Forest Management to Save the Moose in Minnesota
Moose are important, ecologically, culturally, and economically in Minnesota. The largest wild animal in Minnesota, moose populations have declined by 60 percent since 2006, in part because of heat stress during warmer summers and increased frequency of contact with white-tailed deer that transmit deadly parasites.
Forest managers are looking for strategies to improve moose habitat in the near-term while also planning for future forest conditions in a warming climate. This project brings together researchers and forest managers to examine how forest management strategies can reduce the negative impacts of climate change on moose and reduce contact between moose and deer.

Phase 1: Workshop
During a 2023 workshop, moose experts and northeast Minnesota forest managers identified key large- and small-scale moose habitat features. Workshop attendees discussed forestry management techniques that could be used to improve these habitat features in large enough areas to make a difference for moose.
Phase 2: Computer Modeling
The information from the workshop is being used to model the effects of different forest management practices under multiple climate change scenarios using LANDIS (the Landscape Disturbance and Succession model). Results from LANDIS are being compared with moose and deer habitat sustainability maps to understand where the moose and deer could live and forage in the same areas.
Managers can use this information to strategically identify areas that are the most suitable for moose foraging and cover habitat under both current and future forest conditions.
Modeling details
The scientists used another simulation model, LANDIS-II, to estimate forest changes and disturbances by wind, fire, insects and “business as usual” timber harvesting. The disturbance patterns were based on recent history. The scientists also used multiple climate projections (current conditions, RCP4.5, and RCP8.5) to evaluate the impacts of climate change on forest conditions.
Simulations were run for 90 years, representing 2010 through 2100. At 10-year intervals, projected tree species distribution and abundance were used to identify 25 native plant communities in northeastern MN. These were then collapsed into 11 community types for analysis.
Phase 3: Applying the Modeling Results
Scientists are analyzing 10 years of location data from moose wearing radio collars to determine how moose use and move between the forested community types identified in Phase 2. This will include trying to understand how moose use space and select habitat locations in response to short-term weather conditions. A better understanding of moose adaptive behavior to cope with changing weather conditions will help scientists anticipate how moose behavior may change in the future in response to changing climate conditions.
The research team is also designing adaptive forest management scenarios by working with land managers and simulating changing forests using LANDIS. Finally, the scientists intend to determine future habitat availability for moose under different climate and forest management scenarios. Part of this process will include developing maps of suitable habitat for both moose and deer.
People
- Deahn Donner, PhD, Project Leader / Landscape Ecologist, USDA Forest Service
- John Hak, Biological Scientist, USDA Forest Service
- Brian R. Miranda, Lead Ecologist, USDA Forest Service
- Alejandro A. Royo, PhD, Research Ecologist, USDA Forest Service
- Jacob Hurd, Wildlife Technician , USDA Forest Service
- Jessica Fowler, Ecologist, USDA Forest Service
- Michelle Carstensen, Minnesota Department of Natural Resources
- Véronique St-Louis, Minnesota Department of Natural Resources
- Dan Ryan, Wildlife Biologist, USDA Forest Service
- Steve Windels, Voyageur's National Park
- Mike Schrage, Fond du Lac Reservation Resource Management Division
- Amanda McGraw, Wisconsin Department of Natural Resources
- Seth Moore, Grand Portage Band of Chippewa
- Eric Margenau, Post-Doc Research Ecologist, USDA Forest Service