Revisiting the effect of capture heterogeneity on survival estimates in capture-mark-recapture studies: does it matter?

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dc.contributor.authorAbadi, Fitsumen_ZA
dc.contributor.authorBotha, Andreen_ZA
dc.contributor.authorAltwegg, Resen_ZA
dc.date.accessioned2015-11-16T04:10:24Z
dc.date.available2015-11-16T04:10:24Z
dc.date.issued2013en_ZA
dc.description.abstractRecently developed capture-mark-recapture methods allow us to account for capture heterogeneity among individuals in the form of discrete mixtures and continuous individual random effects. In this article, we used simulations and two case studies to evaluate the effectiveness of continuously distributed individual random effects at removing potential bias due to capture heterogeneity, and to evaluate in what situation the added complexity of these models is justified. Simulations and case studies showed that ignoring individual capture heterogeneity generally led to a small negative bias in survival estimates and that individual random effects effectively removed this bias. As expected, accounting for capture heterogeneity also led to slightly less precise survival estimates. Our case studies also showed that accounting for capture heterogeneity increased in importance towards the end of study. Though ignoring capture heterogeneity led to a small bias in survival estimates, such bias may greatly impact management decisions. We advocate reducing potential heterogeneity at the sampling design stage. Where this is insufficient, we recommend modelling individual capture heterogeneity in situations such as when a large proportion of the individuals has a low detection probability (e.g. in the presence of floaters) and situations where the most recent survival estimates are of great interest (e.g. in applied conservation).en_ZA
dc.identifier.apacitationAbadi, F., Botha, A., & Altwegg, R. (2013). Revisiting the effect of capture heterogeneity on survival estimates in capture-mark-recapture studies: does it matter?. <i>PLoS One</i>, http://hdl.handle.net/11427/15009en_ZA
dc.identifier.chicagocitationAbadi, Fitsum, Andre Botha, and Res Altwegg "Revisiting the effect of capture heterogeneity on survival estimates in capture-mark-recapture studies: does it matter?." <i>PLoS One</i> (2013) http://hdl.handle.net/11427/15009en_ZA
dc.identifier.citationAbadi, F., Botha, A., & Altwegg, R. (2012). Revisiting the effect of capture heterogeneity on survival estimates in capture-mark-recapture studies: does it matter?. PloS one, 8(4), e62636. doi:10.1371/journal.pone.0062636en_ZA
dc.identifier.ris TY - Journal Article AU - Abadi, Fitsum AU - Botha, Andre AU - Altwegg, Res AB - Recently developed capture-mark-recapture methods allow us to account for capture heterogeneity among individuals in the form of discrete mixtures and continuous individual random effects. In this article, we used simulations and two case studies to evaluate the effectiveness of continuously distributed individual random effects at removing potential bias due to capture heterogeneity, and to evaluate in what situation the added complexity of these models is justified. Simulations and case studies showed that ignoring individual capture heterogeneity generally led to a small negative bias in survival estimates and that individual random effects effectively removed this bias. As expected, accounting for capture heterogeneity also led to slightly less precise survival estimates. Our case studies also showed that accounting for capture heterogeneity increased in importance towards the end of study. Though ignoring capture heterogeneity led to a small bias in survival estimates, such bias may greatly impact management decisions. We advocate reducing potential heterogeneity at the sampling design stage. Where this is insufficient, we recommend modelling individual capture heterogeneity in situations such as when a large proportion of the individuals has a low detection probability (e.g. in the presence of floaters) and situations where the most recent survival estimates are of great interest (e.g. in applied conservation). DA - 2013 DB - OpenUCT DO - 10.1371/journal.pone.0062636 DP - University of Cape Town J1 - PLoS One LK - https://open.uct.ac.za PB - University of Cape Town PY - 2013 T1 - Revisiting the effect of capture heterogeneity on survival estimates in capture-mark-recapture studies: does it matter? TI - Revisiting the effect of capture heterogeneity on survival estimates in capture-mark-recapture studies: does it matter? UR - http://hdl.handle.net/11427/15009 ER - en_ZA
dc.identifier.urihttp://hdl.handle.net/11427/15009
dc.identifier.urihttp://dx.doi.org/10.1371/journal.pone.0062636
dc.identifier.vancouvercitationAbadi F, Botha A, Altwegg R. Revisiting the effect of capture heterogeneity on survival estimates in capture-mark-recapture studies: does it matter?. PLoS One. 2013; http://hdl.handle.net/11427/15009.en_ZA
dc.language.isoengen_ZA
dc.publisherPublic Library of Scienceen_ZA
dc.publisher.departmentAnimal Demography Unit (ADU)en_ZA
dc.publisher.facultyFaculty of Scienceen_ZA
dc.publisher.institutionUniversity of Cape Town
dc.rightsThis is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.en_ZA
dc.rights.holder© 2013 Abadi et alen_ZA
dc.rights.urihttp://creativecommons.org/licenses/by/4.0en_ZA
dc.sourcePLoS Oneen_ZA
dc.source.urihttp://journals.plos.org/plosoneen_ZA
dc.subject.otherPenguinsen_ZA
dc.subject.otherBirdsen_ZA
dc.subject.otherProbability distributionen_ZA
dc.subject.otherSimulation and modelingen_ZA
dc.subject.otherConfidence intervalsen_ZA
dc.subject.otherWildlifeen_ZA
dc.subject.otherMixturesen_ZA
dc.subject.otherStainless steelen_ZA
dc.titleRevisiting the effect of capture heterogeneity on survival estimates in capture-mark-recapture studies: does it matter?en_ZA
dc.typeJournal Articleen_ZA
uct.type.filetypeText
uct.type.filetypeImage
uct.type.publicationResearchen_ZA
uct.type.resourceArticleen_ZA
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