讲座题目：Understanding ecological dynamics with incomplete information
主 讲 人：Chuliang Song 博士
主 持 人：李勤 副教授
Dr. Song will join the Department of Ecology and Evolutionary Biology, University of California, Los Angeles (UCLA) as an Assistant Professor in Summer 2024. He is currently a postdoc with Jonathan Levine at Princeton University, as a theoretical and computational ecologist. His research program aims to forecast the dynamics of ecological systems under unforeseen environmental conditions, and under incomplete information about the entire system. To this end, his work centers on developing rigorous theory through interdisciplinary tools, devising monitoring-applicable metrics, and validating these approaches with empirical data from a broad range of ecosystems.
报告内容简介：A central quest in ecological research is to understand the ecological dynamics maintaining biodiversity. However, when making strong and robust assessments of ecological dynamics, a fundamental challenge is that we very rarely possess complete information about the entire ecological system. To address this challenge, my talk will focus on three major questions. First, given that an ecological community only assembles once, how can we understand if the order of species arrivals influence community stability? Second, given that we can only measure a subset of species, how can we quantify the stability of the whole ecological community from measures of the subset? Third, given that an ecological system harbors many interactions, how can we detect which interactions are evolving on ecological timescales? In sum, my talk shows how carefully designed theory allows rigorous extrapolation and prediction from limited data.