Nicholson, C. R., M. D. Berman, C. T. West, G. P. Kofinas, B. Griffith, S. Russell, D. Dugan. Linking Seasonal Climatic Conditions to Caribou Availability: Modeling Sequential Movement Using Satellite-Relocation Data. Ecology and Society, http://dx.doi.org/10.5751/ES-05376-180201
Abstract
Livelihood systems that depend on mobile resources must constantly adapt to change. For people
living in settled communities, environmental changes that affect the distribution of a migratory
species may reduce the availability of a primary food source, with the potential to destabilize the
regional social-ecological system. North American indigenous communities harvesting arctic
caribou represent a social-ecological system for which food security depends on movement
patterns of a migratory resource. Quantitative assessments of physical, ecological, and human
effects on caribou distribution have proven difficult because of the significant inter-annual
variability in seasonal caribou movement patterns. We developed and evaluated a modeling
approach for simulating the distribution of a migratory herd throughout its annual cycle over a
multi-year period. Beginning with previously defined spatial and temporal scales for the model,
we used satellite collar locations for the Porcupine Caribou Herd (Rangifer tarandus granti) to
compute and analyze the season-by-season probabilities of movement between habitat zones
under two alternative climatic conditions for each season. Using these contingent movement
probability tables, we simulated the sequence of caribou movements across the landscape in
response to externally-imposed climate drivers. Statistical tests of predicted seasonal caribou
distribution showed that the predicted distributions were consistent with observed of distribution,
and significantly correlated with subsistence harvest levels for three user communities. Our
approach could be applied to other caribou herds and could be adapted for simulating the
distribution of other ungulates and species with similarly large inter-annual variability in the use
of their range.