Please use this identifier to cite or link to this item: https://repositorio.inpa.gov.br/handle/1/14653
Title: Visual encounters on line transect surveys under-detect carnivore species: Implications for assessing distribution and conservation status
Authors: Fragoso, José Manuel Vieira
Gonçalves, Fernando Henrique
Oliveira, Luiz Flamarion Barbosa
Overman, Han
Levi, Taal
Silvius, Kirsten M.
Keywords: Carnivore
Dog
Guyana
Jaguar
Mustelidae
Nonhuman
Rare Species
Animals
Carnivora
Ecosystem
Environmental Protection
Questionnaires
Animalss
Carnivora
Conservation Of Natural Resources
Ecosystem
Surveys And Questionnaires
Issue Date: 2019
metadata.dc.publisher.journal: PLoS ONE
metadata.dc.relation.ispartof: Volume 14, Número 10
Abstract: We compared the distribution and occurrence of 15 carnivore species with data collected monthly over three years by trained native trackers using both sign surveys and an encounter-based, visual-distance method in a well-preserved region of southern Guyana (Amazon / Guiana Shield). We found that a rigorously applied sign-based method was sufficient to describe the status of most carnivore species populations, including rare species such as jaguar and bush dog. We also found that even when accumulation curves for direct visual encounter data reached an asymptote, customarily an indication that sufficient sampling has occurred to describe populations, animal occurrence and distribution were grossly underestimated relative to the results of sign data. While other researchers have also found that sign are better than encounters or camera traps for large felids, our results are important in documenting the failure of even intensive levels of effort to raise encounter rates sufficiently to enable statistical analysis, and in describing the relationship between encounter and sign data for an entire community of carnivores including felids, canids, procyonids, and mustelids. © Copyright: © 2019 Fragoso et al. This 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.
metadata.dc.identifier.doi: 10.1371/journal.pone.0223922
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