Vertical mobility of pyrogenic organic matter in soils: a column experiment
- 1Department of Geography, University of Zurich, Winterthurerstrasse 190, 8057 Zurich, Switzerland
- 2Department of Environmental Geosciences, Centre for Microbiology and Environmental Systems Science, University of Vienna, Althanstrasse 14, 1090 Vienna, Austria
- 3Institute of Soil Science and Site Ecology, Technische Universität Dresden, Pienner Straße 19, 01737 Tharandt, Germany
- 4Laboratoire de Géologie, CNRS – École normale supérieure, PSL University, Institut Pierre Simon Laplace, Rue Lhomond 24, 75005 Paris, France
- 5CEREEP‐Ecotron Ile De France, ENS, CNRS, PSL University, Chemin de busseau 11, 77140 Saint‐Pierre‐lès‐Nemours, France
Correspondence: Samuel Abiven (email@example.com)
Pyrogenic organic matter (PyOM) is a major and persistent component of soil organic matter, but its mobility and cycling in soils is largely unknown. We conducted a column experiment with a topsoil and subsoil of a sand and a sandy loam to study the mobility of highly 13C labeled ryegrass PyOM (>2.8 at. %), applied as a layer on a 7 cm long soil column, under saturated conditions. Further, we used fresh and oxidized PyOM (accelerated aging with H2O2) to identify changes in its migration through the soil with aging and associated surface oxidation. Due to the isotopic signature, we were able to trace the PyOM carbon (PyOM-C) in the soil columns, including density fractions, its effect on native soil organic carbon (nSOC) and its total export in percolates sequentially sampled after 1000–18 000 L m−2. In total, 4 %–11 % of the added PyOM-C was mobilized and <1 % leached from the columns. The majority of PyOM-C was mobilized with the first flush of 1000 L m−2 (51 %–84 % of exported PyOM-C), but its export was ongoing for the sandy soil and the loamy subsoil. Oxidized PyOM showed a 2–7 times higher mobility than fresh PyOM. In addition, 2-fold higher quantities of oxidized PyOM-C were leached from the sandy soil compared to the loamy soil. Besides the higher mobility of oxidized PyOM, its retention in both soils increased due to an increased reactivity of the oxidized PyOM surfaces and enhanced the interaction with the soil mineral phase. Density fractionation of the upper 0–2.3 cm, below the PyOM application layer, revealed that up to 40 % of the migrated PyOM was associated with the mineral phase in the loamy soil, highlighting the importance of mineral interaction for the long-term fate of PyOM in soils. The nSOC export from the sandy soil significantly increased by 48 %–270 % with addition of PyOM compared to the control, while no effect was found for the loamy soil after the whole percolation. Due to its high sorption affinity towards the soil mineral phase, PyOM can mobilize mineral-associated soil organic matter in coarse-textured soils, where organo-mineral interactions are limited, while finer-textured soils have the ability to re-adsorb the mobilized soil organic matter. Our results show that the vertical mobility of PyOM in soils is limited to a small fraction. Aging (oxidation) increases this fraction but also increases the PyOM surface reactivity and thus its long-term retention in soils. Moreover, the migration of PyOM affects the cycling of nSOC in coarse soils and thus influences the carbon cycle of fire-affected soils.
Pyrogenic organic matter (PyOM) is a product of artificial (biochar) or wildfire-induced incomplete combustion. It is one of the oldest global organic carbon (C) pools with residence times of several millennia (Coppola et al., 2018; Masiello and Druffel, 1998) and an annual global production from wildfires of 196–349 Tg of carbon (Jones et al., 2019). After a wildfire, around 12 %–27 % of the initially burned biomass can remain as PyOM on the site of burning (Santín et al., 2015). It can directly enter the soils or can be transported laterally via mass transport prior to incorporation. Mass transport of PyOM mainly occurs during the first rain event after a fire, resulting in a translocation and re-deposition within the landscape and eventually in a PyOM burial at depositional sites (Abney et al., 2019; Cotrufo et al., 2016; Rumpel et al., 2015). In addition to this natural-wildfire-derived PyOM, artificially produced biochar is used as agricultural soil amendment to improve soil properties and is recognized as a C sequestration strategy to mitigate climate change (Lehmann, 2007).
Between the continuum of terrestrial and aquatic ecosystems, PyOM is continuously exported from soils to rivers with less seasonality compared to non-fire-derived soil organic matter (Dittmar et al., 2012a; Hockaday et al., 2007; Wagner et al., 2018). Globally, dissolved PyOM contributes to 0.1 %–15 % of the total riverine and marine dissolved organic carbon (DOC) pool (Coppola and Druffel, 2016; Jones et al., 2020). Furthermore, the quantity of dissolved PyOM in rivers was found to be decoupled from the fire history of the watershed (Ding et al., 2013; Santos et al., 2017), which indicates that soils are an important intermediate storage for PyOM in the terrestrial system prior to its export to aquatic ecosystems (Abiven and Santín, 2019; Bird et al., 2015; Santín et al., 2016).
In soils, PyOM contributes globally to 14 % (0 %–60 %) of the total soil organic carbon (SOC), which makes it one of the main components of organic matter (OM) in soils (Reisser et al., 2016). Pyrogenic organic matter is found with residence times in soils of several centuries to millennia, which is much more than the average age of SOC and is mainly attributed to its condensed and aromatic composition and thus increased stability against degradation (Kuzyakov et al., 2014; Santos et al., 2012; Schmidt et al., 2011; Singh et al., 2012). Within the soil profile, PyOM contents can increase with depth, indicating that vertical transport determines its long-term fate in soils and terrestrial ecosystems (Hobley, 2019; Soucémarianadin et al., 2019).
Pyrogenic organic matter and non-fire-derived OM differ in biological (e.g., degradability), physical and chemical interactions in soils (Bird et al., 2015; Pingree and DeLuca, 2017). Pyrolysis affects the chemical and physical properties of the feedstock organic matter, which results in a high porosity and larger surface areas depending on the fuel biomass, duration and production temperature (Hammes and Abiven, 2013; Lehmann et al., 2015; Preston and Schmidt, 2006). The feedstock is one of the major precursors, and PyOM derived from grass, for example, is reported with smaller and lighter particles compared to wood-derived PyOM (Saiz et al., 2018). The chemical composition, physical properties and the particle size control the mobility in soils and the interactions of PyOM with the soil mineral phase, which further depend on soil properties such as texture, pH and Fe/Al-(hydr-)oxides content (Hobley, 2019; Pignatello et al., 2015). In addition, PyOM is interacting with non-fire-derived OM and influences its mobility by direct sorption and stabilization on PyOM surfaces (Jiang et al., 2019; Mukherjee and Zimmerman, 2013). However, due to its high molecular weight (rich in aromatic compounds), PyOM has a strong sorption affinity to the soil mineral phase (Kaiser and Guggenberger, 2000). This can result in a mobilization of non-fire-derived and less adsorbing OM that is already adsorbed on the soil mineral surfaces (Jiang et al., 2016; Oren and Chefetz, 2012; Zhang et al., 2017).
Biotic and abiotic oxidation alter the surface reactivity of PyOM by increasing the abundance of oxygen- and hydrogen-containing functional groups (e.g., carboxylic groups) and thus influencing its properties over time and with aging. Aging of PyOM is reported to enhance its water solubility and thus its mobility in soils with vertical percolation (Abiven et al., 2011; Wagner et al., 2017). However, only a small fraction of the total PyOM (<1 %) was found to be solubilized and transported in soils (Abiven et al., 2011; Maestrini et al., 2014; Major et al., 2010). In addition, it is reported that PyOM found in fire-affected watersheds underwent aging processes in soil prior to its export from the soils to the riverine system (Hockaday et al., 2006). The quantities and drivers controlling the vertical PyOM mobility in dissolved or particulate form in soils, its effect on non-fire-derived SOC during its migration, and the influence of aging are not well understood so far. This is limiting our understanding of the fate of PyOM in the terrestrial C cycle.
In this study, we assessed the vertical PyOM mobility by conducting saturated soil column experiments (7 cm length) with flow interruption. To trace mobilized PyOM, we applied highly 13C labeled (>2.8 at. % in excess) ryegrass PyOM-carbon (PyOM-C) on a topsoil and subsoil of a sand and sandy loam and determined the effect of soil properties on the PyOM mobility. Moreover, we compared the vertical mobility of fresh and oxidized PyOM (accelerated aging with H2O2) to identify changes in its mobility with aging and associated surface oxidation. Using highly 13C labeled ryegrass PyOM under these controlled conditions allowed us, on the one hand, to trace even small proportions of mobilized PyOM-C in soils and PyOM-C potentially exported to aquatic ecosystems and, on the other hand, to detect changes in the native soil organic carbon (nSOC) mobility. We hypothesized that (i) PyOM is continuously exported from the soil but its rate decreases over time, (ii) a higher degree of oxidation (aging) increases the mobility of PyOM through soils, (iii) PyOM can be retained in soils during its migration and (iv) PyOM migration through the soil influences the nSOC mobility.
Topsoils (0–10 cm) and subsoils (40–60 cm) of a sand and a sandy loam, hereafter sandy and loamy soil, were used to obtain a range of texture and SOC contents between 2.64–21.91 g C kg−1 (Table 1). The sandy soil was sampled from an Entic Podzol near Gifhorn (55∘22′44.0′′ N; 10∘25′224.5′′ E), Germany, under pine forest (Pinus sylvestris). The loamy soil was sampled from a Haplic Luvisol east of Eiken (47∘32′33.5′′ N; 8∘00′31.5′′ E), Switzerland, under mixed forest dominated by beech (Fagus sylvatica). Both sites are similar in terms of mean annual temperature (sandy soil = 8.8 ∘C and loamy soil = 10.0 ∘C) and mean annual precipitation (sandy soil = 620 mm and loamy soil = 780 mm). All soil samples were dried at 40 ∘C over night and sieved to <2 mm.
The pH was lower in the sandy topsoil (3.4±0.1) compared to the loamy topsoil (5.3±0.1) but similar in both subsoils with 4.1±0.1 and 4.0±0.1, respectively. Oxalate-extractable amorphous Fe and Al (hydr)oxides (Fe(o) and Al(o)) contents were higher in the loamy soil compared to the sandy soil (Table 1). The soils further differed in the SOC distribution between free particulate organic matter (fPOM) and mineral-associated organic matter (MAOM) obtained by density fractionation (see Sect. 2.4 for procedure). The MAOM fraction contained 82.8±0.2 % and 85.7±1.0 % of the SOC in the loamy topsoil and subsoil, respectively. The sandy topsoil contained 73.2±0.6 % of the SOC as fPOM. In the sandy subsoil, the fPOM contributed to 41.1±0.8 % of the SOC.
2.2 13C labeled pyrogenic organic matter
Highly 13C labeled ryegrass (Lolium Perenne L.) was produced in the multi-isotope controlled environment facility at the University of Zurich (Studer et al., 2017). The ryegrass was oven-dried at 40 ∘C and pyrolyzed at 450 ∘C for 4 h under N2 atmosphere (Hammes et al., 2006). Three independent growing batches of the initial ryegrass were pyrolyzed separately and were used in our experiment as a proxy for PyOM (Table 2). Artificially altered PyOM was produced by chemical- and heat-accelerated oxidation presented by Cross and Sohi (2013); in brief, 1 g of C was oxidized with 0.1 mol of H2O2 at 80 ∘C for 2 d. The samples were gently shaken five to seven times a day to ensure a homogeneous reaction. The samples were dried at 105 ∘C over night. The oxidation was conducted in glass test tubes (20 cm length and 2.5 cm diameter) with 1 g of PyOM using a 5 % H2O2 solution. These test tubes ensured a continuous exposure of PyOM to the oxidant. The oxidized PyOM from five test tubes was homogenized and stored in a desiccator.
Mid-infrared spectra at wavelengths from 4000–400 cm−1 were recorded (average of 64 scans per sample at 4 cm−1 resolution) by using diffuse reflectance infrared Fourier-transformed (DRIFT) spectroscopy (TENSOR 27 spectrophotometer, Bruker, Fällanden, Switzerland). Figure 1 shows the differences in the spectra of oxidized and fresh PyOM for the three PyOM batches, indicating an overall increase in O- and H-containing functional groups after the PyOM oxidation (increases in absorbance at A, C, E and G; Chatterjee et al., 2012; Keiluweit et al., 2010; Wood, 1988), loss of aliphatic compounds (decrease in absorbance at B and H; Chatterjee et al., 2012; Keiluweit et al., 2010), a shift in aromaticity (increase at C and decrease at D) and decarbonation (decreases at D and H; Rechberger et al., 2017); see Fig. S2 in the Supplement for all spectra.
The three batches of ryegrass PyOM varied in C content, δ13C, O:C, H:C ratios and DRIFT spectra (particularly batch 3). This can be attributed to growing differences even under similar and controlled conditions. To take into account the variability, all calculations are based on the individual C and δ13C values (Table 2).
2.3 Soil column setup and percolation
Columns of 11 cm length and 2.5 cm diameter were loaded with 49.0–57.5 g of soil to reach a bulk density of 1.4±0.1 g cm−3. The columns were loaded (from bottom to top) with 1.5 cm of decarbonized and combusted quartz sand, 7 cm soil, 1 cm of a soil–PyOM mixture and 1 cm quartz sand. The soil–PyOM mixture contained 0.5 g of PyOM and 4.5 g of soil for each column, which is equivalent to 11 t PyOM ha−1 input on the soil surface. Control columns without addition of PyOM were packed with 8 cm of soil. For each soil, four replicates with addition of fresh and oxidized PyOM and controls were used. The columns were packed dry and saturated from the bottom using a 0.01 M CaCl2 solution with a flow of 0.1–0.2 mL min−1. The percolation was conducted with 0.01 M CaCl2 from the top using Mariotte's bottles for a constant pressure head and an adjusted flow of 2 mL min−1. In total, 8640 mL (on average 590±7 soil pore volumes) was percolated through each column over 5 d. Subsamples of 200 mL were sequentially sampled after a percolation of 480, 1440, 3840, 6240 and 8640 mL. This is equivalent to 1000, 3000, 8000, 13 000 and 18 000 L m−2. The percolation was stopped for 3–5 h (flow interruption) during the sampling, but the columns were continuously saturated. The experiment was conducted at room temperature and the columns were protected from light to avoid photo-degradation. The percolated samples were not filtered to reduce the risk of sample cross contamination or losses. Therefore, the percolates contained the total mobile fraction of PyOM and nSOC including colloidal and dissolved forms.
2.4 Soils and percolate sample preparation and analyses
Amorphous Fe(o) and Al(o) were extracted by oxalate extraction according to McKeague et al. (1971) and measured using atomic absorption spectroscopy (ContrAA 700, Analytik Jena, Jena, Germany). Soil texture was determined after oxidizing the organic material with H2O2, after which samples were wet sieved <63 mm and the silt / clay fraction further quantified by a Sedimat 4-12 (UGT, Müncheberg, Germany).
At each sequential sampling time, the pH and EC of the percolates were measured (914 pH/Conductometer, Metrohm, Herisau, Switzerland). The pH and EC of bulk soils were measured using a soil–solution ratio of 1:2.5 in a 0.01 M CaCl2 solution after shaking and settling for 1 h.
The percolate samples were stored at 4 ∘C for a maximum of 3 weeks. If longer storage was required, the samples were stored frozen. All liquid samples were freeze-dried and weighed prior to further analysis.
The soil columns were sampled after drainage from the bottom to the top to avoid any cross contamination with labeled material from soil–PyOM layer. Three soil layers of 2.3 cm below the soil–PyOM layer were sampled and dried at 40 ∘C over night, corresponding to 0–2.3, 2.3–4.6 and 4.6–7.0 cm depth layers.
Density fractionation was conducted with 5 g of the first 0–2.3 cm below the soil–PyOM layer and bulk soil samples. A sodium polytungstate (SPT) solution adjusted to a density of 1.8 g cm−3, as recommended by Lavallee et al. (2020), was used to separate the fPOM after shaking and settling for 1 h. The floating fPOM was decanted after centrifugation (30 min at 4000 rpm) and vacuum filtered using a glass fiber filter (<0.7 µm). The fPOM on the filter was rinsed with deionized water to remove SPT. The remaining heavier MAOM was rinsed with deionized water and centrifuged three times to remove SPT. No further fractions were acquired, and the commonly used ultrasonification, to separate occluded particulate organic matter, was avoided to reduce the risk of physical breakdown of PyOM particles and potential shift between density fractions. All samples were dried at 40 ∘C over night.
Soil and density fraction samples were milled for further measurement. If the sample mass of the fPOM fraction was too little, the samples were ground manually with a mortar and pestle to reduce a potential loss of sample material. The freeze-dried percolate samples were homogenized by manual grinding. Bulk soil and bulk PyOM samples were dried at 40 ∘C over night and milled. The total C and δ13C, relative to the international Vienna Pee Dee Belemnite (VPDB) standard, of all solid samples were measured using a dry combustion module cavity ring-down spectroscopy system (Picarro, Santa Clara, USA). Since our soils were carbonate-free (pH<6), the total organic C (TOC) was equal to the measured total C. To obtain O:C and H:C ratios of the PyOM, C and H were measured by dry combustion and O by high-temperature pyrolysis (TruSpec Macro analyzer, Leco, Saint Joseph, USA).
2.5 Hydraulic properties of soil columns
Following the percolation experiment, breakthrough curves (BTCs) were conducted in order to evaluate similar hydraulic properties and flow conditions. Afterwards the soils were sampled as described above (Sect. 2.4). The BTCs were performed using a NaCl (1 g L−1) solution as an inert tracer. The tracer solution was added for 25 min with a constant pressure head allowing an average flow of 1 mL min−1. Afterwards, the percolation was continued with 0.01 M CaCl2 for a further 47 min. The EC of the percolated solution was measured in 12 fractions each sampled after 6 min (see Fig. S2 for all BTCs). The percolated volume was added to the last percolate fraction.
The convective velocity v [cm min−1] and the diffusion coefficient D [cm2 min−1] were estimated by using STANMOD (version 2.08.1130; Šimůnek et al., 2003) to solve the deterministic equilibrium convection–diffusion equation. Due to high flow rates under saturated conditions, it can be assumed that diffusion of the tracer within the soil was negligible, and the dispersivity λ [cm] was calculated as the quotient of the D and v (Vanderborght and Vereecken, 2007). No significant differences in dispersivity were found between the columns of the same soil: 0.29±0.04 cm for the loamy topsoil, 0.19±0.04 cm for the loamy subsoil, 0.13±0.01 cm for the sandy topsoil and 0.14±0.02 cm for the sandy subsoil (see Table S1 in the Supplement for all values). Therefore, the packing and the addition of the soil–PyOM layer did not lead to any significant trend for changes in the hydraulic properties of the columns, and thus hydraulic parameters were excluded as further explanatory variables in this experiment.
2.6 Calculations and statistics
The recovery of 13C derived from the labeled PyOM was calculated with the atomic 13C fractions following the recommendations presented by Coplen (2011). The measured δ13C values were used to calculate the isotope-amount ratios R(13C∕12C)sample of each sample, using an isotope-amount ratio of 0.01118 for the VPDB standard. The atomic fraction of each sample x(13C)sample was calculated following Eq. (1):
The excess-isotope-amount fraction of each sample xE(13C)sample was calculated following Eq. (2):
where x(13C)control is the atomic 13C fraction of the corresponding soil. Here, the mean of the control columns was used to calculate the excess-isotope-amount fraction of the individual soil column depth after the percolation. The mean atomic 13C fraction of all controls of the first percolate (1000 L m−2) was used to calculate the excess-isotope-amount fraction of percolates from soil columns with addition of PyOM. The first percolates were observed to provide the most stable values for the atomic 13C fraction of the control due to higher C contents compared to later percolates with less total C. The recovery of 13C in milligrams was calculated following Eq. (3):
where xE(13C)soil–PyOM is the excess-isotope-amount fraction of the corresponding soil–PyOM mixture, and msample is the total mass of C measured in the sample in milligrams. This recovery calculation allowed us to distinguish between three separate C pools: (1) TOC, (2) the labeled PyOM-C and (3) nSOC. On average, the total recovery of TOC in the soil and percolates was 91.6 %±1.0 % and 91.4 %±2.7 % of added PyOM-C. The recoveries were normalized to 100 % for further comparison.
Significant differences in PyOM-C between fresh and oxidized PyOM treatments were tested with a t test. To test significant differences of nSOC in soils and percolates between controls and treatments with addition of PyOM, analysis of variance (ANOVA) was applied and p values were computed with the post hoc Tukey honest significance difference of means method on a 95 % family-wise confidence level. The statistical analyses were performed using R version 4.0.0 (R Core Team, 2020). The standard error (error of the mean) of four replicates is presented for all data, and error propagation was applied for cumulative nSOC and PyOM-C fluxes. Due to a potential sample contamination after the experiment, one control replicate of the sandy subsoil was excluded from the analysis. One replicate of the loamy subsoil with addition of oxidized PyOM was excluded from further analysis due to an unsteady flow during the percolation.
3.1 Mobility of fresh and oxidized PyOM-C
The percolation and export of oxidized PyOM-C from the columns were higher compared to fresh PyOM-C for all soils over the whole percolations (Fig. 2). After a total percolation of 18 000 L m−2, 0.70 %±0.15 % of oxidized and 0.24 %±0.03 % of fresh PyOM-C percolated from the sandy topsoil (p<0.01). From the sandy subsoil, 0.64 %±0.08 % of oxidized and 0.26 %±0.07 % of fresh PyOM-C were leached (p<0.01). The loamy topsoil showed a percolation of 0.40 %±0.25 % of oxidized and 0.18 %±0.03 % of fresh PyOM (p=0.16). Significantly more oxidized PyOM-C leached from the loamy subsoil, with 0.40 %±0.06 % of oxidized PyOM-C compared to 0.17 %±0.04 % of fresh PyOM-C (p<0.01). The total amount of percolated oxidized and fresh PyOM-C did not differ significantly between topsoil and subsoil for the loamy or the sandy soil. Between the two soils, the export of oxidized PyOM-C was significantly increased (p<0.01) for the sandy topsoil and subsoil compared to the loamy soil, while the export of fresh PyOM-C was not significantly different (p=0.38; Fig. 2).
The first flush of 1000 L m−2 caused the highest export of PyOM-C from the soil columns (Table S2 in the Supplement) and contributed to 80.4 %–84.3 % of total percolated PyOM-C from the sandy soil and to 50.6 %–79.8 % of the total percolated PyOM-C from the loamy soil (Fig. 2). The first flush of PyOM-C was similar between the sandy topsoil and subsoil (2862.9–1114.7 µg PyOM-C L−1) and ongoing over the whole percolation time. For the loamy topsoil, the first flush indicated higher PyOM-C concentrations (596.4–1411.4 µg PyOM-C L−1) compared to the subsoil (347.5–724.2 µg PyOM-C L−1), but the concentrations decreased to non-detectable levels for the last percolation stage of 18 000 L m2 from the loamy topsoil and were ongoing for the subsoil.
3.2 pH and electrical conductivity of percolates
The initial pH of the percolates increased with addition of PyOM for all soils (Table S2, Fig. S3 in the Supplement). As an average of all percolates, the pH increased significantly by 0.2±0.1 units in the percolates of the sandy topsoil. This effect was larger in the sandy subsoils with a significant increase by 0.3–0.5 units. For the loamy topsoil, the first flush (1000 L m−2) showed significantly increased pH values by 0.5–0.8 units with addition of PyOM but thereafter approached the pH of the percolates from the control. Changes in pH were less dominant in the loamy subsoil, but the pH increased continuously over the whole percolation.
The EC increased significantly with addition of PyOM (p<0.01) in the first percolates compared to the control for all soils (Table S2, Fig. S4). With further percolation, the EC equilibrated to the background value of the percolate solution (2.20 mS cm−1 of 0.01 M CaCl2) for all soils with and without addition of PyOM.
3.3 Percolated nSOC
The addition of PyOM significantly increased the total percolated nSOC from the sandy topsoil and subsoil compared to the control but did not change the total nSOC export from the loamy soil (Fig. 3). The addition of fresh PyOM significantly increased the total nSOC percolation compared to the oxidized PyOM in the sandy topsoil and subsoil (p=0.01). In total, 3.5 %±0.6 % (0.73±0.05 g of nSOC per kilogram of soil) of total initial nSOC leached with fresh PyOM and 2.5 %±0.2 % (0.53±0.02 g of nSOC per kilogram of soil) of total nSOC with addition of oxidized PyOM from the sandy topsoil. Thus, PyOM addition significantly increased the nSOC leaching for the sandy topsoil compared to the control without PyOM addition, from which 1.7 %±0.1 % of the initial nSOC was leached (p<0.01). From the sandy subsoil, 4.9 %±0.4 % of the total nSOC percolated from the control while significantly more nSOC percolated with fresh (9.9 %±1.1 %; 0.26±0.01 g of nSOC per kilogram of soil) and oxidized (7.8 %±0.5 %; 0.21±0.01 g of nSOC per kilogram of soil) PyOM (p<0.01).
Between the loamy and sandy topsoil, the total relative nSOC percolation did not differ significantly for the controls (p=0.71) and with addition of oxidized PyOM (p=0.86). But the addition of fresh PyOM resulted in a higher nSOC percolation in the sandy topsoil compared to the loamy topsoil (p=0.01). For the subsoils, the total nSOC percolation was significantly higher in sandy subsoil compared to the loamy subsoil with fresh PyOM (<0.01) and oxidized PyOM (p<0.01) but not for the controls (p=0.28).
The first flush (1000 L m−2) showed the highest nSOC concentrations in the percolates (Table S2). From the sandy topsoil, 45.54±7.69 mg nSOC L−1 (p<0.01) with fresh and 28.16±2.09 mg nSOC L−1 (p=0.05) with addition of oxidized PyOM were leached, whereas significantly less nSOC was leached from the control (12.12±0.24 mg nSOC L−1). The nSOC concentrations in the percolates were lower for the sandy subsoil (13.31–3.28 mg nSOC L−1) compared to the topsoil but higher for the last percolate, indicating an ongoing nSOC mobilization. The nSOC percolated from the loamy topsoil in the first flush was 9.65±1.07 mg nSOC L−1 for the control and significantly increased to 21.14±1.96 mg L−1 (p=0.01) and 15.89±2.08 mg L−1 (p=0.16) with addition of fresh and oxidized PyOM, respectively. The loamy subsoil showed lower leached nSOC concentrations in the percolates with 7.86±0.49 mg nSOC L−1 compared to the topsoil with addition of fresh (12.23±1.55 mg nSOC L−1; p=0.07) and with oxidized PyOM (10.92±0.79 mg nSOC L−1; p=0.07).
3.4 Changes in fresh and oxidized PyOM-C and nSOC in soil columns
After the percolation, 89 %–96 % of the fresh and oxidized PyOM-C remained at its initial location in the PyOM layer in both topsoils and subsoils. The first 0–2.3 cm below the soil–PyOM layer contained the largest proportions of mobilized PyOM with no differences between oxidized and fresh PyOM (Fig. 4). The recovered PyOM-C from this layer ranged between 3.5 %–9.7 % (0.84–1.50 g of PyOM-C per kilogram of soil) and 3.6 %–10.1 % (0.52–1.06 g of PyOM-C per kilogram of soil) of added PyOM-C in the sandy and loamy soil, respectively. With greater soil depth, the recoveries decreased to <1 %. In the soil layers at 2.3–4.6 and 4.6–7.0 cm below the soil–PyOM layer, only 0.01 %–0.13 % and 0.05 %–0.17 % of added fresh and oxidized PyOM-C were recovered, respectively. The recovery of oxidized PyOM-C in these layers was mostly significantly higher compared to the fresh PyOM-C (Fig. 4).
Between topsoil and subsoil, the first layer below the soil–PyOM layer (0–2.3 cm) showed no significant differences in the recovery of PyOM-C for both sandy and loamy soil. The sandy subsoil indicated higher recoveries of oxidized PyOM-C (p=0.12) compared to the topsoil in 2.3–4.6 cm depth but not for fresh PyOM-C (p=0.68). In 4.6–7.0 cm depth below the PyOM layer, the recoveries of oxidized (p<0.05) and fresh PyOM-C (p<0.01) were significantly higher in the sandy subsoils compared to the topsoil. The loamy subsoil showed significantly higher fresh (p=0.05) and oxidized PyOM-C (p<0.01) recoveries in 2.3–4.6 cm depth compared to the topsoil. For the deeper layer (4.6–7.0 cm), the recoveries of oxidized (p<0.05) and fresh PyOM-C (p<0.01) were also higher in the subsoil than in the topsoil. The relative recovery of PyOM-C did not differ significantly between the loamy and sandy soils for the same depths.
The total nSOC loss from the soil columns significantly increased with PyOM for the sandy soil but not for the loamy soil (Fig. 5). The nSOC contents decreased by 1.8±0.2 % (3.9±2.6 g of nSOC per kilogram of soil) with fresh PyOM and by 0.8±0.1 % (1.8±1.3 g of nSOC per kilogram of soil) with addition of oxidized PyOM in the sandy topsoil (p<0.01). In the sandy subsoil, the PyOM resulted in 4.8±0.5 % (0.4±0.2 g of nSOC per kilogram of soil) and 2.6±0.3 % (0.3±0.2 g of nSOC per kilogram of soil) lower nSOC contents after percolation with fresh and oxidized PyOM, respectively (p<0.01). The losses of nSOC were significantly larger with fresh PyOM than with oxidized PyOM in the sandy topsoil and subsoil (p=0.01).
3.5 Density fractionation of 0–2.3 cm below soil–PyOM layer
The density fractionation of the first 0–2.3 cm below the soil–PyOM layer revealed that large proportions of the PyOM-C remained in the light fPOM fraction in the sandy soil (Fig. 6). In the sandy topsoil, 93.3±0.9 % of the PyOM-C was found in the fPOM fraction. The same fraction contributed to 86.3±1.7 % of the total PyOM-C in the first sandy subsoil depth below the soil–PyOM layer (0–2.3 cm). In the loamy soil, 40.2±1.8 % of the PyOM-C was associated with the MAOM fraction in the topsoil and subsoil, given as an average of fresh and oxidized PyOM. In general, the proportions of PyOM-C found in the two fractions did not differ significantly between the fresh and oxidized PyOM and between the loamy topsoil and subsoil. The sandy subsoil indicated significantly more oxidized PyOM-C in the MAOM fraction compared to the topsoil (p=0.05).
4.1 Mobility of PyOM
At the end of the experiment, 3.8 %–10.8 % of the added PyOM moved vertically from its initial location. This includes PyOM recovered in 7 cm of soil below the soil–PyOM application layer and exported PyOM in the percolates (Fig. 7). Large parts of the mobilized PyOM were translocated to the first 0–2.3 cm below the soil–PyOM layer (3.5 %–10.1 % of added PyOM-C; Fig. 4). The total recovery of PyOM in this layer did not differ significantly between the sandy and loamy soil. This indicates a potential accumulation close to the transition of the soil–PyOM layer and the upper 0–2.3 cm regardless of the soil texture. The PyOM-C recovered in the deeper soil depth of 2.3–7.0 cm and in the percolates was most likely derived from dissolved and colloidal PyOM. Dissolved and colloidal PyOM is reported to be a major mobile fraction in soils (Wagner et al., 2017, 2018).
Abiven et al. (2011) reported that 0.31 wt. %–0.42 wt. % of PyOM was mobilized in a batch experiment without any soil addition as dissolved (<0.45 µm) and colloidal (0.45–5 µm) forms. In field incubation experiments (1 to 2 years), a small proportion of 0.041 %–0.004 % of initially added PyOM was reported to be mobilized vertically to >15 cm depth in dissolved forms (Maestrini et al., 2014; Major et al., 2010). Hilscher and Knicker (2011) reported that 2.3 % of added PyOM migrated to 5 cm depth, and 0.4 % was leached from soil columns (8 cm length) and found in the column outflow in a 1-year incubation experiment. We identified that 0.17 %–0.70 % of the added PyOM-C was exported from the soil columns (>7 cm; Fig. 2). This is in accordance with the relatively limited mobility of PyOM observed under experimental and field conditions compared to non-pyrolyzed OM.
Don and Kalbitz (2005) reported that fresh and 12-month in situ-incubated litter from a variety of temperate forest trees (e.g., sycamore maple, mountain ash, beech, spruce and pine litter) can release 0.3 %–6.5 % of water-extractable DOC. Liebmann et al. (2020) applied highly 13C labeled beech litter on the surface of a temperate forest floor and reported that after 22 months 11.2 % of the applied litter migrated within a depth of 0–140 cm, but 87 % of this mobilized litter fraction was found in the upper 5 cm, indicating a minor importance of aboveground litter DOC input in deeper soils. However, mobilized PyOM is most likely less controlled by microbial decomposition due to the high stability of PyOM (Kuzyakov et al., 2014; Singh et al., 2012), allowing a potential deeper migration. It needs to be noted that we only included one type of PyOM (ryegrass derived and produced at 450 ∘C), which constrains general conclusions since the chemical and physical properties of PyOM, such as particle size, are highly dependent on the feedstock and production conditions (Lehmann et al., 2015; Saiz et al., 2018).
We percolated the soil columns in total with 18 000 L m−2, which would be equal to a continuous precipitation of 23–29 years given the mean annual precipitation of the two sites (sandy soil=620 mm and loamy soil=780 mm). Therefore, the percolation applied here over 5 d was conducted at relatively high rates. This experimental duration avoided any additional decomposition within the columns and allowed us to maintain a continuously saturated soil column system. However, given the experimental setup, we were not able to estimate any PyOM transportation rate under field conditions under which the transport is influenced by seasonal precipitation variations and unsaturated conditions.
Under field conditions, pedoturbation (e.g., due to swelling and shrinking of clay-rich soils) and bioturbation would potentially promote the vertical translocation of PyOM (Hobley, 2019; Rumpel et al., 2015). Physical fragmentation and breakdown of PyOM during environmental aging reduces the particle size, which can increase the vertical mobility of PyOM due to decreasing friction of smaller particles during transport and the generation of colloids (Hobley, 2019; Pignatello et al., 2015; Spokas et al., 2014). These colloids tend to become more mobile with aging, decreasing particle size, and increasing pH, and in the presence of OM, whereas their mobility tends to decrease in the presence of clay minerals, hydrophobic contaminants and high ionic strengths due to aggregation (Castan et al., 2019; Sigmund et al., 2018). Fragmentation further increases the relative specific surface area of PyOM and may promote stabilization and thus its retention in soils due to increased physicochemical interaction with the mineral phase (Singh et al., 2012; Xiao and Pignatello, 2015).
4.2 Dynamic of mobilized PyOM
The first flush, leached from the columns with 1000 L m−2, contributed to the highest export of PyOM from the soil columns, and the mobilized amounts decreased with the percolation for all soils (Fig. 2 and Table S2). We hypothesized a continuous export of PyOM-C and decrease with time, which can be confirmed with our experiment. Our results clearly indicate that the first flush is a major event of PyOM transport through soil and contributed to 80 %–84 % and 51 %–79 % of total exported PyOM from the sandy and loamy soil, respectively. This can be attributed to mobile PyOM fractions which are directly produced during the pyrolysis and easily mobilized with the initial flux (Hilscher et al., 2009). Therefore, the initial flux of PyOM may significantly contribute to its total export from soils and its transition to aquatic systems under field conditions. Most field experiments and observation miss the initial PyOM flux (lateral and vertical) with the first rain event after a fire, resulting in a potential underestimation of the dissolved transport rates of PyOM (Santos et al., 2017). This may further cause an underestimation of the vertical PyOM transport from depositional landscape positions after a redistribution following an initial lateral mass transport (Rumpel et al., 2015). The export of fresh PyOM with the first flush from the subsoils indicates that a large proportion can be mobilized before any aging-associated oxidation occurs, which can be of significance at depositional sites where relatively fresh PyOM can be buried.
The PyOM-C export was continuous for the sandy topsoil and subsoil, indicating an ongoing mobilization and migration through the coarse soil. Besides this large export of PyOM with the first flush, PyOM-C was not detectable in the last percolated fraction of the loamy topsoil. Therefore, large proportions of PyOM were able to migrate through the loamy topsoil with the first flush, but with decreasing PyOM-C concentration, the retention and most likely the sorption to the mineral phase and OM increased. In comparison, the loamy subsoil retained larger proportions of the PyOM mobilized with the first flush (flush of 51 %–58 % of the total exported PyOM) but continuously released the retained PyOM into the solution with further percolation.
The ongoing PyOM export from soils in our experiment could potentially explain the steady, less seasonally affected and from fire history decoupled flux of soil-derived PyOM to rivers as observed in the field (Bao et al., 2019; Dittmar et al., 2012a, b; Santos et al., 2017; Wagner et al., 2018). In our experiment, the proportion of percolated PyOM-C of the total percolated C ranged between 2.4 %–17.2 % for the first flush and between 0.2 %–2.8 % for the last percolates, as an average of all soils (Table S2). Artificially produced PyOM is reported to have a higher stability than PyOM naturally produced during wildfires, which challenges the use of one type as a proxy for the other (Santín et al., 2017). The proportions observed here, however, are in line with globally reported dissolved black carbon proportions on total riverine (3 %–15 %) and marine (0.1 %–2.9 %) DOC (Coppola and Druffel, 2016; Jaffé et al., 2013; Jones et al., 2020; Wagner et al., 2018). However, we did not investigate degradation (biotic or abiotic) of mobilized PyOM and nSOC after the export from the soil, which would increase the proportion of PyOM-C on the total DOC.
4.3 Effect of oxidation on PyOM mobility and reactivity
The oxidation significantly increased the PyOM mobility and resulted in 2–7 times higher PyOM-C recoveries in the soil in 2.3–7.0 cm (Fig. 4) and 2–3 times higher losses through percolation (Fig. 2) compared to fresh PyOM (Fig. 7). This confirms our second hypothesis that oxidation (aging) is enhancing the mobility of PyOM. The similar quantities of fresh PyOM-C found in the percolates from the sandy and loamy soil indicate that the mobility of fresh PyOM is most likely only partially influenced by soil texture and rather controlled by the total abundance of mobile compounds originated directly from the pyrolysis. For the oxidized PyOM, however, the exported quantities of PyOM-C revealed a nearly 2-fold higher mobility in the sandy soil than in the loamy soil. This indicates a higher mobility of PyOM with aging in coarse-textured soils and a potentially higher retention of the oxidized PyOM in soils with a finer texture.
In a batch experiment, Abiven et al. (2011) reported an increase in water-extractable PyOM fraction by 40–50 times after 10 years of natural aging compared to recent PyOM and a higher aromaticity of the solubilized aged PyOM. This, however, was estimated without any soil interaction of the mobile fraction. Hockaday et al. (2006) provided indirect evidence that PyOM in a fire-affected watershed is mainly derived from PyOM previously aged in soils and that it is undergoing a fractionation during its migration through the soil depending on its initial aromaticity. Velasco-Molina et al. (2013), identified that PyOM accumulated in tropical deep sombric horizons (>40 cm soil depth) and that this PyOM underwent an oxidation process which increased its content of carboxylic groups. In a recent study, Braun et al. (2020) reported a decreasing aromaticity of water-extractable PyOM extracted from agricultural soils compared to the bulk PyOM and no changes after 3 years of aging under field conditions. Contrastingly, Wagner et al. (2017) reported an increased aromaticity of PyOM exported from soils with aging (>100 years) compared to fresh bulk PyOM. The authors, however, reported that the oxidation alone could not explain the reported higher mobility of PyOM with aging. This highlights that oxidation is not only increasing its mobility but also its reactivity in soil during aging and its transport.
The reactivity of PyOM in soils clearly increased with oxidation in our experiment and caused a higher retention of oxidized PyOM in 2.3–7.0 cm soil depth below the soil–PyOM layer in both soils (Fig. 4). This increased retention can be associated with enhanced interaction of the oxidized PyOM surfaces with the soil mineral phase and the native soil OM. Scanning electron microscopy showed a preferential interaction of partially oxidized PyOM and the soil mineral phase (Brodowski et al., 2005). The increased PyOM reactivity and mobility with oxidation can be attributed to the higher abundance of functional groups containing hydrogen and oxygen (e.g., carboxyl groups, Fig. 1) on the oxidized surface (Knicker, 2011). This oxidation consequently increased the polarity, which enhances its water solubility and its interaction with the mineral phase (Cheng et al., 2008; Fang et al., 2014; Pignatello et al., 2015; Zhao and Zhou, 2019; Zimmerman, 2010).
Our results show that the long-term fate of PyOM in soils is highly controlled by its degree of oxidation and thus will change with aging. However, aging will not only increase the PyOM mobility and solubilization but also its reactivity and thus interaction with the soil mineral phase and OM and thus its long-term sequestration. Therefore, future studies should include the effect of aging for more than a few years under field conditions.
4.4 PyOM retention in soil
The majority of the mobilized PyOM was retained in the soil (92.8±1.0 %). This indicates the importance of PyOM retention in soils during its migration and thus confirms our third hypothesis. The density fractionation of the first soil layer (0–2.3 cm) below the soil–PyOM layer revealed that most of the translocated PyOM remained as fPOM with 85.6 %–94.5 % and 56.9 %–61.4 % in the sandy and loamy soil, respectively (Fig. 6). More than one-third of the PyOM (40.2±1.8 %) in the loamy topsoil and subsoil, 0–2.3 cm below the soil–PyOM layer, however, was found to be association with the mineral phase. This is surprising considering the relatively short interaction time of PyOM and the soil mineral surface and soil aggregation in a saturated column experiment.
The soils in our experiment showed large differences in the contents of amorphous Fe(o) and Al(o) and in texture with 13 %–15 % clay and 22 %–23 % silt in the loamy soil compared to <12 % silt and clay combined in the sandy soil (Table 1). The aromatic compounds of the PyOM can directly interact with the edge functional groups of clay (Joseph et al., 2010; Lehmann et al., 2007; Pignatello et al., 2015). Brodowski et al. (2006) found up to 24 % of PyOM in forest soils to be occluded in aggregates and concluded that PyOM can act as a binding agent for the aggregate formation. In a field incubation experiment of 10 months, Singh et al. (2014) recovered >25 % of the added PyOM in the occluded fraction in temperate forest soils, and Vasilyeva et al. (2011) found up to 70 % of PyOM associated with the mineral fraction after 55 years of bare fallow in Chernozem. Here, the MAOM fractions contain PyOM which is in direct association with the mineral phase and occluded in aggregates. Our results show that the PyOM–mineral interaction and occlusions can occur very quickly in soils with reasonable clay and silt content and may be predominately controlled by the physical and chemical interaction rather than biological processes, since these were neglectable in our experiment given the short duration of 5 d. This rapid mineral interaction will control the long-term stability of PyOM in soils and requires more research under unsaturated and field conditions and also different PyOM feedstocks.
The higher proportion of PyOM recovered as fPOM in the sandy soil indicates that the PyOM–mineral interaction was limited, which is in agreement with the general higher proportion of TOC in fPOM fraction (41 %–73 %) and high sand contents (>88 %; Table 1). In coarse soils, Fe and Al (hydr)oxides are considered to interact and stabilize PyOM and SOC due to its great affinity to OM (Brodowski et al., 2005; Pignatello et al., 2015; Wiesmeier et al., 2019). Slightly more fresh PyOM (p=0.24) and significantly more oxidized PyOM (p=0.05) was recovered in the MAOM fraction in the sandy subsoil compared to the topsoil. This indicates that the sandy subsoil had a higher potential to retain PyOM due to increased mineral interaction compared to the topsoil.
Subsoils are unsaturated in OM due to little inputs, such as DOC from upper soil horizons, root-derived and already microbially processed OM, but large mineral surfaces (Kaiser and Kalbitz, 2012; Lützow et al., 2006). Therefore, the probability of mobilized PyOM to interact with the mineral phase is higher in the subsoil, resulting in a higher retention compared to topsoils where OM is already occupying sorption sites on the mineral surfaces. The subsoils of the loamy soil contained significantly more PyOM at 2.3–7.0 cm depth below the soil–PyOM layer compared to the topsoil (Figs. 6 and 7). This was also the case for the last soil layer (4.6–7.0 cm) of the sandy subsoil and topsoil. Therefore, the loamy and sandy subsoils had a higher PyOM retention potential than topsoils, where the nSOC contents were 5–10 times higher. It needs to be noted that the PyOM retained in this depth represented only <1 % of the added PyOM. In addition, we did not include unsaturated flow conditions, which would resemble the mobility and retention under field conditions.
The higher retention of PyOM in the subsoils can explain its accumulation in greater soil depth, which is found under field conditions (Brodowski et al., 2007; Soucémarianadin et al., 2019). We showed that PyOM can be continuously re-mobilized from subsoils by percolating water and thus can potentially be exported to deeper soil depth or to the groundwater, which would finally result in the export from terrestrial to aquatic systems such as rivers. Furthermore, it can be considered that large proportions of the mobilized PyOM will not be affected by microbial degradation to the same extent that non-pyrogenic SOC and DOC are during the percolation through the soil (Don and Kalbitz, 2005; Kuzyakov et al., 2014; Tipping et al., 2012). This would result in increasing proportions of PyOM on the total subsoil OM.
4.5 Effects of PyOM on nSOC mobility
The addition of PyOM significantly enhanced the total nSOC export in the sandy topsoil and subsoil by 48 %–270 %, which is equivalent to an additional loss of 0.07–0.37 g of nSOC per kilogram of soil (Figs. 3 and 5 and Table S2). The nSOC export from the loamy soil was significantly increased compared to the control for the first flush (1000 L m−2) by 56 %–105 % (0.04–0.10 g of carbon per kilogram of soil) but negligible over the whole percolation. Therefore, our fourth hypothesis can be partially accepted, and the effect of PyOM on nSOC mobility was clearly controlled by soil texture and properties of the soil and PyOM.
With PyOM, the pH of the percolates increased in all soils except of the loamy subsoil, which can further enhance the nSOC mobility (Table S2, Fig. S3). Increases in pH can be associated with a liming effect due to carbonates which are formed during the pyrolysis (Smebye et al., 2016). The pH significantly controls the mobility of DOC (Kaiser and Guggenberger, 2000; Kalbitz et al., 2000), and an increase by 0.5 pH units was shown to enhance the DOC export by 50 % (Tipping and Woof, 1990). We found increases in pH by 0.2–0.8 units (Table S2, Fig. S3). The liming effect lasted over the whole percolation for the sandy soil, which also showed a continuously higher export of nSOC with PyOM compared to the control. Therefore, the increasing pH in the sandy soil, with low initial pH values of 3.4–4.1, may have caused a re-mobilization of adsorbed nSOC-derived DOC. The fresh PyOM had a significantly higher liming effect as indicated in the first flush of the sandy topsoil, as well as the loamy topsoil and subsoil, while the oxidized PyOM caused a higher EC in the first flush (Table S2, Fig. S4). This can be attributed to a decarbonatization of PyOM with oxidation, which was also observed with the mid-infrared analysis (Fig. 1). Therefore, a liming effect of PyOM on the nSOC mobility will potentially decrease with aging but is substantial in coarse soils.
Barnes et al. (2014) reported that wood-derived PyOM (mesquite biochar, 400 ∘C, 4 h) resulted in higher DOC fluxes from organic-poor sandy soil in a soil column experiment (filled with soil–PyOM mixtures containing 10 wt % PyOM) but attributed this increase to PyOM-derived C and not soil-derived C. The authors found no increase in DOC flux from organic- and clay-rich soil but identified an increase in the aromaticity of the DOC, and the authors identified that leachable PyOM fractions were lost but soil-derived C was retained with PyOM. The authors concluded that the net increase in DOC export from soils with moderate amounts of clay, silt and OM is limited. Major et al. (2010) reported that wood-derived PyOM amendment (mango wood biochar, 400–600 ∘C, 48 h) in a savanna soil (sandy clay loam) increased the flux of non-PyOM-derived particulate organic carbon and DOC by 2.3–4.1 times after 2 years under field conditions. However, the authors attributed these increases to a higher belowground net primary production and a corresponding increase in OM input with PyOM. Jones et al. (2012) found no change in the DOC flux after PyOM (wood biochar, 450 ∘C, 48 h) from a sandy clay loam in a 3-year field trial. By tracing the highly labeled PyOM-C, our results confirm that PyOM may have a limited effect on the nSOC mobility in fine-textured loamy soils over the long-term since we could not identify significant differences in the cumulative nSOC loss from the soil columns with fresh and oxidized PyOM. However, the first flush of dissolved PyOM enhanced the loss of nSOC significantly in the loamy topsoil and subsoil. It is likely that this mobilized nSOC would be adsorbed again during its further transport through the loamy soil (>7 cm).
Dissolved organic matter mobility in sandy soils is mainly controlled by adsorption on Fe and Al (hydr)oxides. High-molecular-weight compounds with aromatic structures are reported to have a higher sorption affinity and can desorb less adsorptive compounds from soil mineral phases (Coward et al., 2019; Eusterhues et al., 2011; Kaiser and Kalbitz, 2012; Kalbitz et al., 2000). This is also shown by a fractionation of DOC migration through the soil (Oren and Chefetz, 2012) Recently, Zhang et al. (2020) identified a higher sorption affinity of dissolved organic matter derived from maize straw PyOM by hydrophobic partition, H bonding and electrostatic interactions compared to non-pyrolyzed dissolved organic matter. Therefore, PyOM caused a re-mobilization of nSOC by desorbing it from complexes of the mineral phase and pre-existing OM. Due to a higher abundance of less oxidized highly aromatic compounds from fresh PyOM compared to oxidized PyOM, the desorption of nSOC was more dominant with fresh PyOM, while oxidized PyOM adsorbed mainly on free mineral surfaces due to its higher reactivity.
The mobilization effect of PyOM on nSOC was more pronounced in the sandy subsoil with 7.8 %–9.9 % of the initial nSOC exported compared to 2.5 %–3.5 % of initial nSOC exported from the topsoil (Fig. 3). This supports the concept of continuous sorption, microbial processing, and desorption during the vertical OM migration and thus an accumulation of microbially processed OM in subsoils as described by Kaiser and Kalbitz (2012) as the cascade concept. The binding of microbial processed OM to the mineral surfaces is weaker than for plant-derived compounds (high in aliphatic, aromatic and carboxylic groups), and thus it is more easily mobilized by PyOM with a high sorption affinity towards the mineral surfaces. We found that even a small fraction of mobilized PyOM may cause a significant mobilization of potentially labile nSOC. Even if this effect decreased with oxidized PyOM, it indicates a long-term effect on nSOC mobility and influence of the C cycle of fire-affected soils.
The vertical mobility of PyOM was limited to only a small fraction (<11 %) migrating through the soil columns. Large proportions of the mobilized PyOM were retained in the soil and accumulated mainly in particulate form close to the initial layer within the first 0–2.3 cm. Less than 1 % of the added PyOM migrated to greater depth and was exported from the soil (>7 cm). Furthermore, the majority of the exported PyOM was mobilized with the first flush. Oxidation and thus aging of PyOM significantly increased its mobility and also its reactivity, resulting in an overall larger mobilization but also larger retention in the soil of oxidized PyOM compared to fresh PyOM. Both can be clearly ascribed to the oxidized PyOM surfaces with a higher abundance of oxygen- and hydrogen-containing functional groups. The migration of oxidized PyOM was further largely influenced by the soil texture, resulting in a higher export from the sandy soil and higher retention in the loamy soil due to an increased association to the soil mineral phase.
Fresh and oxidized PyOM significantly increased the mobility of nSOC in the sandy soil and in the first flush of the loamy soil but not over the whole experiment. This can be attributed to a higher sorption affinity of high-molecular-weight PyOM compounds to the mineral phase and thus a desorption of already sorbed and mineral-associated nSOC, which will eventually be exposed to microbial degradation. The re-mobilization of nSOC was greater in the sandy subsoil compared to the topsoil, supporting the concept that subsoil OM is already microbially processed and its association to the mineral phase is weak (because of low availability of mineral surfaces): hence it can be easily desorbed by younger OM with a higher sorption affinity.
Further research is needed to understand the fate of PyOM under unsaturated and field conditions as well as larger scales such as pedon and catena, including PyOM from different feedstocks. We identified that the vertical PyOM mobility is highly dependent on soil properties and the degree of PyOM oxidation (age), which increases not only its mobility, but also reactivity in soils and influences its effect on nSOC. This will influence the pyrogenic carbon and nSOC dynamics in the vadose zone and between the terrestrial and aquatic systems.
The data related to this article are available at https://doi.org/10.5281/zenodo.4268490 (Schiedung and Abiven, 2020).
The supplement related to this article is available online at: https://doi.org/10.5194/bg-17-6457-2020-supplement.
MS and SA designed the experiment. MS conducted the experiment, analyzed the data and wrote the manuscript. SA, SLB, GS and KK provided input to the data discussion and the manuscript.
The authors declare that they have no conflict of interest.
We thank Esmail Taghizadeh and Thomas Keller (University of Zurich) for support with analyses and technical assistance. We also thank Rahel Wanner (Zurich University of Applied Sciences) for CHN-O analyses.
This research has been supported by the Swiss National Science Foundation (grant no. 200021_178768).
This paper was edited by Jens-Arne Subke and reviewed by two anonymous referees.
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