Andrea Litt

Associate Professor

Montana State University
Country flagUnited States

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About

Andrea Litt is an Associate Professor at Montana State University in the United States. Her research areas include animal behavior and ecology, particularly focusing on responses of various bear species to environmental changes and recreation. Recent articles highlight her work on grizzly bears and American black bears, including their habitat selection and responses to resource availability. She is also exploring broader ecological frameworks to understand animal responses to plant invasions.

Articles (11)

Year:

2025

Year:

2024

Year:

2024

The quality and availability of resources are known to influence spatial patterns of animal density. In Yellowstone National Park, relationships between the availability of resources and the distribution of grizzly bears ( Ursus arctos ) have been explored but have yet to be examined in American black bears ( Ursus americanus ). We conducted non‐invasive genetic sampling during 2017–2018 (mid‐May to mid‐July) and applied spatially explicit capture‐recapture models to estimate density of black bears and examine associations with landscape features. In both years, density estimates were higher in forested vegetation communities, which provide food resources and thermal and security cover preferred by black bears, compared with non‐forested areas. In 2017, density also varied by sex, with female densities being higher than males. Based on our estimates, the northern range of Yellowstone National Park supports one of the highest densities of black bears (20 black bears/100 km 2 ) in the northern Rocky Mountains (6–12 black bears/100 km 2 in other regions). Given these high densities, black bears could influence other wildlife populations more than previously thought, such as through displacement of sympatric predators from kills. Our study provides the first spatially explicit estimates of density for black bears within an ecosystem that contains the majority of North America's large mammal species. Our density estimates provide a baseline that can be used for future research and management decisions of black bears, including efforts to reduce human–bear conflicts.

Year:

2023

Year:

2022

Year:

2022

Year:

2021

Year:

2021

Year:

2021

Year:

2021

Year:

2020

Collaborators (2)

Frank T. van Manen

-

UNITED STATES
View details

Jerod A. Merkle

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UNITED STATES
View details
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