V 1.1, GFZ Data Services [data set], <a href="https://doi.org/10.5880/FIDGEO.2021.009" target="_blank">https://doi.org/10.5880/FIDGEO.2021.009</a>,
2021b.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib40"><label>Don et al.(2011)Don, Schumacher, and Freibauer</label><mixed-citation>
      
Don, A., Schumacher, J., and Freibauer, A.: Impact of Tropical Land-Use Change
on Soil Organic Carbon Stocks – a Meta-Analysis, Glob.
Change Biol., 17, 1658–1670,
<a href="https://doi.org/10.1111/j.1365-2486.2010.02336.x" target="_blank">https://doi.org/10.1111/j.1365-2486.2010.02336.x</a>, 2011.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib41"><label>Drake et al.(2019)Drake, Van Oost, Barthel, Bauters, Hoyt, Podgorski,
Six, Boeckx, Trumbore, Ntaboba, and Spencer</label><mixed-citation>
      
Drake, T. W., Van Oost, K., Barthel, M., Bauters, M., Hoyt, A. M., Podgorski,
D. C., Six, J., Boeckx, P., Trumbore, S. E., Ntaboba, L. C., and Spencer, R.
G. M.: Mobilization of Aged and Biolabile Soil Carbon by Tropical
Deforestation, Nat. Geosci., 12, 541–546, <a href="https://doi.org/10.1038/s41561-019-0384-9" target="_blank">https://doi.org/10.1038/s41561-019-0384-9</a>, 2019.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib42"><label>Duncan et al.(2016)Duncan, Bachewe, Mekonnen, Valbuena, Rachier, Lule,
Bahta, and Erenstein</label><mixed-citation>
      
Duncan, A. J., Bachewe, F., Mekonnen, K., Valbuena, D., Rachier, G., Lule, D.,
Bahta, M., and Erenstein, O.: Crop Residue Allocation to Livestock Feed, Soil
Improvement and Other Uses along a Productivity Gradient in Eastern
Africa, Ecosystems &amp; Environment, 228, 101–110, <a href="https://doi.org/10.1016/j.agee.2016.05.011" target="_blank">https://doi.org/10.1016/j.agee.2016.05.011</a>, 2016.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib43"><label>Eufrade Junior et al.(2016)</label><mixed-citation>
      
Eufrade Junior, H. J., de Melo, R. X., Sartori, M.
M. P., Guerra, S. P. S., and Ballarin, A. W.: Sustainable Use of Eucalypt
Biomass Grown on Short Rotation Coppice for Bioenergy, Biomass Bioenerg., 90, 15–21,
<a href="https://doi.org/10.1016/j.biombioe.2016.03.037" target="_blank">https://doi.org/10.1016/j.biombioe.2016.03.037</a>, 2016.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib44"><label>Fialho and Zinn(2014)</label><mixed-citation>
      
Fialho, R. C. and Zinn, Y. L.: Changes in Soil Organic Carbon Under
Eucalyptus Plantations in Brazil: A Comparative Analysis, Land
Degrad. Dev., 25,
428–437, <a href="https://doi.org/10.1002/ldr.2158" target="_blank">https://doi.org/10.1002/ldr.2158</a>, 2014.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib45"><label>Fiantis et al.(2019)Fiantis, Ginting, Gusnidar, Nelson, and
Minasny</label><mixed-citation>
      
Fiantis, D., Ginting, F. I., Gusnidar, Nelson, M., and Minasny, B.: Volcanic
Ash, Insecurity for the People but Securing Fertile Soil for
the Future, Sustainability, 11, 3072, <a href="https://doi.org/10.3390/su11113072" target="_blank">https://doi.org/10.3390/su11113072</a>, 2019.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib46"><label>Fick and Hijmans(2017)</label><mixed-citation>
      
Fick, S. E. and Hijmans, R. J.: WorldClim 2: New 1‐km Spatial Resolution
Climate Surfaces for Global Land Areas, Int. J.
Climatol., 37, 4302–4315,
<a href="https://doi.org/10.1002/joc.5086" target="_blank">https://doi.org/10.1002/joc.5086</a>, 2017.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib47"><label>Gachuruzi(1996)</label><mixed-citation>
      
Gachuruzi, S. B.: The Impact of Refugees on the Environment: The
Case of Rwandan Refugees in Kivu, Zaïre, 15, 24–26,
<a href="https://www.jstor.org/stable/45411513" target="_blank"/> (last access: 20 June 2024), 1996.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib48"><label>Giller et al.(2009)Giller, Witter, Corbeels, and
Tittonell</label><mixed-citation>
      
Giller, K. E., Witter, E., Corbeels, M., and Tittonell, P.: Conservation
Agriculture and Smallholder Farming in Africa: The Heretics' View, Field
Crop. Res.,
114, 23–34, <a href="https://doi.org/10.1016/j.fcr.2009.06.017" target="_blank">https://doi.org/10.1016/j.fcr.2009.06.017</a>, 2009.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib49"><label>Guedes et al.(2016)Guedes, Olsson, and Karltun</label><mixed-citation>
      
Guedes, B. S., Olsson, B. A., and Karltun, E.: Effects of 34-Year-Old Pinus
Taeda and Eucalyptus Grandis Plantations on Soil Carbon and Nutrient
Status in Former Miombo Forest Soils, Global Ecology and Conservation, 8, 190–202,
<a href="https://doi.org/10.1016/j.gecco.2016.09.005" target="_blank">https://doi.org/10.1016/j.gecco.2016.09.005</a>, 2016.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib50"><label>Guo and Gifford(2002)</label><mixed-citation>
      
Guo, L. B. and Gifford, R. M.: Soil Carbon Stocks and Land Use Change: A Meta
Analysis, Glob. Change Biol., 8, 345–360, <a href="https://doi.org/10.1046/j.1354-1013.2002.00486.x" target="_blank">https://doi.org/10.1046/j.1354-1013.2002.00486.x</a>, 2002.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib51"><label>Hall and Thompson(2022)</label><mixed-citation>
      
Hall, S. J. and Thompson, A.: What Do Relationships between Extractable Metals
and Soil Organic Carbon Concentrations Mean?, Soil Sci.
Soc. Am. J., 86, 195–208,
<a href="https://doi.org/10.1002/saj2.20343" target="_blank">https://doi.org/10.1002/saj2.20343</a>, 2022.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib52"><label>Hansen et al.(2013)Hansen, Potapov, Moore, Hancher, Turubanova,
Tyukavina, Thau, Stehman, Goetz, Loveland, Kommareddy, Egorov, Chini,
Justice, and Townshend</label><mixed-citation>
      
Hansen, M. C., Potapov, P. V., Moore, R., Hancher, M., Turubanova, S. A.,
Tyukavina, A., Thau, D., Stehman, S. V., Goetz, S. J., Loveland, T. R.,
Kommareddy, A., Egorov, A., Chini, L., Justice, C. O., and Townshend, J.
R. G.: High-Resolution Global Maps of 21st-Century Forest Cover
Change, Science, 342, 850–853, <a href="https://doi.org/10.1126/science.1244693" target="_blank">https://doi.org/10.1126/science.1244693</a>, 2013.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib53"><label>Harper et al.(2012)Harper, Okom, Stilwell, Tibbett, Dean, George,
Sochacki, Mitchell, Mann, and Dods</label><mixed-citation>
      
Harper, R. J., Okom, A. E. A., Stilwell, A. T., Tibbett, M., Dean, C., George,
S. J., Sochacki, S. J., Mitchell, C. D., Mann, S. S., and Dods, K.:
Reforesting Degraded Agricultural Landscapes with
<i>Eucalypts</i>: Effects on Carbon Storage and Soil Fertility
after 26 Years, Agriculture,
Ecosystems &amp; Environment, 163, 3–13, <a href="https://doi.org/10.1016/j.agee.2012.03.013" target="_blank">https://doi.org/10.1016/j.agee.2012.03.013</a>, 2012.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib54"><label>Hedin et al.(2003)Hedin, Vitousek, and Matson</label><mixed-citation>
      
Hedin, L. O., Vitousek, P. M., and Matson, P. A.: Nutrient Losses Over Four
Million Years of Tropical Forest Development, Ecology, 84, 2231–2255,
<a href="https://doi.org/10.1890/02-4066" target="_blank">https://doi.org/10.1890/02-4066</a>, 2003.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib55"><label>Hedley et al.(1982)Hedley, Stewart, and Chauhan</label><mixed-citation>
      
Hedley, M. J., Stewart, J. W. B., and Chauhan, B. S.: Changes in Inorganic
and Organic Soil Phosphorus Fractions Induced by Cultivation
Practices and by Laboratory Incubations, Soil Sci. Soc. Am. J., 46, 970–976,
<a href="https://doi.org/10.2136/sssaj1982.03615995004600050017x" target="_blank">https://doi.org/10.2136/sssaj1982.03615995004600050017x</a>, 1982.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib56"><label>Hendershot and Duquette(1986)</label><mixed-citation>
      
Hendershot, W. H. and Duquette, M.: A Simple Barium Chloride Method for
Determining Cation Exchange Capacity and Exchangeable Cations,  Soil Sci. Soc. Am. J., 50,
605–608, <a href="https://doi.org/10.2136/sssaj1986.03615995005000030013x" target="_blank">https://doi.org/10.2136/sssaj1986.03615995005000030013x</a>, 1986.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib57"><label>Heri-Kazi and Bielders(2021)</label><mixed-citation>
      
Heri-Kazi, A. B. and Bielders, C. L.: Cropland Characteristics and Extent of
Soil Loss by Rill and Gully Erosion in Smallholder Farms in the KIVU
Highlands, D.R. Congo, Geoderma Regional, 26, e00404,
<a href="https://doi.org/10.1016/j.geodrs.2021.e00404" target="_blank">https://doi.org/10.1016/j.geodrs.2021.e00404</a>, 2021.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib58"><label>Hijmans(2024)</label><mixed-citation>
      
Hijmans, R. J.: Terra: Spatial Data Analysis, R Package Version 1.7-74,
<a href="https://rspatial.github.io/terra/" target="_blank"/> (last access: 10 May 2026), 2024.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib59"><label>Hijmans et al.(2024)Hijmans, Barbosa, Ghosh, and
Mandel</label><mixed-citation>
      
Hijmans, R. J., Barbosa, M., Ghosh, A., and Mandel, A.: Geodata: Download
Geographic Data. R Package Version 0.5-9, CRAN [code],
<a href="https://CRAN.R-project.org/package=geodata" target="_blank"/> (last access: 10 May 2026), 2024.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib60"><label>Hombegowda et al.(2016)</label><mixed-citation>
      
Hombegowda, H. C., van Straaten, O., Köhler, M., and Hölscher, D.: On the rebound: soil organic carbon stocks can bounce back to near forest levels when agroforests replace agriculture in southern India, SOIL, 2, 13–23, <a href="https://doi.org/10.5194/soil-2-13-2016" target="_blank">https://doi.org/10.5194/soil-2-13-2016</a>, 2016.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib61"><label>Jacobs et al.(2017)Jacobs, Dewitte, Poesen, Maes, Mertens, Sekajugo, and
Kervyn</label><mixed-citation>
      
Jacobs, L., Dewitte, O., Poesen, J., Maes, J., Mertens, K., Sekajugo, J., and
Kervyn, M.: Landslide Characteristics and Spatial Distribution in the
Rwenzori Mountains, Uganda, J. Afr. Earth Sci., 134, 917–930,
<a href="https://doi.org/10.1016/j.jafrearsci.2016.05.013" target="_blank">https://doi.org/10.1016/j.jafrearsci.2016.05.013</a>, 2017.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib62"><label>Jagadamma et al.(2010)Jagadamma, Lal, Ussiri, Trumbore, and
Mestelan</label><mixed-citation>
      
Jagadamma, S., Lal, R., Ussiri, D. A. N., Trumbore, S. E., and Mestelan, S.:
Evaluation of Structural Chemistry and Isotopic Signatures of Refractory Soil
Organic Carbon Fraction Isolated by Wet Oxidation Methods, Biogeochemistry, 98, 29–44,
<a href="https://doi.org/10.1007/s10533-009-9374-0" target="_blank">https://doi.org/10.1007/s10533-009-9374-0</a>, 2010.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib63"><label>Jagger and Pender(2003)</label><mixed-citation>
      
Jagger, P. and Pender, J.: The Role of Trees for Sustainable Management of
Less-Favored Lands: The Case of Eucalyptus in Ethiopia, Forest Policy
Econ., 5, 83–95,
<a href="https://doi.org/10.1016/S1389-9341(01)00078-8" target="_blank">https://doi.org/10.1016/S1389-9341(01)00078-8</a>, 2003.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib64"><label>Jenny(1994)</label><mixed-citation>
      
Jenny, H.: Factors of Soil Formation: A System of Quantitative Pedology, Dover
Books on Earth Sciences, Dover Publ, unabridged, unaltered republ., new
foreword edn., ISBN 978-0-486-68128-3, 1994.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib65"><label>Jobbágy and Jackson(2003)</label><mixed-citation>
      
Jobbágy, E. G. and Jackson, R. B.: Patterns and Mechanisms of Soil
Acidification in the Conversion of Grasslands to Forests, Biogeochemistry, 64, 205–229,
<a href="https://doi.org/10.1023/A:1024985629259" target="_blank">https://doi.org/10.1023/A:1024985629259</a>, 2003.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib66"><label>Jones et al.(2013)Jones, Breuning-Madsen, Brossard, Dampha, Deckers,
Dewitte, Hallett, Jones, Kilasara, Le Roux, Micheli, Montanarella,
Spaargaren, Tahar, Thiombiano, Van Ranst, Yemefack, and
Zougmore</label><mixed-citation>
      
Jones, A., Breuning-Madsen, H., Brossard, M., Dampha, A., Deckers, J., Dewitte,
O., Hallett, S., Jones, R., Kilasara, M., Le Roux, P., Micheli, E.,
Montanarella, L., Spaargaren, O., Tahar, G., Thiombiano, L., Van Ranst, E.,
Yemefack, M., and Zougmore, R.: Soil Atlas of Africa, European
Commission, Publication Office of the European Union, ISBN 978-92-79-26715-4,
<a href="https://doi.org/10.2788/52319" target="_blank">https://doi.org/10.2788/52319</a>, 2013.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib67"><label>Kallenbach et al.(2016)Kallenbach, Frey, and
Grandy</label><mixed-citation>
      
Kallenbach, C. M., Frey, S. D., and Grandy, A. S.: Direct Evidence for
Microbial-Derived Soil Organic Matter Formation and Its Ecophysiological
Controls, Nat. Commun., 7, 13&thinsp;630, <a href="https://doi.org/10.1038/ncomms13630" target="_blank">https://doi.org/10.1038/ncomms13630</a>, 2016.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib68"><label>Kampunzu et al.(1998)Kampunzu, Bonhomme, and
Kanika</label><mixed-citation>
      
Kampunzu, A. B., Bonhomme, M. G., and Kanika, M.: Geochronology of Volcanic
Rocks and Evolution of the Cenozoic Western Branch of the East African
Rift System, J. Afr. Earth Sci., 26, 441–461, <a href="https://doi.org/10.1016/S0899-5362(98)00025-6" target="_blank">https://doi.org/10.1016/S0899-5362(98)00025-6</a>, 1998.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib69"><label>Kangela Matazi et al.(2023)Kangela Matazi, Kany Luganda, and
Mugisho Mukotanyi</label><mixed-citation>
      
Kangela Matazi, A., Kany Luganda, E., and Mugisho Mukotanyi, S.: Does
<i>Eucalyptus</i> Determine Agricultural Soil Quality?, Cogent Food &amp;
Agriculture, 9,
2157115, <a href="https://doi.org/10.1080/23311932.2022.2157115" target="_blank">https://doi.org/10.1080/23311932.2022.2157115</a>, 2023.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib70"><label>Karamage et al.(2016)Karamage, Shao, Chen, Ndayisaba,
Nahayo, Kayiranga, Omifolaji, Liu, and Zhang</label><mixed-citation>
      
Karamage, F., Shao, H., Chen, X., Ndayisaba, F., Nahayo, L., Kayiranga, A.,
Omifolaji, J. K., Liu, T., and Zhang, C.: Deforestation Effects on Soil
Erosion in the Lake Kivu Basin, D.R. Congo-Rwanda, Forests, 7, 281,
<a href="https://doi.org/10.3390/f7110281" target="_blank">https://doi.org/10.3390/f7110281</a>, 2016.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib71"><label>Karamage et al.(2017)Karamage, Zhang, Liu, Maganda, and
Isabwe</label><mixed-citation>
      
Karamage, F., Zhang, C., Liu, T., Maganda, A., and Isabwe, A.: Soil Erosion
Risk Assessment in Uganda, Forests, 8, 52, <a href="https://doi.org/10.3390/f8020052" target="_blank">https://doi.org/10.3390/f8020052</a>,
2017.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib72"><label>Kennard and Stone(1969)</label><mixed-citation>
      
Kennard, R. W. and Stone, L. A.: Computer Aided Design of Experiments, Technometrics,
11, 137–148, <a href="https://doi.org/10.1080/00401706.1969.10490666" target="_blank">https://doi.org/10.1080/00401706.1969.10490666</a>, 1969.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib73"><label>Kirsten et al.(2021)Kirsten, Mikutta, Vogel, Thompson, Mueller, Kimaro,
Bergsma, Feger, and Kalbitz</label><mixed-citation>
      
Kirsten, M., Mikutta, R., Vogel, C., Thompson, A., Mueller, C. W., Kimaro,
D. N., Bergsma, H. L. T., Feger, K.-H., and Kalbitz, K.: Iron Oxides and
Aluminous Clays Selectively Control Soil Carbon Storage and Stability in the
Humid Tropics, Scientific Reports, 11, 5076, <a href="https://doi.org/10.1038/s41598-021-84777-7" target="_blank">https://doi.org/10.1038/s41598-021-84777-7</a>, 2021.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib74"><label>Klinge et al.(2004)Klinge, Araujo Martins, Mackensen, and
Fölster</label><mixed-citation>
      
Klinge, R., Araujo Martins, A., Mackensen, J., and Fölster, H.: Element Loss
on Rain Forest Conversion in East Amazonia: Comparison of Balances of
Stores and Fluxes, Biogeochemistry, 69, 63–82, <a href="https://doi.org/10.1023/B:BIOG.0000031040.38388.9b" target="_blank">https://doi.org/10.1023/B:BIOG.0000031040.38388.9b</a>, 2004.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib75"><label>Kögel-Knabner et al.(2008)Kögel-Knabner, Guggenberger, Kleber,
Kandeler, Kalbitz, Scheu, Eusterhues, and
Leinweber</label><mixed-citation>
      
Kögel-Knabner, I., Guggenberger, G., Kleber, M., Kandeler, E., Kalbitz, K.,
Scheu, S., Eusterhues, K., and Leinweber, P.: Organo-Mineral Associations in
Temperate Soils: Integrating Biology, Mineralogy, and Organic Matter
Chemistry, J. Plant Nutr. Soil Sc., 171, 61–82, <a href="https://doi.org/10.1002/jpln.200700048" target="_blank">https://doi.org/10.1002/jpln.200700048</a>, 2008.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib76"><label>Komada et al.(2008)Komada, Anderson, and
Dorfmeier</label><mixed-citation>
      
Komada, T., Anderson, M. R., and Dorfmeier, C. L.: Carbonate Removal from
Coastal Sediments for the Determination of Organic Carbon and Its Isotopic
Signatures, <i>δ</i><sup>13</sup>C and Δ<sup>14</sup>C: Comparison of Fumigation and Direct
Acidification by Hydrochloric Acid, Limnol.
Oceanogr.-Meth., 6, 254–262,
<a href="https://doi.org/10.4319/lom.2008.6.254" target="_blank">https://doi.org/10.4319/lom.2008.6.254</a>, 2008.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib77"><label>Korchagin et al.(2019)Korchagin, Bortoluzzi, Moterle, Petry, and
Caner</label><mixed-citation>
      
Korchagin, J., Bortoluzzi, E. C., Moterle, D. F., Petry, C., and Caner, L.:
Evidences of Soil Geochemistry and Mineralogy Changes Caused by Eucalyptus
Rhizosphere, CATENA, 175, 132–143, <a href="https://doi.org/10.1016/j.catena.2018.12.001" target="_blank">https://doi.org/10.1016/j.catena.2018.12.001</a>, 2019.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib78"><label>Kulimushi et al.(2021)Kulimushi, Choudhari, Mubalama, and
Banswe</label><mixed-citation>
      
Kulimushi, L. C., Choudhari, P., Mubalama, L. K., and Banswe, G. T.: GIS
and Remote Sensing-Based Assessment of Soil Erosion Risk Using RUSLE
Model in South-Kivu Province, Eastern, Democratic Republic of
Congo, Natural Hazards and Risk, 12, 961–987, <a href="https://doi.org/10.1080/19475705.2021.1906759" target="_blank">https://doi.org/10.1080/19475705.2021.1906759</a>, 2021.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib79"><label>Kurniawan et al.(2018)</label><mixed-citation>
      
Kurniawan, S., Corre, M. D., Matson, A. L., Schulte-Bisping, H., Utami, S. R., van Straaten, O., and Veldkamp, E.: Conversion of tropical forests to smallholder rubber and oil palm plantations impacts nutrient leaching losses and nutrient retention efficiency in highly weathered soils, Biogeosciences, 15, 5131–5154, <a href="https://doi.org/10.5194/bg-15-5131-2018" target="_blank">https://doi.org/10.5194/bg-15-5131-2018</a>, 2018.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib80"><label>Laclau et al.(2003)Laclau, Ranger, Nzila, Bouillet, and
Deleporte</label><mixed-citation>
      
Laclau, J.-P., Ranger, J., Nzila, J. d. D., Bouillet, J.-P., and Deleporte, P.:
Nutrient Cycling in a Clonal Stand of <i>Eucalyptus</i> and an
Adjacent Savanna Ecosystem in Congo: 2. Chemical Composition of Soil
Solutions, Forest Ecol. Manag., 180, 527–544, <a href="https://doi.org/10.1016/S0378-1127(02)00645-X" target="_blank">https://doi.org/10.1016/S0378-1127(02)00645-X</a>,
2003.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib81"><label>Laclau et al.(2005)Laclau, Ranger, Deleporte, Nouvellon,
Saint-André, Marlet, and Bouillet</label><mixed-citation>
      
Laclau, J.-P., Ranger, J., Deleporte, P., Nouvellon, Y., Saint-André, L.,
Marlet, S., and Bouillet, J.-P.: Nutrient Cycling in a Clonal Stand of
<i>Eucalyptus</i> and an Adjacent Savanna Ecosystem in Congo:
3. Input–Output Budgets and Consequences for the Sustainability of the
Plantations, Forest Ecol. Manag., 210, 375–391, <a href="https://doi.org/10.1016/j.foreco.2005.02.028" target="_blank">https://doi.org/10.1016/j.foreco.2005.02.028</a>,
2005.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib82"><label>Laganière et al.(2010)Laganière, Angers, and
Paré</label><mixed-citation>
      
Laganière, J., Angers, D. A., and Paré, D.: Carbon Accumulation in
Agricultural Soils after Afforestation: A Meta-Analysis, Glob. Change
Biol., 16, 439–453,
<a href="https://doi.org/10.1111/j.1365-2486.2009.01930.x" target="_blank">https://doi.org/10.1111/j.1365-2486.2009.01930.x</a>, 2010.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib83"><label>Laghmouch et al.(2018)Laghmouch, Kalikone, Ilombe Mawe, Ganza, Safari,
Bachinyaga, Mugisho, Wazi, Nzolang, Delvaux, Dewaele, Fernandez, Mees,
Nimpagaritse, Tack, and Kervyn</label><mixed-citation>
      
Laghmouch, M., Kalikone, C., Ilombe Mawe, G., Ganza, G., Safari, E.,
Bachinyaga, J., Mugisho, E., Wazi, N. R., Nzolang, C., Delvaux, D., Dewaele,
S., Fernandez, M., Mees, F., Nimpagaritse, G., Tack, L., and Kervyn, F.:
Carte Géologique Du Kivu Au 1/500 000 (RD. CONGO), Musée Royal
de l’Afrique Centrale, ISBN 978-94-92669-43-8, 2018.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib84"><label>Lal(2015)</label><mixed-citation>
      
Lal, R.: Restoring Soil Quality to Mitigate Soil Degradation, Sustainability, 7,
5875–5895, <a href="https://doi.org/10.3390/su7055875" target="_blank">https://doi.org/10.3390/su7055875</a>, 2015.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib85"><label>Lambin et al.(2001)Lambin, Turner, Geist, Agbola, Angelsen, Bruce,
Coomes, Dirzo, Fischer, Folke, George, Homewood, Imbernon, Leemans, Li,
Moran, Mortimore, Ramakrishnan, Richards, Skånes, Steffen, Stone, Svedin,
Veldkamp, Vogel, and Xu</label><mixed-citation>
      
Lambin, E. F., Turner, B. L., Geist, H. J., Agbola, S. B., Angelsen, A., Bruce,
J. W., Coomes, O. T., Dirzo, R., Fischer, G., Folke, C., George, P. S.,
Homewood, K., Imbernon, J., Leemans, R., Li, X., Moran, E. F., Mortimore, M.,
Ramakrishnan, P. S., Richards, J. F., Skånes, H., Steffen, W., Stone, G. D.,
Svedin, U., Veldkamp, T. A., Vogel, C., and Xu, J.: The Causes of Land-Use
and Land-Cover Change: Moving beyond the Myths, Global Environ. Change, 11, 261–269,
<a href="https://doi.org/10.1016/S0959-3780(01)00007-3" target="_blank">https://doi.org/10.1016/S0959-3780(01)00007-3</a>, 2001.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib86"><label>Lavallee et al.(2020)Lavallee, Soong, and
Cotrufo</label><mixed-citation>
      
Lavallee, J. M., Soong, J. L., and Cotrufo, M. F.: Conceptualizing Soil Organic
Matter into Particulate and Mineral-Associated Forms to Address Global Change
in the 21st Century, Glob. Change Biol., 26, 261–273, <a href="https://doi.org/10.1111/gcb.14859" target="_blank">https://doi.org/10.1111/gcb.14859</a>, 2020.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib87"><label>Lee et al.(2024)Lee, Dahali, Nik Hashim, Kusin, Mahmud, Kamarudin,
Abdul Jalil, and Lubis</label><mixed-citation>
      
Lee, S. H., Dahali, R., Nik Hashim, N. H., Kusin, M., Mahmud, S. Z., Kamarudin,
N., Abdul Jalil, A. M., and Lubis, M. A. R.: Eucalyptus Plantation
Worldwide, Its Hybridization and Cloning Development, in:
Eucalyptus: Engineered Wood Products and Other Applications, edited
by Lee, S. H., Lum, W. C., Antov, P., Kristak, L., Rahandi Lubis, M. A., and
Fatriasari, W.,  Springer Nature, 1–15, ISBN 978-981-99-7919-6,
<a href="https://doi.org/10.1007/978-981-99-7919-6_1" target="_blank">https://doi.org/10.1007/978-981-99-7919-6_1</a>, 2024.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib88"><label>Leite et al.(2010)</label><mixed-citation>
      
Leite, F. P., Silva, I. R., Novais, R. F., de Barros, N. F.,
and Neves, J. C. L.: Alterations of Soil Chemical Properties by
Eucalyptus Cultivation in Five Regions in the Rio Doce Valley, Rev. Bras. Ciênc. Solo, 34,
821–831, <a href="https://doi.org/10.1590/S0100-06832010000300024" target="_blank">https://doi.org/10.1590/S0100-06832010000300024</a>, 2010.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib89"><label>Lejeune et al.(2013)Lejeune, Ansay, Van Geit, and
Lusenge</label><mixed-citation>
      
Lejeune, G., Ansay, F., Van Geit, M., and Lusenge, T.: ECOmakala: Répondre
à La Demande Énergétique Pour Protéger Les Forêts Du Parc National
Des Virunga Au Nord-Kivu (RDC) et Lutter Contre La Pauvreté, Tech. rep., World Wide Fund for Nature, Bruxelles, Belgium, <a href="https://wwfafrica.awsassets.panda.org/downloads/brochure_wwf_ecomakala_fr2.pdf?25762/ECOmakala" target="_blank"/> (last access: 20 June 2024), 2013.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib90"><label>Lemenih et al.(2004)Lemenih, Olsson, and
Karltun</label><mixed-citation>
      
Lemenih, M., Olsson, M., and Karltun, E.: Comparison of Soil Attributes under
<i>Cupressus lusitanica</i> and <i>Eucalyptus
saligna</i> Established on Abandoned Farmlands with Continuously Cropped
Farmlands and Natural Forest in Ethiopia, Forest Ecol. Manag., 195, 57–67,
<a href="https://doi.org/10.1016/j.foreco.2004.02.055" target="_blank">https://doi.org/10.1016/j.foreco.2004.02.055</a>, 2004.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib91"><label>Lewis and Nyamulinda(1996)</label><mixed-citation>
      
Lewis, L. A. and Nyamulinda, V.: The Critical Role of Human Activities in Land
Degradation in Rwanda, Land Degrad. Dev., 7, 47–55,
<a href="https://doi.org/10.1002/(SICI)1099-145X(199603)7:1&lt;47::AID-LDR213&gt;3.0.CO;2-M" target="_blank">https://doi.org/10.1002/(SICI)1099-145X(199603)7:1&lt;47::AID-LDR213&gt;3.0.CO;2-M</a>, 1996.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib92"><label>Lima et al.(2006)Lima, Silva, Neves, Novais, Barros, Mendonça, Smyth,
Moreira, and Leite</label><mixed-citation>
      
Lima, A. M. N., Silva, I. R., Neves, J. C. L., Novais, R. F., Barros, N. F.,
Mendonça, E. S., Smyth, T. J., Moreira, M. S., and Leite, F. P.: Soil
Organic Carbon Dynamics Following Afforestation of Degraded Pastures with
Eucalyptus in Southeastern Brazil, Forest Ecol. Manag., 235, 219–231,
<a href="https://doi.org/10.1016/j.foreco.2006.08.331" target="_blank">https://doi.org/10.1016/j.foreco.2006.08.331</a>, 2006.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib93"><label>Link et al.(2010)Link, Koehn, Barth, Tiberindwa, Barifaijo, Aanyu, and
Foley</label><mixed-citation>
      
Link, K., Koehn, D., Barth, M. G., Tiberindwa, J. V., Barifaijo, E., Aanyu, K.,
and Foley, S. F.: Continuous Cratonic Crust between the Congo and
Tanzania Blocks in Western Uganda, Int. J. Earth Sci., 99, 1559–1573,
<a href="https://doi.org/10.1007/s00531-010-0548-8" target="_blank">https://doi.org/10.1007/s00531-010-0548-8</a>, 2010.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib94"><label>Majaliwa et al.(2010)Majaliwa, Twongyirwe, Nyenje, Oluka, Ongom, Sirike,
Mfitumukiza, Azanga, Natumanya, Mwerera, and Barasa</label><mixed-citation>
      
Majaliwa, J. G. M., Twongyirwe, R., Nyenje, R., Oluka, M., Ongom, B., Sirike,
J., Mfitumukiza, D., Azanga, E., Natumanya, R., Mwerera, R., and Barasa, B.:
The Effect of Land Cover Change on Soil Properties around
Kibale National Park in South Western Uganda, Applied
and Environmental Soil Science, 2010, e185689,
<a href="https://doi.org/10.1155/2010/185689" target="_blank">https://doi.org/10.1155/2010/185689</a>, 2010.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib95"><label>Maki Mateso et al.(2023)Maki Mateso, Bielders, Monsieurs, Depicker,
Smets, Tambala, Bagalwa Mateso, and
Dewitte</label><mixed-citation>
      
Maki Mateso, J.-C., Bielders, C. L., Monsieurs, E., Depicker, A., Smets, B., Tambala, T., Bagalwa Mateso, L., and Dewitte, O.: Characteristics and causes of natural and human-induced landslides in a tropical mountainous region: the rift flank west of Lake Kivu (Democratic Republic of the Congo), Nat. Hazards Earth Syst. Sci., 23, 643–666, <a href="https://doi.org/10.5194/nhess-23-643-2023" target="_blank">https://doi.org/10.5194/nhess-23-643-2023</a>, 2023.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib96"><label>Mallen-Cooper et al.(2022)Mallen-Cooper, Atkinson, Xirocostas, Wijas,
Chiarenza, Dadzie, and Eldridge</label><mixed-citation>
      
Mallen-Cooper, M., Atkinson, J., Xirocostas, Z. A., Wijas, B., Chiarenza,
G. M., Dadzie, F. A., and Eldridge, D. J.: Global Synthesis Reveals Strong
Multifaceted Effects of Eucalypts on Soils, Global Ecol. Biogeogr., 31, 1667–1678,
<a href="https://doi.org/10.1111/geb.13522" target="_blank">https://doi.org/10.1111/geb.13522</a>, 2022.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib97"><label>Markewitz et al.(2004)Markewitz, Davidson, Moutinho, and
Nepstad</label><mixed-citation>
      
Markewitz, D., Davidson, E., Moutinho, P., and Nepstad, D.: Nutrient Loss
and Redistribution After Forest Clearing on a Highly Weathered Soil
in Amazonia, Ecol. Appl., 14, 177–199, <a href="https://doi.org/10.1890/01-6016" target="_blank">https://doi.org/10.1890/01-6016</a>, 2004.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib98"><label>Marín-Spiotta and Sharma(2013)</label><mixed-citation>
      
Marín-Spiotta, E. and Sharma, S.: Carbon Storage in Successional and
Plantation Forest Soils: A Tropical Analysis, Global Ecol. Biogeogr., 22, 105–117,
<a href="https://doi.org/10.1111/j.1466-8238.2012.00788.x" target="_blank">https://doi.org/10.1111/j.1466-8238.2012.00788.x</a>, 2013.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib99"><label>May-Tobin et al.(2011)May-Tobin, Boucher, Elias, Lininger, Roquemore, and
Saxon</label><mixed-citation>
      
May-Tobin, C., Boucher, D., Elias, P., Lininger, K., Roquemore, S., and Saxon,
E.: Wood for Fuel, Tech. rep., Union of Concerned Scientists,
<a href="https://www.jstor.org/stable/resrep00075.14" target="_blank"/> (last access: 20 June 2024), 2011.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib100"><label>McLean(1965)</label><mixed-citation>
      
McLean, E. O.: Aluminum, in: Methods of Soil Analysis, pp. 978–998, John
Wiley &amp; Sons, Ltd, ISBN 978-0-89118-204-7, <a href="https://doi.org/10.2134/agronmonogr9.2.c16" target="_blank">https://doi.org/10.2134/agronmonogr9.2.c16</a>, 1965.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib101"><label>Melkebeke(2020)</label><mixed-citation>
      
Melkebeke, S. V.: Dissimilar Coffee Frontiers: Mobilizing Labor and Land in
the Lake Kivu Region, Congo and Rwanda (1918-1960/62), African History ; 9,
BRILL, ISBN 90-04-42849-6, 2020.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib102"><label>Mikutta and Kaiser(2011)</label><mixed-citation>
      
Mikutta, R. and Kaiser, K.: Organic Matter Bound to Mineral Surfaces:
Resistance to Chemical and Biological Oxidation, Soil Biol.
Biochem., 43, 1738–1741,
<a href="https://doi.org/10.1016/j.soilbio.2011.04.012" target="_blank">https://doi.org/10.1016/j.soilbio.2011.04.012</a>, 2011.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib103"><label>Moebius-Clune et al.(2011)</label><mixed-citation>
      
Moebius-Clune, B. N., van Es, H. M., Idowu, O. J.,
Schindelbeck, R. R., Kimetu, J. M., Ngoze, S., Lehmann, J., and Kinyangi,
J. M.: Long-Term Soil Quality Degradation along a Cultivation Chronosequence
in Western Kenya, Ecosystems &amp; Environment, 141, 86–99, <a href="https://doi.org/10.1016/j.agee.2011.02.018" target="_blank">https://doi.org/10.1016/j.agee.2011.02.018</a>, 2011.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib104"><label>Muchena et al.(2005)</label><mixed-citation>
      
Muchena, F. N., Onduru, D. D., Gachini, G. N., and de Jager, A.: Turning the Tides of Soil Degradation in Africa: Capturing the
Reality and Exploring Opportunities, Land Use Policy,  22, 23–31,
<a href="https://doi.org/10.1016/j.landusepol.2003.07.001" target="_blank">https://doi.org/10.1016/j.landusepol.2003.07.001</a>, 2005.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib105"><label>Mutegeza Mushitwala(2020)</label><mixed-citation>
      
Mutegeza Mushitwala, D.: Rapport Bi-Annuel 2018–2019, Tech. rep., Inspection Provinciale De l’agriculture du Sud-Kivu, South Kivu,
Democratic Republic of Congo, 2020.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib106"><label>Namirembe et al.(2020)</label><mixed-citation>
      
Namirembe, S., Piikki, K., Sommer, R., Söderström, M., Tessema, B., and
Nyawira, S.: Soil Organic Carbon in Agricultural Systems
of Six Countries in East Africa – a Literature Review of Status and
Carbon Sequestration Potential, South African Journal of Plant and Soil, 37, 35–49,
<a href="https://doi.org/10.1080/02571862.2019.1640296" target="_blank">https://doi.org/10.1080/02571862.2019.1640296</a>, 2020.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib107"><label>Nepstad et al.(1994)</label><mixed-citation>
      
Nepstad, D. C., de Carvalho, C. R., Davidson, E. A.,
Jipp, P. H., Lefebvre, P. A., Negreiros, G. H., da Silva, E. D.,
Stone, T. A., Trumbore, S. E., and Vieira, S.: The Role of Deep Roots
in the Hydrological and Carbon Cycles of Amazonian Forests and Pastures, Nature,
372, 666–669, <a href="https://doi.org/10.1038/372666a0" target="_blank">https://doi.org/10.1038/372666a0</a>, 1994.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib108"><label>Newbury(2010)</label><mixed-citation>
      
Newbury, D. S.: Kings and Clans: Ijwi Island and the Lake Kivu Rift,
1780–1840, in: Kings and Clans Ijwi Island and the Lake Kivu Rift, 1780–1840,
WISEdition, University of Wisconsin Press, ISBN 0-299-12894-6, 2010.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib109"><label>Ng et al.(2022)Ng, Minasny, Jeon, and McBratney</label><mixed-citation>
      
Ng, W., Minasny, B., Jeon, S. H., and McBratney, A.: Mid-Infrared Spectroscopy
for Accurate Measurement of an Extensive Set of Soil Properties for Assessing
Soil Functions, Soil Security, 6, 100043, <a href="https://doi.org/10.1016/j.soisec.2022.100043" target="_blank">https://doi.org/10.1016/j.soisec.2022.100043</a>, 2022.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib110"><label>Ngoze et al.(2008)Ngoze, Riha, Lehmann, Verchot, Kinyangi, Mbugua, and
Pell</label><mixed-citation>
      
Ngoze, S., Riha, S., Lehmann, J., Verchot, L., Kinyangi, J., Mbugua, D., and
Pell, A.: Nutrient Constraints to Tropical Agroecosystem Productivity in
Long-Term Degrading Soils, Glob. Change Biol., 14, 2810–2822,
<a href="https://doi.org/10.1111/j.1365-2486.2008.01698.x" target="_blank">https://doi.org/10.1111/j.1365-2486.2008.01698.x</a>, 2008.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib111"><label>Nye and Greenland(1964)</label><mixed-citation>
      
Nye, P. H. and Greenland, D. J.: Changes in the Soil after Clearing Tropical
Forest, Plant Soil, 21, 101–112, <a href="https://doi.org/10.1007/BF01373877" target="_blank">https://doi.org/10.1007/BF01373877</a>, 1964.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib112"><label>Odeh et al.(2003)Odeh, Todd, and Triantafilis</label><mixed-citation>
      
Odeh, I. O. A., Todd, A. J., and Triantafilis, J.: Spatial Prediction of
Soil Particle-size Fractions as Compositional Data, Soil Sci., 168, 501,
<a href="https://doi.org/10.1097/01.ss.0000080335.10341.23" target="_blank">https://doi.org/10.1097/01.ss.0000080335.10341.23</a>, 2003.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib113"><label>Paul et al.(2008)Paul, Flessa, Veldkamp, and
López-Ulloa</label><mixed-citation>
      
Paul, S., Flessa, H., Veldkamp, E., and López-Ulloa, M.: Stabilization of
Recent Soil Carbon in the Humid Tropics Following Land Use Changes: Evidence
from Aggregate Fractionation and Stable Isotope Analyses, Biogeochemistry, 87, 247–263,
<a href="https://doi.org/10.1007/s10533-008-9182-y" target="_blank">https://doi.org/10.1007/s10533-008-9182-y</a>, 2008.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib114"><label>Pauwels et al.(1992)Pauwels, Van Ranst, and Verloo</label><mixed-citation>
      
Pauwels, J. M., Van Ranst, E., and Verloo, M.: Manuel de Laboratoire de
Pédologie: Méthodes d'analyse de Sols et de Plantes, Équipement, Gestion
de Stocks de Verrerie et de Produits Chimiques, no. 28 in AGCD.
Publications Agricoles, Centre universitaire de Dschang. Département des
sciences du sol, <a href="http://hdl.handle.net/1854/LU-223183" target="_blank"/> (last access: 20 June 2024), 1992.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib115"><label>Posit team(2023)</label><mixed-citation>
      
Posit team: RStudio: Integrated Development Environment for R, R, Tech. rep., Posit Software, PBC,
<a href="http://www.posit.co/" target="_blank"/> (last access: 10 May 2026), 2023.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib116"><label>Pouclet and Bram(2021)</label><mixed-citation>
      
Pouclet, A. and Bram, K.: Nyiragongo and Nyamuragira: A Review of Volcanic
Activity in the Kivu Rift, Western Branch of the East African Rift
System, B. Volcanol., 83, 10, <a href="https://doi.org/10.1007/s00445-021-01435-6" target="_blank">https://doi.org/10.1007/s00445-021-01435-6</a>, 2021.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib117"><label>Pouclet et al.(2016)Pouclet, Bellon, and Bram</label><mixed-citation>
      
Pouclet, A., Bellon, H., and Bram, K.: The Cenozoic Volcanism in the
Kivu Rift: Assessment of the Tectonic Setting, Geochemistry, and
Geochronology of the Volcanic Activity in the South-Kivu and Virunga
Regions, J. Afr. Earth Sci., 121, 219–246, <a href="https://doi.org/10.1016/j.jafrearsci.2016.05.026" target="_blank">https://doi.org/10.1016/j.jafrearsci.2016.05.026</a>, 2016.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib118"><label>Powers et al.(2011)Powers, Corre, Twine, and
Veldkamp</label><mixed-citation>
      
Powers, J. S., Corre, M. D., Twine, T. E., and Veldkamp, E.: Geographic Bias of
Field Observations of Soil Carbon Stocks with Tropical Land-Use Changes
Precludes Spatial Extrapolation, P. Natl. Acad. Sci. USA, 108, 6318–6322,
<a href="https://doi.org/10.1073/pnas.1016774108" target="_blank">https://doi.org/10.1073/pnas.1016774108</a>, 2011.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib119"><label>Prosser et al.(1993)Prosser, Hailes, Melville, Avery, and
Slade</label><mixed-citation>
      
Prosser, I. P., Hailes, K. J., Melville, M. D., Avery, R. P., and Slade, C. J.:
A Comparison of Soil Acidification and Aluminum under Eucalyptus Forest
and Unimproved Pasture, Soil Res., 31, 245–254, <a href="https://doi.org/10.1071/sr9930245" target="_blank">https://doi.org/10.1071/sr9930245</a>, 1993.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib120"><label>Quesada et al.(2020)Quesada, Paz, Oblitas Mendoza, Phillips, Saiz, and
Lloyd</label><mixed-citation>
      
Quesada, C. A., Paz, C., Oblitas Mendoza, E., Phillips, O. L., Saiz, G., and Lloyd, J.: Variations in soil chemical and physical properties explain basin-wide Amazon forest soil carbon concentrations, SOIL, 6, 53–88, <a href="https://doi.org/10.5194/soil-6-53-2020" target="_blank">https://doi.org/10.5194/soil-6-53-2020</a>, 2020.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib121"><label>R Core Team(2023)</label><mixed-citation>
      
R Core Team: R: A Language and Environment for Statistical
Computing, <a href="https://www.R-project.org/" target="_blank"/> (last access: 10 May 2026), 2023.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib122"><label>Ramirez‐Lopez et al.(2019)Ramirez‐Lopez, Wadoux, Franceschini, Terra,
Marques, Sayão, and Demattê</label><mixed-citation>
      
Ramirez‐Lopez, L., Wadoux, A. M. J., Franceschini, M. H. D., Terra, F. S.,
Marques, K. P. P., Sayão, V. M., and Demattê, J. A. M.: Robust Soil Mapping
at the Farm Scale with Vis–NIR Spectroscopy, 70, 378–393,
<a href="https://doi.org/10.1111/ejss.12752" target="_blank">https://doi.org/10.1111/ejss.12752</a>, 2019.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib123"><label>Ramirez-Lopez et al.(2024)Ramirez-Lopez, Stevens, Orellano,
Viscarra Rossel, Shen, Wadoux, and Breure</label><mixed-citation>
      
Ramirez-Lopez, L., Stevens, A., Orellano, C., Viscarra Rossel, R., Shen, Z.,
Wadoux, A., and Breure, T.: Resemble: Regression and Similarity
Evaluation for Memory-Based Learning in Spectral Chemometrics, R Package
Version 2.2.3, <a href="https://CRAN.R-project.org/package=resemble" target="_blank"/>, last access: 3 April 2024.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib124"><label>Rasmussen et al.(2018)Rasmussen, Heckman, Wieder, Keiluweit, Lawrence,
Berhe, Blankinship, Crow, Druhan, Hicks Pries, Marin-Spiotta, Plante,
Schädel, Schimel, Sierra, Thompson, and Wagai</label><mixed-citation>
      
Rasmussen, C., Heckman, K., Wieder, W. R., Keiluweit, M., Lawrence, C. R.,
Berhe, A. A., Blankinship, J. C., Crow, S. E., Druhan, J. L., Hicks Pries,
C. E., Marin-Spiotta, E., Plante, A. F., Schädel, C., Schimel, J. P.,
Sierra, C. A., Thompson, A., and Wagai, R.: Beyond Clay: Towards an Improved
Set of Variables for Predicting Soil Organic Matter Content, Biogeochemistry, 137, 297–306,
<a href="https://doi.org/10.1007/s10533-018-0424-3" target="_blank">https://doi.org/10.1007/s10533-018-0424-3</a>, 2018.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib125"><label>Reichenbach et al.(2021)Reichenbach, Fiener, Garland,
Griepentrog, Six, and Doetterl</label><mixed-citation>
      
Reichenbach, M., Fiener, P., Garland, G., Griepentrog, M., Six, J., and Doetterl, S.: The role of geochemistry in organic carbon stabilization against microbial decomposition in tropical rainforest soils, SOIL, 7, 453–475, <a href="https://doi.org/10.5194/soil-7-453-2021" target="_blank">https://doi.org/10.5194/soil-7-453-2021</a>, 2021.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib126"><label>Reichenbach et al.(2023)Reichenbach, Fiener, Hoyt,
Trumbore, Six, and Doetterl</label><mixed-citation>
      
Reichenbach, M., Fiener, P., Hoyt, A., Trumbore, S., Six, J., and Doetterl, S.:
Soil Carbon Stocks in Stable Tropical Landforms Are Dominated by Geochemical
Controls and Not by Land Use, Glob. Change Biol., 29, 2591–2607, <a href="https://doi.org/10.1111/gcb.16622" target="_blank">https://doi.org/10.1111/gcb.16622</a>,
2023.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib127"><label>Roose and Barthès(2001)</label><mixed-citation>
      
Roose, E. and Barthès, B.: Organic Matter Management for Soil Conservation and
Productivity Restoration in Africa: A Contribution from Francophone
Research, Nutr. Cycl. Agroecosys., 61, 159–170, <a href="https://doi.org/10.1023/A:1013349731671" target="_blank">https://doi.org/10.1023/A:1013349731671</a>, 2001.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib128"><label>Rudel et al.(2009)Rudel, Defries, Asner, and
Laurance</label><mixed-citation>
      
Rudel, T. K., Defries, R., Asner, G. P., and Laurance, W. F.: Changing
Drivers of Deforestation and New Opportunities for
Conservation, Conserv. Biol., 23, 1396–1405, <a href="https://doi.org/10.1111/j.1523-1739.2009.01332.x" target="_blank">https://doi.org/10.1111/j.1523-1739.2009.01332.x</a>, 2009.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib129"><label>Ruff et al.(2007)Ruff, Wacker, Gäggeler, Suter, Synal, and
Szidat</label><mixed-citation>
      
Ruff, M., Wacker, L., Gäggeler, H. W., Suter, M., Synal, H.-A., and Szidat,
S.: A Gas Ion Source for Radiocarbon Measurements at 200&thinsp;kV, Radiocarbon, 49,
307–314, <a href="https://doi.org/10.1017/S0033822200042235" target="_blank">https://doi.org/10.1017/S0033822200042235</a>, 2007.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib130"><label>Sanchez and Logan(1992)</label><mixed-citation>
      
Sanchez, P. A. and Logan, T. J.: Myths and Science about the Chemistry
and Fertility of Soils in the Tropics, in: Myths and Science
of Soils of the Tropics,  John Wiley &amp; Sons, Ltd, 35–46, ISBN
978-0-89118-924-4, <a href="https://doi.org/10.2136/sssaspecpub29.c3" target="_blank">https://doi.org/10.2136/sssaspecpub29.c3</a>, 1992.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib131"><label>Sanderman et al.(2020)Sanderman, Savage, and
Dangal</label><mixed-citation>
      
Sanderman, J., Savage, K., and Dangal, S. R.: Mid‐infrared Spectroscopy for
Prediction of Soil Health Indicators in the United States, Soil
Sci. Soc. Am. J., 84, 251–261,
<a href="https://doi.org/10.1002/saj2.20009" target="_blank">https://doi.org/10.1002/saj2.20009</a>, 2020.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib132"><label>Six et al.(2002.)Six, Feller, Denef, Ogle, De Moraes, and
Albrecht</label><mixed-citation>
      
Six, J., Feller, C., Denef, K., Ogle, S. M., De Moraes, J. C., and Albrecht,
A.: Soil Organic Matter, Biota and Aggregation in Temperateand Tropical Soils
– Effects of No-Tillage, Agronomie, 22, 755–775, <a href="https://doi.org/10.1051/agro:2002043" target="_blank">https://doi.org/10.1051/agro:2002043</a>, 2002.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib133"><label>Soares and Alleoni(2008)</label><mixed-citation>
      
Soares, M. R. and Alleoni, L. R. F.: Contribution of Soil Organic Carbon to
the Ion Exchange Capacity of Tropical Soils, J.
Sustain. Agr., 32, 439–462,
<a href="https://doi.org/10.1080/10440040802257348" target="_blank">https://doi.org/10.1080/10440040802257348</a>, 2008.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib134"><label>Souza et al.(2017)Souza, Almeida, Jesus, Kleber, and
Silva</label><mixed-citation>
      
Souza, I. F., Almeida, L. F. J., Jesus, G. L., Kleber, M., and Silva, I. R.:
The Mechanisms of Organic Carbon Protection and Dynamics of C-saturation
in Oxisols Vary with Particle-Size Distribution, Eur. J. Soil Sci., 68, 726–739,
<a href="https://doi.org/10.1111/ejss.12463" target="_blank">https://doi.org/10.1111/ejss.12463</a>, 2017.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib135"><label>Sparks et al.(2022)Sparks, Singh, and
Siebecker</label><mixed-citation>
      
Sparks, D. L., Singh, B., and Siebecker, M. G.: Environmental Soil
Chemistry, Elsevier, ISBN 978-0-443-14035-8, 2022.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib136"><label>Stallard(1998)</label><mixed-citation>
      
Stallard, R. F.: Terrestrial Sedimentation and the Carbon Cycle: Coupling
Weathering and Erosion to Carbon Burial, Glob. Biogeochemical
Cy., 12, 231–257,
<a href="https://doi.org/10.1029/98GB00741" target="_blank">https://doi.org/10.1029/98GB00741</a>, 1998.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib137"><label>Stevens and Ramirez-Lopez(2024)</label><mixed-citation>
      
Stevens, A. and Ramirez-Lopez, L.: An Introduction to the Prospectr Package.
R Package Version 0.2.7, GitHub [code],
<a href="https://github.com/l-ramirez-lopez/prospectr" target="_blank"/>, last access: 3 April 2024.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib138"><label>Stoner et al.(2023)Stoner, Trumbore, González-Pérez, Schrumpf, Sierra,
Hoyt, Chadwick, and Doetterl</label><mixed-citation>
      
Stoner, S., Trumbore, S. E., González-Pérez, J. A., Schrumpf, M., Sierra,
C. A., Hoyt, A. M., Chadwick, O., and Doetterl, S.: Relating
Mineral–Organic Matter Stabilization Mechanisms to Carbon Quality and Age
Distributions Using Ramped Thermal Analysis, Philos. T.
R. Soc. A, 381, 20230139,
<a href="https://doi.org/10.1098/rsta.2023.0139" target="_blank">https://doi.org/10.1098/rsta.2023.0139</a>, 2023.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib139"><label>Stucki et al.(1987)Stucki, Goodman, and Schwertmann</label><mixed-citation>
      
Stucki, J. W., Goodman, B. A., and Schwertmann, U., eds.: Iron in Soils and
Clay Minerals, Springer Netherlands, ISBN 978-94-010-8278-5
978-94-009-4007-9, <a href="https://doi.org/10.1007/978-94-009-4007-9" target="_blank">https://doi.org/10.1007/978-94-009-4007-9</a>, 1987.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib140"><label>Stuiver and Polach(1977)</label><mixed-citation>
      
Stuiver, M. and Polach, H. A.: Discussion Reporting of <sup>14</sup>C Data, Radiocarbon, 19,
355–363, <a href="https://doi.org/10.1017/S0033822200003672" target="_blank">https://doi.org/10.1017/S0033822200003672</a>, 1977.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib141"><label>Summerauer(2026)</label><mixed-citation>
      
Summerauer, L.: laura-summerauer/soildeg-easternafrica-publication: final submission (v.1), Zenodo [code and data set], <a href="https://doi.org/10.5281/zenodo.20326820" target="_blank">https://doi.org/10.5281/zenodo.20326820</a>, 2026.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib142"><label>Summerauer et al.(2021)Summerauer, Baumann, Ramirez-Lopez, Barthel,
Bauters, Bukombe, Reichenbach, Boeckx, Kearsley, Van Oost, Vanlauwe,
Chiragaga, Heri-Kazi, Moonen, Sila, Shepherd, Bazirake Mujinya, Van Ranst,
Baert, Doetterl, and Six</label><mixed-citation>
      
Summerauer, L., Baumann, P., Ramirez-Lopez, L., Barthel, M., Bauters, M., Bukombe, B., Reichenbach, M., Boeckx, P., Kearsley, E., Van Oost, K., Vanlauwe, B., Chiragaga, D., Heri-Kazi, A. B., Moonen, P., Sila, A., Shepherd, K., Bazirake Mujinya, B., Van Ranst, E., Baert, G., Doetterl, S., and Six, J.: The central African soil spectral library: a new soil infrared repository and a geographical prediction analysis, SOIL, 7, 693–715, <a href="https://doi.org/10.5194/soil-7-693-2021" target="_blank">https://doi.org/10.5194/soil-7-693-2021</a>, 2021.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib143"><label>Tererai et al.(2015)Tererai, Gaertner, Jacobs, and
Richardson</label><mixed-citation>
      
Tererai, F., Gaertner, M., Jacobs, S. M., and Richardson, D. M.: Eucalyptus
Camaldulensis Invasion in Riparian Zones Reveals Few Significant
Effects on Soil Physico-Chemical Properties, River Res. Appl., 31, 590–601,
<a href="https://doi.org/10.1002/rra.2762" target="_blank">https://doi.org/10.1002/rra.2762</a>, 2015.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib144"><label>Tisdall and Oades(1982)</label><mixed-citation>
      
Tisdall, J. M. and Oades, J. M.: Organic Matter and Water-Stable Aggregates in
Soils, J. Soil Sci., 33, 141–163, <a href="https://doi.org/10.1111/j.1365-2389.1982.tb01755.x" target="_blank">https://doi.org/10.1111/j.1365-2389.1982.tb01755.x</a>, 1982.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib145"><label>Tugel et al.(2005)Tugel, Herrick, Brown, Mausbach, Puckett, and
Hipple</label><mixed-citation>
      
Tugel, A. J., Herrick, J. E., Brown, J. R., Mausbach, M. J., Puckett, W., and
Hipple, K.: Soil Change, Soil Survey, and Natural Resources
Decision Making, Soil Sci. Soc. Am. J., 69, 738–747, <a href="https://doi.org/10.2136/sssaj2004.0163" target="_blank">https://doi.org/10.2136/sssaj2004.0163</a>, 2005.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib146"><label>Tully et al.(2015)Tully, Sullivan, Weil, and Sanchez</label><mixed-citation>
      
Tully, K., Sullivan, C., Weil, R., and Sanchez, P.: The State of Soil
Degradation in Sub-Saharan Africa: Baselines, Trajectories, and
Solutions, Sustainability, 7, 6523–6552, <a href="https://doi.org/10.3390/su7066523" target="_blank">https://doi.org/10.3390/su7066523</a>, 2015.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib147"><label>Tyukavina et al.(2018)Tyukavina, Hansen, Potapov, Parker, Okpa, Stehman,
Kommareddy, and Turubanova</label><mixed-citation>
      
Tyukavina, A., Hansen, M. C., Potapov, P., Parker, D., Okpa, C., Stehman,
S. V., Kommareddy, I., and Turubanova, S.: Congo Basin Forest Loss
Dominated by Increasing Smallholder Clearing, Science Advances, 4, 1–12,
<a href="https://doi.org/10.1126/sciadv.aat2993" target="_blank">https://doi.org/10.1126/sciadv.aat2993</a>, 2018.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib148"><label>Uganda Investment
Authority(2020)</label><mixed-citation>
      
Uganda Investment Authority: Agriculture Sector Investment Profile:
Rwenzori Region, Tech. rep., Uganda Investment Authority,
<a href="https://ugandainvest.go.ug/wp-content/uploads/2020/11/Agriculture-Sector-Investment-Profile-Rwenzori-Region.pdf" target="_blank"/> (last access: 20 June 2024), 2020.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib149"><label>Vågen et al.(2020)Vågen, Winowiecki, Desta, Tondoh,
Weullow, Shepherd, and Sila</label><mixed-citation>
      
Vågen, T.-G., Winowiecki, L. A., Desta, L., Tondoh, E. J., Weullow, E.,
Shepherd, K., and Sila, A.: Mid-Infrared Spectra (MIRS) from ICRAF
Soil and Plant Spectroscopy Laboratory: Africa Soil Information
Service (AfSIS) Phase I 2009–2013, World Agroforestry – Research Data  Repository [data set], <a href="https://doi.org/10.34725/DVN/QXCWP1" target="_blank">https://doi.org/10.34725/DVN/QXCWP1</a>,
2020.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib150"><label>Vågen et al.(2022)Vågen, Winowiecki, Desta, Tondoh,
Weullow, Shepherd, Sila, Dunham, Hernández-Allica, Carter, and
McGrath</label><mixed-citation>
      
Vågen, T.-G., Winowiecki, L. A., Desta, L., Tondoh, J., Weullow, E., Shepherd,
K., Sila, A., Dunham, S. J., Hernández-Allica, J., Carter, J., and McGrath,
S. P.: Wet Chemistry Data for a Subset of AfSIS: Phase I Archived
Soil Samples, World Agroforestry [data set], <a href="https://doi.org/10.34725/DVN/66BFOB" target="_blank">https://doi.org/10.34725/DVN/66BFOB</a>, 2022.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib151"><label>Van Oost and Six(2023)</label><mixed-citation>
      
Van Oost, K. and Six, J.: Reconciling the paradox of soil organic carbon erosion by water, Biogeosciences, 20, 635–646, <a href="https://doi.org/10.5194/bg-20-635-2023" target="_blank">https://doi.org/10.5194/bg-20-635-2023</a>, 2023.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib152"><label>Van Oost et al.(2012)Van Oost, Verstraeten, Doetterl, Notebaert, Wiaux,
Broothaerts, and Six</label><mixed-citation>
      
Van Oost, K., Verstraeten, G., Doetterl, S., Notebaert, B., Wiaux, F.,
Broothaerts, N., and Six, J.: Legacy of Human-Induced C Erosion and
Burial on Soil–Atmosphere C Exchange, P. Natl. Acad. Sci. USA, 109, 19492–19497,
<a href="https://doi.org/10.1073/pnas.1211162109" target="_blank">https://doi.org/10.1073/pnas.1211162109</a>, 2012.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib153"><label>Vanacker et al.(2019)Vanacker, Ameijeiras-Mariño, Schoonejans,
Cornélis, Minella, Lamouline, Vermeire, Campforts, Robinet, Van de Broek,
Delmelle, and Opfergelt</label><mixed-citation>
      
Vanacker, V., Ameijeiras-Mariño, Y., Schoonejans, J., Cornélis, J.-T.,
Minella, J. P. G., Lamouline, F., Vermeire, M.-L., Campforts, B., Robinet,
J., Van de Broek, M., Delmelle, P., and Opfergelt, S.: Land Use Impacts on
Soil Erosion and Rejuvenation in Southern Brazil, CATENA, 178, 256–266,
<a href="https://doi.org/10.1016/j.catena.2019.03.024" target="_blank">https://doi.org/10.1016/j.catena.2019.03.024</a>, 2019.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib154"><label>van Straaten et al.(2015)</label><mixed-citation>
      
van Straaten, O., Corre, M. D., Wolf, K., Tchienkoua, M.,
Cuellar, E., Matthews, R. B., and Veldkamp, E.: Conversion of Lowland
Tropical Forests to Tree Cash Crop Plantations Loses up to One-Half of Stored
Soil Organic Carbon, P. Natl. Acad. Sci. USA, 112, 9956–9960, <a href="https://doi.org/10.1073/pnas.1504628112" target="_blank">https://doi.org/10.1073/pnas.1504628112</a>, 2015.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib155"><label>Veldkamp et al.(2020)Veldkamp, Schmidt, Powers, and
Corre</label><mixed-citation>
      
Veldkamp, E., Schmidt, M., Powers, J. S., and Corre, M. D.: Deforestation and
Reforestation Impacts on Soils in the Tropics, Nature Reviews
Earth &amp; Environment, 1, 590–605,
<a href="https://doi.org/10.1038/s43017-020-0091-5" target="_blank">https://doi.org/10.1038/s43017-020-0091-5</a>, 2020.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib156"><label>Vinogradov(1980)</label><mixed-citation>
      
Vinogradov, V. I.: C<sup>13</sup>∕C<sup>12</sup> and O<sup>18</sup>∕O<sup>16</sup> Ratios and
C<sup>14</sup> Concentration in Carbonatites of the Kaliango Volcano (East
Africa), Int.
Geol. Rev., 22, 51–57, <a href="https://doi.org/10.1080/00206818209466862" target="_blank">https://doi.org/10.1080/00206818209466862</a>, 1980.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib157"><label>Vitousek et al.(2003)Vitousek, Chadwick, Matson, Allison, Derry, Kettley,
Luers, Mecking, Monastra, and Porder</label><mixed-citation>
      
Vitousek, P., Chadwick, O., Matson, P., Allison, S., Derry, L., Kettley, L.,
Luers, A., Mecking, E., Monastra, V., and Porder, S.: Erosion and the
Rejuvenation of Weathering-derived Nutrient Supply in an Old
Tropical Landscape, Ecosystems, 6, 762–772, <a href="https://doi.org/10.1007/s10021-003-0199-8" target="_blank">https://doi.org/10.1007/s10021-003-0199-8</a>, 2003.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib158"><label>Vollset et al.(2020)Vollset, Goren, Yuan, Cao, Smith, Hsiao, Bisignano,
Azhar, Castro, Chalek, Dolgert, Frank, Fukutaki, Hay, Lozano, Mokdad,
Nandakumar, Pierce, Pletcher, Robalik, Steuben, Wunrow, Zlavog, and
Murray</label><mixed-citation>
      
Vollset, S. E., Goren, E., Yuan, C.-W., Cao, J., Smith, A. E., Hsiao, T.,
Bisignano, C., Azhar, G. S., Castro, E., Chalek, J., Dolgert, A. J., Frank,
T., Fukutaki, K., Hay, S. I., Lozano, R., Mokdad, A. H., Nandakumar, V.,
Pierce, M., Pletcher, M., Robalik, T., Steuben, K. M., Wunrow, H. Y., Zlavog,
B. S., and Murray, C. J. L.: Fertility, Mortality, Migration, and Population
Scenarios for 195 Countries and Territories from 2017 to 2100: A Forecasting
Analysis for the Global Burden of Disease Study, The Lancet, 396, 1285–1306,
<a href="https://doi.org/10.1016/S0140-6736(20)30677-2" target="_blank">https://doi.org/10.1016/S0140-6736(20)30677-2</a>, 2020.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib159"><label>Wambede et al.()Wambede, Joyfred, and Remigio</label><mixed-citation>
      
Wambede, N. M., Joyfred, A., and Remigio, T.: Soil Loss under Different
Cropping Systems in Highlands of Uganda, Universal Journal of
Agricultural Research, 4, 217–229,
<a href="https://doi.org/10.13189/ujar.2016.040601" target="_blank">https://doi.org/10.13189/ujar.2016.040601</a>, 2016.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib160"><label>Wasige et al.(2014)Wasige, Groen, Rwamukwaya, Tumwesigye, Smaling, and
Jetten</label><mixed-citation>
      
Wasige, J. E., Groen, T. A., Rwamukwaya, B. M., Tumwesigye, W., Smaling, E.
M. A., and Jetten, V.: Contemporary Land Use/Land Cover Types Determine Soil
Organic Carbon Stocks in South-West Rwanda, Nutr. Cycl. Agroecosys., 100, 19–33,
<a href="https://doi.org/10.1007/s10705-014-9623-z" target="_blank">https://doi.org/10.1007/s10705-014-9623-z</a>, 2014.


    </mixed-citation></ref-html>
<ref-html id="bib1.bib161"><label>Wells et al.(2023)Wells, Stringer, Woodhead, and
Wandrag</label><mixed-citation>
      
Wells, J. J., Stringer, L. C., Woodhead, A. J., and Wandrag, E. M.: Towards a
Holistic Understanding of Non-Native Tree Impacts on Ecosystem Services:
A Review of Acacia, Eucalyptus and Pinus in Africa, Ecosyst. Serv., 60,
101511, <a href="https://doi.org/10.1016/j.ecoser.2023.101511" target="_blank">https://doi.org/10.1016/j.ecoser.2023.101511</a>, 2023.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib162"><label>Wickham(2016)</label><mixed-citation>
      
Wickham, H.: Ggplot2: Elegant Graphics for Data Analysis,
<a href="https://ggplot2.tidyverse.org" target="_blank"/> (last access: 10 May 2026), 2016.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib163"><label>Wieder et al.(2015)Wieder, Grandy, Kallenbach, Taylor, and
Bonan</label><mixed-citation>
      
Wieder, W. R., Grandy, A. S., Kallenbach, C. M., Taylor, P. G., and Bonan, G. B.: Representing life in the Earth system with soil microbial functional traits in the MIMICS model, Geosci. Model Dev., 8, 1789–1808, <a href="https://doi.org/10.5194/gmd-8-1789-2015" target="_blank">https://doi.org/10.5194/gmd-8-1789-2015</a>, 2015.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib164"><label>Wilken et al.(2021)</label><mixed-citation>
      
Wilken, F., Fiener, P., Ketterer, M., Meusburger, K., Muhindo, D. I., van Oost, K., and Doetterl, S.: Assessing soil redistribution of forest and cropland sites in wet tropical Africa using <sup>239+240</sup>Pu fallout radionuclides, SOIL, 7, 399–414, <a href="https://doi.org/10.5194/soil-7-399-2021" target="_blank">https://doi.org/10.5194/soil-7-399-2021</a>, 2021.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib165"><label>WorldPop(2020)</label><mixed-citation>
      
WorldPop: The Spatial Distribution of Population Density in 2020,
Democratic Republic of Congo, WorldPop Hub [data set], <a href="https://doi.org/10.5258/SOTON/WP00674" target="_blank">https://doi.org/10.5258/SOTON/WP00674</a>, 2020.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib166"><label>Wu et al.(2023)Wu, Konhauser, Chen, and Huang</label><mixed-citation>
      
Wu, S., Konhauser, K. O., Chen, B., and Huang, L.: “Reactive Mineral
Sink” Drives Soil Organic Matter Dynamics and Stabilization, npj
Materials Sustainability, 1, 3,
<a href="https://doi.org/10.1038/s44296-023-00003-7" target="_blank">https://doi.org/10.1038/s44296-023-00003-7</a>, 2023.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib167"><label>Xiong et al.(2019)Xiong, Sun, and Chen</label><mixed-citation>
      
Xiong, M., Sun, R., and Chen, L.: A Global Comparison of Soil Erosion
Associated with Land Use and Climate Type, Geoderma, 343, 31–39,
<a href="https://doi.org/10.1016/j.geoderma.2019.02.013" target="_blank">https://doi.org/10.1016/j.geoderma.2019.02.013</a>, 2019.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib168"><label>Yavitt(2000)</label><mixed-citation>
      
Yavitt, J. B.: Nutrient Dynamics of Soil Derived from Different
Parent Material on Barro Colorado Island, Panama1, Biotropica, 32, 198–207,
<a href="https://doi.org/10.1111/j.1744-7429.2000.tb00462.x" target="_blank">https://doi.org/10.1111/j.1744-7429.2000.tb00462.x</a>, 2000.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib169"><label>Zhang et al.(2012)Zhang, Zhang, Yang, and Wu</label><mixed-citation>
      
Zhang, D., Zhang, J., Yang, W., and Wu, F.: Effects of Afforestation with
Eucalyptus Grandis on Soil Physicochemical and Microbiological
Properties, Soil Res., 50, 167, <a href="https://doi.org/10.1071/SR11104" target="_blank">https://doi.org/10.1071/SR11104</a>, 2012.

    </mixed-citation></ref-html>--></article>
