Data from: Energetic fitness: field metabolic rates assessed via 3D accelerometry complement conventional fitness metrics ...
1) Evaluating the fitness of organisms is an essential step towards understanding their responses to environmental change. Connections between energy expenditure and fitness have been postulated for nearly a century. However, testing this premise among wild animals is constrained by difficulties in...
| Main Authors: | , , , , , , |
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| Format: | Dataset |
| Language: | English |
| Published: |
Dryad
2019
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| Subjects: | |
| Online Access: | https://dx.doi.org/10.5061/dryad.n802d https://datadryad.org/stash/dataset/doi:10.5061/dryad.n802d |
| Summary: | 1) Evaluating the fitness of organisms is an essential step towards understanding their responses to environmental change. Connections between energy expenditure and fitness have been postulated for nearly a century. However, testing this premise among wild animals is constrained by difficulties in measuring energy expenditure while simultaneously monitoring conventional fitness metrics such as survival and reproductive output. 2) We addressed this issue by exploring the functional links between field metabolic rate (FMR), body condition, sex, age and reproductive performance in a wild population. 3) We deployed 3D accelerometers on 115 Adélie penguins (Pygoscelis adeliae) during four breeding seasons at one of the largest colonies of this species, Cape Crozier, on Ross Island, Antarctica. The demography of this population has been studied for the past 18 years. From accelerometry recordings, collected for birds of known age and breeding history, we determined the vector of the dynamic body acceleration ... : Energetic fitness dataData on body condition, body size, age, sex, reproductive performance, diving depth, and field metabolic rate (as proxied by mean VeDBA) from 115 Adelie penguins (Pygoscelis adeliae) breeding at Cape Crozier, Ross Sea, Antarctica, 2010-2013. ... |
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