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.
Featured Dataverses

In order to use this feature you must have at least one published dataverse.

Publish Dataverse

Are you sure you want to publish your dataverse? Once you do so it must remain published.

Publish Dataverse

This dataverse cannot be published because the dataverse it is in has not been published.

Delete Dataverse

Are you sure you want to delete your dataverse? You cannot undelete this dataverse.

Advanced Search

11 to 20 of 148 Results
MeanAbundancePerOrchard_2013.csv
15 juil. 2024 - Data and Rscripts for: "Hierarchizing multiscale environmental effects on agricultural pest population dynamics: a case study on the annual onset of Bactrocera dorsalis population growth in Senegalese orchards"
Comma Separated Values - 14,7 KB - MD5: d7df444a7be63e0896ae99c777e6d60c
Data
Input data for t0 estimation, i.e. one file per year containing the mean abundance values of B. dorsalis per week for each orchard (average of captures per week and orchard).
MeanAbundancePerOrchard_2014.csv
15 juil. 2024 - Data and Rscripts for: "Hierarchizing multiscale environmental effects on agricultural pest population dynamics: a case study on the annual onset of Bactrocera dorsalis population growth in Senegalese orchards"
Comma Separated Values - 13,5 KB - MD5: 0d4f7fb1767b3b9d4735aadb5fe7a935
Data
Input data for t0 estimation, i.e. one file per year containing the mean abundance values of B. dorsalis per week for each orchard (average of captures per week and orchard).
popfit_t0_estimation.r
15 juil. 2024 - Data and Rscripts for: "Hierarchizing multiscale environmental effects on agricultural pest population dynamics: a case study on the annual onset of Bactrocera dorsalis population growth in Senegalese orchards"
R Syntax - 14,7 KB - MD5: d3225aedcddec994de85fefbb6634bb0
Code
This script was used to estimate the demographic variable t0.
README.txt
15 juil. 2024 - Data and Rscripts for: "Hierarchizing multiscale environmental effects on agricultural pest population dynamics: a case study on the annual onset of Bactrocera dorsalis population growth in Senegalese orchards"
Plain Text - 5,1 KB - MD5: 0f6b83502d5d3f35e88399e1af9b6e75
Docs
Description of the content of the dataverse
siland_example.R
15 juil. 2024 - Data and Rscripts for: "Hierarchizing multiscale environmental effects on agricultural pest population dynamics: a case study on the annual onset of Bactrocera dorsalis population growth in Senegalese orchards"
R Syntax - 9,1 KB - MD5: de1e48610199323bf1db26158daa99bf
Code
This script allows to estimate the landscape influence on a replicate of t0 estimates of the land use categories from the land use map.
siland_parameters.txt
15 juil. 2024 - Data and Rscripts for: "Hierarchizing multiscale environmental effects on agricultural pest population dynamics: a case study on the annual onset of Bactrocera dorsalis population growth in Senegalese orchards"
Plain Text - 279 B - MD5: e561562259520908180429227682725f
Data
Values of the Siland parameters (init, wd, maxD) used in the article (selected with a parameter tuning step not presented here but described in the article).
study_area_boundaries.zip
15 juil. 2024 - Data and Rscripts for: "Hierarchizing multiscale environmental effects on agricultural pest population dynamics: a case study on the annual onset of Bactrocera dorsalis population growth in Senegalese orchards"
Shapefile as ZIP Archive - 5,9 KB - MD5: fd7b83c4a572538bf3521c7202a511cb
Data
Shapefile corresponding to the limits of the study area.
study_area_grid.zip
15 juil. 2024 - Data and Rscripts for: "Hierarchizing multiscale environmental effects on agricultural pest population dynamics: a case study on the annual onset of Bactrocera dorsalis population growth in Senegalese orchards"
Shapefile as ZIP Archive - 109,1 KB - MD5: cad76066eed22fe0a6d94e4952d3de62
Data
Shapefile corresponding to the grid used to perform the PCA on the climate variables.
Multi-scale analyses of past climate change and management impacts on desert locust gregarization risk.
Multi-scale analyses of past climate change and management impacts on desert locust gregarization risk.
23 avr. 2024
Herbillon, Fanny; Piou, Cyril; Meynard, Christine N., 2024, "Multi-scale analyses of past climate change and management impacts on desert locust gregarization risk.", https://doi.org/10.18167/DVN1/1FO9M6, CIRAD Dataverse, V1, UNF:6:J6LMg13oiZiQsldnzLRsJg== [fileUNF]
R scripts for data filtering, climate decomposition, trend analysis ; locust table data, climate raster data
1.1.prepareCHELSAdata.R
23 avr. 2024 - Multi-scale analyses of past climate change and management impacts on desert locust gregarization risk.
R Syntax - 1,9 KB - MD5: 094d618e2ceac95c15c94ecd14f1c89f
Add Data

Log in to create a dataverse or add a dataset.

Log In
Share Dataverse

Share this dataverse on your favorite social media networks.

Link Dataverse
Reset Modifications

Are you sure you want to reset the selected metadata fields? If you do this, any customizations (hidden, required, optional) you have done will no longer appear.