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Dr. Steven J. Harper

 



Spatial Modeling -- As a postdoctoral scholar with Drs. James Westervelt and Bruce Hannon, I participated in a unique, interdisciplinary approach to dynamic spatial modeling. We integrated ecological knowledge gained by field biologists and land managers with state-of-the-art hardware and software to model the effects of natural and human-induced impacts on endangered vertebrate species inhabiting federal lands. The overall goal of these projects was to provide tools that could be used by land managers to ensure the long-term viability of endangered species. The feasibility of the approach was demonstrated for a desert tortoise population at Fort Irwin, CA. More rigorous models were later developed for black-capped vireos and golden-cheeked warblers at Fort Hood, TX. Spatial and temporal dynamics of habitat management and landuse practices were shown to have substantial effects on the long-term viability of endangered species. As an extension to the Fort Hood models, I recently developed an individual-based, spatially-explicit model to capture the behavior and daily movements of brown-headed cowbirds. This model supported efforts targeted at reducing the negative effects of brood parasitism on endangered species and other passerines. Together, these projects have given me confidence in the feasibility of applying realistic, spatially-explicit models towards conservation issues. This research also illustrates how processes operating at different temporal and spatial scales can be integrated. Specifically, I investigate how individuals respond to broad-scale factors such as landscape structure or landuse practices, and then I study how these responses, in turn, influence population, metapopulation, and community dynamics. I believe that such an approach provides a powerful, unifying paradigm for ecology that I can apply to a wide variety of ecosystems and landscapes. Because it provides a framework for understanding processes operating at different scales, I plan to continue using this research approach to predict how diverse systems will respond to natural and human-induced changes. In contrast to some theoreticians who only develop models, I am eager to test the assumptions and conclusions of simulation models in natural systems. Ecology as a whole benefits from strong relationships among modelers, field researchers, and managers.


 

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