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Integrating eco-evolutionary data from islands to infer biodiversity dynamics

A central challenge in understanding the origins of biodiversity is that, while we can observe and test local ecological phenomena, we must usually infer the longer-term outcomes of these ecological forces indirectly. My colleagues and I have been developing inferential models at the interface between macroecology and population-level processes, and applying them to data from geological chronosequences that present communities of different ages. Inferences from these “snapshots in time” provide a link between direct observational methods for local communities and models that make indirect inferences underlying community history. We use data from multiple insular systems, each comprising replicated sites that range from 5 million years. In this way we can directly link ecological theories and models of community composition within a temporal framework so as to understand the history underlying patterns of species diversity. The approach bridges ecological and evolutionary theory to provide a framework for making predictions about biodiversity dynamics.

Speaker:  Rosemary Gillespie, UC Berkeley

Tuesday, 11/13/18


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Doe Memorial Library

UC Berkeley
Room 190
Berkeley, CA 94720