Reconstructing community networks based on time-series analysis of populations

2017 Fiscal Year Final Research Report

• Project/Area Number: 15K14610
• Research Category: Grant-in-Aid for Challenging Exploratory Research
• Allocation Type: Multi-year Fund
• Research Field: Ecology/Environment
• Research Institution: Ryukoku University
• Principal Investigator: Kondoh Michio 龍谷大学, 理工学部, 教授 (30388160)
• Co-Investigator(Kenkyū-buntansha): 潮 雅之 京都大学, 生態学研究センター, 科学技術振興機構さきがけ専任研究者(京都大学生態学研究センター連携研究員) (40722814)
• Project Period (FY): 2015-04-01 – 2018-03-31
• Keywords: 時系列解析 / 複雑ネットワーク / 生物多様性 / 安定性解析 / 魚類群集

Outline of Final Research Achievements

We developed a mathematical method, by applying which to time-series data of populations one can estimate presence/absence, strengths and signs of interspecific interactions and evaluate community stability. We confirmed the usefulness of the developed method by applying it to artificial data and experimental data with a few species. The method has been applied to large field data sets, such as of fish community of Maizuru Bay and insect community of British grassland, to detect the dynamics and other characteristics of interaspecific interactions in nature and also to test empirically the complexity-stability effect, which has been predicted only with mathematical modeling.

Free Research Field

群集生態学、理論生態学、個体群動態