Predictive modeling and mapping of Malayan sun bear (Helarctos malayanus) distribution using maximum entropy
One of the available tools for mapping the geographical distribution and potential suitable habitats is species distribution models. These techniques are very helpful for finding poorly known distributions of species in poorly sampled areas, such as the tropics. Maximum Entropy (MaxEnt) is a recentl...
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| Format: | Article |
| Language: | English |
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Public Library of Science
2012
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| Online Access: | http://psasir.upm.edu.my/id/eprint/52124/ http://psasir.upm.edu.my/id/eprint/52124/1/52124.PDF |
| _version_ | 1848852019787333632 |
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| author | Nazeri, Mona Jusoff, Kamaruzaman Madani, Nima Mahmud, Ahmad Rodzi Bahman, Abdul Rani Kumar, Lalit |
| author_facet | Nazeri, Mona Jusoff, Kamaruzaman Madani, Nima Mahmud, Ahmad Rodzi Bahman, Abdul Rani Kumar, Lalit |
| author_sort | Nazeri, Mona |
| building | UPM Institutional Repository |
| collection | Online Access |
| description | One of the available tools for mapping the geographical distribution and potential suitable habitats is species distribution models. These techniques are very helpful for finding poorly known distributions of species in poorly sampled areas, such as the tropics. Maximum Entropy (MaxEnt) is a recently developed modeling method that can be successfully calibrated using a relatively small number of records. In this research, the MaxEnt model was applied to describe the distribution and identify the key factors shaping the potential distribution of the vulnerable Malayan Sun Bear (Helarctos malayanus) in one of the main remaining habitats in Peninsular Malaysia. MaxEnt results showed that even though Malaysian sun bear habitat is tied with tropical evergreen forests, it lives in a marginal threshold of bio-climatic variables. On the other hand, current protected area networks within Peninsular Malaysia do not cover most of the sun bears potential suitable habitats. Assuming that the predicted suitability map covers sun bears actual distribution, future climate change, forest degradation and illegal hunting could potentially severely affect the sun bear’s population. |
| first_indexed | 2025-11-15T10:31:26Z |
| format | Article |
| id | upm-52124 |
| institution | Universiti Putra Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T10:31:26Z |
| publishDate | 2012 |
| publisher | Public Library of Science |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | upm-521242017-05-05T02:59:18Z http://psasir.upm.edu.my/id/eprint/52124/ Predictive modeling and mapping of Malayan sun bear (Helarctos malayanus) distribution using maximum entropy Nazeri, Mona Jusoff, Kamaruzaman Madani, Nima Mahmud, Ahmad Rodzi Bahman, Abdul Rani Kumar, Lalit One of the available tools for mapping the geographical distribution and potential suitable habitats is species distribution models. These techniques are very helpful for finding poorly known distributions of species in poorly sampled areas, such as the tropics. Maximum Entropy (MaxEnt) is a recently developed modeling method that can be successfully calibrated using a relatively small number of records. In this research, the MaxEnt model was applied to describe the distribution and identify the key factors shaping the potential distribution of the vulnerable Malayan Sun Bear (Helarctos malayanus) in one of the main remaining habitats in Peninsular Malaysia. MaxEnt results showed that even though Malaysian sun bear habitat is tied with tropical evergreen forests, it lives in a marginal threshold of bio-climatic variables. On the other hand, current protected area networks within Peninsular Malaysia do not cover most of the sun bears potential suitable habitats. Assuming that the predicted suitability map covers sun bears actual distribution, future climate change, forest degradation and illegal hunting could potentially severely affect the sun bear’s population. Public Library of Science 2012 Article PeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/52124/1/52124.PDF Nazeri, Mona and Jusoff, Kamaruzaman and Madani, Nima and Mahmud, Ahmad Rodzi and Bahman, Abdul Rani and Kumar, Lalit (2012) Predictive modeling and mapping of Malayan sun bear (Helarctos malayanus) distribution using maximum entropy. PLOS ONE, 7 (10). art. no. e48104. pp. 1-9. ISSN 1932-6203 http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0048104 10.1371/journal.pone.0048104 |
| spellingShingle | Nazeri, Mona Jusoff, Kamaruzaman Madani, Nima Mahmud, Ahmad Rodzi Bahman, Abdul Rani Kumar, Lalit Predictive modeling and mapping of Malayan sun bear (Helarctos malayanus) distribution using maximum entropy |
| title | Predictive modeling and mapping of Malayan sun bear (Helarctos malayanus) distribution using maximum entropy |
| title_full | Predictive modeling and mapping of Malayan sun bear (Helarctos malayanus) distribution using maximum entropy |
| title_fullStr | Predictive modeling and mapping of Malayan sun bear (Helarctos malayanus) distribution using maximum entropy |
| title_full_unstemmed | Predictive modeling and mapping of Malayan sun bear (Helarctos malayanus) distribution using maximum entropy |
| title_short | Predictive modeling and mapping of Malayan sun bear (Helarctos malayanus) distribution using maximum entropy |
| title_sort | predictive modeling and mapping of malayan sun bear (helarctos malayanus) distribution using maximum entropy |
| url | http://psasir.upm.edu.my/id/eprint/52124/ http://psasir.upm.edu.my/id/eprint/52124/ http://psasir.upm.edu.my/id/eprint/52124/ http://psasir.upm.edu.my/id/eprint/52124/1/52124.PDF |