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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,...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2019
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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. |
format | Online Article Text |
id | pubmed-6342311 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
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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