Mapping potential connections between Southern Africa’s elephant populations

Southern Africa spans nearly 7 million km2 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 obs...

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Main Authors: Ryan M. Huang, Rudi J. van Aarde, Stuart L. Pimm, Michael J. Chase, Keith Leggett
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2022-01-01
Series:PLoS ONE
Online Access:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9553058/?tool=EBI
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author Ryan M. Huang
Rudi J. van Aarde
Stuart L. Pimm
Michael J. Chase
Keith Leggett
author_facet Ryan M. Huang
Rudi J. van Aarde
Stuart L. Pimm
Michael J. Chase
Keith Leggett
author_sort Ryan M. Huang
collection DOAJ
description Southern Africa spans nearly 7 million km2 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.
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spelling doaj.art-47e0240081ac48149ba0fddc64bd97cf2022-12-22T04:13:13ZengPublic Library of Science (PLoS)PLoS ONE1932-62032022-01-011710Mapping potential connections between Southern Africa’s elephant populationsRyan M. HuangRudi J. van AardeStuart L. PimmMichael J. ChaseKeith LeggettSouthern Africa spans nearly 7 million km2 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.https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9553058/?tool=EBI
spellingShingle Ryan M. Huang
Rudi J. van Aarde
Stuart L. Pimm
Michael J. Chase
Keith Leggett
Mapping potential connections between Southern Africa’s elephant populations
PLoS ONE
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
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9553058/?tool=EBI
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AT michaeljchase mappingpotentialconnectionsbetweensouthernafricaselephantpopulations
AT keithleggett mappingpotentialconnectionsbetweensouthernafricaselephantpopulations