The simple AMG model accurately simulates organic carbon storage in soils after repeated application of exogenous organic matter

Levavasseur, Florent; Mary, Bruno; Christensen, Bent T.; Duparque, Annie; Ferchaud, Fabien; Kätterer, Thomas; Lagrange, Hélène; Montenach, Denis; Resseguier, Camille; Houot, Sabine

doi:10.1007/s10705-020-10065-x

Cited by 47 publications

(54 citation statements)

References 48 publications

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“…The small effect of temporal extension was related to the high initial proportion of grassland in rotations (50%), which already increased C storage (Franzluebbers et al, 2014). Improved recycling had a strong potential to store C in the topsoil (233 kg C ha −1 year −1 ), as shown in the literature (Levavasseur et al, 2020; Maillard & Angers, 2014; Peltre et al, 2012).…”

Section: Discussionmentioning

confidence: 73%

“…They studied 10 STICS predictions of biomass, yield, water balance and N balance, and classified eight of them as satisfactory, good or very good. The AMG model, on which C dynamics in STICS is based, has been evaluated positively for several cropping systems in 16 long‐term (14–168 years) field experiments with mineral (9) or organic (7) fertilization (Levavasseur et al, 2020; Saffih‐Hdadi & Mary, 2008). It estimated SOC changes accurately, with a mean rRMSE of only 3.9% (Saffih‐Hdadi & Mary., 2008).…”

Section: Methodsmentioning

confidence: 99%

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Estimating the carbon storage potential and greenhouse gas emissions of French arable cropland using high‐resolution modeling

Launay

Constantin

Chlébowski

et al. 2021

Global Change Biology

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Many studies have assessed the potential of agricultural practices to sequester carbon (C). A comprehensive evaluation of impacts of agricultural practices requires not only considering C storage but also direct and indirect emissions of greenhouse gases (GHG) and their side effects (e.g., on the water cycle or agricultural production). We used a high‐resolution modeling approach with the Simulateur mulTIdisciplinaire pour les Cultures Standard soil‐crop model to quantify soil organic C (SOC) storage potential, GHG balance, biomass production and nitrogen‐ and water‐related impacts for all arable land in France for current cropping systems (baseline scenario) and three mitigation scenarios: (i) spatial and temporal expansion of cover crops, (ii) spatial insertion and temporal extension of temporary grasslands (two sub‐scenarios) and (iii) improved recycling of organic resources as fertilizer. In the baseline scenario, SOC decreased slightly over 30 years in crop‐only rotations but increased significantly in crop/temporary grassland rotations. Results highlighted a strong trade‐off between the storage rate per unit area (kg C ha−1 year−1) of mitigation scenarios and the areas to which they could be applied. As a result, while the most promising scenario at the field scale was the insertion of temporary grassland (+466 kg C ha−1 year−1 stored to a depth of 0.3 m compared to the baseline, on 0.68 Mha), at the national scale, it was by far the expansion of cover crops (+131 kg C ha−1 year−1, on 17.62 Mha). Side effects on crop production, water irrigation and nitrogen emissions varied greatly depending on the scenario and production situation. At the national scale, combining the three mitigation scenarios could mitigate GHG emissions of current cropping systems by 54% (−11.2 from the current 20.5 Mt CO2e year−1), but the remaining emissions would still lie far from the objective of C‐neutral agriculture.

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Section: Discussionmentioning

confidence: 73%

Section: Methodsmentioning

confidence: 99%

Estimating the carbon storage potential and greenhouse gas emissions of French arable cropland using high‐resolution modeling

Launay

Constantin

Chlébowski

et al. 2021

Global Change Biology

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“…The hierarchy of amendment and fertilizing values between the EOM subgroups is in line with existing literature (Lazicki et al, 2020;Mondini et al, 2017;Noirot-Cosson et al, 2017), even though the comparison of so many EOM subgroups is rare. The hierarchy of mineralized C and N after an incubation duration equivalent to one year in the field between the EOM subgroups also reflected their contribution to the SOC (inverse relationship) observed in the field by various authors (Gerzabek et al, 1997;Levavasseur et al, 2020) and to N short-term supply (Gutser et al, 2005).…”

Section: Variability In Eom C and N Mineralizationmentioning

confidence: 69%

“…Moreover, several authors have suggested that SOM stability after EOM application is not modified (Liu et al, 2018;Luan et al, 2019), even though another study suggested the opposite (Peltre et al, 2017). Levavasseur et al, (2020) successfully simulated carbon storage in long-term field experiments with EOM application using the AMG model without assuming a greater stability of EOM in comparison with that of SOM. Because the STICS and AMG formalisms for SOC are very similar (i.e.…”

Section: Model Hypothesesmentioning

confidence: 99%

Quantifying and simulating carbon and nitrogen mineralization from diverse exogenous organic matters

Levavasseur

Lashermes

Mary

et al. 2021

Soil Use and Management

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The potential contributions of exogenous organic matters (EOMs) to soil organic C and mineral N supply depend on their C and N mineralization, which can be assessed in laboratory incubations. Such incubations are essential to calibrate decomposition models, because not all EOMs can be tested in the field. However, EOM incubations are resource-intensive. Therefore, easily measurable EOM characteristics that can be useful to predict EOM behaviour are needed. We quantified C and N mineralization during the incubation of 663 EOMs from five groups (animal manures, composts, sewage sludges, digestates and others). This represents one of the largest and diversified set of EOM incubations. The C and N mineralization varied widely between and within EOM subgroups. We simulated C and N mineralization with a simple generic decomposition model. Three calibration methods were compared. Individual EOM calibration of the model yielded good model performances, while the use of a unique parameter set per EOM subgroup decreased the model performance, and the use of two EOM characteristics to estimate model parameters gave an intermediate model performance (average RMSE-C values of 32, 99 and 65 mg C g −1 added C and average RMSE-N values of 50, 126 and 110 mg N g −1 added N, respectively). Because of the EOM variability, individual EOM calibration based on incubation remains the recommended method for predicting most accurately the C and N mineralization of EOMs.However, the two alternative calibration methods are sufficient for the simulation of EOMs without incubation data to obtain reasonable model performances.

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“…If farmers source additional EOMs elsewhere, only those EOMs that otherwise would be mineralized (e.g., burned) and not applied to land account as sequestration. Second, farmers may be prevented from applying high amounts of EOM because of the risk of nitrate and phosphate pollution (Li et al, 2017;Piovesan et al, 2009). Moreover, producing additional animal manure implies larger GHG emissions through animal digestion and manure decomposition.…”

Section: Modeled Carbon Inputs To Reach the 4p1000mentioning

confidence: 99%

Additional carbon inputs to reach a 4 per 1000 objective in Europe: feasibility and projected impacts of climate change based on Century simulations of long-term arable experiments

et al. 2021

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Abstract. The 4 per 1000 initiative aims to maintain and increase soil organic carbon (SOC) stocks for soil fertility, food security, and climate change adaptation and mitigation. One way to enhance SOC stocks is to increase carbon (C) inputs to the soil. In this study, we assessed the amount of organic C inputs that are necessary to reach a target of SOC stocks increase by 4 ‰ yr−1 on average, for 30 years, at 14 long-term agricultural sites in Europe. We used the Century model to simulate SOC stocks and assessed the required level of additional C inputs to reach the 4 per 1000 target at these sites. Then, we analyzed how this would change under future scenarios of temperature increase. Initial stocks were simulated assuming steady state. We compared modeled C inputs to different treatments of additional C used on the experimental sites (exogenous organic matter addition and one treatment with different crop rotations). The model was calibrated to fit the control plots, i.e. conventional management without additional C inputs from exogenous organic matter or changes in crop rotations, and was able to reproduce the SOC stock dynamics. We found that, on average among the selected experimental sites, annual C inputs will have to increase by 43.15 ± 5.05 %, which is 0.66 ± 0.23 MgCha-1yr-1 (mean ± standard error), with respect to the initial C inputs in the control treatment. The simulated amount of C input required to reach the 4 ‰ SOC increase was lower than or similar to the amount of C input actually used in the majority of the additional C input treatments of the long-term experiments. However, Century might be overestimating the effect of additional C inputs on SOC stocks. At the experimental sites, we found that treatments with additional C inputs were increasing by 0.25 % on average. This means that the C inputs required to reach the 4 per 1000 target might actually be much higher. Furthermore, we estimated that annual C inputs will have to increase even more due to climate warming, that is 54 % more and 120 % more for a 1 and 5 ∘C warming, respectively. We showed that modeled C inputs required to reach the target depended linearly on the initial SOC stocks, raising concern on the feasibility of the 4 per 1000 objective in soils with a higher potential contribution to C sequestration, that is soils with high SOC stocks. Our work highlights the challenge of increasing SOC stocks at a large scale and in a future with a warmer climate.

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The simple AMG model accurately simulates organic carbon storage in soils after repeated application of exogenous organic matter

Cited by 47 publications

References 48 publications

Estimating the carbon storage potential and greenhouse gas emissions of French arable cropland using high‐resolution modeling

Estimating the carbon storage potential and greenhouse gas emissions of French arable cropland using high‐resolution modeling

Quantifying and simulating carbon and nitrogen mineralization from diverse exogenous organic matters

Additional carbon inputs to reach a 4 per 1000 objective in Europe: feasibility and projected impacts of climate change based on Century simulations of long-term arable experiments

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