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Waterhole detection using a vegetation index in desert bighorn sheep (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 habitat in the state of Baja California,...

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Autores principales: Escobar-Flores, Jonathan Gabriel, Sandoval, Sarahi, Valdez, Raul, Shahriary, Eahsan, Torres, Jorge, Alvarez-Cardenas, Sergio, Gallina-Tessaro, Patricia
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6342311/
https://www.ncbi.nlm.nih.gov/pubmed/30668602
http://dx.doi.org/10.1371/journal.pone.0211202
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author Escobar-Flores, Jonathan Gabriel
Sandoval, Sarahi
Valdez, Raul
Shahriary, Eahsan
Torres, Jorge
Alvarez-Cardenas, Sergio
Gallina-Tessaro, Patricia
author_facet Escobar-Flores, Jonathan Gabriel
Sandoval, Sarahi
Valdez, Raul
Shahriary, Eahsan
Torres, Jorge
Alvarez-Cardenas, Sergio
Gallina-Tessaro, Patricia
author_sort Escobar-Flores, Jonathan Gabriel
collection PubMed
description 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 habitat 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.
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spelling pubmed-63423112019-02-02 Waterhole detection using a vegetation index in desert bighorn sheep (Ovis canadensis cremnobates) habitat Escobar-Flores, Jonathan Gabriel Sandoval, Sarahi Valdez, Raul Shahriary, Eahsan Torres, Jorge Alvarez-Cardenas, Sergio Gallina-Tessaro, Patricia PLoS One Research Article 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 habitat 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 2019-01-22 /pmc/articles/PMC6342311/ /pubmed/30668602 http://dx.doi.org/10.1371/journal.pone.0211202 Text en © 2019 Escobar-Flores et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Escobar-Flores, Jonathan Gabriel
Sandoval, Sarahi
Valdez, Raul
Shahriary, Eahsan
Torres, Jorge
Alvarez-Cardenas, Sergio
Gallina-Tessaro, Patricia
Waterhole detection using a vegetation index in desert bighorn sheep (Ovis canadensis cremnobates) habitat
title Waterhole detection using a vegetation index in desert bighorn sheep (Ovis canadensis cremnobates) habitat
title_full Waterhole detection using a vegetation index in desert bighorn sheep (Ovis canadensis cremnobates) habitat
title_fullStr Waterhole detection using a vegetation index in desert bighorn sheep (Ovis canadensis cremnobates) habitat
title_full_unstemmed Waterhole detection using a vegetation index in desert bighorn sheep (Ovis canadensis cremnobates) habitat
title_short Waterhole detection using a vegetation index in desert bighorn sheep (Ovis canadensis cremnobates) habitat
title_sort waterhole detection using a vegetation index in desert bighorn sheep (ovis canadensis cremnobates) habitat
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6342311/
https://www.ncbi.nlm.nih.gov/pubmed/30668602
http://dx.doi.org/10.1371/journal.pone.0211202
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