Spatially explicit population models: Current forms and future uses
- Univ. of Georgia, Athens, GA (United States)
- Iowa State Univ., Ames, IA (United States)
- US Forest Service, Arcata, CA (United States)
- Univ. of Michigan, Ann Arbor, MI (United States)
- Humboldt State Univ., Arcata, CA (United States)
- Clemson Univ., SC (United States)
Spatially explicit population models are becoming increasingly useful tools for population ecologists, conservation biologists, and land managers. Models are spatially explicit when they combine a population simulator with a landscaped map that describes the spatial distribution of landscape features. With this map, the locations of habitat patches, individuals, and other items of interest are explicitly incorporated into the model, and the effect of changing landscape features on population dynamics can be studied. In this paper we describe the structure of some spatially explicit models under development and provide examples of current and future research using these models. Spatially explicit models are important tools for investigating scale-related questions in population ecology, especially the response of organisms to habitat change occurring at a variety of spatial and temporal scales. Simulation models that incorporate real-world landscapes, as portrayed by landscape maps created with geographic information systems, are also proving to be crucial in the development of management strategies in response to regional land-use and other global change processes. Spatially explicit population models will increase our ability to accurately model complex landscapes, and therefore should improve both basic ecological knowledge of landscape phenomena and applications of landscape ecology to conservation and management. 58 refs., 1 fig.
- Sponsoring Organization:
- USDOE
- DOE Contract Number:
- FG09-89ER60881; AC09-76SR00819
- OSTI ID:
- 35690
- Journal Information:
- Ecological Applications, Vol. 6, Issue 1; Other Information: PBD: Feb 1995
- Country of Publication:
- United States
- Language:
- English
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