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Wolf population research

To come up with another estimate of Michigan’s wolf population, the Department of Natural Resources and partners embarked on a multi-year research project using remote camera surveys in 2022. As a pilot test, researchers set up 200 motion-triggered field cameras along secondary roads and snowmobile trails in the central Upper Peninsula. Individual wolves were identified from the downloaded photos using AI-assisted technology and human review. Following the successful 2022 pilot, researchers set up more than 1,300 remote cameras throughout the U.P. – roughly one camera every 16 square miles. Photos are being downloaded and analyzed annually through 2027 as part of the research project. The first set of data from the project will be released in 2026. The DNR partnered with Michigan State University to complete the work. Collaborators assisting with providing land access or checking cameras on their lands include the U.S. Forest Service, National Park Service, USDA, Keweenaw Bay Indian Community, Nature Conservancy and National Wildlife Refuge System.

Historically, the DNR has estimated the wolf population using a track survey, in which observers examine secondary roads and trails to identify and document wolf tracks. This survey is conducted during the winter when snow is available to see the tracks but also when the wolf population is at its lowest point of the year. Because of this, the track survey is considered a minimum estimate of the wolf population. This minimum estimate was important to demonstrate that wolves have recovered in Michigan. However, with advanced camera and AI-assisted technology, the DNR and its partners can now provide an estimate during the summer when the wolf population is at its highest point of the year.