Combining field measurements and process‐based modelling to analyse soil tillage and crop residues management impacts on crop production and carbon balance in temperate areas

Soil Use and Management, Год журнала: 2024, Номер 40(3)

Опубликована: Июль 1, 2024

Abstract Crop residues management is an important issue in the context of climate change. They might be kept on field and restituted to soil enhance its fertility or exported for other uses such as production energy through biomethanization. Furthermore, choices regarding tillage operations impact potential incorporate residues, which turn affects physical (e.g. structure, water retention), biological organic matter, microorganisms) chemical nutrient release mineralization) fertility. We combined measurements from a 14‐year experiment Hesbaye loamy region Belgium simulation with STICS soil‐crop model investigate impacts crop production, characteristics carbon balance. Four treatments were compared, where all combinations incorporation versus exportation conventional reduced tested. The comparison observations simulations proved that adequate explore contrasted management. analysis data outputs showed was positively influenced by but unresponsive fate. Reduced led clear stratification observed SOC content topsoil (0–30 cm), also increase simulated stocks (0–26 cm). This gain greater retention under tillage. Moreover, both treatments, incorporating increased despite associated augmentation heterotrophic respiration. Finally, importance environmental conditions balance suggests modelling very useful specific agro‐pedoclimatic contexts, especially when facing

Язык: Английский

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Partitioning soil organic carbon into its centennially stable and active fractions with machine-learning models based on Rock-Eval® thermal analysis (PARTY<sub>SOC</sub>v2.0 and PARTY<sub>SOC</sub>v2.0<sub>EU</sub>)

Geoscientific model development, Год журнала: 2021, Номер 14(6), С. 3879 - 3898

Опубликована: Июнь 24, 2021

Abstract. Partitioning soil organic carbon (SOC) into two kinetically different fractions that are stable or active on a century scale is key for an improved monitoring of health and more accurate models the cycle. However, all existing SOC fractionation methods isolate mixtures centennially SOC. If fraction cannot be isolated, it has specific chemical thermal characteristics quickly (ca. 1 h per sample) measurable using Rock-Eval® analysis. An alternative would thus to (1) train machine-learning model analysis data samples from long-term experiments which size can estimated (2) apply this unknown soils partition its fractions. Here, we significantly extend validity range previously published (Cécillon et al., 2018) built upon strategy. The second version model, propose name PARTYSOC, uses six European agricultural sites including bare fallow treatment one South American vegetation change (C4 C3 plants) site as reference sites. (PARTYSOCv2.0EU) predicts proportion with root mean square error 0.15 (relative 0.27) at independent validation More specifically, our results show PARTYSOCv2.0EU reliably partitions kinetic northwestern Cambisols Luvisols, dominant groups in region. We plan future developments PARTYSOC global additional developed under diverse pedoclimates ecosystems further expand domain application while reducing prediction error.

Язык: Английский

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

Soil Use and Management, Год журнала: 2021, Номер 38(1), С. 411 - 425

Опубликована: Июль 21, 2021

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

Язык: Английский

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Assessment of ecosystem services and natural capital dynamics in agroecosystems

Ecosystem Services, Год журнала: 2022, Номер 54, С. 101415 - 101415

Опубликована: Фев. 12, 2022

Язык: Английский

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Does anaerobic digestion really help to reduce greenhouse gas emissions? A nuanced case study based on 30 cogeneration plants in France

Journal of Cleaner Production, Год журнала: 2022, Номер 384, С. 135578 - 135578

Опубликована: Дек. 12, 2022

Язык: Английский

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