Understanding ecological dynamics with incomplete data

报告人：宋础良 博士

日期：2023年10月30日(星期一)

时间：16:00-17:00

地点：城环学院366会议室

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.

报告人简介

Chuliang Song is an incoming assistant professor at the Department of Ecology and Evolutionary Biology, University of California, Los Angeles (UCLA). He is currently a postdoc with Jonathan Levine at Princeton University. His research program aims to forecast the dynamics of ecological systems under unforeseen environmental conditions, and under incomplete information about the entire system.