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MOAB: a spatially explicit, individual-based expert system for creating animal foraging models

Ecological Modelling

By:
and
DOI: 10.1016/S0304-3800(99)00044-7

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Abstract

We describe the development, structure, and corroboration process of a simulation model of animal behavior (MOAB). MOAB can create spatially explicit, individual-based animal foraging models. Users can create or replicate heterogeneous landscape patterns, and place resources and individual animals of a goven species on that landscape to simultaneously simulate the foraging behavior of multiple species. The heuristic rules for animal behavior are maintained in a user-modifiable expert system. MOAB can be used to explore hypotheses concerning the influence of landscape patttern on animal movement and foraging behavior. A red fox (Vulpes vulpes L.) foraging and nest predation model was created to test MOAB's capabilities. Foxes were simulated for 30-day periods using both expert system and random movement rules. Home range size, territory formation and other available simulation studies. A striped skunk (Mephitis mephitis L.) model also was developed. The expert system model proved superior to stochastic in respect to territory formation, general movement patterns and home range size.

Additional Publication Details

Publication type:
Article
Publication Subtype:
Journal Article
Title:
MOAB: a spatially explicit, individual-based expert system for creating animal foraging models
Series title:
Ecological Modelling
DOI:
10.1016/S0304-3800(99)00044-7
Volume
119
Issue:
1
Year Published:
1999
Language:
English
Contributing office(s):
National Wetlands Research Center
Description:
p. 29-41
Larger Work Type:
Article
Larger Work Subtype:
Journal Article
Larger Work Title:
Ecological Modelling
First page:
29
Last page:
41
Number of Pages:
13