The coexistence of the brown bear and farmers in the Pyrenees has been a major concern for several decades. Bears depredation on livestock has multiple implications for traditional practices of extensive grazing, and call for a better understanding of the various ways in which humans and non-humans interact across different territories. The present dataset stems from the "POP: Pastoralism and Bears in the Pyrenees" research project led by the GEODE laboratory (UMR 5602 CNRS-UT2J) and the Association Dissonances, as part of a thesis supervised by Ruppert Vimal and Sylvie Guillerme, and carried out by Alice Ouvrier. This project proposes to study the bears/farmers relationships and interactions in three Pyrenean mountain pastures. As part of an interdisciplinary approach combining animal geography and ecology, the spatio-temporal activity of the different species was explored using a network of 118 camera traps. The cameras were installed on the summer pastures while livestock was present in the mountains, between May and October, from 2021 to 2023, and were set in a 400m x 400m grid covering a total area of around 2,000 Ha. The data generated by this sampling protocol covers a total of 19 species, 1 class and 2 families. The dataset can be found at the following DOI : https://doi.org/10.15468/939z6d. In addition, the datapaper associated with the dataset can be consulted at the following DOI : https://doi.org/10.3897/BDJ.12.e126097. You can find here two additional files to the dataset published on GBIF, providing information on the operating days of each camera trap (here indicated by the geometry of the grid cell in which they are installed). In "POP_project_CT_operation.ods", you'll find an overview of each camera trap operation. In "POP_project_CT_operation_2.ods", you'll find a list of each day's operation for each trap. The three sheets of each file correspond to the three years. In these documents, each camera trap is indicated by the location of the centroid of the grid cell in which it is installed. This makes it easy to link them to the dataset published in GBIF. In addition, the geometry of each grid cell is also indicated, to make it easier to reuse the data.
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