Strengthening Population Inference in Herpetofaunal Studies by Addressing Detection Probability

dc.creatorGuimaraes, M
dc.creatorDoherty, PF
dc.creatorMunguia-Steyer, R
dc.date2014
dc.dateAPR
dc.date2014-07-31T14:12:14Z
dc.date2015-11-26T16:31:51Z
dc.date2014-07-31T14:12:14Z
dc.date2015-11-26T16:31:51Z
dc.date.accessioned2018-03-28T23:13:06Z
dc.date.available2018-03-28T23:13:06Z
dc.identifierSouth American Journal Of Herpetology. Soc Brasileira Herpetologia, v. 9, n. 1, n. 1, n. 8, 2014.
dc.identifier1808-9798
dc.identifierWOS:000336242800001
dc.identifier10.2994/SAJH-D-13-00020.1
dc.identifierhttp://www.repositorio.unicamp.br/jspui/handle/REPOSIP/75168
dc.identifierhttp://repositorio.unicamp.br/jspui/handle/REPOSIP/75168
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/1270324
dc.descriptionConselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)
dc.descriptionCoordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
dc.descriptionIn conservation biology and population dynamic studies, accounting for the effect of imperfect detection of animals in the wild is crucial for correct inference of demographic parameters. However, articles published in South American herpetological journals still report estimates without considering how detection can influence estimates of vital rates, assuming that detection probability is perfect (i.e., 100%) and constant. Using data from a population of the torrent frog, Hylodes asper, we calculate return rates and compare them with survival probability estimates adjusted for detection probability to highlight the discrepancies between the two metrics. Then, using power analysis, we also explore how survival is underestimated, considering different scenarios and sampling efforts, given low detectability. Finally, we provide information on the optimal number of surveys to achieve a reasonable precision, assuming a fixed number of individuals initially captured for a series of parameter values. Ignoring potential bias of uncorrected estimates may lead to weak inference and erroneous decisions for management and conservation. We recommend that researchers consider detection probability in their studies to improve the accuracy of population estimates.
dc.description9
dc.description1
dc.description1
dc.description8
dc.descriptionConselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)
dc.descriptionCoordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
dc.descriptionConselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)
dc.descriptionCoordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
dc.descriptionCNPq [140684/20093]
dc.descriptionCAPES [2296/110]
dc.languageen
dc.publisherSoc Brasileira Herpetologia
dc.publisherSao Paulo
dc.publisherBrasil
dc.relationSouth American Journal Of Herpetology
dc.relationSouth Am. J. Herpetol.
dc.rightsfechado
dc.sourceWeb of Science
dc.subjectAmphibians
dc.subjectDetectability
dc.subjectMark-recapture
dc.subjectPopulation dynamics
dc.subjectReptiles
dc.subjectSurvival probability
dc.subjectCapture-recapture Data
dc.subjectMarked Animals
dc.subjectEstimating Survival
dc.subjectHylodes-asper
dc.subjectCounts
dc.subjectFrog
dc.subjectLeptodactylidae
dc.subjectDetectability
dc.subjectHypotheses
dc.subjectAmphibians
dc.titleStrengthening Population Inference in Herpetofaunal Studies by Addressing Detection Probability
dc.typeArtículos de revistas


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