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Changing Arctic Ecosystems - Research to understand and project changes in marine and terrestrial ecosystems of the Arctic

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Full Publication: https://pubs.usgs.gov/fs/2011/3136/

Product Type: Government Publication

Year: 2011

Authors: Geiselman, J. A., A. R. DeGange, K. L. Oakley, D. V. Derksen, and M. E. Whalen


Suggested Citation:
Geiselman, J. A., A. R. DeGange, K. L. Oakley, D. V. Derksen, and M. E. Whalen. 2011. Changing Arctic Ecosystems - Research to understand and project changes in marine and terrestrial ecosystems of the Arctic. USGS Fact Sheet 2011-3136, 4 p.

Abstract


Ecosystems and their wildlife communities are not static; they change and evolve over time due to numerous intrinsic and extrinsic factors. A period of rapid change is occurring in the Arctic for which our current understanding of potential ecosystem and wildlife responses is limited. Changes to the physical environment include warming temperatures, diminishing sea ice, increasing coastal erosion, deteriorating permafrost, and changing water regimes. These changes influence biological communities and the ways in which human communities interact with them. Through the new initiative Changing Arctic Ecosystems (CAE) the U.S. Geological Survey (USGS) strives to (1) understand the potential suite of wildlife population responses to these physical changes to inform key resource management decisions such as those related to the Endangered Species Act, and (2) provide unique insights into how Arctic ecosystems are responding under new stressors. Our studies examine how and why changes in the ice-dominated ecosystems of the Arctic are affecting wildlife and will provide a better foundation for understanding the degree and manner in which wildlife species respond and adapt to rapid environmental change. Changes to Arctic ecosystems will be felt broadly because the Arctic is a production zone for hundreds of species that migrate south for the winter.

The CAE initiative includes three major research themes that span Arctic ice-dominated ecosystems and that are structured to identify and understand the linkages between physical processes, ecosystems, and wildlife populations. The USGS is applying knowledge-based modeling structures such as Bayesian Networks to integrate the work.

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