Mapping the distribution of dholes, Cuon alpinus (Canidae, Carnivora), in Thailand

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Author list: Jenks K.E., Kitamura S., Lynam A.J., Ngoprasert D., Chutipong W., Steinmetz R., Sukmasuang R., Grassman Jr. L.I., Cutter P., Tantipisanuh N., Bhumpakphan N., Gale G.A., Reed D.H., Leimgruber P., Songsasen N.

Publication year: 2012

Volume number: 76

Issue number: 2

Start page: 175

End page: 184

Number of pages: 10

ISSN: 0025-1461

eISSN: 0025-1461

URL: https://www.scopus.com/inward/record.uri?eid=2-s2.0-84861357233&doi=10.1515%2fmammalia-2011-0063&partnerID=40&md5=b526e636155450aa434fd6b616cf2336

Languages: English-Great Britain (EN-GB)

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Abstract

No recent attempt has been made to survey dhole distribution, or to estimate remaining population numbers. We surveyed 15 protected areas in Thailand with camera traps from 1996 to 2010. We used the photo locations of dholes (n=96) in the maximum entropy (MaxEnt) model along with six environmental variables to model current dhole distribution, as well as species predictive occurrence layers for sambar, red muntjac, wild boar, tiger, and leopard. The MaxEnt model identified the predicted probability of the presence of leopards and sambar as positive and the most important variables in modeling dhole presence, indicating that maintaining a sufficient prey base may be the most important factor determining continued survival of dholes. Roughly 7% of the total land area in Thailand is potentially suitable for dholes. However, surveys to date have focused on protected areas, which make up just a third of the potential suitable areas for dholes. Only in four protected areas do they occur across the entire landscape, suggesting that in the majority of places where they occur, habitats are not uniformly suitable. Using the model, we identified several potential areas where dholes have not been reported, and therefore status surveys are needed, and where future research of the species might be focused. ฉ 2012 by Walter de Gruyter.Berlin.Boston.

Keywords

Cuon alpinus, MaxEnt, maximum entropy modeling, Southeast Asia, Species distribution modeling