Chuliang Song, Ph.D.
Assistant Professor
Ecology and Evolutionary Biology
Effective conservation is often hindered by the disconnect between the small snapshots of data that ecologists and conservationists feasibly collect, and the big-picture conclusions about ecosystem health demanded by policymakers, scientists, and society. As a quantitative ecologist, my research aims to bridge this gap by developing rigorous theory, devising practical monitoring metrics, and validating these approaches with empirical data. For example, I’ve developed methods to predict ecosystem stability from limited subsamples of their interactions, and to assess the long-term survival of species across fragmented landscapes using limited survey data. Ultimately, my work seeks to provide reliable, accessible tools that empower both researchers and decision-makers to make informed choices about conservation prioritization and habitat restoration..