Modeling Cumulative Effects of Climate and Development on Moose, Wolf, and Caribou Populations

• Published in: The Journal of wildlife management 2021-09, Vol.85 (7), p.1355-1376
• Main Authors: REMPEL, ROBERT S., CARLSON, MATTHEW, RODGERS, ARTHUR R., SHUTER, JENNIFER L., FARRELL, CLAIRE E., CAIRNS, DEVIN, STELFOX, BRAD, HUNT, LEN M., MACKERETH, ROBERT W., JACKSON, JANET M.
• Format: Article
• Language: English
• Subjects: Alces alces; Caribou; Climate change; Climate effects; Climate models; cumulative effects assessment; Food security; Interspecific relationships; Land use; Landscape; landscape simulation; Management and Conservation; moose; Population; Population decline; Population dynamics; Predator-prey simulation; Prey; Rangifer tarandus caribou; regional assessment; Simulation; Wildlife habitats; Wildlife management; wolf; Wolves; Woodlands
• ISSN: 0022-541X; 1937-2817
• DOI: 10.1002/jwmg.22094

Wildlife models focused solely on a single strong influence (e.g., habitat components, wildlife harvest) are limited in their ability to detect key mechanisms influencing population change. Instead, we propose integrated modeling in the context of cumulative effects assessment using multispecies population dynamics models linked to landscape-climate simulation at large spatial and temporal scales.We developed an integrated landscape and population simulation model using ALCES Online as the model-building platform, and the model accounted for key ecological components and relationships among moose (Alces alces), grey wolves (Canis lupus nubilus), and woodland caribou (Rangifer tarandus caribou) in northern Ontario, Canada. We simulated multiple scenarios over 5 decades (beginning 2020) to explore sensitivity to climate change and land use and assessed effects at multiple scales. The magnitude of effect and the relative importance of key factors (climate change, roads, and habitat) differed depending on the scale of assessment. Across the full extent of the study area (654,311 km² [ecozonal scale]), the caribou population declined by 26% largely because of climate change and associated predator-prey response, which led to caribou range recession in the southern part of the study area. At the caribou range scale (108,378 km²), which focused on 2 herds in the northern part of the study area, climate change led to a 10% decline in the population and development led to an additional 7% decline. At the project scale (8,331 km²), which was focused more narrowly on the landscape surrounding 4 proposed mines, the caribou population declined by 29% largely in response to simulated development. Given that observed caribou population dynamics were sensitive to the cumulative effects of climate change, land use, interspecific interactions, and scale, insights from the analysis might not emerge under a less complex model. Our integrated modeling framework provides valuable support for broader regional assessments, including estimation of risk to caribou and Indigenous food security, and for developing and evaluating potential caribou recovery strategies.