Mohd Faudzir, Najmuddin (2023) Primate population status and distribution assessment using pooled local expert opinion and geographic information system in Peninsular Malaysia. Doctoral thesis, Universiti Tun Hussein Onn Malaysia.
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Abstract
Primate population and distribution studies are conventionally based on field study and expert estimation for a population in certain area. To provide data at larger scale, the researcher estimates the primate population and distribution based on recent finding and extrapolation of data from specific area to represent larger are such as for state or country. Though the method was readily accepted for scientific study and international report, another stakeholder was left aside which is locals such as villagers, park manager and wildlife ranger. This study employed pooled local expert opinion (PLEO) which targeted experts from the Department of Wildlife and National Park (PERHILITAN) (n=311), Johor Forestry Department (n=150), and local people (n=386). The result shows the reliability of local experts for only on the presence-absence of primate species and human-wildlife conflict (Cronbach’s alpha 0.8). PERHILITAN and Johor Forestry Department show reliability on primate population estimation, distribution, and human-wildlife conflict as government authorities (Cronbach alpha: 0.94 and 0.97, respectively). The total population estimation for primates were as follow: M. fascicularis (97200), M. nemestrina (30900), M. arctoides (3000), T. obscurus (23420), P. robinsoni (3920), P. femoralis (2800), P. siamensis (10510), T. cristatus (8900), N. coucang (4410), H. lar (4700), H. agilis (3050), and S. syndactylus (2950). Though the method can be refined into specific area for other wildlife as well, the improvement that should be considered are the target respondent, structure of the question and complementary data to increase its reliability, robustness, and impact for policy maker
Item Type: | Thesis (Doctoral) |
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Subjects: | G Geography. Anthropology. Recreation > G Geography (General) |
Depositing User: | Pn Sabarina binti Che Mat |
Date Deposited: | 05 May 2024 01:24 |
Last Modified: | 05 May 2024 01:24 |
URI: | http://eprintsthesis.uthm.edu.my/id/eprint/173 |
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