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dc.contributor.authorBarends, Jody M.
dc.contributor.authorPietersen, Darren William
dc.contributor.authorZambatis, Guinevere
dc.date.accessioned2021-01-22T10:45:23Z
dc.date.available2021-01-22T10:45:23Z
dc.date.issued2020
dc.identifier.citationBarends, J. M. et al. (2020). Sampling bias in reptile occurrence data for the Kruger National Park. Koedoe ,62(1),a1579en_US
dc.identifier.issn2071-0771
dc.identifier.uri10.4102/koedoe.v62i1.1579
dc.identifier.urihttp://hdl.handle.net/10566/5731
dc.description.abstractTo effectively conserve and manage species, it is important to (1) understand how they are spatially distributed across the globe at both broad and fine spatial resolutions and (2) elucidate the determinants of these distributions. However, information pertaining to the distributions of many species remains poor as occurrence data are often scarce or collected with varying motivations, making the resulting patterns susceptible to sampling bias. Exacerbating an already limited quantity of occurrence data with an assortment of biases hinders their effectiveness for research, thus making it important to identify and understand the biases present within species occurrence data sets. We quantitatively assessed occurrence records of 126 reptile species occurring in the Kruger National Park (KNP), South Africa, to quantify the severity of sampling bias within this data set. We collated a data set of 7118 occurrence records from museum, literature and citizen science sources and analysed these at a biologically relevant spatial resolution of 1 km × 1 km. As a result of logistical challenges associated with sampling in KNP, approximately 92% of KNP is data deficient for reptile occurrences at the 1 km × 1 km resolution. Additionally, the spatial coverage of available occurrences varied at species and family levels, and the majority of occurrence records were strongly associated with publicly accessible human infrastructure. Furthermore, we found that sampled areas within KNP were not necessarily ecologically representative of KNP as a whole, suggesting that areas of unique environmental space remain to be sampled. Our findings highlight the need for substantially greater sampling effort for reptiles across KNP and emphasise the need to carefully consider the sampling biases within existing data should these be used for conservation management decision-making. Modelling species distributions could potentially serve as a short-term solution, but a concomitant increase in surveys across the park is needed.en_US
dc.language.isoenen_US
dc.publisherOpenJournals Publishing AOSIS (Pty) Ltden_US
dc.subjectConservation managementen_US
dc.subjectKruger National Parken_US
dc.subjectOccurrence dataen_US
dc.subjectReptile faunaen_US
dc.subjectSampling biasen_US
dc.titleSampling bias in reptile occurrence data for the Kruger National Parken_US
dc.typeArticleen_US


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