Optimal management of invasive populations under uncertainties on connectivity between local populations
| Project/Area Number |
22770027
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| Research Category |
Grant-in-Aid for Young Scientists (B)
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| Allocation Type | Single-year Grants |
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| Research Field |
Ecology/Environment
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| Research Institution | National Institute for Environmental Studies |
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Principal Investigator |
YOKOMIZO Hiroyuki 独立行政法人国立環境研究所, 環境リスク研究センター, 研究員 (30550074)
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| Project Period (FY) |
2010 – 2012
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| Project Status |
Completed (Fiscal Year 2012)
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| Budget Amount *help |
¥2,990,000 (Direct Cost: ¥2,300,000、Indirect Cost: ¥690,000)
Fiscal Year 2012: ¥780,000 (Direct Cost: ¥600,000、Indirect Cost: ¥180,000)
Fiscal Year 2011: ¥910,000 (Direct Cost: ¥700,000、Indirect Cost: ¥210,000)
Fiscal Year 2010: ¥1,300,000 (Direct Cost: ¥1,000,000、Indirect Cost: ¥300,000)
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| Keywords | メタ個体群 / 情報ギャップ理論 / 外来種管理 / 最適化 / 不確実性 / 接続性 / 外来種 / 最適駆除努力 / Information-Gap / ダイナミックプログラミング / 空間構造 / 数理モデル |
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| Research Abstract |
Spread of invasive species to new areas and re-invasion of previously invaded patches contribute substantially to management and damage costs across a landscape. In order to slow spread or minimize management or damage costs at a landscape scale it is crucial to understand how populations of the invasive are connected via dispersal. I developed mathematical models to derive optimal allocation of management efforts in a meta-population with uncertain connectivity
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Report
(4 results)
Research Products
(23 results)
