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Modeling the Potential for Critical Habitat

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Applications of Location Analysis

Part of the book series: International Series in Operations Research & Management Science ((ISOR,volume 232))

Abstract

Modeling useful habitat can be a daunting task, especially for territorial species. The classic approach is to develop a wildlife habitat relationship model (WHR) that can be used to predict the presence of a specific animal based upon the geographic distribution of needed habitat elements, which may vary with season and vary when they are raising offspring. For example, the State of California main-tains a geographic database that depicts the possible presence and suitability of 694 terrestrial vertebrates based upon the application of WHR models to geographic data. Conservation planners often estimate the carrying capacity of a habitat for a territorial species by first estimating the total area of suitable habitat and then divid-ing that estimate by the average size of a given territory. Such estimates are approx-imate at best given that suitable habitat is often distributed unevenly across a land-scape. This chapter presents an application of a location model as a means to gen-erate a more accurate estimate of the carrying capacity of a territorial species in the forests of California.

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Acknowledgements

We would like to acknowledge the research funding of the US Forest Service which supported the development of the program Packer and the visualization routine. We also would like to acknowledge the help and assistance from Pat Manley, Pete Stine, and John Keane of the US Forest Service.

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Authors and Affiliations

  1. University of California, 1832 Ellison Hall Santa Barbara, 93106, Santa Barbara, CA, USA

    Richard L. Church & Matthew R. Niblett

  2. USDA Forest Service, PSW Research Station, 1731 Research Park Dr., 95618, Davis, CA, USA

    Ross A. Gerrard

Authors
  1. Richard L. Church
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  2. Matthew R. Niblett
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  3. Ross A. Gerrard
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Corresponding author

Correspondence to Richard L. Church .

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Editors and Affiliations

  1. Faculty of Business Administration, University of New Brunswick, Fredericton, New Brunswick, Canada

    H. A. Eiselt

  2. Department of Electrical Engineering, Pontificia Universidad Católica de Chile, Macul, Chile

    Vladimir Marianov

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© 2015 Springer International Publishing Switzerland

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Church, R., Niblett, M., Gerrard, R. (2015). Modeling the Potential for Critical Habitat. In: Eiselt, H., Marianov, V. (eds) Applications of Location Analysis. International Series in Operations Research & Management Science, vol 232. Springer, Cham. https://doi.org/10.1007/978-3-319-20282-2_6

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