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Giant Anteater Population Density Estimation and Viability Analysis Through Motion‐Sensitive Camera Records

Authors :
Arnaud Leonard Jean Desbiez
Rita de Cassia Bianchi
Alessandra Bertassoni
Universidade Federal de Goiás (UFG)
Universidade Estadual Paulista (UNESP)
Instituto de Conservação de Animais Silvestres
Source :
Scopus, Repositório Institucional da UNESP, Universidade Estadual Paulista (UNESP), instacron:UNESP
Publication Year :
2021
Publisher :
Wiley, 2021.

Abstract

Made available in DSpace on 2022-05-01T08:45:01Z (GMT). No. of bitstreams: 0 Previous issue date: 2021-11-01 Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP) Giant 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. Programa de Pós-Graduação em Ecologia e Evolução Universidade Federal de Goiás Câmpus Samambaia Programa de Pós-Graduação em Biodiversidade Universidade Estadual Paulista (UNESP) Instituto de Biociências Letras e Ciências Exatas Instituto de Conservação de Animais Silvestres, 142 Afonso Lino Barbosa Programa de Pós-Graduação em Biodiversidade Universidade Estadual Paulista (UNESP) Instituto de Biociências Letras e Ciências Exatas FAPESP: 2013/04957-8 FAPESP: 2013/18526-9

Details

ISSN :
19372817 and 0022541X
Volume :
85
Database :
OpenAIRE
Journal :
The Journal of Wildlife Management
Accession number :
edsair.doi.dedup.....526048fa83fcba9eca264305d4ad53c0
Full Text :
https://doi.org/10.1002/jwmg.22123