L’UMR CBGP – Centre de Biologie pour la Gestion des Populations – a pour vocation de comprendre les mécanismes qui régissent l’évolution de populations d'organismes importants pour l’agronomie, les forêts, la santé humaine ou la conservation de la biodiversité. Les recherches portent sur des modèles biologiques et sont développées selon six axes : origine et caractérisation de la biodiversité ; adaptation des phytophages, de leurs ennemis naturels et de leurs symbiontes ; écologie et évolution des zoonoses ; biologie, écologie et évolution des espèces envahissantes ; génomique statistique et évolutive des populations ; approches moléculaires et bioinformatiques haut débit. Nos tutelles sont l'INRAE, le CIRAD, l'IRD et l'Institut Agro-Montpellier.

UMR CBGP – Centre de Biologie pour la Gestion des Populations – aims to understand the mechanisms that govern populations of organisms that are important to agriculture, forest, human health and biodiversity conservation. Studies concern biological models and follow six lines of research: origin and characterization of biodiversity; adaptation of plant eaters, their natural enemies and symbionts; ecology and evolution of zoonoses; biology, ecology and evolution of invasive species; statistical and evolutionary population genomics; and high-throughput molecular and bioinformatics techniques. Our supervising bodies are INRAE, CIRAD, IRD and Institut Agro-Montpellier.
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11 to 14 of 14 Results
Original data for "Chapuis et al., 2020. A young age of subspecific divergence in the desert locust Schistocerca gregaria inferred by ABC Random Forest. Molecular Ecology, 29(23): 4542-4558."
Original data for "Chapuis et al., 2020. A young age of subspecific divergence in the desert locust Schistocerca gregaria inferred by ABC Random Forest. Molecular Ecology, 29(23): 4542-4558."
14 janv. 2020
CHAPUIS, Marie-Pierre; RAYNAL, Louis; PLANTAMP, Christophe; MEYNARD, Christine N.; BLONDIN, Laurence; MARIN, Jean-Michel; ESTOUP, Arnaud, 2020, "Original data for "Chapuis et al., 2020. A young age of subspecific divergence in the desert locust Schistocerca gregaria inferred by ABC Random Forest. Molecular Ecology, 29(23): 4542-4558."", https://doi.org/10.18167/DVN1/ZNSKGK, CIRAD Dataverse, V1
Microsatellite genotypic data and R scripts for ABC-RF analyses
Multi-agent model ALMMAS 1.4: source code
Multi-agent model ALMMAS 1.4: source code
25 juil. 2019
Gay, Pierre-Emmanuel; Piou, Cyril, 2019, "Multi-agent model ALMMAS 1.4: source code", https://doi.org/10.18167/DVN1/MJHW2L, CIRAD Dataverse, V1
Multi-agent model ALMMAS 1.4 source code for NetLogo (v. 6.0.4)
Original data for Piou et al. "Soil moisture from remote sensing to forecast Desert locust presence"
Original data for Piou et al. "Soil moisture from remote sensing to forecast Desert locust presence"
13 nov. 2018
PIOU, Cyril; GAY, Pierre-Emmanuel; BENAHI, Ahmed Salem; BABAH EBBE, Mohamed Abdallahi; CHIHRANE, Jamal; GHAOUT, Saïd; CISSÉ, Sory; DIAKITÉ, Fakaba; LAZAR, Mohammed; CRESSMAN, Keith; MERLIN, Olivier; ESCORIHUELA, Maria-José, 2018, "Original data for Piou et al. "Soil moisture from remote sensing to forecast Desert locust presence"", https://doi.org/10.18167/DVN1/AGVOW7, CIRAD Dataverse, V1
Dataset used in the analyses relating soil moisture estimates and other remote sensing estimates to the presence/absence of desert locust in Algeria, Mali, Mauriania and Morocco.
Multi-agent model ALMMAS 1.0.2: source code
Multi-agent model ALMMAS 1.0.2: source code
15 oct. 2018
GAY, Pierre-Emmanuel; PIOU, Cyril, 2018, "Multi-agent model ALMMAS 1.0.2: source code", https://doi.org/10.18167/DVN1/ARUTUO, CIRAD Dataverse, V2
Multi-agent model ALMMAS 1.0.2 source code for NetLogo (v. 6.0.4)
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