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Publicação:
Giant Anteater Population Density Estimation and Viability Analysis Through Motion-Sensitive Camera Records

dc.contributor.authorBertassoni, Alessandra
dc.contributor.authorBianchi, Rita de Cassia [UNESP]
dc.contributor.authorDesbiez, Arnaud Leonard Jean
dc.contributor.institutionUniversidade Federal de Goiás (UFG)
dc.contributor.institutionUniversidade Estadual Paulista (UNESP)
dc.contributor.institutionInstituto de Conservação de Animais Silvestres
dc.date.accessioned2022-05-01T08:45:01Z
dc.date.available2022-05-01T08:45:01Z
dc.date.issued2021-11-01
dc.description.abstractGiant anteater (Myrmecophaga tridactyla) populations are decreasing throughout their range. We tested a methodology for individual identification using camera records and fur patterns to estimate the giant anteater population in a protected area of the Brazilian Cerrado. We identified 9 adult individuals and successfully modeled population abundance and density. Our models estimated an adult population of 16.8 (range = 15–19) giant anteaters through a mark-resight approach and 12.5 individuals (range = 9.7–25.5) through a spatially explicit capture-recapture approach. Density estimates were 0.3–0.4 animals/km2. Using these estimates, we performed a population viability analysis to understand and predict this population's future. We modeled scenarios without direct effects and models simulating a double carrying capacity and the supplementation and removal of individuals. Even in the more optimistic scenarios, the population is predicted to decreases over time, with ≤8 individuals remaining in 100 years. Given the study area surroundings, realistic models include removals of giant anteaters in the population. Identification of giant anteaters using cameras can inspire conservationists to acquire population data throughout its distribution and obtain population trends to evaluate the species' conservation status. Individual identification of giant anteaters using a motion-sensitive camera design is feasible, opens new avenues for population analyses, and allows the study of population trends in difficult regions. © 2021 The Wildlife Society.en
dc.description.affiliationPrograma de Pós-Graduação em Ecologia e Evolução Universidade Federal de Goiás Câmpus Samambaia
dc.description.affiliationPrograma de Pós-Graduação em Biodiversidade Universidade Estadual Paulista (UNESP) Instituto de Biociências Letras e Ciências Exatas
dc.description.affiliationInstituto de Conservação de Animais Silvestres, 142 Afonso Lino Barbosa
dc.description.affiliationUnespPrograma de Pós-Graduação em Biodiversidade Universidade Estadual Paulista (UNESP) Instituto de Biociências Letras e Ciências Exatas
dc.description.sponsorshipFundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)
dc.description.sponsorshipIdFAPESP: 2013/04957-8
dc.description.sponsorshipIdFAPESP: 2013/18526-9
dc.format.extent1554-1562
dc.identifierhttp://dx.doi.org/10.1002/jwmg.22123
dc.identifier.citationJournal of Wildlife Management, v. 85, n. 8, p. 1554-1562, 2021.
dc.identifier.doi10.1002/jwmg.22123
dc.identifier.issn1937-2817
dc.identifier.issn0022-541X
dc.identifier.scopus2-s2.0-85114165290
dc.identifier.urihttp://hdl.handle.net/11449/233471
dc.language.isoeng
dc.relation.ispartofJournal of Wildlife Management
dc.sourceScopus
dc.subjectabundance
dc.subjectcamera
dc.subjectCerrado
dc.subjectdensity
dc.subjectgiant anteater
dc.subjectMyrmecophaga tridactyla
dc.subjectpopulation
dc.subjectSECR
dc.subjectspatially explicit capture-recapture
dc.titleGiant Anteater Population Density Estimation and Viability Analysis Through Motion-Sensitive Camera Recordsen
dc.typeArtigo
dspace.entity.typePublication
unesp.author.orcid0000-0002-4806-579X[1]
unesp.author.orcid0000-0001-8027-755X[2]
unesp.author.orcid0000-0001-5968-6025[3]
unesp.departmentBiologia - FCAVpt

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