2019 Fiscal Year Annual Research Report
High resolution species distribution model for conservation planning of critically endangered mammal
| Project/Area Number |
19K21558
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| Allocation Type | Multi-year Fund |
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| Research Institution | Research Institute for Humanity and Nature |
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Principal Investigator |
NguyenTien Hoang 総合地球環境学研究所, 研究部, 上級研究員 (20829379)
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| Project Period (FY) |
2019-04-01 – 2020-03-31
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| Keywords | Ecological modeling / Machine learning / Remote sensing / Spatial analysis / Wildlife corridor |
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| Outline of Annual Research Achievements |
The proposed species distribution model has been developed by following the principles of supervised machine learning methods. The high-resolution map layers of distribution determinants were generated by the AW3D data (the world’s first 5m-resolution 3D map of the Earth) and drone-based mapping. Drone surveys conducted over mixed-species forests and improvement of a hyperspectral transforming method aid a detailed identification of vegetation species. Camera traps were placed to validate the model at selected sites in a deep forest for three months. Biodiversity conservation solutions were discussed through meetings with local people. It is concluded that the targeted critically endangered mammal most likely hide in hard-to-reach areas close to the border between Central Vietnam and Laos.
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