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Author Archives: Nathan Lyle

Eat or be eaten: Implications of potential exploitative competition between wolves and humans across predator-savvy and predator-naive deer populations

Recolonization of predators to their former ranges is becoming increasingly prevalent. Such recolonization places predators among their prey once again; the latter having lived without predation (from such predators) for a considerable time. This renewed coexistence creates opportunities to explore … read more

Logging, linear features, and human infrastructure shape the spatial dynamics of wolf predation on an ungulate neonate

Humans are increasingly recognized as important players in predator–prey dynamics by modifying landscapes. This trend has been well-documented for large mammal communities in North American boreal forests: logging creates early seral forests that benefit ungulates such as white-tailed deer (Odocoileus … read more

Demographic history shapes North American gray wolf genomic diversity and informs species’ conservation

Effective population size estimates are critical information needed for evolutionary predictions and conservation decisions. This is particularly true for species with social factors that restrict access to breeding or experience repeated fluctuations in population size across generations. Further, if isolated, … read more

Wolves alter the trajectory of forests by shaping the central place foraging behaviour of an ecosystem engineer

Predators can directly and indirectly alter the foraging behaviour of prey through direct predation and the risk of predation, and in doing so, initiate indirect effects that influence myriad species and ecological processes. We describe how wolves indirectly alter the … read more

Wolf Status in Michigan October 2023

Wolves have been part of the Great Lakes fauna since the melting of the last glacier and as such are native to the land area known as Michigan. Stebler (1951) indicated that pioneer documents and museum specimens show wolves were … read more

Developing a cost-effective technique to estimate wolf abundance in Michigan
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