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https://repositorio.inpa.gov.br/handle/1/14685
Title: | Ocelot (Leopardus pardalis) density in Central Amazonia |
Authors: | Rocha, Daniel Gomes da Sollmann, Rahel Ramalho, Emiliano Esterci Ilha, Renata Tan, Cedric Kai Wei |
Keywords: | 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 |
Issue Date: | 2016 |
metadata.dc.publisher.journal: | PLoS ONE |
metadata.dc.relation.ispartof: | 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. |
metadata.dc.identifier.doi: | 10.1371/journal.pone.0154624 |
Appears in Collections: | Artigos |
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