Autotrophic respiration; Carbon balance; Crop model; Gross primary productivity; Heterotrophic respiration; Net ecosystem exchange; Forestry; Global and Planetary Change; Agronomy and Crop Science; Atmospheric Science
Abstract :
[en] Carbon emissions in agriculture play a major role in climate change. Modelling studies enable to investigate the impacts of climate change in crops, accounting for soil organic carbon feedbacks and CO2 concentrations. But it is primordial that crop models properly consider the CO2 exchanges at the level of crop rotations beyond the cycle of a single crop. With this goal in mind, we used the outputs of the soil-crop model STICS in its standard pre-parameterized version to model (i) the Gross Primary Productivity (GPP), derived from the autotrophic respiration and the Net Primary Productivity, which is computed through the daily change in plant carbon (C) pools; (ii) the Ecosystem Respiration (RECO), with the autotrophic component being derived from the plant biomass, plant nitrogen concentration and GPP, and the heterotrophic component from the mineralization of residues and organic matter; and (iii) the Net Ecosystem Exchange, equal to the sum of GPP and RECO. The comparison of simulations with field observations indicates that the model is able to simulate accurately daily CO2 fluxes originating from a long-term and diversified crop rotation (efficiency EF equal to 0.79 for GPP, 0.59 for RECO and 0.67 for NEE). Concerning the evaluation of the cumulated fluxes over the 16-year rotation, the model is able to evaluate it accurately for RECO, with a slight underestimation (normalized deviation ND = 15.7%), and very accurately for GPP (ND = 5.12%). But for NEE, the relative overestimation is higher (ND = 62.2%), indicating that a more precise estimation of HR is required to obtain reliable net C budgets. The model also succeeds to capture the trends in the influence of several environmental drivers on CO2 fluxes. It globally proves to be a valuable tool in the investigation of CO2 exchanges of crop rotations in historical and future climatic conditions.
Disciplines :
Agriculture & agronomy Computer science
Author, co-author :
Delandmeter, Mathieu ; Université de Liège - ULiège > TERRA Research Centre > Plant Sciences
Léonard, Joël ; BioEcoAgro Joint Research Unit, INRAE, Université de Liège, Université de Lille, Université de Picardie Jules Verne, France
Ferchaud, Fabien; BioEcoAgro Joint Research Unit, INRAE, Université de Liège, Université de Lille, Université de Picardie Jules Verne, France ; UMR Eco&Sols, Univ Montpellier, CIRAD, INRAE, IRD, InstitutAgro Montpellier, Montpellier, France
Heinesch, Bernard ; Université de Liège - ULiège > Département GxABT > Biosystems Dynamics and Exchanges (BIODYNE)
Manise, Tanguy ; Université de Liège - ULiège > Département GxABT > Plant Sciences
Faurès, Ariane ; Université de Liège - ULiège > Département GxABT > Biosystems Dynamics and Exchanges (BIODYNE)
Bindelle, Jérôme ; Université de Liège - ULiège > TERRA Research Centre > Animal Sciences (AS)
Dumont, Benjamin ; Université de Liège - ULiège > TERRA Research Centre > Plant Sciences
Language :
English
Title :
A comprehensive analysis of CO2 exchanges in agro-ecosystems based on a generic soil-crop model-derived methodology
This study was funded by the F.R.S-FNRS (Belgian Fund for Scientific Research ; Research Fellow grant (number 44221 ) awarded to M. Delandmeter). The authors thank the farmer, Philippe Van Eyck, for everyday field management, and the Lonzée ICOS station team for site maintenance, data acquisition, treatment and delivery. We also thank the reviewers that made insightful comments which improved the contents of this manuscript.
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