Articles | Volume 14, issue 13
https://doi.org/10.5194/bg-14-3253-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/bg-14-3253-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
10 Jul 2017
Research article |
| 10 Jul 2017
Modification of the RothC model to simulate soil C mineralization of exogenous organic matter
Claudio Mondini
CORRESPONDING AUTHOR
Consiglio per la Ricerca in Agricoltura e l'Analisi dell'Economia Agraria (CREA), Branch Office of Gorizia, Via Trieste 23, 34170 Gorizia, Italy
Maria Luz Cayuela
Centro de Edafología y Biología Aplicada del Segura (CEBAS-CSIC), Department of Soil and Water Conservation and Waste Management,
Campus Universitario de Espinardo, Apartado de Correos 164, 30100 Espinardo, Murcia, Spain
Tania Sinicco
Consiglio per la Ricerca in Agricoltura e l'Analisi dell'Economia Agraria (CREA), Branch Office of Gorizia, Via Trieste 23, 34170 Gorizia, Italy
Flavio Fornasier
Consiglio per la Ricerca in Agricoltura e l'Analisi dell'Economia Agraria (CREA), Branch Office of Gorizia, Via Trieste 23, 34170 Gorizia, Italy
Antonia Galvez
Instituto Andaluz de Ciencias de la Tierra (CSIC-UGR), Avenida de las Palmeras 4, 18100 Armilla, Granada, Spain
Miguel Angel Sánchez-Monedero
Centro de Edafología y Biología Aplicada del Segura (CEBAS-CSIC), Department of Soil and Water Conservation and Waste Management,
Campus Universitario de Espinardo, Apartado de Correos 164, 30100 Espinardo, Murcia, Spain
Related authors
No articles found.
Francisco Contreras, María Luz Cayuela, Miguel Ángel Sánchez-Monedero, and Pedro Pérez-Cutillas
EGUsphere, https://doi.org/10.5194/egusphere-2025-917, https://doi.org/10.5194/egusphere-2025-917, 2025
Short summary
Short summary
This article presents a modeling approach for mapping Above-Ground Biomass Density using remote sensing data. The model was trained with GEDI data and multisource datasets, employing a volumetric approach to estimate biomass in olive trees. The study provides a national-scale distribution of biomass density and quantifies the biomass stock in the olive orchard sector. Spain is the largest producer of olive orchard biomass in Europe, although it does not have the highest biomass yield density.
Related subject area
Biogeochemistry: Soils
Modelling the effect of climate–substrate interactions on soil organic matter decomposition with the Jena Soil Model
Solubility characteristics of soil humic substances as a function of pH: mechanisms and biogeochemical perspectives
Exploring microscale heterogeneity as a driver of biogeochemical transformations and gas transport in peat
Dissolved organic matter fosters core mercury-methylating microbiomes for methylmercury production in paddy soils
A microbially driven and depth-explicit soil organic carbon model constrained by carbon isotopes to reduce parameter equifinality
Earth observation reveals reduced winter wheat growth and the importance of plant available water during drought
Plutonium concentrations link soil organic matter decline to wind erosion in ploughed soils of South Africa
Litter biomass as a driver of soil VOC fluxes in a Mediterranean forest
A synthesis of Sphagnum litterbag experiments: initial leaching losses bias decomposition rate estimates
Carbon and Nitrogen Dynamics in Subsoils After 20 years of Added Precipitation in a Mediterranean Grassland
Effect of straw retention and mineral fertilization on P speciation and P-transformation microorganisms in water- extractable colloids of a Vertisol
A new approach to continuous monitoring of carbon use efficiency and biosynthesis in soil microbes from measurement of CO2 and O2
Validating laboratory insights into the drivers of soil rewetting respiration pulses with field measurements
Diverse organic carbon dynamics captured by radiocarbon analysis of distinct compound classes in a grassland soil
Effects of basalt, concrete fines, and steel slag on maize growth and heavy metal accumulation in an enhanced weathering experiment
The effects of land use on soil carbon stocks in the UK
Technical note: A validated correction method to quantify organic and inorganic carbon in soils using Rock-Eval® thermal analysis
Depth Effects of Long-term Organic Residue Application on Soil Organic Carbon Stocks in Central Kenya
Distinct changes in carbon, nitrogen, and phosphorus cycling in the litter layer across two contrasting forest-tundra ecotones
Vegetation patterns associated with nutrient availability and supply in high-elevation tropical Andean ecosystems
Technical note: An open-source, low-cost system for continuous monitoring of low nitrate concentrations in soil and open water
Long-term fertilization increases soil but not plant or microbial N in a Chihuahuan Desert grassland
Factors controlling spatiotemporal variability of soil carbon accumulation and stock estimates in a tidal salt marsh
Moisture and temperature effects on the radiocarbon signature of respired carbon dioxide to assess stability of soil carbon in the Tibetan Plateau
Non-mycorrhizal root-associated fungi increase soil C stocks and stability via diverse mechanisms
Nine years of warming and nitrogen addition in the Tibetan grassland promoted loss of soil organic carbon but did not alter the bulk change in chemical structure
Soil priming effects and involved microbial community along salt gradients
Adjustments to the Rock-Eval® thermal analysis for soil organic and inorganic carbon quantification
Ecosystem-specific patterns and drivers of global reactive iron mineral-associated organic carbon
Dark septate endophytic fungi associated with pioneer grass inhabiting volcanic deposits and their functions in promoting plant growth
Global patterns and drivers of phosphorus fractions in natural soils
Reviews and syntheses: Iron – a driver of nitrogen bioavailability in soils?
How well does ramped thermal oxidation quantify the age distribution of soil carbon? Assessing thermal stability of physically and chemically fractionated soil organic matter
Differential temperature sensitivity of intracellular metabolic processes and extracellular soil enzyme activities
Mapping soil organic carbon fractions for Australia, their stocks, and uncertainty
Technical note: The recovery rate of free particulate organic matter from soil samples is strongly affected by the method of density fractionation
Deforestation for agriculture leads to soil warming and enhanced litter decomposition in subarctic soils
Temperature sensitivity of soil organic carbon respiration along a forested elevation gradient in the Rwenzori Mountains, Uganda
The influence of elevated CO2 and soil depth on rhizosphere activity and nutrient availability in a mature Eucalyptus woodland
The paradox of assessing greenhouse gases from soils for nature-based solutions
Management-induced changes in soil organic carbon on global croplands
Pore network modeling as a new tool for determining gas diffusivity in peat
Temperature sensitivity of dark CO2 fixation in temperate forest soils
Effects of precipitation seasonality, irrigation, vegetation cycle and soil type on enhanced weathering – modeling of cropland case studies across four sites
Stable isotope profiles of soil organic carbon in forested and grassland landscapes in the Lake Alaotra basin (Madagascar): insights in past vegetation changes
Reviews and syntheses: The promise of big diverse soil data, moving current practices towards future potential
Dynamics of rare earth elements and associated major and trace elements during Douglas-fir (Pseudotsuga menziesii) and European beech (Fagus sylvatica L.) litter degradation
To what extent can soil moisture and soil Cu contamination stresses affect nitrous species emissions? Estimation through calibration of a nitrification–denitrification model
Carbon, nitrogen, and phosphorus stoichiometry of organic matter in Swedish forest soils and its relationship with climate, tree species, and soil texture
Soil geochemistry as a driver of soil organic matter composition: insights from a soil chronosequence
Marleen Pallandt, Marion Schrumpf, Holger Lange, Markus Reichstein, Lin Yu, and Bernhard Ahrens
Biogeosciences, 22, 1907–1928, https://doi.org/10.5194/bg-22-1907-2025, https://doi.org/10.5194/bg-22-1907-2025, 2025
Short summary
Short summary
As soils warm due to climate change, soil organic carbon (SOC) decomposes faster due to increased microbial activity, given sufficient available moisture. We modelled the microbial decomposition of plant litter and residue at different depths and found that deep soil layers are more sensitive than topsoils. Warming causes SOC loss, but its extent depends on the litter type and its temperature sensitivity, which can either counteract or amplify losses. Droughts may also counteract warming-induced SOC losses.
Xuemei Yang, Jie Zhang, Khan M. G. Mostofa, Mohammad Mohinuzzaman, H. Henry Teng, Nicola Senesi, Giorgio S. Senesi, Jie Yuan, Yu Liu, Si-Liang Li, Xiaodong Li, Baoli Wang, and Cong-Qiang Liu
Biogeosciences, 22, 1745–1765, https://doi.org/10.5194/bg-22-1745-2025, https://doi.org/10.5194/bg-22-1745-2025, 2025
Short summary
Short summary
The solubility characteristics of soil humic acids (HAs), fulvic acids (FAs), and protein-like substances (PLSs) at varying pH levels remain unclear. The key findings include the following: HA solubility increases with increasing pH and decreases with decreasing pH; HApH6 and HApH1 contribute to 39.1–49.2% and 3.1–24.1% of dissolved organic carbon, respectively; and HApH2, FA, and PLSs are highly soluble at acidic pHs and are transported by ambient water. These issues are crucial for sustainable soil management.
Lukas Kohl, Petri Kiuru, Marjo Palviainen, Maarit Raivonen, Markku Koskinen, Mari Pihlatie, and Annamari Laurén
Biogeosciences, 22, 1711–1727, https://doi.org/10.5194/bg-22-1711-2025, https://doi.org/10.5194/bg-22-1711-2025, 2025
Short summary
Short summary
We present an assay to illuminate heterogeneity in biogeochemical transformations within peat samples. For this, we injected isotope-labeled acetate into peat cores and monitored the release of label-derived gases, which we compared to microtomography images. The fraction of label converted to CO2 and the rapidness of this conversion were linked to injection depth and air-filled porosity.
Qiang Pu, Bo Meng, Jen-How Huang, Kun Zhang, Jiang Liu, Yurong Liu, Mahmoud A. Abdelhafiz, and Xinbin Feng
Biogeosciences, 22, 1543–1556, https://doi.org/10.5194/bg-22-1543-2025, https://doi.org/10.5194/bg-22-1543-2025, 2025
Short summary
Short summary
This study examines the effect of dissolved organic matter (DOM) on microbial mercury (Hg) methylation in paddy soils. It uncovers that DOM regulates Hg methylation mainly through altering core Hg-methylating microbiome composition and boosting the growth of core Hg-methylating microorganisms. The study highlights that in the regulation of methylmercury formation in paddy soils, more attention should be paid to changes in DOM concentration and composition.
Marijn Van de Broek, Gerard Govers, Marion Schrumpf, and Johan Six
Biogeosciences, 22, 1427–1446, https://doi.org/10.5194/bg-22-1427-2025, https://doi.org/10.5194/bg-22-1427-2025, 2025
Short summary
Short summary
Soil organic carbon models are used to predict how soils affect the concentration of CO2 in the atmosphere. We show that equifinality – the phenomenon that different parameter values lead to correct overall model outputs, albeit with a different model behaviour – is an important source of model uncertainty. Our results imply that adding more complexity to soil organic carbon models is unlikely to lead to better predictions as long as more data to constrain model parameters are not available.
Hanna Sjulgård, Lukas Valentin Graf, Tino Colombi, Juliane Hirte, Thomas Keller, and Helge Aasen
Biogeosciences, 22, 1341–1354, https://doi.org/10.5194/bg-22-1341-2025, https://doi.org/10.5194/bg-22-1341-2025, 2025
Short summary
Short summary
Our study showed that stress-related crop response to changing environmental conditions can be detected by monitoring crops using satellite images at the landscape level. This could be useful for farmers to identify when stresses occur. Our results also suggest that satellite imagery can be used to discover soil impacts on crop development at farm fields. The inclusion of soil properties in satellite image analyses could further improve the accuracy of the prediction of drought stress on crops.
Joel Mohren, Hendrik Wiesel, Wulf Amelung, L. Keith Fifield, Alexandra Sandhage-Hofmann, Erik Strub, Steven A. Binnie, Stefan Heinze, Elmarie Kotze, Chris Du Preez, Stephen G. Tims, and Tibor J. Dunai
Biogeosciences, 22, 1077–1094, https://doi.org/10.5194/bg-22-1077-2025, https://doi.org/10.5194/bg-22-1077-2025, 2025
Short summary
Short summary
We measured concentrations of nuclear fallout in soil samples taken from arable land in South Africa. We find that during the second half of the 20th century, the data strongly correlate with the organic matter content of the soils. The finding implies that wind erosion strongly influenced the loss of organic matter in the soils we investigated. Furthermore, the exponential decline of fallout concentrations and organic matter content over time peaks shortly after native grassland is ploughed.
Manon Rocco, Julien Kammer, Mathieu Santonja, Brice Temime-Roussel, Cassandra Saignol, Caroline Lecareux, Etienne Quivet, Henri Wortham, and Elena Ormeno
EGUsphere, https://doi.org/10.5194/egusphere-2025-54, https://doi.org/10.5194/egusphere-2025-54, 2025
Short summary
Short summary
Soil emissions of biogenic volatile organic compounds (BVOCs) play a significant role in ecosystems, yet the impact of litter accumulation on these emissions is often overlooked, particularly in Mediterranean deciduous forests. A study in downy oak forest identified over 135 BVOCs, many absorbed by the soil, while others were emitted and increased with litter biomass. This underscores the critical role of litter and microbial activity in shaping soil BVOC dynamics under changing climates.
Henning Teickner, Edzer Pebesma, and Klaus-Holger Knorr
Biogeosciences, 22, 417–433, https://doi.org/10.5194/bg-22-417-2025, https://doi.org/10.5194/bg-22-417-2025, 2025
Short summary
Short summary
Decomposition rates for Sphagnum mosses, the main peat-forming plants in northern peatlands, are often derived from litterbag experiments. Here, we estimate initial leaching losses from available Sphagnum litterbag experiments and analyze how decomposition rates are biased when initial leaching losses are ignored. Our analyses indicate that initial leaching losses range between 3 to 18 mass-% and that this may result in overestimated mass losses when extrapolated to several decades.
Leila Maria Wahab, Sora Kim, and Asmeret Asefaw Berhe
EGUsphere, https://doi.org/10.5194/egusphere-2024-3607, https://doi.org/10.5194/egusphere-2024-3607, 2025
Short summary
Short summary
Soils are a large reservoir of carbon on land and there is uncertainty regarding how it will be affected by climate change. There is still active research about how changing precipitation patterns, a key aspect of climate change, will affect soil carbon and furthermore how vulnerable subsoils are to climate change. In this study, we studied subsoils after 20 years of experimentally manipulated precipitation shifts to see whether increasing precipitation would affect carbon amounts and chemistry.
Shanshan Bai, Yifei Ge, Dongtan Yao, Yifan Wang, Jinfang Tan, Shuai Zhang, Yutao Peng, and Xiaoqian Jiang
Biogeosciences, 22, 135–151, https://doi.org/10.5194/bg-22-135-2025, https://doi.org/10.5194/bg-22-135-2025, 2025
Short summary
Short summary
Mineral fertilization led to increases in total P, available P, high-activity inorganic P fractions, and organic P but reduced the abundance of P-cycling genes by decreasing soil pH and increasing P in bulk soil. Straw retention enhanced organic carbon, total P, and available P concentrations in water-extractable colloids (WECs). Abundances of the phoD gene and phoD-harboring Proteobacteria in WECs were elevated under straw retention, suggesting an increase in P-mineralization capacity.
Kyle E. Smart, Daniel O. Breecker, Christopher B. Blackwood, and Timothy M. Gallagher
Biogeosciences, 22, 87–101, https://doi.org/10.5194/bg-22-87-2025, https://doi.org/10.5194/bg-22-87-2025, 2025
Short summary
Short summary
When microbes consume carbon within soils, it is important to know how much carbon is respired and lost as carbon dioxide versus how much is used to make new biomass. We used a new approach of monitoring carbon dioxide and oxygen to track the fate of consumed carbon during a series of laboratory experiments where sugar was added to moistened soil. Our approach allowed us to estimate how much sugar was converted to dead microbial biomass, which is more likely to be preserved in soils.
Xiankun Li, Marleen Pallandt, Dilip Naidu, Johannes Rousk, Gustaf Hugelius, and Stefano Manzoni
EGUsphere, https://doi.org/10.5194/egusphere-2024-3324, https://doi.org/10.5194/egusphere-2024-3324, 2024
Short summary
Short summary
While laboratory studies have identified many drivers and their effects on the carbon emission pulse after rewetting of dry soils, a validation with field data is still missing. Here, we show that the carbon emission pulse in the laboratory and in the field increases with soil organic carbon and temperature, but their trends with pre-rewetting dryness and moisture increment at rewetting differ. We conclude that the laboratory findings can be partially validated.
Katherine E. Grant, Marisa N. Repasch, Kari M. Finstad, Julia D. Kerr, Maxwell Marple, Christopher J. Larson, Taylor A. B. Broek, Jennifer Pett-Ridge, and Karis J. McFarlane
Biogeosciences, 21, 4395–4411, https://doi.org/10.5194/bg-21-4395-2024, https://doi.org/10.5194/bg-21-4395-2024, 2024
Short summary
Short summary
Soils store organic carbon composed of multiple compounds from plants and microbes for different lengths of time. To understand how soils store these different carbon types, we measure the time each carbon fraction is in a grassland soil profile. Our results show that the length of time each individual soil fraction is in our soil changes. Our approach allows a detailed look at the different components in soils. This study can help improve our understanding of soil dynamics.
Jet Rijnders, Arthur Vienne, and Sara Vicca
EGUsphere, https://doi.org/10.5194/egusphere-2024-3022, https://doi.org/10.5194/egusphere-2024-3022, 2024
Short summary
Short summary
A mesocosm experiment was set-up to investigate how maize responds to basalt, concrete fines and steel slags application, using a dose-response approach. Biomass increased with basalt application, but did not change with concrete fines or steel slags, except for increased tassel biomass. Mg, Ca and Si generally increased in the crops, while heavy metal concentrations remained unaffected or even decreased in the plants. Overall, crops were positively affected by application of silicate materials.
Peter Levy, Laura Bentley, Peter Danks, Bridget Emmett, Angus Garbutt, Stephen Heming, Peter Henrys, Aidan Keith, Inma Lebron, Niall McNamara, Richard Pywell, John Redhead, David Robinson, and Alexander Wickenden
Biogeosciences, 21, 4301–4315, https://doi.org/10.5194/bg-21-4301-2024, https://doi.org/10.5194/bg-21-4301-2024, 2024
Short summary
Short summary
We collated a large data set (15 790 soil cores) on soil carbon stock in different land uses. Soil carbon stocks were highest in woodlands and lowest in croplands. The variability in the effects was large. This has important implications for agri-environment schemes seeking to sequester carbon in the soil by altering land use because the effect of a given intervention is very hard to verify.
Marija Stojanova, Pierre Arbelet, François Baudin, Nicolas Bouton, Giovanni Caria, Lorenza Pacini, Nicolas Proix, Edouard Quibel, Achille Thin, and Pierre Barré
Biogeosciences, 21, 4229–4237, https://doi.org/10.5194/bg-21-4229-2024, https://doi.org/10.5194/bg-21-4229-2024, 2024
Short summary
Short summary
Because of its importance for climate regulation and soil health, many studies focus on carbon dynamics in soils. However, quantifying organic and inorganic carbon remains an issue in carbonated soils. In this technical note, we propose a validated correction method to quantify organic and inorganic carbon in soils using Rock-Eval® thermal analysis. With this correction, the Rock-Eval® method has the potential to become the standard method for quantifying carbon in carbonate soils.
Claude Raoul Müller, Johan Six, Daniel Mugendi Njiru, Bernard Vanlauwe, and Marijn Van de Broek
EGUsphere, https://doi.org/10.5194/egusphere-2024-2796, https://doi.org/10.5194/egusphere-2024-2796, 2024
Short summary
Short summary
We studied how different organic and inorganic nutrient inputs affect soil organic carbon (SOC) down to 70 cm in Kenya. After 19 years, all organic treatments increased SOC stocks as compared to the control, but mineral nitrogen had no significant effect. Manure was the organic treatment that significantly increased SOC the deepest as its effect could be observed down to 60 cm. Manure was the best strategy to limit SOC loss in croplands and maintain soil quality after deforestation.
Frank Hagedorn, Joesphine Imboden, Pavel Moiseev, Decai Gao, Emmanuel Frossard, Daniel Christen, Konstantin Gavazov, and Jasmin Fetzer
EGUsphere, https://doi.org/10.5194/egusphere-2024-2622, https://doi.org/10.5194/egusphere-2024-2622, 2024
Short summary
Short summary
At treeline, plant species change abruptly from low stature plants in tundra to trees in forests. Our study documents that from tundra towards forest, the litter layer gets strongly enriched in nutrients. We show that these litter quality changes alter nutrient processing by soil microbes and increase the nutrient release during decomposition in forest than in tundra. The associated improvement of nutrient availability in the forest potentially stimulates tree growth and treeline shifts.
Armando Molina, Veerle Vanacker, Oliver Chadwick, Santiago Zhiminaicela, Marife Corre, and Edzo Veldkamp
Biogeosciences, 21, 3075–3091, https://doi.org/10.5194/bg-21-3075-2024, https://doi.org/10.5194/bg-21-3075-2024, 2024
Short summary
Short summary
The tropical Andes contains unique landscapes where forest patches are surrounded by tussock grasses and cushion-forming plants. The aboveground vegetation composition informs us about belowground nutrient availability: patterns in plant-available nutrients resulted from strong biocycling of cations and removal of soil nutrients by plant uptake or leaching. Future changes in vegetation distribution will affect soil water and solute fluxes and the aquatic ecology of Andean rivers and lakes.
Sahiti Bulusu, Cristina Prieto García, Helen E. Dahlke, and Elad Levintal
Biogeosciences, 21, 3007–3013, https://doi.org/10.5194/bg-21-3007-2024, https://doi.org/10.5194/bg-21-3007-2024, 2024
Short summary
Short summary
Do-it-yourself hardware is a new way to improve measurement resolution. We present a low-cost, automated system for field measurements of low nitrate concentrations in soil porewater and open water bodies. All data hardware components cost USD 1100, which is much cheaper than other available commercial solutions. We provide the complete building guide to reduce technical barriers, which we hope will allow easier reproducibility and set up new soil and environmental monitoring applications.
Violeta Mendoza-Martinez, Scott L. Collins, and Jennie R. McLaren
Biogeosciences, 21, 2655–2667, https://doi.org/10.5194/bg-21-2655-2024, https://doi.org/10.5194/bg-21-2655-2024, 2024
Short summary
Short summary
We examine the impacts of multi-decadal nitrogen additions on a dryland ecosystem N budget, including the soil, microbial, and plant N pools. After 26 years, there appears to be little impact on the soil microbial or plant community and only minimal increases in N pools within the soil. While perhaps encouraging from a conservation standpoint, we calculate that greater than 95 % of the nitrogen added to the system is not retained and is instead either lost deeper in the soil or emitted as gas.
Sean Fettrow, Andrew Wozniak, Holly A. Michael, and Angelia L. Seyfferth
Biogeosciences, 21, 2367–2384, https://doi.org/10.5194/bg-21-2367-2024, https://doi.org/10.5194/bg-21-2367-2024, 2024
Short summary
Short summary
Salt marshes play a big role in global carbon (C) storage, and C stock estimates are used to predict future changes. However, spatial and temporal gradients in C burial rates over the landscape exist due to variations in water inundation, dominant plant species and stage of growth, and tidal action. We quantified soil C concentrations in soil cores across time and space beside several porewater biogeochemical variables and discussed the controls on variability in soil C in salt marsh ecosystems.
Andrés Tangarife-Escobar, Georg Guggenberger, Xiaojuan Feng, Guohua Dai, Carolina Urbina-Malo, Mina Azizi-Rad, and Carlos A. Sierra
Biogeosciences, 21, 1277–1299, https://doi.org/10.5194/bg-21-1277-2024, https://doi.org/10.5194/bg-21-1277-2024, 2024
Short summary
Short summary
Soil organic matter stability depends on future temperature and precipitation scenarios. We used radiocarbon (14C) data and model predictions to understand how the transit time of carbon varies under environmental change in grasslands and peatlands. Soil moisture affected the Δ14C of peatlands, while temperature did not have any influence. Our models show the correspondence between Δ14C and transit time and could allow understanding future interactions between terrestrial and atmospheric carbon
Emiko K. Stuart, Laura Castañeda-Gómez, Wolfram Buss, Jeff R. Powell, and Yolima Carrillo
Biogeosciences, 21, 1037–1059, https://doi.org/10.5194/bg-21-1037-2024, https://doi.org/10.5194/bg-21-1037-2024, 2024
Short summary
Short summary
We inoculated wheat plants with various types of fungi whose impacts on soil carbon are poorly understood. After several months of growth, we examined both their impacts on soil carbon and the underlying mechanisms using multiple methods. Overall the fungi benefitted the storage of carbon in soil, mainly by improving the stability of pre-existing carbon, but several pathways were involved. This study demonstrates their importance for soil carbon storage and, therefore, climate change mitigation.
Huimin Sun, Michael W. I. Schmidt, Jintao Li, Jinquan Li, Xiang Liu, Nicholas O. E. Ofiti, Shurong Zhou, and Ming Nie
Biogeosciences, 21, 575–589, https://doi.org/10.5194/bg-21-575-2024, https://doi.org/10.5194/bg-21-575-2024, 2024
Short summary
Short summary
A soil organic carbon (SOC) molecular structure suggested that the easily decomposable and stabilized SOC is similarly affected after 9-year warming and N treatments despite large changes in SOC stocks. Given the long residence time of some SOC, the similar loss of all measurable chemical forms of SOC under global change treatments could have important climate consequences.
Haoli Zhang, Doudou Chang, Zhifeng Zhu, Chunmei Meng, and Kaiyong Wang
Biogeosciences, 21, 1–11, https://doi.org/10.5194/bg-21-1-2024, https://doi.org/10.5194/bg-21-1-2024, 2024
Short summary
Short summary
Soil salinity mediates microorganisms and soil processes like soil organic carbon (SOC) cycling. We observed that negative priming effects at the early stages might be due to the preferential utilization of cottonseed meal. The positive priming that followed decreased with the increase in salinity.
Joséphine Hazera, David Sebag, Isabelle Kowalewski, Eric Verrecchia, Herman Ravelojaona, and Tiphaine Chevallier
Biogeosciences, 20, 5229–5242, https://doi.org/10.5194/bg-20-5229-2023, https://doi.org/10.5194/bg-20-5229-2023, 2023
Short summary
Short summary
This study adapts the Rock-Eval® protocol to quantify soil organic carbon (SOC) and soil inorganic carbon (SIC) on a non-pretreated soil aliquot. The standard protocol properly estimates SOC contents once the TOC parameter is corrected. However, it cannot complete the thermal breakdown of SIC amounts > 4 mg, leading to an underestimation of high SIC contents by the MinC parameter, even after correcting for this. Thus, the final oxidation isotherm is extended to 7 min to quantify any SIC amount.
Bo Zhao, Amin Dou, Zhiwei Zhang, Zhenyu Chen, Wenbo Sun, Yanli Feng, Xiaojuan Wang, and Qiang Wang
Biogeosciences, 20, 4761–4774, https://doi.org/10.5194/bg-20-4761-2023, https://doi.org/10.5194/bg-20-4761-2023, 2023
Short summary
Short summary
This study provided a comprehensive analysis of the spatial variability and determinants of Fe-bound organic carbon (Fe-OC) among terrestrial, wetland, and marine ecosystems and its governing factors globally. We illustrated that reactive Fe was not only an important sequestration mechanism for OC in terrestrial ecosystems but also an effective “rusty sink” of OC preservation in wetland and marine ecosystems, i.e., a key factor for long-term OC storage in global ecosystems.
Han Sun, Tomoyasu Nishizawa, Hiroyuki Ohta, and Kazuhiko Narisawa
Biogeosciences, 20, 4737–4749, https://doi.org/10.5194/bg-20-4737-2023, https://doi.org/10.5194/bg-20-4737-2023, 2023
Short summary
Short summary
In this research, we assessed the diversity and function of the dark septate endophytic (DSE) fungi community associated with Miscanthus condensatus root in volcanic ecosystems. Both metabarcoding and isolation were adopted in this study. We further validated effects on plant growth by inoculation of some core DSE isolates. This study helps improve our understanding of the role of Miscanthus condensatus-associated DSE fungi during the restoration of post-volcanic ecosystems.
Xianjin He, Laurent Augusto, Daniel S. Goll, Bruno Ringeval, Ying-Ping Wang, Julian Helfenstein, Yuanyuan Huang, and Enqing Hou
Biogeosciences, 20, 4147–4163, https://doi.org/10.5194/bg-20-4147-2023, https://doi.org/10.5194/bg-20-4147-2023, 2023
Short summary
Short summary
We identified total soil P concentration as the most important predictor of all soil P pool concentrations, except for primary mineral P concentration, which is primarily controlled by soil pH and only secondarily by total soil P concentration. We predicted soil P pools’ distributions in natural systems, which can inform assessments of the role of natural P availability for ecosystem productivity, climate change mitigation, and the functioning of the Earth system.
Imane Slimani, Xia Zhu-Barker, Patricia Lazicki, and William Horwath
Biogeosciences, 20, 3873–3894, https://doi.org/10.5194/bg-20-3873-2023, https://doi.org/10.5194/bg-20-3873-2023, 2023
Short summary
Short summary
There is a strong link between nitrogen availability and iron minerals in soils. These minerals have multiple outcomes for nitrogen availability depending on soil conditions and properties. For example, iron can limit microbial degradation of nitrogen in aerated soils but has opposing outcomes in non-aerated soils. This paper focuses on the multiple ways iron can affect nitrogen bioavailability in soils.
Shane W. Stoner, Marion Schrumpf, Alison Hoyt, Carlos A. Sierra, Sebastian Doetterl, Valier Galy, and Susan Trumbore
Biogeosciences, 20, 3151–3163, https://doi.org/10.5194/bg-20-3151-2023, https://doi.org/10.5194/bg-20-3151-2023, 2023
Short summary
Short summary
Soils store more carbon (C) than any other terrestrial C reservoir, but the processes that control how much C stays in soil, and for how long, are very complex. Here, we used a recent method that involves heating soil in the lab to measure the range of C ages in soil. We found that most C in soil is decades to centuries old, while some stays for much shorter times (days to months), and some is thousands of years old. Such detail helps us to estimate how soil C may react to changing climate.
Adetunji Alex Adekanmbi, Laurence Dale, Liz Shaw, and Tom Sizmur
Biogeosciences, 20, 2207–2219, https://doi.org/10.5194/bg-20-2207-2023, https://doi.org/10.5194/bg-20-2207-2023, 2023
Short summary
Short summary
The decomposition of soil organic matter and flux of carbon dioxide are expected to increase as temperatures rise. However, soil organic matter decomposition is a two-step process whereby large molecules are first broken down outside microbial cells and then respired within microbial cells. We show here that these two steps are not equally sensitive to increases in soil temperature and that global warming may cause a shift in the rate-limiting step from outside to inside the microbial cell.
Mercedes Román Dobarco, Alexandre M. J-C. Wadoux, Brendan Malone, Budiman Minasny, Alex B. McBratney, and Ross Searle
Biogeosciences, 20, 1559–1586, https://doi.org/10.5194/bg-20-1559-2023, https://doi.org/10.5194/bg-20-1559-2023, 2023
Short summary
Short summary
Soil organic carbon (SOC) is of a heterogeneous nature and varies in chemistry, stabilisation mechanisms, and persistence in soil. In this study we mapped the stocks of SOC fractions with different characteristics and turnover rates (presumably PyOC >= MAOC > POC) across Australia, combining spectroscopy and digital soil mapping. The SOC stocks (0–30 cm) were estimated as 13 Pg MAOC, 2 Pg POC, and 5 Pg PyOC.
Frederick Büks
Biogeosciences, 20, 1529–1535, https://doi.org/10.5194/bg-20-1529-2023, https://doi.org/10.5194/bg-20-1529-2023, 2023
Short summary
Short summary
Ultrasonication with density fractionation of soils is a commonly used method to separate soil organic matter pools, which is, e.g., important to calculate carbon turnover in landscapes. It is shown that the approach that merges soil and dense solution without mixing has a low recovery rate and causes co-extraction of parts of the retained labile pool along with the intermediate pool. An alternative method with high recovery rates and no cross-contamination was recommended.
Tino Peplau, Christopher Poeplau, Edward Gregorich, and Julia Schroeder
Biogeosciences, 20, 1063–1074, https://doi.org/10.5194/bg-20-1063-2023, https://doi.org/10.5194/bg-20-1063-2023, 2023
Short summary
Short summary
We buried tea bags and temperature loggers in a paired-plot design in soils under forest and agricultural land and retrieved them after 2 years to quantify the effect of land-use change on soil temperature and litter decomposition in subarctic agricultural systems. We could show that agricultural soils were on average 2 °C warmer than forests and that litter decomposition was enhanced. The results imply that deforestation amplifies effects of climate change on soil organic matter dynamics.
Joseph Okello, Marijn Bauters, Hans Verbeeck, Samuel Bodé, John Kasenene, Astrid Françoys, Till Engelhardt, Klaus Butterbach-Bahl, Ralf Kiese, and Pascal Boeckx
Biogeosciences, 20, 719–735, https://doi.org/10.5194/bg-20-719-2023, https://doi.org/10.5194/bg-20-719-2023, 2023
Short summary
Short summary
The increase in global and regional temperatures has the potential to drive accelerated soil organic carbon losses in tropical forests. We simulated climate warming by translocating intact soil cores from higher to lower elevations. The results revealed increasing temperature sensitivity and decreasing losses of soil organic carbon with increasing elevation. Our results suggest that climate warming may trigger enhanced losses of soil organic carbon from tropical montane forests.
Johanna Pihlblad, Louise C. Andresen, Catriona A. Macdonald, David S. Ellsworth, and Yolima Carrillo
Biogeosciences, 20, 505–521, https://doi.org/10.5194/bg-20-505-2023, https://doi.org/10.5194/bg-20-505-2023, 2023
Short summary
Short summary
Elevated CO2 in the atmosphere increases forest biomass productivity when growth is not limited by soil nutrients. This study explores how mature trees stimulate soil availability of nitrogen and phosphorus with free-air carbon dioxide enrichment after 5 years of fumigation. We found that both nutrient availability and processes feeding available pools increased in the rhizosphere, and phosphorus increased at depth. This appears to not be by decomposition but by faster recycling of nutrients.
Rodrigo Vargas and Van Huong Le
Biogeosciences, 20, 15–26, https://doi.org/10.5194/bg-20-15-2023, https://doi.org/10.5194/bg-20-15-2023, 2023
Short summary
Short summary
Quantifying the role of soils in nature-based solutions requires accurate estimates of soil greenhouse gas (GHG) fluxes. We suggest that multiple GHG fluxes should not be simultaneously measured at a few fixed time intervals, but an optimized sampling approach can reduce bias and uncertainty. Our results have implications for assessing GHG fluxes from soils and a better understanding of the role of soils in nature-based solutions.
Kristine Karstens, Benjamin Leon Bodirsky, Jan Philipp Dietrich, Marta Dondini, Jens Heinke, Matthias Kuhnert, Christoph Müller, Susanne Rolinski, Pete Smith, Isabelle Weindl, Hermann Lotze-Campen, and Alexander Popp
Biogeosciences, 19, 5125–5149, https://doi.org/10.5194/bg-19-5125-2022, https://doi.org/10.5194/bg-19-5125-2022, 2022
Short summary
Short summary
Soil organic carbon (SOC) has been depleted by anthropogenic land cover change and agricultural management. While SOC models often simulate detailed biochemical processes, the management decisions are still little investigated at the global scale. We estimate that soils have lost around 26 GtC relative to a counterfactual natural state in 1975. Yet, since 1975, SOC has been increasing again by 4 GtC due to a higher productivity, recycling of crop residues and manure, and no-tillage practices.
Petri Kiuru, Marjo Palviainen, Arianna Marchionne, Tiia Grönholm, Maarit Raivonen, Lukas Kohl, and Annamari Laurén
Biogeosciences, 19, 5041–5058, https://doi.org/10.5194/bg-19-5041-2022, https://doi.org/10.5194/bg-19-5041-2022, 2022
Short summary
Short summary
Peatlands are large carbon stocks. Emissions of carbon dioxide and methane from peatlands may increase due to changes in management and climate. We studied the variation in the gas diffusivity of peat with depth using pore network simulations and laboratory experiments. Gas diffusivity was found to be lower in deeper peat with smaller pores and lower pore connectivity. However, gas diffusivity was not extremely low in wet conditions, which may reflect the distinctive structure of peat.
Rachael Akinyede, Martin Taubert, Marion Schrumpf, Susan Trumbore, and Kirsten Küsel
Biogeosciences, 19, 4011–4028, https://doi.org/10.5194/bg-19-4011-2022, https://doi.org/10.5194/bg-19-4011-2022, 2022
Short summary
Short summary
Soils will likely become warmer in the future, and this can increase the release of carbon dioxide (CO2) into the atmosphere. As microbes can take up soil CO2 and prevent further escape into the atmosphere, this study compares the rate of uptake and release of CO2 at two different temperatures. With warming, the rate of CO2 uptake increases less than the rate of release, indicating that the capacity to modulate soil CO2 release into the atmosphere will decrease under future warming.
Giuseppe Cipolla, Salvatore Calabrese, Amilcare Porporato, and Leonardo V. Noto
Biogeosciences, 19, 3877–3896, https://doi.org/10.5194/bg-19-3877-2022, https://doi.org/10.5194/bg-19-3877-2022, 2022
Short summary
Short summary
Enhanced weathering (EW) is a promising strategy for carbon sequestration. Since models may help to characterize field EW, the present work applies a hydro-biogeochemical model to four case studies characterized by different rainfall seasonality, vegetation and soil type. Rainfall seasonality strongly affects EW dynamics, but low carbon sequestration suggests that an in-depth analysis at the global scale is required to see if EW may be effective to mitigate climate change.
Vao Fenotiana Razanamahandry, Marjolein Dewaele, Gerard Govers, Liesa Brosens, Benjamin Campforts, Liesbet Jacobs, Tantely Razafimbelo, Tovonarivo Rafolisy, and Steven Bouillon
Biogeosciences, 19, 3825–3841, https://doi.org/10.5194/bg-19-3825-2022, https://doi.org/10.5194/bg-19-3825-2022, 2022
Short summary
Short summary
In order to shed light on possible past vegetation shifts in the Central Highlands of Madagascar, we measured stable isotope ratios of organic carbon in soil profiles along both forested and grassland hillslope transects in the Lake Alaotra region. Our results show that the landscape of this region was more forested in the past: soils in the C4-dominated grasslands contained a substantial fraction of C3-derived carbon, increasing with depth.
Katherine E. O. Todd-Brown, Rose Z. Abramoff, Jeffrey Beem-Miller, Hava K. Blair, Stevan Earl, Kristen J. Frederick, Daniel R. Fuka, Mario Guevara Santamaria, Jennifer W. Harden, Katherine Heckman, Lillian J. Heran, James R. Holmquist, Alison M. Hoyt, David H. Klinges, David S. LeBauer, Avni Malhotra, Shelby C. McClelland, Lucas E. Nave, Katherine S. Rocci, Sean M. Schaeffer, Shane Stoner, Natasja van Gestel, Sophie F. von Fromm, and Marisa L. Younger
Biogeosciences, 19, 3505–3522, https://doi.org/10.5194/bg-19-3505-2022, https://doi.org/10.5194/bg-19-3505-2022, 2022
Short summary
Short summary
Research data are becoming increasingly available online with tantalizing possibilities for reanalysis. However harmonizing data from different sources remains challenging. Using the soils community as an example, we walked through the various strategies that researchers currently use to integrate datasets for reanalysis. We find that manual data transcription is still extremely common and that there is a critical need for community-supported informatics tools like vocabularies and ontologies.
Alessandro Montemagno, Christophe Hissler, Victor Bense, Adriaan J. Teuling, Johanna Ziebel, and Laurent Pfister
Biogeosciences, 19, 3111–3129, https://doi.org/10.5194/bg-19-3111-2022, https://doi.org/10.5194/bg-19-3111-2022, 2022
Short summary
Short summary
We investigated the biogeochemical processes that dominate the release and retention of elements (nutrients and potentially toxic elements) during litter degradation. Our results show that toxic elements are retained in the litter, while nutrients are released in solution during the first stages of degradation. This seems linked to the capability of trees to distribute the elements between degradation-resistant and non-degradation-resistant compounds of leaves according to their chemical nature.
Laura Sereni, Bertrand Guenet, Charlotte Blasi, Olivier Crouzet, Jean-Christophe Lata, and Isabelle Lamy
Biogeosciences, 19, 2953–2968, https://doi.org/10.5194/bg-19-2953-2022, https://doi.org/10.5194/bg-19-2953-2022, 2022
Short summary
Short summary
This study focused on the modellisation of two important drivers of soil greenhouse gas emissions: soil contamination and soil moisture change. The aim was to include a Cu function in the soil biogeochemical model DNDC for different soil moisture conditions and then to estimate variation in N2O, NO2 or NOx emissions. Our results show a larger effect of Cu on N2 and N2O emissions than on the other nitrogen species and a higher effect for the soils incubated under constant constant moisture.
Marie Spohn and Johan Stendahl
Biogeosciences, 19, 2171–2186, https://doi.org/10.5194/bg-19-2171-2022, https://doi.org/10.5194/bg-19-2171-2022, 2022
Short summary
Short summary
We explored the ratios of carbon (C), nitrogen (N), and phosphorus (P) of organic matter in Swedish forest soils. The N : P ratio of the organic layer was most strongly related to the mean annual temperature, while the C : N ratios of the organic layer and mineral soil were strongly related to tree species even in the subsoil. The organic P concentration in the mineral soil was strongly affected by soil texture, which diminished the effect of tree species on the C to organic P (C : OP) ratio.
Moritz Mainka, Laura Summerauer, Daniel Wasner, Gina Garland, Marco Griepentrog, Asmeret Asefaw Berhe, and Sebastian Doetterl
Biogeosciences, 19, 1675–1689, https://doi.org/10.5194/bg-19-1675-2022, https://doi.org/10.5194/bg-19-1675-2022, 2022
Short summary
Short summary
The largest share of terrestrial carbon is stored in soils, making them highly relevant as regards global change. Yet, the mechanisms governing soil carbon stabilization are not well understood. The present study contributes to a better understanding of these processes. We show that qualitative changes in soil organic matter (SOM) co-vary with alterations of the soil matrix following soil weathering. Hence, the type of SOM that is stabilized in soils might change as soils develop.
Cited articles
Abbas, F. and Fares, A.: Soil organic carbon and carbon dioxide emission from an organically amended Hawaiian tropical soil, Soil Sci. Soc. Am. J., 73, 995–1003, 2009.
Ahrens, B., Reichstein, M., Borken, W., Muhr, J., Trumbore, S. E., and Wutzler, T.: Bayesian calibration of a soil organic carbon model using Δ14C measurements of soil organic carbon and heterotrophic respiration as joint constraints, Biogeosciences, 11, 2147–2168, https://doi.org/10.5194/bg-11-2147-2014, 2014.
Antil, R. S., Bar-Tal, A., Fine, P., and Hadas, A.: Predicting nitrogen and carbon mineralization of composted manure and sewage sludge in soil, Compost Sci. Util., 19, 33–43, 2011.
Barak, P., Molina, J. A. E, Hadas, A., and Clapp, C. E.: Optimization of an ecological model with the Marquardt algorithm, Ecol. Model., 51, 251–263, 1990.
Batlle-Aguilar J., Brovelli A., Porporato A., and Barry, D. A.: Modelling soil carbon and nitrogen cycles during land use change, A review, Agron. Sustain. Dev., 31, 251–274, 2011.
Beloso, M. C., Villar, M. C., Carbaneiro, A., Carballas, M., Gonzalez-Pietro, S .J., and Carballas, T.: Carbon and nitrogen mineralization in an acid soil fertilized with composted urban refuses, Bioresource Technol., 45, 123–129, 1993.
Bhogal, A., Chambers, B. J., Whitmore, A. P., and Young, I.: DEFRA Organic manure and crop organic carbon returns – effects on soil quality: SOIL-QC, Final report for Defra Project SP0530, 72 pp., available at: http://randd.defra.gov.uk/Document.aspx?Document=SP0530_10030_FRP.pdf (last access: 23 November 2016), 2010.
Borgen, S. K., Molstad, L., Bruun, S., Breland, T. A., Bakken, L. R., and Bleken, M. A.: Estimation of plant litter pools and decomposition-related parameters in a mechanistic model, Plant Soil, 338, 205–222, 2011.
Bruun, S., Christensen, B. T., Hansen, E. M., Magid, J., and Jensen, L. S.: Calibration and validation of the soil organic matter dynamics of the Daisy model with data from the Askov long-term experiments, Soil Biol. Biochem., 35, 67–76, 2003.
Cabrera, M. L., Kissel, D. E., and Vigil M. F.: Nitrogen mineralization from organic residues: research opportunities, J. Environ. Qual., 34, 75–79, 2005.
Cavalli, D. and Bechini, L.: Sensitivity analysis and calibration of CN-SIM to simulate the mineralisation of liquid dairy manures, Soil Biol. Biochem, 43, 1207–1219, 2011.
Cavalli, D. and Bechini, L.: Multi-objective optimisation of a model of the decomposition of animal slurry in soil: Tradeoffs between simulated C and N dynamics, Soil Biol. Biochem., 48, 113–124, 2012.
Cavalli, D., Bechini, L., and Marino, P.: Measuring and modelling soil carbon respiration following repeated dairy slurry application, Soil Sci. Soc. Am. J., 78, 1414–1425, 2014.
Cayuela, M. L., Oenema, O., Kuikman, P. J., Bakker, R. R., and van Groeningen, J. W.: Bioenergy by-products as soil amendments? Implications for carbon sequestration and greenhouse gas emissions, GCB Bioenergy, 2, 201–213, 2010.
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, NATO ASI Series Volume 38, edited by: Powlson, D. S., Smith, P., and Smith, J. U., Springer-Verlag, Berlin, Germany, 237–246, 1996.
Coleman, K., Jenkinson, D. S., Crocker, G. J., Grace, P. R., Klír, J., Körschens, M., Poulton, P. R., and Richter, D. D.: Simulating trends in soil organic carbon in long-term experiments using RothC-26.3, Geoderma, 81, 29–44, 1997.
Corbeels, M., Hofman, G., and Van Cleemput, O.: Simulation of net N immobilisation and mineralisation in substrate-amended soils by the NCSOIL computer model, Biol. Fert. Soils, 28, 422–430, 1999.
De Neve, S., Sleutel, S., and Hofman, G.: Carbon mineralization from composts and food industry wastes added to soil, Nutr. Cycl. Agroecosys., 67, 13–20, 2003.
Do Nascimento, A. F., Mendonça, E. S., Leite, L. F. C., Scholberg J., and Neves, J. C. L.: Calibration and validation of models for short-term decomposition and N mineralization of plant residues in the tropics, Sci. Agric., 69, 393–401, 2012.
Falloon, P.: Large scale spatial modelling of soil organic carbon dynamics, PhD thesis, School of Life and Environmental Sciences, University of Nottingham, Nottingham, UK, 2001.
Falloon, P. and Smith, P.: Simulating SOC changes in long-term experiments with RothC and CENTURY: model evaluation for a regional scale application, Soil Use Manage., 18, 101–111, 2002.
Farina, R., Coleman, K., and Whitmore, A. P.: Modification of the RothC model for simulations of soil organic C dynamics in dryland regions, Geoderma, 200–201, 18–30, 2013.
Francaviglia, R., Coleman, K., Whitmore, A. P., Doro, L., Urracci, G., Rubino, M., and Ledda, L..: Changes in soil organic carbon and climate change – Application of the RothC model in agro-silvo-pastoral Mediterranean systems, Agr. Syst., 112, 48–54, 2012.
Franzluebbers, A. J.: Organic residues, decomposition, in: Encyclopedia of Soils in the Environment, edited by: Hillel, D., Hatfield, J. L., Powlson, D. S., Rosenzweig, C., Scow, K. M., Singer, M. J., and Sparks, D. L., Elsevier/Academic Press, Amsterdam, the Netherlands, 112–118, 2004.
Gabrielle, B., Da-Silveira, J., Houot, S., and Francou C.: Simulating urban waste compost effects on carbon and nitrogen dynamics using a biochemical index, J. Environ. Qual., 33, 2333–2342, 2004.
Gabrielle, B., Da-Silveira, J., Houot, S., and Michelin, J.: Field-scale modelling of carbon and nitrogen dynamics in soils amended with urbane waste compost, Agr. Ecosyst. Environ., 110, 289–299, 2005.
Gale, E. S., Sullivan, D. M., Cogger, C. G., Bary, A. I., Hemphill, D. D., and Myhre, E. A.: Estimating plant-available nitrogen release from manures, composts, and specialty products, J. Environ. Qual., 35, 2321–2332, 2006.
Garcia, C., Hernandez, T., and Costa, F.: Mineralization in a calcareous soil of a sewage sludge composted with different organic resources, Waste Manage. Res., 10, 445–452, 1992.
Garnier, P., Neel, C., Aita, C., Recous, S., Lafolie, F., and Mary, B.: Modelling carbon and nitrogen dynamics in a bare soil with and without straw incorporation, Eur. J. Soil Sci., 54, 555–568, 2003.
Gerke, H. H., Arnin, M., and Stoppler-Zimmer, H.: Modeling long-term compost application effects on nitrate leaching, Plant Soil, 213, 75–92, 1999.
Henriksen, T. M. and Breland, T. A.: Nitrogen availability effects on carbon mineralization, fungal and bacterial growth, and enzyme activities during decomposition of wheat straw in soil, Soil Biol. Biochem., 31, 1121–1134, 1999.
Henriksen, T. M., Korsaeth, A., Breland, T. A., Stenberg, B., Jensen, L. S., Bruun, S., Gudmundsson, J., Palmason, F., Pedersen, A., and Salo, T. J.: Stepwise chemical digestion, near-infrared spectroscopy or total N measurement to take account of decomposability of plant C and N in a mechanistic model, Soil Biol. Biochem., 39, 3115–3126, 2007.
Houot, S., Lhoutellier, C., Peltre, C., Doublet, J., Biquillon, R., Pereira, A., and Angenis-Nevers, M.: Carbo-Pro: a simulation model to manage soil organic matter through compost applications, in: Proceedings of 8th International Conference Orbit 2012, 12–15 June 2012, Rennes, France, European Compost Network ECN, Bochum, Germany, 9 pp., 2012.
Incerti, G., Bonanomi, G., Giannino, F., Rutigliano, F.A., Piermatteo, D., Castaldi, S., De Marco, A., Fierro, A., Fioretto, A., Maggi, O., Papa, S., Persiani, A. M., Feoli, E., Virzo De Santo, A., and Mazzoleni, S.: Litter decomposition in Mediterranean ecosystems: Modelling the controlling role of climatic conditions and litter quality, Appl. Soil Ecol., 49, 148–157, 2011.
Jenkinson, D. S. and Rayner, J. H.: The turnover of soil organic matter in some of the Rothamsted classical experiments, Soil Sci., 123, 298–305, 1977.
Jenkinson, D. S., Adams, D. E., and Wild, A.: Model estimates of CO2 emissions from soil in response to global warming, Nature, 351, 304–306, 1991.
Kaboré, W. T., Pansu, M., Hien, E., Houot, S., Zombré, N. P., and Masse, D.: Usefulness of TAO model to predict and manage the transformation in soil of carbon and nitrogen forms from West-Africa urban solid wastes, Waste Manage., 31, 154–167, 2011.
Karhu, K., Gärdenäs, A. I., Heikkinene, J., Vanhala, P., Tuomi, M., and Liski, J.: Impacts of organic amendments on carbon stocks of an agricultural soil – Comparison of model-simulations to measurements, Geoderma, 189–190, 606–616, 2012.
Lal, R.: Soil carbon sequestration to mitigate climate change, Geoderma, 123, 1–22, 2004.
Lashermes, G., Nicolardot, B., Parnaudeau, V., Thuriès, L., Chaussod, R., Guillotin, M. L., Linères, M., Mary, B., Metzger, L., Morvan, T., Tricaud, A., Villette, C., and Houot, S.: Indicator of potential residual carbon in soils after exogenous organic matter application, Eur. J. Soil Sci., 60, 297–310, 2009.
Levi-Minzi, R., Riffaldi, R., and Saviozzi, A.: Carbon mineralization in soil amended with different organic materials, Agr. Ecosyst. Environ., 31, 325–335, 1990.
Marmo, L., Feix, I., Bourmeau, E., Amlinger, F., Bannick, C.G., De Neve, S., Favoino, E., Gendebien, A., Gibert, J., Givelet, M., Leifert, I., Morris, R., Rodriguez Cruz, A., Ruck, F., Siebert, S., and Tittarelli, F.: Taskgroup 4 Exogenous Organic Matter, Volume III – Organic Matter and Biodiversity, in: Reports of the technical working groups established under the thematic strategy for soil protection, edited by: Van-Camp, L., Bujarrabal, B., Gentile, A.-R., Jones, R. J. A., Montanarella, L., Olazabal, C., and Selvaradjou, S.-K., EUR 21319 EN/3, Office for Official Publications of the European Communities, Luxembourg, available at: http://ec.europa.eu/environment/archives/soil/pdf/vol3.pdf (last access: 25 November 2016), 2004.
Mazerolle, M. J.: Improving data analysis in herpetology: using Akaike's Information Criterion (AIC) to assess the strength of biological hypotheses, Amphibia-Reptilia, 27, 169–180, 2006.
McGill, W. B.: Review and classification of 10 soil organic matter (SOM) models, in: Evaluation of Soil Organic Matter Models Using Existing Long-Term Datasets, edited by: Powlson, D. S., Smith, P., and Smith, J. U., NATO ASI Series I, vol. 38, Springer-Verlag, Berlin, Germany, 111–132, 1996.
Mondini, C., Sinicco, T., Cayuela, M. L., and Sanchez-Monedero, M. A.: A simple automated system for measuring soil respiration by gas chromatography, Talanta, 81, 849–855, 2010.
Mueller, T., Jensen, L. S., Magid, J., and Nielsen, N. E.: Temporal variation of C and N turnover in soil after oilseed rape straw incorporation in the field: simulations with the soil-plant-atmosphere model DAISY, Ecol. Model., 99, 247–262, 1997.
Mueller, T., Magid, J., Jensen, L. S., Svendsen, H., and Nielsen, N. E.: Soil C and N turnover after incorporation of chopped maize, barley straw and blue grass in the field: Evaluation of the DAISY soil–organic-matter submodel, Ecol. Model., 111, 1–15, 1998.
Mueller, T., Magid, J., Jensen, L. S., and Nielsen, N. E.: Decomposition of plant residues of different quality in soil-DAISY model calibration and simulation based on experimental data, Ecol. Model., 166, 3–18, 2003.
Noirot-Cosson, P. E., Vaudour, E., Gilliot, J. M., Gabrielle, B., and Houot, S.: Modelling the long-term effect of urban waste compost applications on carbon and nitrogen dynamics in temperate cropland, Soil Biol. Biochem., 94, 138–153, 2016.
Pansu, M. and Thuries, L.: Kinetics of C and N mineralization, N immobilization and N volatilization of organic inputs in soil, Soil Biol. Biochem., 35, 37–48, 2003.
Parnaudeau, V.: Caractéristiques biochimiques de produits organiques résiduaires, prédiction et modélisation de leur minéralisation dans les sols, PhD thesis, INRA, Rennes, France, 2005 (in French).
Parshotam, A., Saggar, S., Tate, K., and Parfitt, R.: Modelling organic matter dynamics in New Zealand soils, Environ. Int., 27, 111–119, 2001.
Paustian, K., Parton, W. J., and Persson, J.: Modeling soil organic matter in organic-amended and nitrogen-fertilized long-term plots, Soil Sci. Soc. Am. J., 56, 476–488, 1992.
Pedra, F., Polo, A., Ribeiro, A., and Domingues, H.: Effect of municipal solid waste compost and sewage sludge on mineralization of soil organic matter, Soil Biol. Biochem., 39, 1375–1382, 2007.
Peltre, C., Thuriès, L., Barthès, B., Brunet, D., Morvan, T., Nicolardot, B., Parnaudeau, V., and Houot, S.: Near infrared reflectance spectroscopy: A tool to characterize the composition of different types of exogenous organic matter and their behaviour in soil, Soil Biol. Biochem., 43, 197–205, 2011.
Peltre, C., Christensen, B. T., Dragon, S., Icard, C., and Katterer, T.: RothC simulation of carbon accumulation in soil after repeated application of widely different organic amendments, Soil Biol. Biochem., 52, 49–60, 2012.
Peltre, C., Bruun, S., Houot, S., Magid, J., and Jensen, L. S.: Modelling environmental impacts of land application of organic waste products with the DAISY model, in: Book of Abstracts, 15th Ramiran Conference, 2–5 June 2013, Versailles, France, S2.49, 2013.
Petersen, B. M., Berntsen, J., Hansen, S., and Jensen, L. S.: CN-SIM – a model for the turnover of soil organic matter. I: Long-term carbon and radiocarbon development, Soil Biol. Biochem., 37, 359–374, 2005a.
Petersen, B. M., Jensen, L. S., Berntsen, B., Hansen, S., Pedersen, A., Henriksen, T. M., Sørensen, P., and Trinsoutrot-Gattin, I.: CN-SIM – a model for the turnover of soil organic matter. II: Short term carbon and nitrogen development, Soil Biol. Biochem., 37, 375–393, 2005b.
Plaza, C., Gollany, H. T., Baldoni, G., Polo, A., and Ciavatta, C.: Predicting long-term organic carbon dynamics in organically amended soils using the CQESTR model, J. Soils Sediments, 12, 486–49, 2012.
Robinson, J. A.: Determining microbial kinetic parameters using nonlinear regression analysis: advantages and limitation in microbial ecology, Adv. Microb. Ecol., 8, 61–114, 1985.
Saviozzi, A., Vanni, G., and Cardelli, R.: Carbon mineralization kinetics in soils under urban environment, Appl. Soil Ecol., 73, 64–69, 2014.
Scharnagl, B., Herbst, M., Huisman, J. A., and Vereecken, H.: Uncertainty in the ROTHC model for carbon turnover in soil resulting from model initialization, Geophys. Res. Abstr., 10, EGU2008-A-08466, European Geosciences Union, Vienna, Austria, 2008.
Schimel, J. P., Fahnestock, J., Michaelson, G., Mikan, C., Ping, C.-L., Romanovsky, V. E., and Welker, J.: Cold-season production of CO2 in arctic soils: can laboratory and field estimates be reconciled through a simple modeling approach?, Arct. Antarct. Alp. Res., 38, 249–256, 2006.
Sierra, C. A., Harmon, M. E., and Perakis, S. S.: Decomposition of heterogeneous organic matter and its long-term stabilization in soils, Ecol. Monogr., 81, 619–634, 2011.
Skjemstad, O., Spouncer, L. R., Cowie, B., and Swift, R. S.: Calibration of the Rothamsted organic carbon turnover model (RothC ver. 26.3), using measurable soil organic carbon pools, Aus. J. Soil Res., 42, 79–88, 2004.
Sleutel, S., De Neve, S., Prat Roibas, M. R., and Hofman, G.: The influence of model type and incubation time on the estimation of stable organic carbon in organic materials, Eur. J. Soil Sci., 56, 505–514, 2005.
Sleutel, S., De Neve, S., Beheydt, D., Li, C., and Hofman, G.: Regional simulation of long-term organic carbon stock changes in cropland soils using the DNDC model: 2. Scenario analysis of management options, Soil Use Manage., 22, 352–361, 2006.
Smith, J. and Smith, P.: Introduction to Environmental Modelling, Oxford University Press, Oxford, UK, 180 pp., 2007.
Smith, J., Smith, P., and Addiscott, M.: Quantitative methods to evaluate and compare soil organic matter (SOM) models, in: Evaluation of Soil Organic Matter Models, edited by: Powlson, D., Smith, P., and Smith, J. U., NATO ASI Series I, vol. 38, Springer-Verlag, Berlin, Germany, 181–200, 1996.
Smith, P.: Carbon sequestration in croplands: the potential in Europe and the global context, Eur. J. Agron., 20, 229–236, 2004a.
Smith, P.: Monitoring and verification of soil carbon changes under article 3.4 of the Kyoto Protocol, Soil Use Manage., 20, 264–270, 2004b.
Smith, P., Smith, J., Powlson, D., McGill, W., Arah, J., Chertov, O., Coleman, K., Franko, U., Frolking, S., and Jenkinson, D.: A comparison of the performance of nine soil organic matter models using datasets from seven long-term experiments, Geoderma, 81, 153–225, 1997.
Snipes, M. and Taylor, D. C.: Model selection and Akaike Information Criteria: an example from wine ratings and prices, Wine Economics and Policy, 3, 3–9, 2014.
Stöppler-Zimmer, H., Gerke, H. H., and Arning, M.: Model-based investigations into long-term compost application effects on nitrate leaching at different agricultural sites, in: Proceedings of the International Conference ORBIT 99, part II, edited by: Bidlingmaier, W., de Bertoldi, M., Diaz, L. F., and Papadimitriou, E. K., 2–4 September 1999, Weimar, Germany, Rhombos-Verlag, Berlin, Germany, 453–461, 1999.
Symonds, M. R. E. and Moussalli, A.: A brief guide to model selection, multimodel inference and model averaging in behavioural ecology using Akaike's information criterion, Behav. Ecol. Sociobiol., 65, 13–21, 2011.
Thuries, L., Pansu, M., Feller, C., Herrmann, P., and Remy, J.-C.: Kinetics of added organic matter decomposition in a Mediterranean sandy soil, Soil Biol. Biochem., 33, 997–1010, 2001.
Tits, M., Hermans, H., Elsen, A., and Vandendriessche, H.: The C-simulator as a tool to investigate the potential of household waste compost to increase soil organic matter in Flanders, Geophys. Res. Abstr., Vol. 12, EGU 2010-9779, European Geosciences Union, Vienna, Austria, 2010.
Tits, M., Elsen, A., Bries, J., and Vandendriessche, H.: Short-term and long-term effects of vegetable, fruit and garden waste compost applications in an arable crop rotation in Flanders, Plant Soil, 376, 43–59, 2014.
Trinsoutrot, I., Recous, S., Bentz, B., Lineres, M., Cheneby, D., and Nicolardot, B.: Biochemical quality of crop residues and carbon and nitrogen mineralization kinetics under nonlimiting nitrogen conditions, Soil Sci. Soc. Am. J., 64, 918–926, 2000.
Vidal-Beaudet, L., Grosbellet, C., Forget-Caubel, V., and Charpentier, S.: Modelling long-term carbon dynamics in soils reconstituted with large quantities of organic matter, Eur. J. Soil Sci., 63, 787–797, 2012.
Yokozawa, M., Shirato, Y., Sakamoto, T., Yonemura, S., Nakai, M., and Ohkura, T.: Use of the RothC model to estimate the carbon sequestration potential of organic matter application in Japanese arable soils, Soil Sci. Plant Nutr., 56, 168–176, 2010.
Short summary
Current soil C models do not adequately describe the quality of the amendments added to fields. In this study, we propose a modification of the soil C model "RothC" that was found to be effective in simulating the response of laboratory-incubated soils treated with contrasting amendments. We think that these findings could help to develop better soil C models and improve predictions of the effects of different amendments on soil organic matter dynamics on agricultural and managed land.
Current soil C models do not adequately describe the quality of the amendments added to fields....
Altmetrics
Final-revised paper
Preprint