Please use this identifier to cite or link to this item: https://openscholar.ump.ac.za/handle/20.500.12714/211
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dc.contributor.authorParker, Daniel M.en_US
dc.date.accessioned2021-02-18T08:47:44Z-
dc.date.available2021-02-18T08:47:44Z-
dc.date.issued2019-
dc.identifier.urihttps://openscholar.ump.ac.za/handle/20.500.12714/211-
dc.descriptionPlease note that only UMP researchers are shown in the metadata. To access the co-authors, please view the full text.en_US
dc.description.abstractFew studies have investigated the factors that influence roadkill occurrence in developing countries. In 2013, we monitored a 100‐km section of the road (comprising the R572 and R521 regional highways and the D2662) that pass through the Greater Mapungubwe Transfrontier Conservation Area in South Africa, to assess the possible factors influencing roadkill. Over a period of 120 days, and across the three ecological seasons, we recorded 981 roadkills (rate = 0.08 roadkill/km/day) from four vertebrate taxonomic groups. We generated predictive models of roadkill from one combined data set that considered eight variables identified from the literature as potential correlates of roadkill. The model that included the distance of the fence from the road, habitat type adjacent to the road, and the presence of a hill in the road (i.e., elevation) or a bank on the side of the road best explained roadkill occurrence. More roadkill was predicted to occur in both open and dense mopane and dense mixed bushveld habitats, on a hill, when there was a bank on the side of the road, and as the distance between the road verge and a fence decreased. Our model provides some insight into the significant predictors of roadkill occurrence and is therefore a valuable tool in identifying sites of high‐potential roadkill frequency and formulating mitigation measures for reducing road mortalities.en_US
dc.language.isoenen_US
dc.publisherWileyen_US
dc.relationBridgestone South Africaen_US
dc.relationE. Oppenheimer and Sonen_US
dc.subjectWildlife–vehicle collision.en_US
dc.subjectRoad ecology.en_US
dc.subjectPredictive model.en_US
dc.subjectFence type.en_US
dc.subjectBiodiversity.en_US
dc.titleFactors influencing the spatial patterns of vertebrate roadkill in South Africa : the Greater Mapungubwe Transfrontier Conservation Area as a case study.en_US
dc.typejournal articleen_US
dc.identifier.doi10.1111/aje.12628-
dc.contributor.affiliationSchool of Biology and Environmental Sciencesen_US
dc.relation.issn1365-2028en_US
dc.description.volume57en_US
dc.description.issue4en_US
dc.description.startpage552en_US
dc.description.endpage564en_US
dc.relation.grantnoDe Beers Group of Companiesen_US
dc.relation.grantnoEndangered Wildlife Trust.en_US
item.openairecristypehttp://purl.org/coar/resource_type/c_6501-
item.fulltextWith Fulltext-
item.cerifentitytypePublications-
item.openairetypejournal article-
item.languageiso639-1en-
item.grantfulltextopen-
crisitem.author.deptSchool of Biology and Environmental Sciences-
Appears in Collections:Journal articles
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