2023 Fiscal Year Final Research Report
Exhaustive analyses on interrelationships among plant functional traits based on application of machine learning to an open access database
Project/Area Number |
21K06354
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Research Category |
Grant-in-Aid for Scientific Research (C)
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Allocation Type | Multi-year Fund |
Section | 一般 |
Review Section |
Basic Section 45040:Ecology and environment-related
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Research Institution | The University of Tokyo (2023) Research Institute for Humanity and Nature (2021-2022) |
Principal Investigator |
Aiba Masahiro 東京大学, 大学院農学生命科学研究科(農学部), 特任助教 (80751990)
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Project Period (FY) |
2021-04-01 – 2024-03-31
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Keywords | 機能形質 / 機能的多様性 / 植物生態学 / 森林生態学 |
Outline of Final Research Achievements |
Interrelationships among functional traits were analyzed by using a machine-learning method for 10 traits of 1875 species available in the TRY database. For all traits, the predictive ability of the machine learning model exceeded that of the single regression model, suggesting the importance of relationships among multiple traits, interactive effects, and nonlinearities in the relationships among traits. The calculation of the Friedman's H index demonstrated that up to 30% of the explained variation was attributable to interactions among traits. In addition, the number of traits required to reproduce the arrangement of traits in the multidimensional trait space was verified by using distance correlation for 18 traits of 157 Japanese tree species. The results showed that at least six traits are required to achieve a distance correlation of 0.9.
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Free Research Field |
生態学
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Academic Significance and Societal Importance of the Research Achievements |
生物の形質間関係は、基礎科学的に重要なだけでなく、気候変動や土地利用変化といった人為撹乱が生態系の機能やサービスに与える影響を予測・評価するうえでも不可欠な情報である。本研究で発見された植物の形質間関係の様々な特性はそうした予測・評価に係る応用研究の精度向上に寄与するものである。また、形質多次元空間内の配置に関する知見は応用研究においても重要性の高い機能的多様性の効率的な活用に繋がる可能性が高い。
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