研究課題/領域番号 |
23K27243
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補助金の研究課題番号 |
23H02552 (2023)
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研究種目 |
基盤研究(B)
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配分区分 | 基金 (2024) 補助金 (2023) |
応募区分 | 一般 |
審査区分 |
小区分45040:生態学および環境学関連
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研究機関 | 東京大学 |
研究代表者 |
シェファーソン リチャード 東京大学, 大学院総合文化研究科, 准教授 (10747108)
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研究期間 (年度) |
2023-04-01 – 2027-03-31
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研究課題ステータス |
交付 (2024年度)
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配分額 *注記 |
14,170千円 (直接経費: 10,900千円、間接経費: 3,270千円)
2026年度: 3,640千円 (直接経費: 2,800千円、間接経費: 840千円)
2025年度: 4,160千円 (直接経費: 3,200千円、間接経費: 960千円)
2024年度: 3,770千円 (直接経費: 2,900千円、間接経費: 870千円)
2023年度: 2,600千円 (直接経費: 2,000千円、間接経費: 600千円)
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キーワード | demography / evolution / ecology / plants / Demography / Population / Ecology |
研究開始時の研究の概要 |
Long-term monitoring data taken at the individual level from perennial herb populations around the world will be used to ascertain the influence of long-term trade-offs on population dynamics and evolution. The influence on conservation status will also be explored.
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研究実績の概要 |
During the first year of the research project, I developed the first draft of an adaptive dynamics function that will serve as the basis for the new R package. I also completed and published a new research paper that serves as the first example of a case study for use in the development of the package. This paper was published in the Journal of Ecology, which is one of the top 10 journals in ecology and evolution worldwide. Concurrently, with a colleague, I have found evidence to suggest that historical matrix models need to be altered in their parameterization when created as empirical MPMs (IPM -style historical MPMs are not affected by this issue).
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現在までの達成度 (区分) |
現在までの達成度 (区分)
1: 当初の計画以上に進展している
理由
I am currently introducing new functions to rapidly automate the simulations required for a full adaptive dynamics function, and also producing extra functions to visualize and analyze the results. I am developing an initial MPM development and comparison of five herbaceous perennial demographic datasets that will also serve as a stepping point for some of the initial analyses to be conducted when this project approaches completion.
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今後の研究の推進方策 |
The current plan is to continue with the R package building this year, in the hopes of having a full draft package available for submission by the end of the fiscal year. Concurrently, I am developing an analysis that will be turned into the first paper using the package, in the process introducing it. I am currently developing a collaboration with colleagues at the University of California at Berkeley, Oxford University, and the University of Budapest to develop this.
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