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Permanent link (DOI): https://doi.org/10.7939/R3T14TT1B

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Home range analysis using a mechanistic home range model Open Access

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Author or creator
Moorcroft, P. R.
Lewis, M. A.
Crabtree, R.
Additional contributors
Subject/Keyword
Mechanistic models
Territoriality
Carnivora
Home range analysis
Scent marking
Coyotes
Home range models
Canis latrans
Animal movement
Space use
Carnivore
Type of item
Journal Article (Published)
Language
English
Place
Time
Description
The traditional models used to characterize animal home ranges have no mechanistic basis underlying their descriptions of space use, and as a result, the analysis of animal home ranges has primarily been a descriptive endeavor. In this paper, we characterize coyote (Canis latrans) home range patterns using partial differential equations for expected space use that are formally derived from underlying descriptions of individual movement behavior. To our knowledge, this is the first time that mechanistic models have been used to characterize animal home ranges. The results provide empirical support for a model formulation of movement response to scent marks, and suggest that having relocation data for individuals in adjacent groups is necessary to capture the spatial arrangement of home range boundaries. We then show how the model fits can be used to obtain predictions for individual movement and scent marking behavior and to predict changes in home range patterns. More generally, our findings illustrate how mechanistic models permit the development of a predictive theory for the relationship between movement behavior and animal spatial distribution.
Date created
1999
DOI
doi:10.7939/R3T14TT1B
License information
Rights
© 1999 Ecological Society of America. This version of this article is open access and can be downloaded and shared. The original author(s) and source must be cited.
Citation for previous publication
Moorcroft, P.R., Lewis, M.A., Crabtree R. (1999). Home range analysis using a mechanistic home range model. Ecology: 80, 1656-1665. DOI: 10.1890/0012-9658(1999)080[1656:HRAUAM]2.0.CO;2.
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