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dc.contributor.authorBowler, DIana E.
dc.contributor.authorNilsen, Erlend B.
dc.contributor.authorBischof, Richard
dc.contributor.authorO'Hara, Robert B.
dc.contributor.authorYu, Thin Thin
dc.contributor.authorOo, Tun
dc.contributor.authorAug, Myint
dc.contributor.authorLinnell, John D.C.
dc.date.accessioned2019-05-29T11:54:02Z
dc.date.available2019-05-29T11:54:02Z
dc.date.issued2019
dc.identifier.issn2045-2322
dc.identifier.urihttp://hdl.handle.net/11250/2599428
dc.description.abstractDespite its value for conservation decision-making, we lack information on population abundances for most species. Because establishing large-scale monitoring schemes is rarely feasible, statistical methods that combine multiple data sources are promising approaches to maximize use of available information. We built a Bayesian hierarchical model that combined different survey data of the endangered Eld’s deer in Shwesettaw Wildlife Sanctuary (SWS) in Myanmar and tested our approach in simulation experiments. We combined spatially-restricted line-transect abundance data with more spatially-extensive camera-trap occupancy data to enable estimation of the total deer abundance. The integrated model comprised an ecological model (common to both survey types, based on the equivalence between cloglog-transformed occurrence probability and log-transformed expected abundance) and separate observation models for each survey type. We estimated that the population size of Eld’s deer in SWS is c. 1519 (1061–2114), suggesting it is the world’s largest wild population. The simulations indicated that the potential benefits of combining data include increased precision and better sampling of the spatial variation in the environment, compared to separate analysis of each survey. Our analytical approach, which integrates the strengths of different survey methods, has widespread application for estimating species’ abundances, especially in information-poor regions of the world.nb_NO
dc.language.isoengnb_NO
dc.rightsNavngivelse 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/deed.no*
dc.titleIntegrating data from different survey types for population monitoring of an endangered species: the case of the Eld’s deernb_NO
dc.typePeer reviewednb_NO
dc.typeJournal article
dc.rights.holder© The Author(s) 2019nb_NO
dc.subject.nsiVDP::Matematikk og Naturvitenskap: 400::Zoologiske og botaniske fag: 480nb_NO
dc.source.journalScientific Reportsnb_NO
dc.identifier.doi10.1038/s41598-019-44075-9
dc.identifier.cristin1700867


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Navngivelse 4.0 Internasjonal
Except where otherwise noted, this item's license is described as Navngivelse 4.0 Internasjonal