Authors
Andreas Wilting, Anna Cord, Andrew J Hearn, Deike Hesse, Azlan Mohamed, Carl Traeholdt, Susan M Cheyne, Sunarto Sunarto, Mohd-Azlan Jayasilan, Joanna Ross, Aurélie C Shapiro, Anthony Sebastian, Stefan Dech, Christine Breitenmoser, Jim Sanderson, JW Duckworth, Heribert Hofer
Publication date
2010/3/17
Journal
PloS one
Volume
5
Issue
3
Pages
e9612
Publisher
Public Library of Science
Description
Background
The flat-headed cat (Prionailurus planiceps) is one of the world's least known, highly threatened felids with a distribution restricted to tropical lowland rainforests in Peninsular Thailand/Malaysia, Borneo and Sumatra. Throughout its geographic range large-scale anthropogenic transformation processes, including the pollution of fresh-water river systems and landscape fragmentation, raise concerns regarding its conservation status. Despite an increasing number of camera-trapping field surveys for carnivores in South-East Asia during the past two decades, few of these studies recorded the flat-headed cat.
Methodology/Principal Findings
In this study, we designed a predictive species distribution model using the Maximum Entropy (MaxEnt) algorithm to reassess the potential current distribution and conservation status of the flat-headed cat. Eighty-eight independent species occurrence records were gathered from field surveys, literature records, and museum collections. These current and historical records were analysed in relation to bioclimatic variables (WorldClim), altitude (SRTM) and minimum distance to larger water resources (Digital Chart of the World). Distance to water was identified as the key predictor for the occurrence of flat-headed cats (>50% explanation). In addition, we used different land cover maps (GLC2000, GlobCover and SarVision LLC for Borneo), information on protected areas and regional human population density data to extract suitable habitats from the potential distribution predicted by the MaxEnt model. Between 54% and 68% of suitable habitat has already been converted to unsuitable land cover types …
Total citations
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