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Sundstrom, Shana M., Tarsha Eason, R. John Nelson, David G. Angeler, Chris Barichievy, Ahjond S. Garmestani, Nicholas A.J. Graham, et al. “Detecting Spatial Regimes in Ecosystems.” Edited by Dave Hodgson. Ecology Letters 20, no. 1 (January 2017): 19–32. doi:10.1111/ele.12709.

Summary

Research on early warning indicators has generally focused on assessing temporal transitions with limited application of these methods to detecting spatial regimes. Traditional spatial boundary detection procedures that result in ecoregion maps are typically based on ecological potential (i.e. potential vegetation), and often fail to account for ongoing changes due to stressors such as land use change and climate change and their effects on plant and animal communities. We use Fisher information, an information theory-based method, on both terrestrial and aquatic animal data (U.S. Breeding Bird Survey and marine zooplankton) to identify ecological boundaries, and compare our results to traditional early warning indicators, conventional [...]

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The USGS Breeding Bird Survey route locations in the central and northern United States..JPG thumbnail 40.58 KB
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  • John Wesley Powell Center for Analysis and Synthesis

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DOI https://www.sciencebase.gov/vocab/category/item/identifier 10.1111/ele.12709

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noteSundstrom, Shana M., Tarsha Eason, R. John Nelson, David G. Angeler, Chris Barichievy, Ahjond S. Garmestani, Nicholas A.J. Graham, et al. “Detecting Spatial Regimes in Ecosystems.” Edited by Dave Hodgson. Ecology Letters 20, no. 1 (January 2017): 19–32. doi:10.1111/ele.12709.

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