Please use this identifier to cite or link to this item: http://hdl.handle.net/1893/32498
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dc.contributor.authorLaguardia, Aliceen_UK
dc.contributor.authorGobush, Kathleen Sen_UK
dc.contributor.authorBourgeois, Stephanieen_UK
dc.contributor.authorStrindberg, Samanthaen_UK
dc.contributor.authorAbitsi, Gasparden_UK
dc.contributor.authorEbouta, Fabriceen_UK
dc.contributor.authorFay, J Michaelen_UK
dc.contributor.authorGopalaswamy, Arjunen_UK
dc.contributor.authorMaisels, Fionaen_UK
dc.contributor.authorOgden, Roben_UK
dc.contributor.authorWhite, Lee J Ten_UK
dc.contributor.authorStokes, Emma Jen_UK
dc.date.accessioned2021-04-08T00:02:01Z-
dc.date.available2021-04-08T00:02:01Z-
dc.date.issued2021-06en_UK
dc.identifier.othere01550en_UK
dc.identifier.urihttp://hdl.handle.net/1893/32498-
dc.description.abstractEffective wildlife management requires information on population status and distribution. Survey methods that provide estimates of these population parameters can vary greatly in effort required, area covered, precision of estimates, and cost. Trade-offs are required, because increasing precision and area coverage generally requires increasing field effort and incurs a higher cost. We compare DNA- and camera trap based-spatial capture-recapture approaches (DNA-SCR and CT-SCR) to the widely-used, dung-based line transect distance sampling (LTDS) method to assess their performance when applied to three relatively large populations of forest elephant Loxodonta cyclotis (>500 individuals), in order to evaluate their feasibility for future use at national and regional scales. Six of the nine surveys had a coefficient of variation below 20%; area coverage via DNA-SCR and LTDS was comparable and greatly exceeded that of the CT-SCR as applied; overall cost was highest for the LTDS surveys compared to the other two methods. We designed a new metric with which to compare survey methods: an integrated feasibility index (IFI). This combines three typical survey components: total area covered, level of precision achieved, and cost. The IFI suggests that DNA-SCR and LTDS are equally acceptable in terms of the combination of the three survey components, and that either survey method is suitable for large (national or regional) spatial scales for forest elephant density estimation. CT-SCR provides more precise estimates, but has double the IFI, due to the high cost per km2. DNA-SCR in particular, given the improvements highlighted in this study, is now being used at a national scale in Gabon. In conclusion, we recommend that the use of these spatial capture-recapture (SCR) methods, and their development, continue. Future findings and improvements should be compiled across studies to ensure their robust evolution as an option for monitoring the African forest elephant across its range and inform strategies and action for its conservation.en_UK
dc.language.isoenen_UK
dc.publisherElsevier BVen_UK
dc.relationLaguardia A, Gobush KS, Bourgeois S, Strindberg S, Abitsi G, Ebouta F, Fay JM, Gopalaswamy A, Maisels F, Ogden R, White LJT & Stokes EJ (2021) Assessing the feasibility of density estimation methodologies for African forest elephant at large spatial scales. Global Ecology and Conservation, 27, Art. No.: e01550. https://doi.org/10.1016/j.gecco.2021.e01550en_UK
dc.rightsThis article is available under the Creative Commons CC-BY-NC-ND license (https://creativecommons.org/licenses/by-nc-nd/4.0/) and permits non-commercial use of the work as published, without adaptation or alteration provided the work is fully attributed. For commercial reuse, permission must be requested.en_UK
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/en_UK
dc.subjectAbundance estimateen_UK
dc.subjectCamera trapen_UK
dc.subjectDensity estimationen_UK
dc.subjectGabonen_UK
dc.subjectSurvey methodsen_UK
dc.subjectLine transect surveyen_UK
dc.subjectAfricaen_UK
dc.subjectLoxodonta cyclotisen_UK
dc.subjectMonitoringen_UK
dc.subjectNon-invasive genetic samplingen_UK
dc.subjectDNAen_UK
dc.subjectSpatial capture-recaptureen_UK
dc.titleAssessing the feasibility of density estimation methodologies for African forest elephant at large spatial scalesen_UK
dc.typeJournal Articleen_UK
dc.identifier.doi10.1016/j.gecco.2021.e01550en_UK
dc.citation.jtitleGlobal Ecology and Conservationen_UK
dc.citation.issn2351-9894en_UK
dc.citation.issn2351-9894en_UK
dc.citation.volume27en_UK
dc.citation.publicationstatusPublisheden_UK
dc.citation.peerreviewedRefereeden_UK
dc.type.statusVoR - Version of Recorden_UK
dc.contributor.funderVulcanen_UK
dc.citation.date26/03/2021en_UK
dc.contributor.affiliationWildlife Conservation Societyen_UK
dc.contributor.affiliationUniversity of Washingtonen_UK
dc.contributor.affiliationAgence Nationale des Parcs Nationaux (ANPN)en_UK
dc.contributor.affiliationWildlife Conservation Societyen_UK
dc.contributor.affiliationWildlife Conservation Societyen_UK
dc.contributor.affiliationWildlife Conservation Societyen_UK
dc.contributor.affiliationAgence Nationale des Parcs Nationaux (ANPN)en_UK
dc.contributor.affiliationWildlife Conservation Societyen_UK
dc.contributor.affiliationWildlife Conservation Societyen_UK
dc.contributor.affiliationTRACE Wildlife Forensics Networken_UK
dc.contributor.affiliationAgence Nationale des Parcs Nationauxen_UK
dc.contributor.affiliationWildlife Conservation Societyen_UK
dc.identifier.wtid1719442en_UK
dc.contributor.orcid0000-0002-0778-0615en_UK
dc.date.accepted2021-03-18en_UK
dc.date.filedepositdate2021-04-07en_UK
Appears in Collections:Biological and Environmental Sciences Journal Articles

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