Predicting Animal Responses to Ocean Deoxygenation Using Novel Combinations of Data and Models

Data Science Lecture Series


April 14, 2017
1:10pm to 2:30pm
190 Doe Library
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Oxygen concentrations are hypothesized to decrease in many areas of the ocean as a result of anthropogenically driven climate change, resulting in habitat compression for pelagic animals.  Tolerances for low oxygen vary among animals, and the method for determining tolerance thresholds needs to be applied to animals of different sizes, morphologies, and activity levels.   An approach, using blood oxygen affinity as a measure of low oxygen tolerance will be used to assess the potential impacts for tuna species. 


Allison Smith

Postdoctoral Fellow, eScience Institute and the School of Oceanography, University of Washington

Allison Smith (publishes as K. A. S. Mislan) is a postdoctoral fellow in the eScience Institute and the School of Oceanography at the University of Washington. She received her Ph.D. in biological sciences from the University of South Carolina and was previously a postdoctoral researcher in the Atmospheric and Oceanic Sciences Program at Princeton University. Allison studies the distribution of species in coastal and open ocean ecosystems. In the course of her research, she uses and develops mechanistic models of organisms and ecosystems that incorporate physiology, chemistry, and physics. Results from her research are used to determine the effects of climate change. She has additional interests in reproducibility and data visualization.