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Development of risk matrices for evaluating climatic change responses of forested habitats

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  • Louis Iverson

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  • Stephen Matthews
  • Anantha Prasad
  • Matthew Peters
  • Gary Yohe
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    Abstract

    We present an approach to assess and compare risk from climate change among multiple species through a risk matrix, in which managers can quickly prioritize for species that need to have strategies developed, evaluated further, or watched. We base the matrix upon earlier work towards the National Climate Assessment for potential damage to infrastructures from climate change. Risk is defined here as the product of the likelihood of an event occurring and the consequences or impact of that event. In the context of species habitats, the likelihood component is related to the potential changes in suitable habitat modeled at various times during this century. Consequences are related to the adaptability of the species to cope with the changes, especially the increasing intensity and/or frequency of disturbance events that are projected. We derived consequence scores from nine biological and 12 disturbance characteristics that were pulled from literature for each species. All data were generated from an atlas of climate change for 134 trees of the eastern United States ( www.nrs.fs.fed.us/atlas ). We show examples which depict a wide range of risk for tree species of northern Wisconsin, including species that may gain substantial habitat as well as lose substantial habitat, both of which will require the development of strategies to help the ecosystems adapt to such changes. Copyright U.S. Government 2012

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    File URL: http://hdl.handle.net/10.1007/s10584-012-0412-x
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    Bibliographic Info

    Article provided by Springer in its journal Climatic Change.

    Volume (Year): 114 (2012)
    Issue (Month): 2 (September)
    Pages: 231-243

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    Handle: RePEc:spr:climat:v:114:y:2012:i:2:p:231-243

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    Web page: http://www.springer.com/economics/journal/10584

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    Cited by:
    1. James Westfall & Christopher Woodall & Mark Hatfield, 2013. "A statistical power analysis of woody carbon flux from forest inventory data," Climatic Change, Springer, Springer, vol. 118(3), pages 919-931, June.

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