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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Main Authors: Gremillet, David, Lescroel, Amelie, Ballard, Grant, Dugger, Katie M., Massaro, Melanie, Porzig, Elizabeth L., Ainley, David G.
Language:unknown
Published: 2018
Subjects:
Online Access:http://nbn-resolving.org/urn:nbn:nl:ui:13-ov-2bio
https://easy.dans.knaw.nl/ui/datasets/id/easy-dataset:111309
id ftdans:oai:easy.dans.knaw.nl:easy-dataset:111309
record_format openpolar
spelling 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