1 to 5 of 5 Results
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 |
9 nov. 2022
Vernier, Camille; Barthes, Nicolas; Chapuis, Marie-Pierre; Foucaud, Julien; Huguenin, Joris; Lemenager, Nicolas; Piou, Cyril, 2022, "Original data used in Vernier et al.'s work: "Faeces' odours attract gregarious locust hoppers"", https://doi.org/10.18167/DVN1/D3OP8O, CIRAD Dataverse, V1, UNF:6:R/QcjJUh0JNkL7XCE6g8uw== [fileUNF]
Data of behavioral assays and chemical analyses. R scripts and .csv files. |
23 sept. 2021
CHAPUIS, Marie-Pierre; PELISSIE, Benjamin; PIOU, Cyril; JOURDAN-PINEAU, Hélène, 2021, "Original data for "Chapuis et al., 2021. Additive genetic variance for traits least related to fitness increases with environmental stress in the desert locust, Schistocerca gregaria. Ecology and Evolution, 11: 13930-13947."", https://doi.org/10.18167/DVN1/S735JB, CIRAD Dataverse, V1
Phenotypic and pedigree data and R scripts for analyses (v. 4.0.4). |
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 |
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. |