Multicriteria evaluation of the stics soil-crop model and implementation of an automated evaluation system, iCROPM International Crop Modelling Symposium, vol.441, 2016. ,
URL : https://hal.archives-ouvertes.fr/hal-01607915
A simplex method for function minimization, The Computer Journal, vol.7, pp.308-313, 1965. ,
Markov chain Monte Carlo simulation using the DREAM software package: Theory, concepts, and MATLAB implementation, Environ. Model. Softw, vol.75, pp.273-316, 2016. ,
Création de IDE-STICS (base de données intercontinentale pour l'évaluation de STICS), Xe séminaire des utilisateurs et concepteurs du modèle Stics, p.102, 2015. ,
Chapter 8 -Quantifying Crop Responses to Nitrogen and Avenues to Improve Nitrogen-Use Efficiency, Crop Physiology, pp.161-206, 2015. ,
Source-to-Sink Transport of Sugar and Regulation by Environmental Factors'. Frontiers in Plant Science 4, 2013. ,
URL : https://hal.archives-ouvertes.fr/hal-00870386
, Evaluation des formalismes du rendement des plantes déterminées. Cas du blé tendre et du blé dur. Séminaire STICS, 2010.
Methodology for Choosing a Model for Wheat Kernel Growth, Agronomie, vol.19, issue.5, pp.405-422, 1999. ,
URL : https://hal.archives-ouvertes.fr/hal-00885940
Adaptation of the crop model STICS to intercropping. Theoretical basis and parameterisation, Agronomie, vol.24, issue.6-7, pp.409-421, 2004. ,
URL : https://hal.archives-ouvertes.fr/hal-01190910
SticsRpacks: a set of packages for managing Stics from R, STICS model workshop -side-event of ICROPM, 2020. ,
Adaptation of the STICS intercrop model to simulate crop growth and N accumulation in pea-barley intercrops, Field Crops Research, vol.113, issue.1, pp.72-81, 2009. ,
URL : https://hal.archives-ouvertes.fr/hal-02665845
Exploring options for managing strategies for pea-barley intercropping using a modeling approach, European Journal of Agronomy, vol.31, issue.2, pp.85-98, 2009. ,
URL : https://hal.archives-ouvertes.fr/hal-02665735
Calibration and Evaluation of the STICS Intercrop Model for Two Cereal-Legume Mixtures, ICROPM, pp.3-5, 2020. ,
VEZY/sticRs: Parameter optimization (Version 1.1.0), 2019. ,
The yield gap of major food crops in family agriculture in the tropics: Assessment and analysis through field surveys and modelling, Field Crops Res, vol.143, pp.106-118, 2013. ,
The organic status of sandy soil in the Center-North area of Senegal, Agricultural sciences, p.224, 1993. ,
Improvement of the forage supply by the dual-use cereal-legume crop association in the northern Sudanian zone of Burkina Faso, International Journal of Biological and Chimical Sciences, vol.9, pp.1431-1439, 2015. ,
Potential Uses and Limitations of Crop Models, Agronomy Journal, vol.88, pp.704-716, 1996. ,
Crop Yield Gaps: Their Importance, Magnitudes, and Causes, Annual Review of Environment and Resources, vol.34, issue.1, pp.179-204, 2009. ,
2016 -Climate-smart soils, Nature, vol.532, pp.49-57 ,
-An overview of the crop model STICS, Europ. J. Agronomy, vol.18, pp.309-332, 2003. ,
2013 -Facilitating feedbacks between field measure-ments and ecosystem models, Ecol. Monogr, vol.83, pp.133-154 ,
BETYdb: a yield, trait, and ecosystem service database applied to second-generation bioenergy feedstock production, GCB Bioenergy, vol.10, pp.61-71, 2018. ,
2016 -Process-based simulation of growth and overwintering of grassland using the BASGRA model, Ecological Modelling, vol.335, pp.1-15 ,
, Int. J. Appl. Earth. Obs. Geoinf, vol.41, pp.11-22, 2015.
, Rem. Sens. Environ, vol.90, issue.3, pp.337-352, 2004.
, Rem. Sens. Environ, vol.83, pp.195-213, 2002.
, Rem. Sens. Environ, vol.123, pp.347-358, 2012.
, Environmental Modelling and Software, vol.26, pp.386-394, 2011.
, Water Resources Research, vol.44, pp.1-15, 2008.
FACE-IT: A science gateway for food security research, Concurrency and Computation: Practice and Experience, vol.27, issue.16, pp.4423-4436, 2015. ,
The agricultural model intercomparison and improvement project (AgMIP): protocols and pilot studies, Agricultural and Forest Meteorology, vol.170, pp.166-182, 2013. ,
URL : https://hal.archives-ouvertes.fr/hal-02651448
AgGlob : Calcul et workflow pour la simulation informatique de modèles agronomiques à l'échelle de la France Journées JCAD (Calcul et données), vol.9, p.10, 2011. ,
, SIWAA: Simulation Worflows Agroecosystems Analyses, 2019.
, GEOC: Galaxy Extra-omique Community, 2019.
2019-2020) OPERATE: Simulations de stratégies d'adaptation des cultures de blé en contexte de CC ,
2010 -Modelling soil compaction impacts on N2O emissions in arable fields, European Journal of Soil Science, vol.61, issue.3, pp.348-363 ,
2019 -Gradient of decomposition in sugarcane mulches of various thicknesses, Soil Tillage Res, vol.192, pp.66-75 ,
2001 -Simulation of C and N mineralization during crop residue decomposition: a simple dynamic model based on the C:N ratio of the residues, Plant and Soil, vol.228, issue.1, pp.83-103 ,
2019 -N2O emission increases with mulch mass in a fertilized sugarcane cropping system, Biol. Fert. Soils, vol.55, pp.511-523 ,
How the mass and quality of wheat and vetch mulches affect drivers of soil N 2 O emissions, 2019. ,
Long-term trends in crop yield, nitrogen losses and GHG balance of organic cropping systems ,
Simulation using the STICS model of C&N dynamics in alfalfa from sowing to crop destruction, EJA, vol.112, p.125948, 2020. ,
URL : https://hal.archives-ouvertes.fr/hal-02622466
Long term modelling of soil N mineralization and N fate using STICS in a 34-year crop rotation experiment, Geoderma, p.357, 2020. ,
URL : https://hal.archives-ouvertes.fr/hal-02627985
2019 -Long-term modelling of crop yield, nitrogen losses and GHG balance in organic cropping systems, Science of the Total Environment, 134597. ,
2015 -Analysis and classification of data sets for calibration and validation of agro-ecosystem models, Environmental Modelling & Software, vol.72, pp.402-417 ,
2020 -Simulation using the STICS model of C&N dynamics in alfalfa from sowing to crop destruction, European Journal of Agronomy, vol.112, pp.125-948 ,
Genetic and environmental factors affecting switchgrass performance and quality in Quebec, vol.104, 2013. ,
Paramétrage de la version de recherche "plantes pérennes" du modèle STICS pour une culture énergétique pérenne : le switchgrass (Panicum virgatum), XIè séminaire des utilisateurs de STICS, pp.80-81, 2017. ,
Compilation des essais de panic érigé réalisés au Québec. Publication EVC 026. Centre de référence en agriculture et agroalimentaire du Québec, vol.195, 2008. ,
STICS: a generic model for the simulation of crops and their water and nitrogen balance. I. Theory and parametrization applied to wheat and corn, vol.18, pp.311-346, 1998. ,
URL : https://hal.archives-ouvertes.fr/hal-02758689
Simulation of N2O emissions in cold humid continental climate, Séminaire STICS, vol.2017, 2017. ,
2011 -Evaluation of the STICS crop growth model with corn cultivar parameters calibrated for Eastern Canada, Agronomy for Sustainable Development, vol.31, issue.3, pp.557-570 ,
Impact of the spatial resolution of climatic data and soil physical properties on regional corn yield predictions using the STICS crop model, Int. J. Appl. Earth. Obs. Geoinf, vol.41, pp.11-22, 2015. ,
-A model-based methodology to derive optimum nitrogen rates for rainfed crops -a case study for corn using STICS in Canada, Computers and Electronics in Agriculture, vol.142, pp.572-584, 2017. ,
Estimating generalized soil-water characteristics from texture 1, Soil Science Society of America Journal, vol.50, issue.4, pp.1031-1036, 1986. ,
Climate Change 2013: The Physical Science Basis Contribution of Working Group I to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change, pp.33-115, 2013. ,
The impact of temperature variability on wheat yields, Global Change Biol, vol.17, issue.2, pp.997-1012, 2011. ,
EURO-CORDEX: new high-resolution climate change projections for European impact research, Regional Environmental Change, vol.14, issue.2, pp.563-578, 2014. ,
URL : https://hal.archives-ouvertes.fr/ineris-00963511
Long-term climate change in the Mediterranean region in the midst of decadal variability, Clim Dynam, vol.44, issue.5, pp.1437-1456, 2015. ,
Climate change impact assessment: the role of climate extremes in crop yield simulation, Climatic Change, vol.104, issue.3, pp.679-701, 2011. ,
Effects of climate change and adaptation options on winter wheat yield under rainfed Mediterranean conditions in southern Portugal, Climatic Change, vol.154, issue.1, pp.159-178, 2019. ,
Use of available information at a European level to construct crop nitrogen response curves for the regions of the EU, Agricultural Systems, vol.97, issue.1-2, pp.68-82, 2008. ,
URL : https://hal.archives-ouvertes.fr/hal-01172906
Farm-level bio-economic modeling of water and nitrogen use: Calibrating yield response functions with limited data, Agricultural Systems, vol.151, pp.47-60, 2017. ,
URL : https://hal.archives-ouvertes.fr/hal-01530791
Spatialisation de la demande en eau agricole en France par l'intégration de l'eau d'irrigation dans un modèle bioéconomique, Revue Internationale de Géomatique, vol.28, issue.4, pp.485-503, 2018. ,
Farm-level Autonomous Adaptation of European Agricultural Supply to Climate Change, Ecological Economics, vol.87, pp.1-14, 2013. ,
Evaluation of a spatialized agronomic model in predicting yield and N leaching at the scale of the Seine-Normandie basin », Environmental Science and Pollution Research, vol.25, pp.23529-23558, 2018. ,
Modelling phytoplankton development in whole drainage networks : The Riverstrahler model applied to the Seine river system, Hydrobiologia, vol.289, pp.119-137, 1994. ,
Conceptual basis, formalisations and parametrization of the STICS crop model. Édité par Quae, Update Sciences and Technologies, 2009. ,
Modélisation de la pollution diffuse d'origine agricole des grands aquifères du bassin Seine-Normandie : Actualisation des modélisations couplées STICS-MODCOU -Modélisation de scénarios agricoles sous changement climatique, ARMINES technical report, p.268, 2018. ,
« Proposition d'un modèle couplé pour la simulation conjointe des écoulements de surface et des écoulements souterrains sur un bassin hydrologique, pp.101-110, 1984. ,
Evolution des bases de données pour caractériser les dynamiques des systèmes de culture sur le bassin Seine-Normandie, INRA technical report, 219p. Reference [min -max, 2018. ,
Longterm modelling of crop yield, nitrogen losses and GHG balance in organic cropping systems, Science of the Total Environment, 2019. ,
Evaluation of the soil crop model STICS over 8 years against the "on farm" database of Bruyères catchment, European Journal of Agronomy, vol.29, pp.46-57, 2008. ,
Methanization digestates valorization in agriculture: impacts on carbon and nitrogen biogeochemical cycles, p.49053137, 2015. ,
Modélisation des processus de transformation de l'azote en digestion anaérobie : application à l'optimisation de la valorisation des digestats, 2018. ,
, Conceptual basis, formalisations and parametrization of the STICS crop model (Quae, 2009.
Simulation of the C and N dynamics in a long-term experiment with organic amendments amendment application using the STICS model ,
Effects of anaerobic digestion on digestate nutrient availability and crop growth: A review, Engineering in Life Sciences, vol.12, pp.242-257, 2012. ,
Nitrogen losses to the environment following food-based digestate and compost applications to agricultural land, Environmental Pollution, vol.228, pp.504-516, 2017. ,
Simulation of C and N mineralisation during crop residue decomposition: A simple dynamic model based on the C:N ratio of the residues, Plant Soil, vol.228, pp.83-103, 2001. ,
URL : https://hal.archives-ouvertes.fr/hal-01862651
Designing crop management systems by simulation, European Journal of Agronomy, vol.32, pp.3-9, 2010. ,
URL : https://hal.archives-ouvertes.fr/hal-01173176
An overview of the crop model STICS, European Journal of Agronomy, vol.18, pp.309-322, 2003. ,
URL : https://hal.archives-ouvertes.fr/hal-01190851
Large-scale assessment of optimal emergence and destruction dates for cover crops to reduce nitrate leaching in temperate conditions using the STICS soil-crop model, EJA, vol.69, pp.75-87, 2015. ,
URL : https://hal.archives-ouvertes.fr/hal-02638408
Cover crops reduce water drainage in temperate climates. A metaanalysis. Agronomy for Sustainable Development, vol.39, p.3, 2019. ,
URL : https://hal.archives-ouvertes.fr/hal-02422718
Cover crops reduce drainage but not always soil water content due to interactions between rainfall distribution and management ,
URL : https://hal.archives-ouvertes.fr/hal-02623441
Cover crop mixtures including legume produce ecosystem services of nitrate capture and green manuring: assessment combining experimentation and modelling, Plant and Soil, vol.401, pp.347-364, 2016. ,
URL : https://hal.archives-ouvertes.fr/hal-02636694
Long-term modelling of crop yield, nitrogen losses and GHG balance in organic cropping systems, Sci Total Environ, vol.134597, 2019. ,
Modeling soil organic carbon evolution in long-term arable experiments with AMG model, Environ Model Softw, vol.118, pp.99-113, 2019. ,
URL : https://hal.archives-ouvertes.fr/hal-02161566
Long-term nitrogen dynamics in various catch crop scenarios: Test and simulations with STICS model in a temperate climate, Agric Ecosyst Environ, vol.147, pp.36-46, 2012. ,
URL : https://hal.archives-ouvertes.fr/hal-02650637
,
Multi-metric evaluation of an ensemble of biogeochemical models for the estimation of organic carbon content in long-term bare fallow soils, Food Security and Climate Change Conference: 4 per, 2019. ,
URL : https://hal.archives-ouvertes.fr/hal-02790026
Long-term modelling of soil N mineralization and N fate using STICS in a 34-year crop rotation experiment, Geoderma, vol.357, p.113956, 2020. ,
URL : https://hal.archives-ouvertes.fr/hal-02627985
Long-term trends in crop yield, nitrogen losses and GHG balance of organic cropping systems, 2019. ,
Yield Gap Analysis of Organic Cereals Based on Field Network Monitoring and the STICS Model, XVe congress of ESA, pp.27-31, 2018. ,
Factors limiting the grain protein content of organic winter wheat in south-eastern France: a mixed-model approach, Agronomy for Sustainable Development, vol.29, issue.4, pp.565-574, 2009. ,
URL : https://hal.archives-ouvertes.fr/hal-00886484
Chapter 6-Centralized or decentralized breeding: the potentials of participatory approaches for low-input and organic agriculture, 2012. ,
A meta-analysis of the difference in environmental impacts between organic and conventional farming, British Food Journal, vol.111, pp.1098-1119, 2009. ,
Quantification expérimentale et modélisation de la production, des flux d'eau et d'azote en systèmes de culture biologiques, 2018. ,
Quantifier et chiffrer économiquement les externalités de l'agriculture biologique ?, Synthèse du rapport au MAFF, ITAB et INRA, vol.20, p.pp, 2016. ,
Simulation using the STICS model of C&N dynamics in alfalfa from sowing to crop destruction, EJA, vol.112, p.125948, 2020. ,
URL : https://hal.archives-ouvertes.fr/hal-02622466