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Mapping potential connections between Southern Africa’s elephant populations
Southern Africa spans nearly 7 million km(2) and contains approximately 80% of the world’s savannah elephants (Loxodonta africana) mostly living in isolated protected areas. Here we ask what are the prospects for improving the connections between these populations? We combine 1.2 million telemetry o...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9553058/ https://www.ncbi.nlm.nih.gov/pubmed/36219597 http://dx.doi.org/10.1371/journal.pone.0275791 |
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author | Huang, Ryan M. van Aarde, Rudi J. Pimm, Stuart L. Chase, Michael J. Leggett, Keith |
author_facet | Huang, Ryan M. van Aarde, Rudi J. Pimm, Stuart L. Chase, Michael J. Leggett, Keith |
author_sort | Huang, Ryan M. |
collection | PubMed |
description | Southern Africa spans nearly 7 million km(2) and contains approximately 80% of the world’s savannah elephants (Loxodonta africana) mostly living in isolated protected areas. Here we ask what are the prospects for improving the connections between these populations? We combine 1.2 million telemetry observations from 254 elephants with spatial data on environmental factors and human land use across eight southern African countries. Telemetry data show what natural features limit elephant movement and what human factors, including fencing, further prevent or restrict dispersal. The resulting intersection of geospatial data and elephant presences provides a map of suitable landscapes that are environmentally appropriate for elephants and where humans allow elephants to occupy. We explore the environmental and anthropogenic constraints in detail using five case studies. Lastly, we review all the major potential connections that may remain to connect a fragmented elephant metapopulation and document connections that are no longer feasible. |
format | Online Article Text |
id | pubmed-9553058 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-95530582022-10-12 Mapping potential connections between Southern Africa’s elephant populations Huang, Ryan M. van Aarde, Rudi J. Pimm, Stuart L. Chase, Michael J. Leggett, Keith PLoS One Research Article Southern Africa spans nearly 7 million km(2) and contains approximately 80% of the world’s savannah elephants (Loxodonta africana) mostly living in isolated protected areas. Here we ask what are the prospects for improving the connections between these populations? We combine 1.2 million telemetry observations from 254 elephants with spatial data on environmental factors and human land use across eight southern African countries. Telemetry data show what natural features limit elephant movement and what human factors, including fencing, further prevent or restrict dispersal. The resulting intersection of geospatial data and elephant presences provides a map of suitable landscapes that are environmentally appropriate for elephants and where humans allow elephants to occupy. We explore the environmental and anthropogenic constraints in detail using five case studies. Lastly, we review all the major potential connections that may remain to connect a fragmented elephant metapopulation and document connections that are no longer feasible. Public Library of Science 2022-10-11 /pmc/articles/PMC9553058/ /pubmed/36219597 http://dx.doi.org/10.1371/journal.pone.0275791 Text en © 2022 Huang et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://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 Huang, Ryan M. van Aarde, Rudi J. Pimm, Stuart L. Chase, Michael J. Leggett, Keith Mapping potential connections between Southern Africa’s elephant populations |
title | Mapping potential connections between Southern Africa’s elephant populations |
title_full | Mapping potential connections between Southern Africa’s elephant populations |
title_fullStr | Mapping potential connections between Southern Africa’s elephant populations |
title_full_unstemmed | Mapping potential connections between Southern Africa’s elephant populations |
title_short | Mapping potential connections between Southern Africa’s elephant populations |
title_sort | mapping potential connections between southern africa’s elephant populations |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9553058/ https://www.ncbi.nlm.nih.gov/pubmed/36219597 http://dx.doi.org/10.1371/journal.pone.0275791 |
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