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dc.contributor.authorMadsen, Emily K.
dc.contributor.authorElliot, Nicholas B.
dc.contributor.authorMjingo, Ernest E.
dc.contributor.authorMasenga, Emmanuel H.
dc.contributor.authorJackson, Craig Ryan
dc.contributor.authorMay, Roelof Frans
dc.contributor.authorRøskaft, Eivin
dc.contributor.authorBroekhuis, Femke
dc.date.accessioned2020-08-28T06:50:25Z
dc.date.available2020-08-28T06:50:25Z
dc.date.created2020-08-06T08:34:10Z
dc.date.issued2020
dc.identifier.issn1470-160X
dc.identifier.urihttps://hdl.handle.net/11250/2675433
dc.description.abstractUnderstanding habitat preferences and distribution of threatened species is a cornerstone of conservation, however many of the techniques available can be resource intensive. One cost-effective method is by collecting information on species presence and absence from people who regularly interact with the area of interest, also known as Local Ecological Knowledge (LEK). However, the reliability of this type of data has been questioned, especially when there is a possibility that the focal species is being misidentified or their presence misreported. This can introduce false negatives, when a species is present but has not been reported, and false positives, when the species has been reported but is not present. These biases are not always accounted for which can result in the under- or overestimation of species presence. To better understand the reliability of LEK data, we compared the outputs of five different analytical techniques to that of a more widely accepted approach, resource selection functions (RSF), using GPS-collar data from three different carnivore species (African lion Panthera leo, cheetah Acinonyx jubatus and African wild dog Lycaon pictus). Hierarchical models which accounted for the possibilities of both false negatives and false positives most closely matched that of the RSFs, especially for the two rarer species; African wild dog and cheetah. Our results show that when both false negatives and false positives are accounted for that LEK can be used as a rapid and cost-efficient tool for assessing threatened species which can be adopted into practical conservation projects. Carnivores Detection probability False positives GPS telemetry data Interview survey Occupancy models Species distributionen_US
dc.language.isoengen_US
dc.publisherElsevieren_US
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/deed.no*
dc.titleEvaluating the use of local ecological knowledge (LEK) in determining habitat preference and occurrence of multiple large carnivoresen_US
dc.typePeer revieweden_US
dc.typeJournal articleen_US
dc.description.versionacceptedVersionen_US
dc.subject.nsiVDP::Økologi: 488en_US
dc.subject.nsiVDP::Ecology: 488en_US
dc.source.volume118en_US
dc.source.journalEcological Indicatorsen_US
dc.identifier.doi10.1016/j.ecolind.2020.106737
dc.identifier.cristin1821941
dc.relation.projectEC/H2020/641918 (AfricanBioServices)en_US
dc.description.localcode© 2020. This is the authors’ accepted and refereed manuscript to the article. Locked until 24.07.2021 due to copyright restrictions. This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/en_US
cristin.ispublishedtrue
cristin.fulltextpostprint
cristin.qualitycode1


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Attribution-NonCommercial-NoDerivatives 4.0 Internasjonal
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