Use este identificador para citar ou linkar para este item: https://repositorio.inpa.gov.br/handle/1/14685
Título: Ocelot (Leopardus pardalis) density in Central Amazonia
Autor: Rocha, Daniel Gomes da
Sollmann, Rahel
Ramalho, Emiliano Esterci
Ilha, Renata
Tan, Cedric Kai Wei
Palavras-chave: Rain
Comparative Study
Controlled Study
Dry Season
Environmental Factor
Female
Geographic Distribution
Latitude
Male
Nonbiological Model
Nonhuman
Ocelot
Population Density
Population Distribution
Population Size
Season
Spatial Capture Recapture Model
Animals
Felidae
Health Survey
Animalss
Felidae
Population Density
Population Surveillance
Data do documento: 2016
Revista: PLoS ONE
É parte de: Volume 11, Número 5
Abstract: Ocelots (Leopardus pardalis) are presumed to be the most abundant of the wild cats throughout their distribution range and to play an important role in the dynamics of sympatric small-felid populations. However, ocelot ecological information is limited, particularly for the Amazon. We conducted three camera-trap surveys during three consecutive dry seasons to estimate ocelot density in Amanã Reserve, Central Amazonia, Brazil. We implemented a spatial capture-recapture (SCR) model that shared detection parameters among surveys. A total effort of 7020 camera-trap days resulted in 93 independent ocelot records. The estimate of ocelot density in Amanã Reserve (24.84 ± SE 6.27 ocelots per 100 km2) was lower than at other sites in the Amazon and also lower than that expected from a correlation of density with latitude and rainfall. We also discuss the importance of using common parameters for survey scenarios with low recapture rates. This is the first density estimate for ocelots in the Brazilian Amazon, which is an important stronghold for the species. © 2016, Public Library of Science. All rights reserved. This is an open access article, free of all copyright, and may be freely reproduced, distributed, transmitted, modified, built upon, or otherwise used by anyone for any lawful purpose. The work is made available under the Creative Commons CC0 public domain dedication.
DOI: 10.1371/journal.pone.0154624
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