| Project/Area Number |
18K18224
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| Research Category |
Grant-in-Aid for Early-Career Scientists
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| Allocation Type | Multi-year Fund |
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| Review Section |
Basic Section 64040:Social-ecological systems-related
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| Research Institution | Okinawa Institute of Science and Technology Graduate University |
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Principal Investigator |
Shah Payal 沖縄科学技術大学院大学, サイエンステクノロジーグループ, 研究員 (30773220)
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| Project Period (FY) |
2018-04-01 – 2020-03-31
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| Project Status |
Completed (Fiscal Year 2019)
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| Budget Amount *help |
¥1,690,000 (Direct Cost: ¥1,300,000、Indirect Cost: ¥390,000)
Fiscal Year 2019: ¥520,000 (Direct Cost: ¥400,000、Indirect Cost: ¥120,000)
Fiscal Year 2018: ¥1,170,000 (Direct Cost: ¥900,000、Indirect Cost: ¥270,000)
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| Keywords | protected areas / deforestation / conservation policy / impact evaluation / machine learning / quasi-experimental study |
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| Outline of Final Research Achievements |
Protected areas are an important global conservation policy tool that can help preserve forests, species and ecosystems but only if they are effective in avoiding deforestation. We evaluate the effectiveness of global protected areas established between 2000 and 2012 in avoiding deforestation using quasi-experimental methods. We find that 86,062 sq. km. of deforestation was avoided globally on account of protected areas established between 2000 and 2012. Protected areas in tropical countries, upper-middle income countries and in South America were generally more effective at avoiding deforestation. We find that lower agricultural pressures, higher economic growth rates and better governance are associated with greater country-level protected area effectiveness. We further find that if all countries’ protected areas were as effective as the country with the most effective protected areas within the same region, 119,186 sq. km. of deforestation would have been avoided.
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| Academic Significance and Societal Importance of the Research Achievements |
This is the first study to explore the key drivers of protected area effectiveness using global data. We find that protected area effectiveness vary significantly by region and income group. Our study provides guidance for future conservation policy that targets global increase in protected areas.
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