Development of simulation model of plant population with high spatial resolution and low computational cost

2020 Fiscal Year Final Research Report

• Project/Area Number: 19K14803
• Research Category: Grant-in-Aid for Early-Career Scientists
• Allocation Type: Multi-year Fund
• Review Section: Basic Section 17030:Human geosciences-related
• Research Institution: Shiga University
• Principal Investigator: Nakagawa Yoshiaki 滋賀大学, データサイエンス教育研究センター, 助教 (80768614)
• Project Period (FY): 2019-04-01 – 2021-03-31
• Keywords: 植物 / 個体群 / 競争

Outline of Final Research Achievements

Many dynamic global vegetation models do not consider the spatial structure of plant populations, that is, assume that the spatial arrangement of leaves and plants is horizontally homogeneous. However, these models with such an assumption have a problem that the dynamics of plant population cannot be reproduced well unless the model parameters are set to unrealistic values. On the other hand, there is a few vegetation models that considers the spatial arrangement of them (spatial explicit individual-based model). When the number of plant individuals to be simulated is large, these models have a problem that it is not suitable for wide-area simulation because a high calculation cost is required. Therefore, in this study, we developed a vegetation model which can simulate at low calculation cost and can consider the spatial arrangement of leaves and plant.

Free Research Field

植物個体群生態学

Academic Significance and Societal Importance of the Research Achievements

本研究で提案している空間モーメントモデルが全球植生動態モデルに導入された例は国内外でほとんどない。空間モーメントモデルに葉の三次元分布を考慮した光競争モデルを導入した例も国内外でほとんどない。空間モーメントモデルは他の個体群モデルに比べて高空間解像度と低計算コストを両立するものであるため、本研究で開発される個体群モデルは、全球植生動態モデルの高度化や低計算コスト化において役立つと考える。また、葉の三次元空間分布を考慮した光競争モデルの開発を行った。これは、古くから使用されてきた門司と佐伯の群落光合成モデルの空間方向に拡張をしたものに相当する。