Mapping potential connections between Southern Africa’s elephant populations

dc.contributor.authorHuang, Ryan M.
dc.contributor.authorVan Aarde, Rudi J.
dc.contributor.authorPimm, Stuart L.
dc.contributor.authorChase, Michael
dc.contributor.authorLeggett, Keith
dc.contributor.emailrjvaarde@zoology.up.ac.zaen_US
dc.date.accessioned2022-11-07T10:21:21Z
dc.date.available2022-11-07T10:21:21Z
dc.date.issued2022-09-11
dc.descriptionDATA AVAILABILITY STATEMENT : Telemetry data cannot be shared publicly because they contain the locations of an endangered and highly poached species. The environmental and human data necessary for reproducing our results are available at: https://osf.io/eyanr/. Much of these data have also been published under Loarie et al (2009).en_US
dc.descriptionSUPPLEMENTARY MATERIAL : S1 Table. Telemetry sample size. Table of the number of males and female elephants providing telemetry data broken down by conservation cluster of occurrences. Included are the major protected areas in each cluster. https://doi.org/10.1371/journal.pone.0275791.s001en_US
dc.descriptionS2 Table. Area of layer intersection. Table providing amount of area considered suitable within each country of interest for each data layer used in addition to the combined data. https://doi.org/10.1371/journal.pone.0275791.s002en_US
dc.descriptionS1 Fig. Map of suitable landscapes. High resolution map showing areas that are both environmentally suitable for elephants and currently experience low human activity. https://doi.org/10.1371/journal.pone.0275791.s003en_US
dc.descriptionS2 Fig. Distribution of slope across conservation clusters. Histogram of elephant telemetry points at various slopes for each metapopulation cluster. The red dashed line indicates the threshold (3°) of preference for suitability. https://doi.org/10.1371/journal.pone.0275791.s004en_US
dc.descriptionS3 Fig. Distance to rivers across conservation clusters. Accumulation curve of area within a conservation cluster as the distance increases away from rivers of varying flow orders. https://doi.org/10.1371/journal.pone.0275791.s005en_US
dc.description4 Fig. Distribution of crop probability across conservation clusters. Histogram of elephant telemetry points at various cropland probabilities for each metapopulation cluster outside of protected areas. The red dashed line indicates the threshold (25%) of preference for suitability. https://doi.org/10.1371/journal.pone.0275791.s006en_US
dc.descriptionS5 Fig. Distribution of human population density across conservation clusters. Histogram of elephant telemetry points at various human population densities for each metapopulation cluster outside of protected areas. The red dashed line indicates the threshold (25 people per km2) of preference for suitability. https://doi.org/10.1371/journal.pone.0275791.s007en_US
dc.descriptionS6 Fig. Elephant interactions with cattle. A) Histogram of elephant telemetry points at various cattle densities for each metapopulation cluster outside of protected areas. The red dashed line indicates the threshold (5 cattle per km2) of preference for suitability. B) A map of elephant telemetry points illustrating how spill over from protected areas leads to interactions with areas of high cattle density. https://doi.org/10.1371/journal.pone.0275791.s008en_US
dc.description.abstractSouthern 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.en_US
dc.description.departmentZoology and Entomologyen_US
dc.description.librariandm2022en_US
dc.description.sponsorshipBilliton, Conservation Foundation Zambia, Conservation International’s southern Africa’s Wildlife Programme, the Conservation Lower Zambezi, the International Fund for Animal Welfare, the Mozal Community Development Trust, the National Research Foundation, the National Postcode Lottery of the Netherlands, Peace Parks Foundation, the US Fish and Wildlife Services, the University of Pretoria, the World Wildlife Fund (SARPO; Mozambique; SA), the Walt Disney Grant Foundation, and the Wildlifewins Lottery. Elephants Without Borders was funded by the Paul G. Allen Family Foundation, Jody Allen, the Woodtiger Fund, the Thomas C Bishop Charitable Foundation, the James and Deborah Burrows Foundation, and the Zoological Society of San Diego. We acknowledge the in kind logistical support of South African National Parks.en_US
dc.description.urihttp://www.plosone.orgen_US
dc.identifier.citationHuang, R.M., Van Aarde, R.J., Pimm, S.L., Chase, M.J. & Leggett, K. (2022) Mapping potential connections between Southern Africa’s elephant populations. PLoS One 17(10): e0275791. https://doi.org/10.1371/journal.pone.0275791.en_US
dc.identifier.issn1932-6203 (online)
dc.identifier.other10.1371/journal.pone.0275791
dc.identifier.urihttps://repository.up.ac.za/handle/2263/88166
dc.language.isoenen_US
dc.publisherPublic Library of Scienceen_US
dc.rights© 2022 Huang et al. This is an open access article distributed under the terms of the Creative Commons Attribution License.en_US
dc.subjectElephantsen_US
dc.subjectConservation scienceen_US
dc.subjectRiversen_US
dc.subjectAfricaen_US
dc.subjectMozambiqueen_US
dc.subjectLivestocken_US
dc.subjectMalawien_US
dc.subjectSurface wateren_US
dc.subjectAfrican elephant (Loxodonta africana)en_US
dc.titleMapping potential connections between Southern Africa’s elephant populationsen_US
dc.typeArticleen_US

Files

Original bundle

Now showing 1 - 5 of 9
Loading...
Thumbnail Image
Name:
Huang_Mapping_2022.pdf
Size:
7.12 MB
Format:
Adobe Portable Document Format
Description:
Article
Loading...
Thumbnail Image
Name:
Huang_MappingTabS1_2022.xlsx
Size:
16.12 KB
Format:
Microsoft Excel XML
Description:
Table S1
Loading...
Thumbnail Image
Name:
Huang_MappingTabS2_2022.xlsx
Size:
18.97 KB
Format:
Microsoft Excel XML
Description:
Table S2
Loading...
Thumbnail Image
Name:
Huang_MappingFigS1_2022.tif
Size:
3.08 MB
Format:
Tag Image File Format
Description:
Figure S1
Loading...
Thumbnail Image
Name:
Huang_MappingFigS2_2022.tif
Size:
188.96 KB
Format:
Tag Image File Format
Description:
Figure S2

License bundle

Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
license.txt
Size:
1.75 KB
Format:
Item-specific license agreed upon to submission
Description: