Speaker：Siya Xie（谢思雅）Xinming Tu（屠鑫明）Yiming Yan（燕逸铭）

On global scale, the distribution of biodiversity shows various patterns, and how to explain these patterns has long been a question of interest. Previously, researchers mainly try to answer this question by constructing statistic models, which act well in showing the correlation but poor in prediction, based on chosen environmental variables and empirical biodiversity distribution data. The process-based model aims to  focus on the basic individual processes (adaptation, range shifts, fragmentation, speciation, dispersal, competition, and extinction) shaping geographical patterns of biodiversity. With the implemented processes, this spatially explicit, mechanistic simulation model driven by modeled climates of the past mirrors the evolution route and can eventually predict biodiversity distributions that closely resemble contemporary maps for major taxa. The method presents a new way to explain the biodiversity patterns and may reveal the complex interactions between individual processes and them.

http://cqb.pku.edu.cn/kxdw/zxjs/tlt/253415.shtml

2. Di Wang (PKU, graduate student)