Abstract

The continuing development of improved capture–recapture (CR) modeling techniques used to study apex predators has also limited robust temporal and cross-site analyses due to different methods employed. We develop an approach to standardize older non-spatial CR and newer spatial CR density estimates and examine trends for critically endangered Sumatran tigers (Panthera tigris sumatrae) using a meta-regression of 17 existing densities and new estimates from our own fieldwork. We find that tiger densities were 47% higher in primary versus degraded forests and, unexpectedly, increased 4.9% per yr from 1996 to 2014, likely indicating a recovery from earlier poaching. However, while tiger numbers may have temporarily risen, the total potential island-wide population declined by 16.6% from 2000 to 2012 due to forest loss and degradation and subpopulations are significantly more fragmented. Thus, despite increasing densities in smaller parks, we conclude that there are only two robust populations left with >30 breeding females, indicating Sumatran tigers still face a high risk of extinction unless deforestation can be controlled.

Details

Title
Sumatran tiger survival threatened by deforestation despite increasing densities in parks
Author
Luskin, Matthew Scott 1   VIAFID ORCID Logo  ; Wido Rizki Albert 2 ; Tobler, Mathias W 3 

 Center for Tropical Forest Science – Forest Global Earth Observatory, Smithsonian Tropical Research Institute, Washington, DC, USA; Asian School of the Environment, Nanyang Technical University, Singapore, Singapore; Department of Environmental Science, Policy, and Management, University of California, Berkeley, CA, USA 
 Fauna & Flora International - Indonesia Programme, Jambi, Sumatra, Indonesia 
 San Diego Zoo Global, Institute for Conservation Research, Escondido, CA, USA 
Pages
1-9
Publication year
2017
Publication date
Dec 2017
Publisher
Nature Publishing Group
e-ISSN
20411723
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
1983423800
Copyright
© 2017. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.