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Spatial Risk Assessment Across Large Landscapes with Varied Land Use: Lessons from a Conservation Assessment of Military Lands

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  • Mark C. Andersen
  • Bruce Thompson
  • Kenneth Boykin

Abstract

Spatial decision‐support tools are necessary for assessment and management of threats to biodiversity, which in turn is necessary for biodiversity conservation. In conjunction with the U.S. Geological Survey—Biological Resources Division's Species at Risk program, we developed a GIS‐based spatial decision‐support tool for relative risk assessments of threats to biodiversity on the U.S. Army's White Sands Missile Range and Fort Bliss (New Mexico and Texas) due to land uses associated with military missions of the two bases. The project tested use of spatial habitat models, land‐use scenarios, and species‐specific impacts to produce an assessment of relative risks for use in conservation planning on the 1.2 million‐hectare study region. Our procedure allows spatially explicit analyses of risks to multiple species from multiple sources by identifying a set of hazards faced by all species of interest, identifying a set of feasible management alternatives, assigning scores to each species for each hazard, and mapping the distribution of these hazard scores across the region of interest for each combination of species/management alternatives. We illustrate the procedure with examples. We demonstrate that our risk‐based approach to conservation planning can provide resource managers with a useful tool for spatial assessment of threats to species of concern.

Suggested Citation

  • Mark C. Andersen & Bruce Thompson & Kenneth Boykin, 2004. "Spatial Risk Assessment Across Large Landscapes with Varied Land Use: Lessons from a Conservation Assessment of Military Lands," Risk Analysis, John Wiley & Sons, vol. 24(5), pages 1231-1242, October.
  • Handle: RePEc:wly:riskan:v:24:y:2004:i:5:p:1231-1242
    DOI: 10.1111/j.0272-4332.2004.00521.x
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    References listed on IDEAS

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    1. Les Worrall & Derek Bond, 1997. "Geographical Information Systems, Spatial Analysis and Public Policy: the British Experience," International Statistical Review, International Statistical Institute, vol. 65(3), pages 365-379, December.
    2. Jeanne Kuo & Igor Linkov & Lorenz Rhomberg & Michael Polkanov & George Gray & Richard Wilson, 2002. "Absolute Risk or Relative Risk? A Study of Intraspecies and Interspecies Extrapolation of Chemical‐Induced Cancer Risk," Risk Analysis, John Wiley & Sons, vol. 22(1), pages 141-157, February.
    3. Bruce K. Hope, 2000. "Generating Probabilistic Spatially‐Explicit Individual and Population Exposure Estimates for Ecological Risk Assessments," Risk Analysis, John Wiley & Sons, vol. 20(5), pages 573-590, October.
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    Cited by:

    1. Matteo Convertino & L James Valverde Jr, 2013. "Portfolio Decision Analysis Framework for Value-Focused Ecosystem Management," PLOS ONE, Public Library of Science, vol. 8(6), pages 1-14, June.
    2. Valentina Ferretti & Gilberto Montibeller, 2019. "An Integrated Framework for Environmental Multi‐Impact Spatial Risk Analysis," Risk Analysis, John Wiley & Sons, vol. 39(1), pages 257-273, January.

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