| Project/Area Number |
23K27243
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| Project/Area Number (Other) |
23H02552 (2023)
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| Research Category |
Grant-in-Aid for Scientific Research (B)
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| Allocation Type | Multi-year Fund (2024)
Single-year Grants (2023) |
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| Section | 一般 |
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| Review Section |
Basic Section 45040:Ecology and environment-related
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| Research Institution | The University of Tokyo |
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Principal Investigator |
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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| Project Period (FY) |
2023-04-01 – 2027-03-31
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| Project Status |
Granted (Fiscal Year 2024)
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| Budget Amount *help |
¥14,170,000 (Direct Cost: ¥10,900,000、Indirect Cost: ¥3,270,000)
Fiscal Year 2026: ¥3,640,000 (Direct Cost: ¥2,800,000、Indirect Cost: ¥840,000)
Fiscal Year 2025: ¥4,160,000 (Direct Cost: ¥3,200,000、Indirect Cost: ¥960,000)
Fiscal Year 2024: ¥3,770,000 (Direct Cost: ¥2,900,000、Indirect Cost: ¥870,000)
Fiscal Year 2023: ¥2,600,000 (Direct Cost: ¥2,000,000、Indirect Cost: ¥600,000)
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| Keywords | demography / evolution / ecology / plants / Demography / Population / Ecology |
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| Outline of Research at the Start |
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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| Outline of Annual Research Achievements |
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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| Current Status of Research Progress |
Current Status of Research Progress
1: Research has progressed more than it was originally planned.
Reason
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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| Strategy for Future Research Activity |
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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