Publications associées

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  1. Aubertot, Jean-Noël, et Marie-Hélène Robin. 2013. « Injury Profile SIMulator, a Qualitative Aggregative Modelling Framework to Predict Crop Injury Profile as a Function of Cropping Practices, and the Abiotic and Biotic Environment. I. Conceptual Bases ». PLOS ONE 8 (9): e73202. https://doi.org/10.1371/journal.pone.0073202.
  2. Bürger, Jana, Andrey V. Malyshev, et Nathalie Colbach. 2020. « Populations of Arable Weed Species Show Intra-Specific Variability in Germination Base Temperature but Not in Early Growth Rate ». PLOS ONE 15 (10): e0240538. https://doi.org/10.1371/journal.pone.0240538.
  3. Capowiez, Yvan, Stéphane Sammartino, et Eric Michel. 2014. « Burrow Systems of Endogeic Earthworms: Effects of Earthworm Abundance and Consequences for Soil Water Infiltration ». Pedobiologia 57 (4): 303‑9. https://doi.org/10.1016/j.pedobi.2014.04.001.
  4. Cardinael, Rémi, Tiphaine Chevallier, Aurélie Cambou, Camille Béral, Bernard G. Barthès, Christian Dupraz, Céline Durand, Ernest Kouakoua, et Claire Chenu. 2017. « Increased Soil Organic Carbon Stocks under Agroforestry: A Survey of Six Different Sites in France ». Agriculture, Ecosystems & Environment 236 (janvier): 243‑55. https://doi.org/10.1016/j.agee.2016.12.011.
  5. Casagrande, Enrico, Michel Génard, Sébastien Lurol, Florence Charles, Daniele Bevacqua, Davide Martinetti, et Françoise Lescourret. 2022. « Brown Rot Disease in Stored Nectarines: Modeling the Combined Effects of Preharvest and Storage Conditions ». Phytopathology® 112 (7): 1575‑83. https://doi.org/10.1094/PHYTO-12-21-0499-R.
  6. Desgué-Itier, Olivia, Laura Melo Vieira Soares, Orlane Anneville, Damien Bouffard, Vincent Chanudet, Pierre-Alain Danis, Isabelle Domaizon, et al. 2022. « Past and Future Climate Change Effects on Thermal Regime and Oxygen Solubility of Four Peri-Alpine Lakes ». EGUsphere, juin, 1‑34. https://doi.org/10.5194/egusphere-2022-260.
  7. Ellili-Bargaoui, Yosra, Christian Walter, Didier Michot, et Blandine Lemercier. 2020. « Mapping Soil Properties at Multiple Depths from Disaggregated Legacy Soil Maps in the Brittany Region, France ». Geoderma Regional 23 (décembre): e00342. https://doi.org/10.1016/j.geodrs.2020.e00342.
  8. Lander, Tonya A., Etienne K. Klein, Sylvie Oddou-Muratorio, Jean-Noël Candau, Cindy Gidoin, Alain Chalon, Anne Roig, Delphine Fallour, Marie-Anne Auger-Rozenberg, et Thomas Boivin. 2014. « Reconstruction of a Windborne Insect Invasion Using a Particle Dispersal Model, Historical Wind Data, and Bayesian Analysis of Genetic Data ». Ecology and Evolution 4 (24): 4609‑25. https://doi.org/10.1002/ece3.1206.
  9. Lanore, Laurent, David Genoud, Andre Blanchetete, Sandra Novak, Géraldine Fleurance, Jean-François Loubeyre, et Anne Farruggia. 2018. « Les abeilles dans les prairies d’exploitations d’élevage aux environnements agricoles contrastés ». Fourrages, no 236: 263.
  10. Lochon, Iris, Pascal Carrère, Jean-Claude Yvin, Diane Houdusse-Lemenager, et Juliette M. G. Bloor. 2019. « Impacts of Low-Level Liming on Soil Respiration and Forage Production in a Fertilized Upland Grassland in Central France ». Science of The Total Environment 697 (décembre): 134098. https://doi.org/10.1016/j.scitotenv.2019.134098.
  11. Marchal, Alexandre, Carl D Schlichting, Rémy Gobin, Philippe Balandier, Frédéric Millier, Facundo Muñoz, Luc E Pâques, et Leopoldo Sánchez. 2019. « Deciphering Hybrid Larch Reaction Norms Using Random Regression ». G3 Genes|Genomes|Genetics 9 (1): 21‑32. https://doi.org/10.1534/g3.118.200697.
  12. Martineau, Elsa, Lionel Jordan-Meille, et Christophe Nguyen. 2015. « Le potassium, remède contre la sécheresse ? » In 12. Rencontres de la fertilisation raisonnée et de l’analyse du COMIFER et du GEMAS, np. Lyon, France: Comité Français d’Etude et de Développement de la Fertilisation Raisonnée (COMIFER). FRA. https://hal.archives-ouvertes.fr/hal-01594441.
  13. Meilhac, Julien, Lucas Deschamps, Vincent Maire, Sandrine Flajoulot, et Isabelle Litrico. 2020. « Both Selection and Plasticity Drive Niche Differentiation in Experimental Grasslands ». Nature Plants 6 (1): 28‑33. https://doi.org/10.1038/s41477-019-0569-7.
  14. Monceau, Karine, Nevile Maher, Olivier Bonnard, et Denis Thiéry. 2013. « Predation Pressure Dynamics Study of the Recently Introduced Honeybee Killer Vespa Velutina: Learning from the Enemy ». Apidologie 44 (2): 209‑21. https://doi.org/10.1007/s13592-012-0172-7.
  15. Parent, Boris, Margot Leclere, Sébastien Lacube, Mikhail A. Semenov, Claude Welcker, Pierre Martre, et François Tardieu. 2018. « Maize yields over Europe may increase in spite of climate change, with an appropriate use of the genetic variability of flowering time ». Proceedings of the National Academy of Sciences 115 (42): 10642‑47. https://doi.org/10.1073/pnas.1720716115.
  16. Ricci, B., C. Lavigne, A. Alignier, S. Aviron, L. Biju-Duval, J. C. Bouvier, J.-P. Choisis, et al. 2019. « Local pesticide use intensity conditions landscape effects on biological pest control ». Proceedings of the Royal Society B: Biological Sciences 286 (1904): 20182898. https://doi.org/10.1098/rspb.2018.2898.
  17. Robinet, Christelle, Jérôme Rousselet, Patrick Pineau, Florie Miard, et Alain Roques. 2013. « Are Heat Waves Susceptible to Mitigate the Expansion of a Species Progressing with Global Warming? » Ecology and Evolution 3 (9): 2947‑57. https://doi.org/10.1002/ece3.690.
  18. Schultz, H. R. 2019. « Water in a Warmer World – Is Atmospheric Evaporative Demand Changing in Viticultural Areas? » BIO Web of Conferences 12: 01011. https://doi.org/10.1051/bioconf/20191201011.
  19. Senapati, Nimai, Abad Chabbi, André Faé Giostri, Jagadeesh B. Yeluripati, et Pete Smith. 2016. « Modelling Nitrous Oxide Emissions from Mown-Grass and Grain-Cropping Systems: Testing and Sensitivity Analysis of DailyDayCent Using High Frequency Measurements ». Science of The Total Environment 572 (décembre): 955‑77. https://doi.org/10.1016/j.scitotenv.2016.07.226.
  20. Vanalli, C., R. Casagrandi, M. Gatto, et D. Bevacqua. 2021. « Shifts in the Thermal Niche of Fruit Trees under Climate Change: The Case of Peach Cultivation in France ». Agricultural and Forest Meteorology 300 (avril): 108327. https://doi.org/10.1016/j.agrformet.2021.108327.
  21. Régis Fichot, Marlène Lefebvre, Marie Pégard, David Chassagnaud, Mathieu Bliard, Juliette Ferdinand, Françoise Laurans, Didier Le Thiec, Aurélie Deveau, John C. Stella, Philippe Rozenberg, Marc Villar, Distinct trait syndromes and plasticity maintain similar performance between seedlings populations of the riparian tree species Populus nigra L., Environmental and Experimental Botany,Volume 218,2024, https://doi.org/10.1016/j.envexpbot.2023.105598.
  22. Castex, V., García de Cortázar-Atauri, I., Calanca, P., Beniston, M., Moreau, J., 2020. Assembling and testing a generic phenological model to predict Lobesia botrana voltinism for impact studies. Ecological Modelling 420, 108946. https://doi.org/10.1016/j.ecolmodel.2020.108946
  23. Chuine, I., Bonhomme, M., Legave, J.-M., García de Cortázar-Atauri, I., Charrier, G., Lacointe, A., Améglio, T., 2016. Can phenological models predict tree phenology accurately in the future? The unrevealed hurdle of endodormancy break. Global change biology 22, 3444–3460.
  24. Andreini, L., García de Cortázar-Atauri, I.G., Chuine, I., Viti, R., Bartolini, S., Ruiz, D., Campoy, J.A., Legave, J.M., Audergon, J.-M., Bertuzzi, P., 2014. Understanding dormancy release in apricot flower buds (Prunus armeniaca L.) using several process-based phenological models. Agricultural and Forest Meteorology 184, 210–219.
  25. Parker, A., García de Cortázar-Atauri, I.G., Chuine, I., Barbeau, G., Bois, B., Boursiquot, J.-M., Cahurel, J.-Y., Claverie, M., Dufourcq, T., Gény, L., others, 2013. Classification of varieties for their timing of flowering and veraison using a modelling approach: A case study for the grapevine species Vitis vinifera L. Agricultural and Forest Meteorology 180, 249–264.
  26. Parker, A., García de Cortázar-Atauri, I.G., Van Leeuwen, C., Chuine, I., 2011. General phenological model to characterise the timing of flowering and veraison of Vitis vinifera L. Australian Journal of Grape and Wine Research 17, 206–216.
  27. Parker, A.K., García de Cortázar-Atauri, I.G., Gény, L., Spring, J.-L., Destrac, A., Schultz, H., Molitor, D., Lacombe, T., Graça, A., Monamy, C., 2020. Temperature-based grapevine sugar ripeness modelling for a wide range of Vitis vinifera L. cultivars. Agricultural and Forest Meteorology 285, 107902.
  28. Launay, M., Graux, A. I., Brisson, N., & Guerif, M. (2009). Carbohydrate remobilization from storage root to leaves after a stress release in sugar beet (Beta vulgaris L.): experimental and modelling approaches. Journal of Agricultural Science, 147, 669-682. https://doi.org/10.1017/s0021859609990116
  29. Shili-Touzi, I., De Tourdonnet, S., Launay, M., & Dore, T. (2010). Does intercropping winter wheat (Triticum aestivum) with red fescue (Festuca rubra) as a cover crop improve agronomic and environmental performance? A modeling approach. Field Crops Research, 116(3), 218-229. https://doi.org/10.1016/j.fcr.2009.11.007
  30. Caubel, J., de Cortazar-Atauri, I. G., Launay, M., de Noblet-Ducoudre, N., Huard, F., Bertuzzi, P., & Graux, A. I. (2015). Broadening the scope for ecoclimatic indicators to assess crop climate suitability according to ecophysiological, technical and quality criteria. Agricultural and Forest Meteorology, 207, 94-106. https://doi.org/10.1016/j.agrformet.2015.02.005
  31. Coucheney, E., Buis, S., Launay, M., Constantin, J., Mary, B., de Cortazar-Atauri, I. G., . . . Leonard, J. (2015). Accuracy, robustness and behavior of the STICS soil-crop model for plant, water and nitrogen outputs: Evaluation over a wide range of agro-environmental conditions in France. Environmental Modelling & Software, 64, 177-190. https://doi.org/10.1016/j.envsoft.2014.11.024
  32. Queyrel, W., Habets, F., Blanchoud, H., Ripoche, D., & Launay, M. (2016). Pesticide fate modeling in soils with the crop model STICS: Feasibility for assessment of agricultural practices. Science of the Total Environment, 542, 787-802. https://doi.org/10.1016/j.scitotenv.2015.10.066
  33. Demestihas, C., Plenet, D., Genard, M., de Cortazar-Atauri, I. G., Launay, M., Ripoche, D., . . . Lescourret, F. (2018). Analyzing ecosystem services in apple orchards using the STICS model. European Journal of Agronomy, 94, 108-119. https://doi.org/10.1016/j.eja.2018.01.009
  34. Vezy, R., Munz, S., Gaudio, N., Launay, M., Lecharpentier, P., Ripoche, D., & Justes, E. (2023). Modeling soil-plant functioning of intercrops using comprehensive and generic formalisms implemented in the STICS model. Agronomy for Sustainable Development, 43(5), 61. https://doi.org/10.1007/s13593-023-00917-5
  35. Bedoussac, L., & Justes, E. (2010). Dynamic analysis of competition and complementarity for light and N use to understand the yield and the protein content of a durum wheat–winter pea intercrop. Plant and Soil, 330(1), 37-54. https://doi.org/10.1007/s11104-010-0303-8
  36. Bedoussac, L., & Justes, E. (2010). The efficiency of a durum wheat-winter pea intercrop to improve yield and wheat grain protein concentration depends on N availability during early growth. Plant and Soil, 330(1), 19-35. https://doi.org/10.1007/s11104-009-0082-2
  37. Génard, M., Fishman, S., Vercambre, G., Huguet, J.-G. r., Bussi, C., Besset, J., & Habib, R. (2001). A Biophysical Analysis of Stem and Root Diameter Variations in Woody Plants. Plant Physiology, 126(1), 188-202. https://doi.org/10.1104/pp.126.1.188
  38. Ozier-Lafontaine, H., Vercambre, G., & Tournebize, R. (1997). Radiation and transpiration partitioning in a maize-sorghum intercrop: Test and evaluation of two models. Field Crops Research, 49(2), 127-145. https://doi.org/10.1016/S0378-4290(96)01047-7
  39. Constantinescu, D., Vercambre, G., & Génard, M. (2020). Model-assisted analysis of the peach pedicel–fruit system suggests regulation of sugar uptake and a water-saving strategy. Journal of Experimental Botany, 71(12), 3463-3474. https://doi.org/10.1093/jxb/eraa103
Document créé le : 2023-07-13
Dernière modification : 2025-07-30