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Ecological Modeling

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Ecological "niche modeling" using presence-only locality data and large-scale environmental variables provides a powerful tool for identifying and mapping suitable habitat for species over large spatial extents. In collaboration with colleagues from USGS, we have developed a new modeling technique that identifies a minimum (rather than an optimum) set of basic habitat requirements for a species, assuming that limiting factors are more likely to be informative concerning a species' distribution. Initial tests of the modeling approach using regional data for California Gnatcatchers suggest that it is robust, and we continue to collect validation data to explore its predictive possibilites at local and regional scales.

People

John Rotenberry, Professor of Biology (email)
Kristin Preston, Professional Researcher (email)
Robert Johnson, GIS Specialist (email)
Cameron Barrows, Desert Studies Initiative Coordinator (email)

Associated Projects

Testing ecological niche models for sensitive coastal sage scrub brid species
University of Californa Davis, Wildlife Health Center, Resource Assessment Program
Principal Investigator: John Rotenberry

Testing ecological niche models for sensitive coastal sage scrub species
Shipley-Skinner-Riverside County
Principal Investigator: John Rotenberry

CDFG Contract for surveys in Sierra Nevada and Riverside County
California Department of Fish and Game
Principal Investigator: John Rotenberry

CALTRANS and CCB: WRCMSHCP Niche Model Task Order
University of Californa Davis and Caltrans
Princippal Investigator: John Rotenberry

Modeling the distribution of plant and animal communities along the Baja California Peninsula
UC MEXUS-CONACYT
Principal Investigator: John Rotenberry

Related Publications

Available Datasets



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