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Measuring and Predicting Species Presence: Coastal Sage Scrub Case Study

  • Ted J. Case
  • Robert N. Fisher
Chapter

Abstract

In ecological applications of large-scale spatial data to management decisions concerning land planning and conservation, errors and biases may creep into the analysis and decision making at several steps (see Chaps. 1, 2, and 3), including:
  1. Uncertainty in positions of spatial locations of relevant ecological and physiographic features of the landscape.

     
  2. Uncertainty of the type and attributes of land cover at a particular location.

     
  3. Uncertainty in how different land covers at a position in space and the geometric arrangement of land covers nearby might influence an animal species occurrence or distribution, or the magnitude of some ecological process.

     
  4. Uncertainty about the relative importance of each spatial location to the overall success or persistence of a population or ecological process.

     
  5. Uncertainty about how to weight each species or ecological process in determining the overall biodiversity and functioning of ecosystems, local and national resource priorities, and consistency with legislative mandates. We would like to be able to quantify the errors at each step, identify biases, and pass these along to the next analysis step so that our degree of uncertainty regarding potential outcomes is evident at each level (e.g., Stoms et al. 1992).

     

Keywords

Pitfall Trap Amphibian Species Reptile Species Coastal Sage Scrub Drift Fence 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer Science+Business Media New York 2001

Authors and Affiliations

  • Ted J. Case
  • Robert N. Fisher

There are no affiliations available

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