| Title |
Predictive Modeling and Mapping of Malayan Sun Bear (Helarctos malayanus) Distribution Using Maximum Entropy
|
|---|---|
| Published in |
PLOS ONE, October 2012
|
| DOI | 10.1371/journal.pone.0048104 |
| Pubmed ID | |
| Authors |
Mona Nazeri, Kamaruzaman Jusoff, Nima Madani, Ahmad Rodzi Mahmud, Abdul Rani Bahman, Lalit Kumar |
| Abstract |
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. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| India | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 263 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Brazil | 3 | 1% |
| United Kingdom | 3 | 1% |
| United States | 2 | <1% |
| United Arab Emirates | 1 | <1% |
| Chile | 1 | <1% |
| Australia | 1 | <1% |
| Turkey | 1 | <1% |
| Portugal | 1 | <1% |
| India | 1 | <1% |
| Other | 6 | 2% |
| Unknown | 243 | 92% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 50 | 19% |
| Student > Ph. D. Student | 43 | 16% |
| Student > Master | 40 | 15% |
| Student > Bachelor | 35 | 13% |
| Other | 16 | 6% |
| Other | 36 | 14% |
| Unknown | 43 | 16% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 120 | 46% |
| Environmental Science | 75 | 29% |
| Earth and Planetary Sciences | 8 | 3% |
| Computer Science | 4 | 2% |
| Medicine and Dentistry | 3 | 1% |
| Other | 8 | 3% |
| Unknown | 45 | 17% |