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Waterhole detection using a vegetation index in desert bighorn sheep (Ovis canadensis cremnobates) habitat
Jonathan Gabriel Escobar Flores
SARAHI SANDOVAL ESPINOZA
JORGE TORRES RODRIGUEZ
SERGIO ALVAREZ CARDENAS
Patricia Galina Tessaro
Acceso Abierto
Atribución-NoComercial-SinDerivadas
DOI: 10.1371/journal.pone.0211202
ISSN: 1932-6203
URL: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0211202
Ovis canadensis cremnobates, habitat
"In arid ecosystems, desert bighorn sheep are dependent on natural waterholes, particularly in summer when forage is scarce and environmental temperatures are high. To detect waterholes in Sierra Santa Isabel, which is the largest area of desert bighorn sheep hábitat in the state of Baja California, Mexico, we used the normalized difference vegetation index (NDVI) and normalized difference water index (NDWI) from Sentinel-2 satellite images. Waterhole detection was based on the premise that sites with greater water availability, where NDVI was higher, can be identified by their density of vegetation greenness. For the detected waterholes, we estimated the escape terrain (presence of cliffs or steep, rocky slopes) around each by the vector ruggedness measure to determine their potential use by desert bighorn sheep based on the animals’ presence as documented by camera traps. We detected 14 waterholes with the NDVI of which 11 were known by land owners and 3 were unrecorded. Desert bighorn were not detected in waterholes with high values of escape terrain, i.e., flat areas. Waterhole detection by NDVI is a simple method, and with the assistance and knowledge of the inhabitants of the Sierra, it was possible to confirm the presence each waterhole in the field."
Public Library of Science
2019
Artículo
PLOS ONE
Inglés
Escobar-Flores JG, Sandoval S, Valdez R, Shahriary E, Torres J, Alvarez-Cardenas S, et al. (2019) Waterhole detection using a vegetation index in desert bighorn sheep (Ovis canadensis cremnobates) habitat. PLoS ONE 14(1): e0211202. https://doi.org/10.1371/journal.pone.0211202
ECOLOGÍA ANIMAL
Versión publicada
publishedVersion - Versión publicada
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