研究課題/領域番号 |
22KJ1856
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補助金の研究課題番号 |
22J14358 (2022)
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研究種目 |
特別研究員奨励費
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配分区分 | 基金 (2023) 補助金 (2022) |
応募区分 | 国内 |
審査区分 |
小区分04020:人文地理学関連
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研究機関 | 京都大学 |
研究代表者 |
Estacio Ian 京都大学, 地球環境学舎, 特別研究員(DC2)
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研究期間 (年度) |
2023-03-08 – 2024-03-31
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研究課題ステータス |
中途終了 (2023年度)
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配分額 *注記 |
1,700千円 (直接経費: 1,700千円)
2023年度: 800千円 (直接経費: 800千円)
2022年度: 900千円 (直接経費: 900千円)
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キーワード | Agricultural abandonment / Socio-ecological systems / Regression modeling / Agent-based modeling / World heritage site / GIS / Land cover change / Land-use simulation / Social-ecological system / Agent-based model / Statistical model / Logistic regression |
研究開始時の研究の概要 |
The outline of the research revolves around the utilization of agent-based modeling to propose a modeling framework for simulating the feedback between land cover change and human actions. Research synthesis based on gathered results will also be utilized to propose the framework.
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研究実績の概要 |
The research project has three main achievements.
First, a statistical model was developed that identifies the spatial and non-spatial drivers of land use/land cover change. This model was published in the International Journal of Applied Earth Observation and Geoinformation. Second, an agent-based model was developed that simulates the impacts of policies on agricultural lands. Simulations showed that the provision of aid in restoring eroded terraces is most effective in mitigating agricultural abandonment. Lastly, a modeling framework called ATLEA was developed for simulating the feedback loop between land use changes and non-spatial actors in a socio-ecological system. The ATLEA framework has been accepted for publication in the Springer Proceedings in Earth and Environmental Sciences.
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