Body composition data of grizzly bears in the Greater Yellowstone Ecosystem 2000-2020 ...

Understanding evolutionary processes that drive population dynamics is critical in ecology. Measuring the performance-density relationship in long-lived mammalian species demands long-term data, limiting the ability to observe such mechanisms. We tested density-dependent (intrinsic) and density-inde...

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Bibliographic Details
Main Authors: Van, Frank T, Haroldson, Mark A, Bjornlie, Daniel, Thompson, Daniel, Nicholson, Jeremy, Gunther, Kerry, Wilmot, Katharine, Karabensh, Bryn E, Costello, Cecily, Corradini, Andrea, Cagnacci, Francesca
Format: Dataset
Language:unknown
Published: U.S. Geological Survey 2023
Subjects:
Wildlife Biology
Ursus arctos
Online Access:https://dx.doi.org/10.5066/p9qlqsxv
https://www.sciencebase.gov/catalog/item/62ba2b47d34e8f4977cca00a
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Summary:Understanding evolutionary processes that drive population dynamics is critical in ecology. Measuring the performance-density relationship in long-lived mammalian species demands long-term data, limiting the ability to observe such mechanisms. We tested density-dependent (intrinsic) and density-independent (extrinsic) drivers of body composition of grizzly bears (Ursus arctos) in the Greater Yellowstone Ecosystem over two decades. ...

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