English   español  
Please use this identifier to cite or link to this item: http://hdl.handle.net/10261/215584
Share/Impact:
Statistics
logo share SHARE logo core CORE   Add this article to your Mendeley library MendeleyBASE

Visualizar otros formatos: MARC | Dublin Core | RDF | ORE | MODS | METS | DIDL
Exportar a otros formatos:

DC FieldValueLanguage
dc.contributor.authorJiménez, Josées_ES
dc.contributor.authorChandler, Richardes_ES
dc.contributor.authorTobajas, Jorgees_ES
dc.contributor.authorDescalzo, Estheres_ES
dc.contributor.authorMateo, Rafaeles_ES
dc.contributor.authorFerreras, Pabloes_ES
dc.date.accessioned2020-06-30T10:11:23Z-
dc.date.available2020-06-30T10:11:23Z-
dc.date.issued2019-
dc.identifier.citationEcology and Evolution 9(8): 4739-4748 (2019)es_ES
dc.identifier.urihttp://hdl.handle.net/10261/215584-
dc.description.abstractThe estimation of abundance of wildlife populations is an essential part of ecological research and monitoring. Spatially explicit capture–recapture (SCR) models are widely used for abundance and density estimation, frequently through individual identification of target species using camera‐trap sampling. Generalized spatial mark–resight (Gen‐SMR) is a recently developed SCR extension that allows for abundance estimation when only a subset of the population is recognizable by artificial or natural marks. However, in many cases, it is not possible to read the marks in camera‐trap pictures, even though individuals can be recognized as marked. We present a new extension of Gen‐SMR that allows for this type of incomplete identification. We used simulation to assess how the number of marked individuals and the individual identification rate influenced bias and precision. We demonstrate the model's performance in estimating red fox (Vulpes vulpes ) density with two empirical datasets characterized by contrasting densities and rates of identification of marked individuals. According to the simulations, accuracy increases with the number of marked individuals (m ), but is less sensitive to changes in individual identification rate (δ). In our case studies of red fox density estimation, we obtained a posterior mean of 1.60 (standard deviation SD: 0.32) and 0.28 (SD : 0.06) individuals/km2, in high and low density, with an identification rate of 0.21 and 0.91, respectively. This extension of Gen‐SMR is broadly applicable as it addresses the common problem of incomplete identification of marked individuals during resighting surveys.es_ES
dc.description.sponsorshipThis study is a result of CGL2013–40975‐R project, from I+D+I National Plan funded by the Spanish Ministry of Economy and Competitiveness.es_ES
dc.language.isoenges_ES
dc.publisherJohn Wiley & Sonses_ES
dc.relationMINECO/ICTI2013-2016/CGL2013-40975-Res_ES
dc.relation.isversionofPublisher's versiones_ES
dc.rightsopenAccesses_ES
dc.titleGeneralized spatial mark–resight models with incomplete identification: An application to red fox density estimateses_ES
dc.typeartículoes_ES
dc.identifier.doi10.1002/ece3.5077-
dc.description.peerreviewedPeer reviewedes_ES
dc.relation.publisherversionhttps://doi.org/10.1002/ece3.5077es_ES
dc.identifier.e-issn2045-7758-
dc.contributor.funderMinisterio de Economía y Competitividad (España)es_ES
dc.relation.csices_ES
oprm.item.hasRevisionno ko 0 false*
dc.identifier.funderhttp://dx.doi.org/10.13039/501100003329es_ES
dc.contributor.orcidJiménez, José [0000-0003-0607-6973]es_ES
dc.contributor.orcidTobajas, Jorge [0000-0002-8329-8265]es_ES
dc.contributor.orcidMateo, Rafael [0000-0003-1307-9152]es_ES
dc.contributor.orcidFerreras, Pablo [0000-0002-1116-6706]es_ES
Appears in Collections:(IREC) Artículos
Files in This Item:
File Description SizeFormat 
genestimate.pdf1,21 MBAdobe PDFThumbnail
View/Open
Show simple item record
 

Related articles:


WARNING: Items in Digital.CSIC are protected by copyright, with all rights reserved, unless otherwise indicated.