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Published on: September 23, 2025
Caribou movement as a correlated random walk.
C M Bergman1, J A Schaefer1, S N Luttich1
1Department of Forest Resources and Agrifoods, Wildlife Division, P.O. Box 3014, Station B, Goose Bay, NF A0P 1E0, Canada, , , , , , CA.
Correlated random walk models accurately predict caribou movement at seasonal scales but overpredict displacement at annual scales. This research enhances understanding of animal movement patterns and ecological modeling.
Area of Science:
- Ecology
- Zoology
- Movement Ecology
Background:
- Animal movement is key to environmental interaction, but empirical analysis is limited.
- Caribou are the most mobile, non-flying terrestrial vertebrates, making them ideal for studying long-distance movements.
Purpose of the Study:
- To test theoretical knowledge of animal movement using correlated random walk (CRW) models and satellite telemetry.
- To investigate long-distance movements of both migratory and sedentary caribou.
Main Methods:
- Quantified individual caribou paths using mean move length and angle.
- Compared net squared displacements to CRW model predictions at different temporal scales.
- Analyzed temporal scales including annual cycles, seasonal behaviors, and short intervals post-calving.
Main Results:
- CRW models overpredicted caribou net displacement over an annual cycle.
- Excellent agreement between CRW predictions and observations occurred at shorter, seasonally defined intervals.
- CRW models overpredicted movement during specific periods (post-calving, late summer, late winter) due to tortuous paths, but underpredicted during spring migration, indicating straighter movements.
Conclusions:
- CRW models are applicable to vast spatial and temporal scales of animal movement.
- Findings assist in developing sophisticated models for population spread and redistribution.
- Understanding caribou movement patterns provides insights into migration and limiting factors.
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