| Project/Area Number |
19K21558
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| Project/Area Number (Other) |
18H06496 (2018)
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| Research Category |
Grant-in-Aid for Research Activity Start-up
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| Allocation Type | Multi-year Fund (2019)
Single-year Grants (2018) |
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| Review Section |
1101:Environmental analyses and evaluation, environmental conservation measure and related fields
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| Research Institution | Research Institute for Humanity and Nature (2019)
Kyoto University (2018) |
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Principal Investigator |
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| Project Period (FY) |
2018-08-24 – 2020-03-31
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| Project Status |
Completed (Fiscal Year 2019)
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| Budget Amount *help |
¥2,860,000 (Direct Cost: ¥2,200,000、Indirect Cost: ¥660,000)
Fiscal Year 2019: ¥1,300,000 (Direct Cost: ¥1,000,000、Indirect Cost: ¥300,000)
Fiscal Year 2018: ¥1,560,000 (Direct Cost: ¥1,200,000、Indirect Cost: ¥360,000)
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| Keywords | Ecological modeling / Machine learning / Remote sensing / Spatial analysis / Wildlife corridor |
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| Outline of Research at the Start |
This research will develop a high resolution species distribution model of critically endangered mammal. The model can predict the fine-scale spatial distribution of the poorly known species in spite of the limitation of direct observations. The results will enrich the understanding of habitat characteristics and distribution determinants that plays an important role in saving the critically endangered mammal from extinction. They will also enable identification of existing and potential biological corridors between protected areas and areas prioritized for landscape conservation.
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| Outline of Final Research Achievements |
This research developed a high-resolution species distribution model of critically endangered mammal based on the combination of local knowledge, detailed maps of explanatory variables generated from remote sensing data, and machine learning methods. The model was focusing on predicting the fine-scale spatial distribution of the poorly known species despite the limitation of direct observations. Field surveys were conducted in a tropical forest in the mountainous area of Vietnam to collect habitat characteristics and to verify the model's effectiveness. Project achievements will enable the identification of existing and potential biodiversity corridors between protected areas and areas prioritized for landscape conservation.
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| Academic Significance and Societal Importance of the Research Achievements |
The study enriches the understanding of habitat characteristics and promotes efforts to save the target animal from extinction. It could contribute to biodiversity conservation not only for the case study area, tropical forests in Vietnam but also in other vital ecosystems around the world.
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