Body composition data of grizzly bears in the Greater Yellowstone Ecosystem 2000-2020
Dates
Publication Date
2023-04-17
Start Date
2000-01-01
End Date
2020-12-31
Citation
Haroldson, M.A., van Manen, F.T., Bjornlie, D.D., Thompson, D.J., Nicholson, J.M., Gunther, K.A., Wilmot, K.R., Karabensh, B.E., Costello, C.M., Corradini, A., and Cagnacci, F., 2023, Body composition data of grizzly bears in the Greater Yellowstone Ecosystem 2000-2020: U.S. Geological Survey data release, https://doi.org/10.5066/P9QLQSXV.
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.
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.
This dataset contains grizzly bear body composition estimates (lean body mass and percentage body fat) and a matching temporal array of a spatially-explicit index of bear population density spans over two decades (2000–2020). It was collected by the Interagency Grizzly Bear Study Team (IGBST) and used to investigate linkages between individual performance and intrinsic and extrinsic factors at the population level.
