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(Reference retrieved automatically from Web of Science through information on FAPESP grant and its corresponding number as mentioned in the publication by the authors.)

Incorporating the sampling effectiveness of detection dogs in the faecal standing crop method

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Author(s):
Da Silva, Amanda R. [1] ; De Oliveira, Marcio L. [1] ; Duarte, Jose M. B. [1]
Total Authors: 3
Affiliation:
[1] Sao Paulo State Univ UNESP, Deer Res & Conservat Ctr, Campus Jaboticabal, Sao Paulo - Brazil
Total Affiliations: 1
Document type: Journal article
Source: EUROPEAN JOURNAL OF WILDLIFE RESEARCH; v. 66, n. 4 JUN 4 2020.
Web of Science Citations: 0
Abstract

Evaluating the population status of elusive and rare species is a challenge for wildlife managers and conservationists. A promising method that has been used is faecal pellet counting applied to the faecal standing crop (FSC) method. The FSC method estimates population density based on faecal pellets counted in a given area by using parameters such as defecation rate and faecal persistence, which vary according to the environment. The search for faeces has become more effective with the help of scat detection dogs, which have a better detection rate compared to humans. Therefore, we aimed to incorporate the sampling effectiveness of scat detection dogs as parameters in FSC methods. For this purpose, two experiments were conducted to evaluate the detectability of Mazama faeces related to their distance from a search transect and their age (time since deposition). Our results show that incorporating scat detection dog parameters can result in density estimates three times higher than those reached without incorporating the detection dog parameters in FSC methods. (AU)

FAPESP's process: 17/00331-8 - Parameters for population estimates of deer of the genus Mazama
Grantee:Amanda Rosa da Silva
Support Opportunities: Scholarships in Brazil - Scientific Initiation
FAPESP's process: 15/25742-5 - Distribution and density of Mazama genus deer species at the Atlantic Forest
Grantee:Márcio Leite de Oliveira
Support Opportunities: Scholarships in Brazil - Post-Doctoral