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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mousecoords.R
27 févr. 2025 - A forecasting model for desert locust presence in West and North Africa
R Syntax - 14,5 KB - MD5: ce8a3474333de6cb5f68e422bb66375f
production_CGLS_VIIRS.yaml
27 févr. 2025 - A forecasting model for desert locust presence in West and North Africa
Unknown - 2,0 KB - MD5: 671b1f5e2b9bbab7269ef1ebdf9bb099
production.yaml
27 févr. 2025 - A forecasting model for desert locust presence in West and North Africa
Unknown - 2,0 KB - MD5: 6b32216d3081bfc02f7550b9c4567c7c
README.md
27 févr. 2025 - A forecasting model for desert locust presence in West and North Africa
Markdown Text - 616 B - MD5: 20f34ee673316547457952de80918cd6
test.yaml
27 févr. 2025 - A forecasting model for desert locust presence in West and North Africa
Unknown - 2,0 KB - MD5: 1027266d8feae686d3d8dcb88020191e
tools.py
27 févr. 2025 - A forecasting model for desert locust presence in West and North Africa
Python Source Code - 15,8 KB - MD5: 842ea33a1178fcc3d49b92992bfdff99
tools.py
27 févr. 2025 - A forecasting model for desert locust presence in West and North Africa
Python Source Code - 12,9 KB - MD5: 98295fb11e6278af3c349920275fe2cd
Agent-based model SIT++ source code : Exploring the success of SIT with entomovectoring (boosted SIT) depending on insect pest and biocide characteristics.
Agent-based model SIT++ source code : Exploring the success of SIT with entomovectoring (boosted SIT) depending on insect pest and biocide characteristics.
21 nov. 2024
Herbillon, Fanny; Diouf, Esther; Piou, Cyril; Brevault, Thierry; Fellous, Simon; Haramboure, Marion, 2024, "Agent-based model SIT++ source code : Exploring the success of SIT with entomovectoring (boosted SIT) depending on insect pest and biocide characteristics.", https://doi.org/10.18167/DVN1/VFK8UF, CIRAD Dataverse, V1
A generic model built in Netlogo to explore the features of insect pests and biocides that encourage the success of boosted SIT. The model represents individuals of a same insect species, characterized by variables such as sex (male/female), developmental stage (immature/mature),...
Readme.txt
21 nov. 2024 - Agent-based model SIT++ source code : Exploring the success of SIT with entomovectoring (boosted SIT) depending on insect pest and biocide characteristics.
Plain Text - 79 B - MD5: 20c0b79b96fa22c37c51f8fcb7498f2f
Docs
Where to download Netlogo
SIT++ model.nlogo
21 nov. 2024 - Agent-based model SIT++ source code : Exploring the success of SIT with entomovectoring (boosted SIT) depending on insect pest and biocide characteristics.
text/nlogo - 114,5 KB - MD5: c9280ecdba91b7bdb4c6bfeb0a3d9627
Code
A generic model built with NetLogo to explore the insect pest and biocide traits that encourage the success of the boosted Sterile Insect Technique. Source code suitable for Netlogo 6.1.1.
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