Analysis tools that combine large spatial and temporal scales are necessary for efficient management of wildlife species, such as the burrowing owl (Athene cunicularia). We assessed the ability of Ripley’s K-function analysis integrated into a geographic information system (GIS) to determine changes in burrowing owl nest clustering over two years at NASA Ames Research Center. Specifically, we used these tools to detect changes in spatial and temporal nest clustering before, during and after...Expand abstract
- Publication status:
- Peer review status:
- Peer reviewed
- Accepted Manuscript
- Copyright holder:
- Springer Science & Business Media
- Copyright date:
J. B. Fisher is currently based at the Environmental Change Institute, Oxford University Centre for the Environment.
Citation: Fisher, J. B. et al. (2007)'An analysis of spatial clustering and implications for wildlife management: a burrowing owl example', Environmental Management [Online], 39 (3), 403-411. [The original publication is available at www.springerlink.com].
An analysis of spatial clustering and implications for wildlife management: a burrowing owl example
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