Résumé
Croplands are important not only for food and fibre, but also for their global climate change mitigation and carbon (C) sequestration potentials. Measurements and modelling of daily C fluxes and annual C balance, which are needed for optimizing such global potentials in croplands, are difficult since many measurements, and the correct simulation of different ecosystem processes are needed. In the present study, a biogeochemical ecosystem model (DailyDayCent) was applied to simulate daily to seasonal C fluxes, as well as annual net ecosystem carbon balance (NECB), in a cereal grain-cropland. The model was tested using eddy-flux data and other associated C flux measurements lasting for three years over a full cereal crop-rotation (corn-wheat-barley) from a long-term experiment (SOERE–ACBB; http://www.soere-acbb.com) in France. DailyDayCent simulated seasonal crop growth, regrowth of volunteers and cumulative net primary production (NPP) at harvest successfully. Fairly consistent agreement was obtained between measured and modelled daily NPP over the full crop rotation, with model efficiency (EF) of 0.59. The model underestimated heterotrophic respiration (Rh) on daily, seasonal and annual time scales by 43–53%. Although a reasonable model fit was found for daily NEE over the entire experimental period (EF ∼ 0.47), the model overestimated cumulative annual net C uptake (NEE) by 28 times. DailyDayCent simulated net C harvest efficiently, and the leaching loss of C reasonably well. Both the modelled and measured mean annual NECB indicate that present cereal grain-cropland is a net C source and the cropland is losing C at a mean annual rate of 64.0 (modelled) to 349.4 g C m−2 yr−1 (measured), thus the model overestimated mean annual NECB (or underestimated mean annual net C loss) in the present cropland by 82%. We conclude that overestimation of cumulative NEE on seasonal and annual time scales is the most likely reason for overestimation of NECB, and underestimation of Rh was the main driver for overestimation of cumulative seasonal and annual NEE. The model would benefit from further testing, particularly against direct measurements of Rh, and subsequent calibration, parameter estimation and model development for improving its ability to simulate Rh on daily to seasonal and annul time scales, cumulative seasonal and annual NEE, and net C balance, especially in cereal grain-croplands in the study region.
Auteurs, date et publication :
Auteurs Nimai Senapati , Abad Chabbi , Pete Smith
Publication : Agriculture, Ecosystems & Environment
Date : 2025
Volume : 252
Pages : 159-177
Catégorie(s)
#ACBB #ACBB Lusignan #ANR-Citation #INRAERésumé
A Monte Carlo-based calibration and uncertainty assessment was performed for heat, water and carbon (C) fluxes, simulated by a soil-plant-atmosphere system model (CoupModel), in mown grassland. Impact of different multi-objective and multi-criteria constraints was investigated on model performance and parameter behaviour. Good agreements between hourly modelled and measurement data were obtained for latent and sensible heat fluxes (R2 ¼ 0.61, ME ¼ 0.48 MJ mÀ2 dayÀ1), soil water contents (R2 ¼ 0.68, ME ¼ 0.34%) and carbon-dioxide flux (R2 ¼ 0.60, ME ¼ À0.18 g C mÀ2 dayÀ1). Multi-objective and multicriteria constraints were efficient in parameter conditioning, reducing simulation uncertainty and identifying critical parameters. Enforcing multi-constraints separately on heat, water and C processes resulted in the highest model improvement for that specific process, including some improvement too for other processes. Imposing multi-constraints on all groups of variables, associated with heat, water and C fluxes together, resulted in general effective parameters conditioning and model improvement.
Auteurs, date et publication :
Auteurs Nimai Senapati , Per-Erik Jansson , Pete Smith , Abad Chabbi
Publication : Environmental Modelling & Software
Date : 2025
Volume : 80
Pages : 201-224
Catégorie(s)
#ACBB #ACBB Lusignan #ANR-Citation #INRAEAuteurs, date et publication :
Auteurs Nimai Senapati , Abad Chabbi , André Faé Giostri , Jagadeesh B. Yeluripati , Pete Smith
Publication : Science of The Total Environment
Date : 2025
Volume : 572
Pages : 955-977
Catégorie(s)
#ACBB #ACBB Lusignan #ANR-Citation #INRAERésumé
Two independently developed simulation models – the grassland-specific PaSim and the biome-generic Biome-BGC MuSo (BBGC MuSo) – linking climate, soil, vegetation and management to ecosystem biogeochemical cycles were compared in a simulation of carbon (C) and water fluxes. The results were assessed against eddy-covariance flux data from five observational grassland sites representing a range of conditions in Europe: Grillenburg in Germany, Laqueuille in France with both extensive and intensive management, Monte Bondone in Italy and Oensingen in Switzerland. Model comparison (after calibration) gave substantial agreement, the performances being marginal to acceptable for weekly-aggregated gross primary production and ecosystem respiration (R2∼0.66−0.91), weekly evapotranspiration (R2∼0.78−0.94), soil water content in the topsoil (R2∼0.1−0.7) and soil temperature (R2∼0.88−0.96). The bias was limited to the range −13 to 9gCm−2week−1 for C fluxes (−11 to 8gCm−2week−1 in case of BBGC MuSo, and −13 to 9gCm−2week−1 in case of PaSim) and −4 to 6mmweek−1 for water fluxes (with BBGC MuSo providing somewhat higher estimates than PaSim), but some higher relative root mean square errors indicate low accuracy for prediction, especially for net ecosystem exchange The sensitivity of simulated outputs to changes in atmospheric carbon dioxide concentration ([CO2]), temperature and precipitation indicate, with certain agreement between the two models, that C outcomes are dominated by [CO2] and temperature gradients, and are less due to precipitation. ET rates decrease with increasing [CO2] in PaSim (consistent with experimental knowledge), while lack of appropriate stomatal response could be a limit in BBGC MuSo responsiveness. Results of the study indicate that some of the errors might be related to the improper representation of soil water content and soil temperature. Improvement is needed in the model representations of soil processes (especially soil water balance) that strongly influence the biogeochemical cycles of managed and unmanaged grasslands.
Auteurs, date et publication :
Auteurs R. Sándor , Z. Barcza , D. Hidy , E. Lellei-Kovács , S. Ma , G. Bellocchi
Publication : Agriculture, Ecosystems & Environment
Date : 2016
Volume : 215
Pages : 1-19
Catégorie(s)
#ACBB #ACBB Theix #INRAEAuteurs, date et publication :
Auteurs V. Filipovic , P. Cambier , L. Filipovic , Y. Coquet , V. Pot , G. Bodineau , A. Jaulin , V. Mercier , S. Houot , P. Benoit
Publication : Vadose Zone Journal
Date : 2025
Volume : 15
Issue : 12
Pages : 15 p.
Catégorie(s)
#INRAE #PRO #PRO QualiAgroAuteurs, date et publication :
Auteurs Marcio dos Reis Martins , Magdalena Necpalova , Christof Ammann , Nina Buchmann , Pierluigi Calanca , Christophe R. Flechard , Melannie D. Hartman , Maike Krauss , Philippe Le Roy , Paul Mäder , Regine Maier , Thierry Morvan , Bernard Nicolardot , Colin Skinner , Johan Six , Sonja G. Keel
Publication : European Journal of Agronomy
Date : 2025
Volume : 141
Pages : 126613
Catégorie(s)
#ANR-Citation #INRAE #PRO #PRO EFELEAuteurs, date et publication :
Auteurs H. Vereecken , A. Schnepf , J. W. Hopmans , M. Javaux , D. Or , T. Roose , J. Vanderborght , M. H. Young , W. Amelung , M. Aitkenhead , S. D. Allison , S. Assouline , P. Baveye , M. Berli , N. Brüggemann , P. Finke , M. Flury , T. Gaiser , G. Govers , T. Ghezzehei
Publication : Vadose Zone Journal
Date : 2016
Volume : 15
Issue : 5
Catégorie(s)
#INRAE #VirtualSoilAuteurs, date et publication :
Auteurs V. Filipovic , Y. Coquet , V. Pot , S. Houot , P. Benoit
Publication : Science of The Total Environment
Date : 2025
Volume : 499
Pages : 546-559
Catégorie(s)
#INRAE #PRO #PRO QualiAgroRésumé
Soil mixing and the downward movement of solid matter in soils are dynamic pedological processes that strongly affect the vertical distribution of all soil properties across the soil profile. These processes are affected by land use and the implementation of various farming practices, but their kinetics have rarely been quantified. Our objective was to investigate the vertical transfer of matter in Luvisols at long-term experimental sites under different land uses (cropland, grassland and forest) and different farming practices (conventional tillage, reduced tillage and no tillage). To investigate these processes, the vertical radionuclide distributions of 137Cs and 210Pb (xs) were analyzed in 9 soil profiles. The mass balance calculations showed that as much as 91±9% of the 137Cs was linked to the fine particles (≤2μm). To assess the kinetics of radionuclide redistribution in soil, we modeled their depth profiles using a convection–diffusion equation. The diffusion coefficient represented the rate of bioturbation, and the convection velocity provided a proxy for fine particle leaching. Both parameters were modeled as either constant or variable with depth. The tillage was simulated using an empirical formula that considered the tillage depth and a variable mixing ratio depending on the type of tillage used. A loss of isotopes due to soil erosion was introduced into the model to account for the total radionuclide inventory. All of these parameters were optimized based on the 137Cs data and were then subsequently applied to the 210Pb (xs) data. Our results show that the 137Cs isotopes migrate deeper under grasslands than under forests or croplands. Additionally, our results suggest that the diffusion coefficient decreased with depth and that it remained negligible below the tillage depth at the cropland sites, below 20cm in the forest sites, and below 80cm in the grassland sites.
Auteurs, date et publication :
Auteurs M. Jagercikova , O. Evrard , J. Balesdent , I. Lefèvre , S. Cornu
Publication : Soil and Tillage Research
Date : 2014
Volume : 140
Pages : 82-97
Catégorie(s)
#ACBB #ACBB Mons #INRAE #PROAuteurs, date et publication :
Auteurs V. Filipović , Y. Coquet , V. Pot , S. Houot , P. Benoit
Publication : Geoderma
Date : 2025
Volume : 268
Pages : 29-40