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...
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ftdans:oai:easy.dans.knaw.nl:easy-dataset:111309 2023-07-02T03:29:57+02:00 Data from: Energetic fitness: field metabolic rates assessed via 3D accelerometry complement conventional fitness metrics Gremillet, David Lescroel, Amelie Ballard, Grant Dugger, Katie M. Massaro, Melanie Porzig, Elizabeth L. Ainley, David G. 2018-02-22T23:12:32.000+01:00 http://nbn-resolving.org/urn:nbn:nl:ui:13-ov-2bio https://easy.dans.knaw.nl/ui/datasets/id/easy-dataset:111309 unknown doi:10.5061/dryad.n802d/1 doi:10.1111/1365-2435.13074 http://nbn-resolving.org/urn:nbn:nl:ui:13-ov-2bio doi:10.5061/dryad.n802d https://easy.dans.knaw.nl/ui/datasets/id/easy-dataset:111309 OPEN_ACCESS: The data are archived in Easy, they are accessible elsewhere through the DOI https://dans.knaw.nl/en/about/organisation-and-policy/legal-information/DANSLicence.pdf Life sciences medicine and health care 2018 ftdans https://doi.org/10.5061/dryad.n802d/110.1111/1365-2435.1307410.5061/dryad.n802d 2023-06-13T13:31:59Z 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 (VeDBA) and used it as a proxy for FMR. 4) This allowed us to demonstrate relationships between FMR, a breeding quality index (BQI), and body condition. Notably, we found a significant quadratic relationship between mean VeDBA during foraging and BQI for experienced breeders, and individuals in better body condition showed lower rates of energy expenditure. 5) We conclude that using FMR as a fitness component complementary to more conventional fitness metrics will yield greater understanding of evolutionary and conservation physiology. Other/Unknown Material Antarc* Antarctica Pygoscelis adeliae Ross Island Data Archiving and Networked Services (DANS): EASY (KNAW - Koninklijke Nederlandse Akademie van Wetenschappen) Cape Crozier ENVELOPE(169.400,169.400,-77.517,-77.517) Crozier ENVELOPE(169.400,169.400,-77.517,-77.517) Ross Island |
institution |
Open Polar |
collection |
Data Archiving and Networked Services (DANS): EASY (KNAW - Koninklijke Nederlandse Akademie van Wetenschappen) |
op_collection_id |
ftdans |
language |
unknown |
topic |
Life sciences medicine and health care |
spellingShingle |
Life sciences medicine and health care Gremillet, David Lescroel, Amelie Ballard, Grant Dugger, Katie M. Massaro, Melanie Porzig, Elizabeth L. Ainley, David G. Data from: Energetic fitness: field metabolic rates assessed via 3D accelerometry complement conventional fitness metrics |
topic_facet |
Life sciences medicine and health care |
description |
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 (VeDBA) and used it as a proxy for FMR. 4) This allowed us to demonstrate relationships between FMR, a breeding quality index (BQI), and body condition. Notably, we found a significant quadratic relationship between mean VeDBA during foraging and BQI for experienced breeders, and individuals in better body condition showed lower rates of energy expenditure. 5) We conclude that using FMR as a fitness component complementary to more conventional fitness metrics will yield greater understanding of evolutionary and conservation physiology. |
author |
Gremillet, David Lescroel, Amelie Ballard, Grant Dugger, Katie M. Massaro, Melanie Porzig, Elizabeth L. Ainley, David G. |
author_facet |
Gremillet, David Lescroel, Amelie Ballard, Grant Dugger, Katie M. Massaro, Melanie Porzig, Elizabeth L. Ainley, David G. |
author_sort |
Gremillet, David |
title |
Data from: Energetic fitness: field metabolic rates assessed via 3D accelerometry complement conventional fitness metrics |
title_short |
Data from: Energetic fitness: field metabolic rates assessed via 3D accelerometry complement conventional fitness metrics |
title_full |
Data from: Energetic fitness: field metabolic rates assessed via 3D accelerometry complement conventional fitness metrics |
title_fullStr |
Data from: Energetic fitness: field metabolic rates assessed via 3D accelerometry complement conventional fitness metrics |
title_full_unstemmed |
Data from: Energetic fitness: field metabolic rates assessed via 3D accelerometry complement conventional fitness metrics |
title_sort |
data from: energetic fitness: field metabolic rates assessed via 3d accelerometry complement conventional fitness metrics |
publishDate |
2018 |
url |
http://nbn-resolving.org/urn:nbn:nl:ui:13-ov-2bio https://easy.dans.knaw.nl/ui/datasets/id/easy-dataset:111309 |
long_lat |
ENVELOPE(169.400,169.400,-77.517,-77.517) ENVELOPE(169.400,169.400,-77.517,-77.517) |
geographic |
Cape Crozier Crozier Ross Island |
geographic_facet |
Cape Crozier Crozier Ross Island |
genre |
Antarc* Antarctica Pygoscelis adeliae Ross Island |
genre_facet |
Antarc* Antarctica Pygoscelis adeliae Ross Island |
op_relation |
doi:10.5061/dryad.n802d/1 doi:10.1111/1365-2435.13074 http://nbn-resolving.org/urn:nbn:nl:ui:13-ov-2bio doi:10.5061/dryad.n802d https://easy.dans.knaw.nl/ui/datasets/id/easy-dataset:111309 |
op_rights |
OPEN_ACCESS: The data are archived in Easy, they are accessible elsewhere through the DOI https://dans.knaw.nl/en/about/organisation-and-policy/legal-information/DANSLicence.pdf |
op_doi |
https://doi.org/10.5061/dryad.n802d/110.1111/1365-2435.1307410.5061/dryad.n802d |
_version_ |
1770273810675662848 |