79
5. Modéliser les interactions du vivant
●
Références bibliographiques
Bohanec A., Messean S., Scatasta F., Angevin B., Griffiths P.H., Krogh M., Znidarsic S., Dzeroski, 2008.
A qualitative multi-attribute model for economic and ecological assessment of genetically modified crops. Ecol. Model., 215, 247-261.
Colbach N., Cordeau S., Garrido A., Granger S., Laughlin D., Ricci B., Thomson F., Messéan A., 2017.
Landsharing vs landsparing: how to reconcile crop production and biodiversity? A simulation study
focusing on weed impacts. Agric. Ecosyst. Environ., 251, 203-217.
Dufour-Kowalski S., Courbaud B., Dreyfus P., Meredieu C., de Coligny F., 2012. Capsis: an open software framework and community for forest growth modelling. Ann. Forest Sci., 69, 221-233.
Dusseux P., Zhao Y.L., Cordier M.O., Corpetti T., Delaby L., Gascuel-Odoux C., Hubert-Moy L., 2015.
PaturMata, a model to manage grassland under climate change. Agron. Sust. Dev., 35, 1087-1093.
Iqbal A., Garnier P., Lashermes G., Recous S., 2014. A new equation to simulate the contact between
soil and maize residues of different sizes during their decomposition. Biol. Fertil. Soils, 50, 645-655.
Monod H., Gascuel-Odoux C., Lescourret F., Roques L., Bohan D., Costes E., Courtois P., Fabre F.,
Faverdin P., Franc A., Hoch T., Phocas F., Steyer J.P., Tchamitchian M., 2018. Modèles en agroécologie : état et perspectives à l’Inra. Modélisation des interactions biotiques, en lien avec des
dynamiques abiotiques, sociales et économiques : contribution à la représentation de la cascade
pratiques agricoles-biodiversité-fonctions et services écosystémiques des agroécosystèmes, document interne, Inra, 51 p.
Moorhead D.L., Lashermes G., Sinsabaugh R.L., 2012. A theoretical model of C- and N-acquiring exoenzyme activities, which balances microbial demands during decomposition. Soil Biol. Biochem.,
53, 133-141.
Moorhead D., Lashermes G., Recous S., Bertrand I., 2014. Interacting microbe and litter quality controls
on litter decomposition: a modeling analysis. PLoS One, 9, e108769.
Parisey N., Bourhis Y., Roques L., Soubeyrand S., Ricci B., Poggi S., 2016. Rearranging agricultural
landscapes towards habitat quality optimisation: in silico application to pest regulation. Ecological
Complexity, 28, 113-122.
Pelzer E., Fortino G., Bockstaller C., Angevin F., Lamine C., Moonen C., Vasileiadis V., Guerin D.,
Guichard L., Reau R., Messean A., 2012. Assessing innovative cropping systems with DEXiPM, a
qualitative multi-criteria assessment tool derived from DEXi. Ecol. Indicators, 18, 171-182.
Picault S., Huang Y.-L., Sicard V., Beaudeau F., Ezanno P., 2017. A multi-level multi-agent simulation
framework in animal epidemiology. In: 15th International Conference on Practical Applications of
Agents and Multi-Agent Systems (PAAMS’2017), juin 2017, Porto, Portugal. Advances in Practical
Applications of Cyber-Physical Multi-Agent Systems: The PAAMS Collection (Demazeau Y.,
Davidsson P., Bajo J., Vale Z., eds), Springer, 209-221.
Roques L., Bonnefon O., 2016. Modelling population dynamics in realistic landscapes with linear elements: a mechanistic-statistical reaction-diffusion approach. PLoS One, 11, e0151217.
Sadok W., Angevin F., Bergez J.-E., Bockstaller C., Colomb B., Guichard L., Reau R., Messean A., Doré T.,
2009. MASC, a qualitative multi-attribute decision model for ex ante assessment of the sustainability of cropping systems. Agron. Sustain. Dev., 29, 447-461.
Soubeyrand S., 2016. Contributions to Statistical Plant and Animal Epidemiology, Mémoire d’HDR,
Université d’Aix-Marseille.
5. Modéliser les interactions du vivant
●
Références bibliographiques
Bohanec A., Messean S., Scatasta F., Angevin B., Griffiths P.H., Krogh M., Znidarsic S., Dzeroski, 2008.
A qualitative multi-attribute model for economic and ecological assessment of genetically modified crops. Ecol. Model., 215, 247-261.
Colbach N., Cordeau S., Garrido A., Granger S., Laughlin D., Ricci B., Thomson F., Messéan A., 2017.
Landsharing vs landsparing: how to reconcile crop production and biodiversity? A simulation study
focusing on weed impacts. Agric. Ecosyst. Environ., 251, 203-217.
Dufour-Kowalski S., Courbaud B., Dreyfus P., Meredieu C., de Coligny F., 2012. Capsis: an open software framework and community for forest growth modelling. Ann. Forest Sci., 69, 221-233.
Dusseux P., Zhao Y.L., Cordier M.O., Corpetti T., Delaby L., Gascuel-Odoux C., Hubert-Moy L., 2015.
PaturMata, a model to manage grassland under climate change. Agron. Sust. Dev., 35, 1087-1093.
Iqbal A., Garnier P., Lashermes G., Recous S., 2014. A new equation to simulate the contact between
soil and maize residues of different sizes during their decomposition. Biol. Fertil. Soils, 50, 645-655.
Monod H., Gascuel-Odoux C., Lescourret F., Roques L., Bohan D., Costes E., Courtois P., Fabre F.,
Faverdin P., Franc A., Hoch T., Phocas F., Steyer J.P., Tchamitchian M., 2018. Modèles en agroécologie : état et perspectives à l’Inra. Modélisation des interactions biotiques, en lien avec des
dynamiques abiotiques, sociales et économiques : contribution à la représentation de la cascade
pratiques agricoles-biodiversité-fonctions et services écosystémiques des agroécosystèmes, document interne, Inra, 51 p.
Moorhead D.L., Lashermes G., Sinsabaugh R.L., 2012. A theoretical model of C- and N-acquiring exoenzyme activities, which balances microbial demands during decomposition. Soil Biol. Biochem.,
53, 133-141.
Moorhead D., Lashermes G., Recous S., Bertrand I., 2014. Interacting microbe and litter quality controls
on litter decomposition: a modeling analysis. PLoS One, 9, e108769.
Parisey N., Bourhis Y., Roques L., Soubeyrand S., Ricci B., Poggi S., 2016. Rearranging agricultural
landscapes towards habitat quality optimisation: in silico application to pest regulation. Ecological
Complexity, 28, 113-122.
Pelzer E., Fortino G., Bockstaller C., Angevin F., Lamine C., Moonen C., Vasileiadis V., Guerin D.,
Guichard L., Reau R., Messean A., 2012. Assessing innovative cropping systems with DEXiPM, a
qualitative multi-criteria assessment tool derived from DEXi. Ecol. Indicators, 18, 171-182.
Picault S., Huang Y.-L., Sicard V., Beaudeau F., Ezanno P., 2017. A multi-level multi-agent simulation
framework in animal epidemiology. In: 15th International Conference on Practical Applications of
Agents and Multi-Agent Systems (PAAMS’2017), juin 2017, Porto, Portugal. Advances in Practical
Applications of Cyber-Physical Multi-Agent Systems: The PAAMS Collection (Demazeau Y.,
Davidsson P., Bajo J., Vale Z., eds), Springer, 209-221.
Roques L., Bonnefon O., 2016. Modelling population dynamics in realistic landscapes with linear elements: a mechanistic-statistical reaction-diffusion approach. PLoS One, 11, e0151217.
Sadok W., Angevin F., Bergez J.-E., Bockstaller C., Colomb B., Guichard L., Reau R., Messean A., Doré T.,
2009. MASC, a qualitative multi-attribute decision model for ex ante assessment of the sustainability of cropping systems. Agron. Sustain. Dev., 29, 447-461.
Soubeyrand S., 2016. Contributions to Statistical Plant and Animal Epidemiology, Mémoire d’HDR,
Université d’Aix-Marseille.