Animal taxa contrast in their scale-dependent responses to land use change in rural Africa

dc.contributor.authorFoord, Stefan Hendrik
dc.contributor.authorSwanepoel, Lourens Hendrik
dc.contributor.authorEvans, Steven Wiiliams
dc.contributor.authorSchoeman, Colin Stephan
dc.contributor.authorErasmus, Barend Frederik N.
dc.contributor.authorSchoeman, M. Corrie
dc.contributor.authorKeith, Martin
dc.contributor.authorSmith, Alain
dc.contributor.authorMauda, Evans Vusani
dc.contributor.authorMaree, Naudene
dc.contributor.authorNembudani, Nkhumeleni
dc.contributor.authorDippenaar-Schoeman, Anna Sophia
dc.contributor.authorMunyai, Thinandavha Caswell
dc.contributor.authorTaylor, Peter John
dc.date.accessioned2022-11-03T04:19:49Z
dc.date.available2022-11-03T04:19:49Z
dc.date.issued2018-05-08
dc.description.abstractHuman-dominated landscapes comprise the bulk of the world's terrestrial surface and Africa is predicted to experience the largest relative increase over the next century. A multi-scale approach is required to identify processes that maintain diversity in these landscapes. Here we identify scales at which animal diversity responds by partitioning regional diversity in a rural African agro-ecosystem between one temporal and four spatial scales. Human land use practices are the main driver of diversity in all seven animal assemblages considered, with medium sized mammals and birds most affected. Even the least affected taxa, bats and non-volant small mammals (rodents), responded with increased abundance in settlements and agricultural sites respectively. Regional turnover was important to invertebrate taxa and their response to human land use was intermediate between that of the vertebrate extremes. Local scale (< 300 m) heterogeneity was the next most important level for all taxa, highlighting the importance of fine scale processes for the maintenance of biodiversity. Identifying the triggers of these changes within the context of functional landscapes would provide the context for the long-term sustainability of these rapidly changing landscapesen_ZA
dc.description.sponsorshipFunded by German Federal Government, BMBF (SPACES programme: Limpopo Living Landscapes project); the National Research Foundation (NRF); the Department of Science & Technology (DST) through the South African Research Chairs Initiative (SARChI) Chair on Biodiversity Value and Change in the Vhembe Biosphere Reserve, hosted and supported by theUniversity of Venda; the Sasol Agriculture Trust; Bundesministerium fuÈr Bildung und Forschung; the University of Venda (SMNS/17/Zoo/01 to LHS); International Foundation for Science (D/4984-2 to LHS); and the Centre for Invasion Biology.en_ZA
dc.identifier.apacitationFoord, S. H., Swanepoel, L. H., Evans, S. W., Schoeman, C. S., Erasmus, Barend Frederik N., Schoeman, M. Corrie., ... Taylor, P. J. (2018). Animal taxa contrast in their scale-dependent responses to land use change in rural Africa. https://hdl.handle.net/11602/2320en_ZA
dc.identifier.chicagocitationFoord, Stefan Hendrik, Lourens Hendrik Swanepoel, Steven Wiiliams Evans, Colin Stephan Schoeman, Barend Frederik N. Erasmus, M. Corrie Schoeman, Martin Keith, et al "Animal taxa contrast in their scale-dependent responses to land use change in rural Africa." (2018) https://hdl.handle.net/11602/2320en_ZA
dc.identifier.citationFoord SH, Swanepoel LH, Evans SW, Schoeman CS, Erasmus BFN, Schoeman MC, et al. (2018) Animal taxa contrast in their scale- dependent responses to land use change in rural Africa. PLoS ONE 13(5): e0194336. https://doi.org/ 10.1371/journal.pone.0194336.<https://hdl.handle.net/11602/2320>.en_ZA
dc.identifier.ris TY - Article AU - Foord, Stefan Hendrik AU - Swanepoel, Lourens Hendrik AU - Evans, Steven Wiiliams AU - Schoeman, Colin Stephan AU - Erasmus, Barend Frederik N. AU - Schoeman, M. Corrie AU - Keith, Martin AU - Smith, Alain AU - Mauda, Evans Vusani AU - Maree, Naudene AU - Nembudani, Nkhumeleni AU - Dippenaar-Schoeman, Anna Sophia AU - Munyai, Thinandavha Caswell AU - Taylor, Peter John AB - Human-dominated landscapes comprise the bulk of the world's terrestrial surface and Africa is predicted to experience the largest relative increase over the next century. A multi-scale approach is required to identify processes that maintain diversity in these landscapes. Here we identify scales at which animal diversity responds by partitioning regional diversity in a rural African agro-ecosystem between one temporal and four spatial scales. Human land use practices are the main driver of diversity in all seven animal assemblages considered, with medium sized mammals and birds most affected. Even the least affected taxa, bats and non-volant small mammals (rodents), responded with increased abundance in settlements and agricultural sites respectively. Regional turnover was important to invertebrate taxa and their response to human land use was intermediate between that of the vertebrate extremes. Local scale (< 300 m) heterogeneity was the next most important level for all taxa, highlighting the importance of fine scale processes for the maintenance of biodiversity. Identifying the triggers of these changes within the context of functional landscapes would provide the context for the long-term sustainability of these rapidly changing landscapes DA - 2018-05-08 DB - ResearchSpace DP - Univen LK - http://univendspace.univen.ac.za PY - 2018 T1 - Animal taxa contrast in their scale-dependent responses to land use change in rural Africa TI - Animal taxa contrast in their scale-dependent responses to land use change in rural Africa UR - https://hdl.handle.net/11602/2320 ER - en_ZA
dc.identifier.urihttps://hdl.handle.net/11602/2320
dc.identifier.vancouvercitationFoord SH, Swanepoel LH, Evans SW, Schoeman CS, Erasmus Barend Frederik N, Schoeman M Corrie, et al. Animal taxa contrast in their scale-dependent responses to land use change in rural Africa. 2018; https://hdl.handle.net/11602/2320.en_ZA
dc.language.isoenen_ZA
dc.subjectUCTDen_ZA
dc.titleAnimal taxa contrast in their scale-dependent responses to land use change in rural Africaen_ZA
dc.typeArticleen_ZA

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