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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Data Archiving and Networked Services (DANS)
2018
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Online Access: | https://doi.org/10.5061/dryad.n802d |
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fttriple:oai:gotriple.eu:50|dedup_wf_001::e8b47e3546f3fda1d60e14b4dc4393b0 2023-05-15T13:56:10+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. 2018-01-01 https://doi.org/10.5061/dryad.n802d undefined unknown Data Archiving and Networked Services (DANS) http://dx.doi.org/10.5061/dryad.n802d https://dx.doi.org/10.5061/dryad.n802d lic_creative-commons oai:easy.dans.knaw.nl:easy-dataset:111309 10.5061/dryad.n802d oai:services.nod.dans.knaw.nl:Products/dans:oai:easy.dans.knaw.nl:easy-dataset:113977 oai:services.nod.dans.knaw.nl:Products/dans:oai:easy.dans.knaw.nl:easy-dataset:111309 oai:easy.dans.knaw.nl:easy-dataset:113977 10|re3data_____::84e123776089ce3c7a33db98d9cd15a8 10|openaire____::9e3be59865b2c1c335d32dae2fe7b254 re3data_____::r3d100000044 10|eurocrisdris::fe4903425d9040f680d8610d9079ea14 10|re3data_____::94816e6421eeb072e7742ce6a9decc5f 10|openaire____::081b82f96300b6a6e3d282bad31cb6e2 Life sciences medicine and health care Daily Energy Expenditure Phenotypic Plasticity Animal energetics pace-of-life syndrome Pygoscelis adeliae animal personalities Antarctica Ross Sea envir geo Dataset https://vocabularies.coar-repositories.org/resource_types/c_ddb1/ 2018 fttriple https://doi.org/10.5061/dryad.n802d 2023-01-22T16:53:26Z 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. 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. Dataset Antarc* Antarctica Pygoscelis adeliae Ross Island Ross Sea Unknown Cape Crozier ENVELOPE(169.400,169.400,-77.517,-77.517) Crozier ENVELOPE(169.400,169.400,-77.517,-77.517) Ross Island Ross Sea |
institution |
Open Polar |
collection |
Unknown |
op_collection_id |
fttriple |
language |
unknown |
topic |
Life sciences medicine and health care Daily Energy Expenditure Phenotypic Plasticity Animal energetics pace-of-life syndrome Pygoscelis adeliae animal personalities Antarctica Ross Sea envir geo |
spellingShingle |
Life sciences medicine and health care Daily Energy Expenditure Phenotypic Plasticity Animal energetics pace-of-life syndrome Pygoscelis adeliae animal personalities Antarctica Ross Sea envir geo 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 Daily Energy Expenditure Phenotypic Plasticity Animal energetics pace-of-life syndrome Pygoscelis adeliae animal personalities Antarctica Ross Sea envir geo |
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. 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. |
format |
Dataset |
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 |
publisher |
Data Archiving and Networked Services (DANS) |
publishDate |
2018 |
url |
https://doi.org/10.5061/dryad.n802d |
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 Ross Sea |
geographic_facet |
Cape Crozier Crozier Ross Island Ross Sea |
genre |
Antarc* Antarctica Pygoscelis adeliae Ross Island Ross Sea |
genre_facet |
Antarc* Antarctica Pygoscelis adeliae Ross Island Ross Sea |
op_source |
oai:easy.dans.knaw.nl:easy-dataset:111309 10.5061/dryad.n802d oai:services.nod.dans.knaw.nl:Products/dans:oai:easy.dans.knaw.nl:easy-dataset:113977 oai:services.nod.dans.knaw.nl:Products/dans:oai:easy.dans.knaw.nl:easy-dataset:111309 oai:easy.dans.knaw.nl:easy-dataset:113977 10|re3data_____::84e123776089ce3c7a33db98d9cd15a8 10|openaire____::9e3be59865b2c1c335d32dae2fe7b254 re3data_____::r3d100000044 10|eurocrisdris::fe4903425d9040f680d8610d9079ea14 10|re3data_____::94816e6421eeb072e7742ce6a9decc5f 10|openaire____::081b82f96300b6a6e3d282bad31cb6e2 |
op_relation |
http://dx.doi.org/10.5061/dryad.n802d https://dx.doi.org/10.5061/dryad.n802d |
op_rights |
lic_creative-commons |
op_doi |
https://doi.org/10.5061/dryad.n802d |
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1766263532359254016 |