Tananantayot, Jiratchaya and Agger, Cain and Ash, Eric and Aung, Saw Soe and Baker-Whatton, Megan C. and Bisi, Francesco and Clements, Gopalasamy Reuben * and Cremonesi, Giacomo and Crouthers, Rachel and Frechette, Jackson L. and Gale, George A. and Godfrey, Alexander and Gray, Thomas N. E. and Greenspan, Evan and Griffin, Olly and Grindley, Mark and Abdul Kadir, bin Abu Hashim and Jenks, Kate E. and K'lu, Saw Say and Lam, Wai Yee and Lynam, Antony J. and McCann, Gregory Edward and Shariff, Wan Mohamad and Petersen, Wyatt Joseph and Sivagogam, Charina Pria and Rayan, Darmaraj Mark and Riggio, Alex Michael and Saosoong, Sutasinee and Savini, Tommaso and Seuaturien, Naret and Shwe, Nay Myo and Siripattaranukul, Kittiwara and Steinmetz, Robert and Suksavate, Sasi and Sukumal, Niti and Tantipisanuh, Naruemon and Vinitpornsawan, Supagit and Ngoprasert, Dusit (2022) Where will the dhole survive in 2030? Predicted strongholds in mainland Southeast Asia. Conversation Science and Practice, 4 (11). ISSN 2578-4854
Full text not available from this repository.Abstract
Dhole (Cuon alpinus) is threatened with extinction across its range due to habitat loss and prey depletion. Despite this, no previous study has investigated the distribution and threat of the species at a regional scale. This lack of knowledge continues to impede conservation planning for the species. Here we modeled suitable habitat using presence-only camera trap data for dhole and dhole prey species in mainland Southeast Asia and assessed the threat level to dhole in this region using an expert-informed Bayesian Belief Network. We integrated prior information to identify dhole habitat strongholds that could support populations over the next 50 years. Our habitat suitability model identified forest cover and prey availability as the most influential factors affecting dhole occurrence. Similarly, our threat model predicted that forest loss and prey depletion were the greatest threats, followed by local hunting, non-timber forest product collection, and domestic dog incursion into the forest. These threats require proactive resource management, strong legal protection, and cross-sector collaboration. We predicted <20% of all remaining forest cover in our study area to be suitable for dhole. We then identified 17 patches of suitable forest area as potential strongholds. Among these patches, Western Forest Complex (Thailand) was identified as the region's only primary stronghold, while Taman Negara (Malaysia), and northeastern landscape (Cambodia) were identified as secondary strongholds. Although all 17 patches met our minimum size criteria (1667 km2), patches smaller than 3333 km2 may require site management either by increasing the ecological carrying capacity (i.e., prey abundance) or maintaining forest extent. Our proposed interventions for dhole would also strengthen the conservation of other co-occurring species facing similar threats. Our threat assessment technique of species with scarce information is likely replicable with other endangered species.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | Asiatic wild dog; Bayesian Belief Network; Cuon alphinus; habitat prioritization; infinitely weighted logistic regression; multi-scaled species distribution model; threat assessment |
| Subjects: | Q Science > QL Zoology |
| Divisions: | Others > Non Sunway Academics Sunway University > School of Medical and Life Sciences [formerly School of Healthcare and Medical Sciences until 2020] > Dept. Biological Sciences |
| Depositing User: | Ms Yong Yee Chan |
| Date Deposited: | 12 Aug 2024 07:56 |
| Last Modified: | 12 Aug 2024 07:56 |
| URI: | http://eprints.sunway.edu.my/id/eprint/3071 |
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