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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A forecasting model for desert locust presence in West and North Africa
A forecasting model for desert locust presence in West and North Africa
27 févr. 2025
Marescot Lucile; Fernandez Elodie; Piou Cyril, 2025, "A forecasting model for desert locust presence in West and North Africa", https://doi.org/10.18167/DVN1/4IY2TG, CIRAD Dataverse, V1
The set of scripts provided in this dataverse contains most of the steps and data necessary to create and reproduce the models, as well as the software developped to produce automatic forecasting maps. Regarging model training, evaluation and selection, the scripts are written in...
00.1.satdata.yaml
27 févr. 2025 - A forecasting model for desert locust presence in West and North Africa
Unknown - 7,9 KB - MD5: 0038028521e3c7a09bc5204eccd444aa
# SatData ## Mamba environment creation mamba env create -f satdata.yaml mamba activate satdata pip install --extra-index-url https://artifactory.vgt.vito.be/artifactory/api/pypi/python-packages/simple terracatalogueclient ``` ## Registration An EarthData account is necessary t...
00.LICENSE
27 févr. 2025 - A forecasting model for desert locust presence in West and North Africa
Plain Text - 34,3 KB - MD5: 1ebbd3e34237af26da5dc08a4e440464
01.0.generalInfos.R
27 févr. 2025 - A forecasting model for desert locust presence in West and North Africa
R Syntax - 2,3 KB - MD5: a5505927ceac8b9d9c7fa675e8be5ee0
Set up all the paths to import and save locust data and satellite data
01.1.someFunctions.R
27 févr. 2025 - A forecasting model for desert locust presence in West and North Africa
R Syntax - 2,4 KB - MD5: f329744941a4efe2960ab60fc35c2747
Functions used in further steps to determine the decade or the season from a given date or to extract the number of observations made in a 100km buffer
02.0.downloadLOCUSTdata.R
27 févr. 2025 - A forecasting model for desert locust presence in West and North Africa
R Syntax - 1,4 KB - MD5: 8c3bd14042bfe92d8ecbc84118986129
This is a script just to explain where the locust data can be downloaded upon request : urlfao "https://locust-hub-hqfao.hub.arcgis.com/datasets/"
02.1.filterLOCUSTdata.R
27 févr. 2025 - A forecasting model for desert locust presence in West and North Africa
R Syntax - 6,8 KB - MD5: 1653eef94006fa524d7f60789c1be773
Filtering and transforming data, removing irrelevant observations, swarming years and other variables
02.2.PrepareLOCUSTdata.R
27 févr. 2025 - A forecasting model for desert locust presence in West and North Africa
R Syntax - 5,0 KB - MD5: 2f458d64a020bf15345e8b6598f85ad8
Combine all the locust data from the FAO excel files Hoppers, Adults, Swarms, Bands, Ecology
03.createreferencegrid.R
27 févr. 2025 - A forecasting model for desert locust presence in West and North Africa
R Syntax - 2,5 KB - MD5: 00ba88e6b1f2e37cf1a738ce2909877e
Create a reference grid over the all clcpro region. This enable the overlap of observations on the grid. The grid is at 1km resolution
04.AgregateObs.R
27 févr. 2025 - A forecasting model for desert locust presence in West and North Africa
R Syntax - 4,3 KB - MD5: 62302a607242a69fe0795f25253596d8
Agregate observations every ten days on 1 by 1 km pixels. This means that if one or more desert locusts were detected during at least one of the ten days of a given decade on a 1 km2 area, the information is summarized as a presence in the corresponding pixel for the given decad...
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