[Enviro-lunch] This THURSDAY 3/1: Allison Barner

[Jing Yan]

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Hello Everyone,
Please join us for a talk this Thursday 3/1 by Allison Barner, 12-1pm in Room SE2-302.

Scaling community ecology for prediction in a changing world

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Abstract:
Ecologists must increasingly balance the need for accurate predictions about how ecosystems will be affected by climate change, against the fact that making such predictions may be infeasible. Although information about responses of individual species to a changing environment is increasing, predicting responses of ecological communities to climate change is constrained by limited knowledge about how interconnectedness among species contributes to system stability. I'll discuss three areas of my recent theoretical and empirical work on the architecture of perturbed natural systems: 1) evaluation of inferential methods used to quantify species interactions, 2) consequences of frequently-ignored positive interactions for ecosystem response to change, 3) new frameworks for the study of complex interaction networks.

Bio:
Allison is a community ecologist whose work sits squarely between the worlds of experimentation and ecological theory. For her Ph.D. in the Department of Integrative Biology at Oregon State University, she used experimental approaches to understand how diverse communities of species are formed, persist, and change in the Pacific Northwest rocky intertidal ecosystem. Currently, as a James S. McDonnell Foundation Fellow in Studying Complex Systems at the University of California Berkeley, Allison leverages computational and mathematical tools to investigate generalities in the structure and dynamical consequences of realistic species interaction networks undergoing change.

When: Mar., 1 Thursday, 12pm – 1pm

Where: SE2-302

Coffee and treats will be provided, please bring your own mugs.

We look forward to seeing you,

Nate & Jing

Organizers for Spring 2018: Nate Bogie and Jing Yan
Faculty coordinator: Asmeret Asefaw Berhe


Jing Yan
Postdoctoral Scholar, Soil Physics Lab, School of Natural Sciences,
University of California, Merced

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