Data from: Accelerometry predicts daily energy expenditure in a bird with high activity levels

Animal ecology is shaped by energy costs, yet it is difficult to measure fine-scale energy expenditure in the wild. Because metabolism is often closely correlated with mechanical work, accelerometers have the potential to provide detailed information on energy expenditure of wild animals over fine t...

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Main Authors: Elliott, Kyle H., LeVaillant, Maryline, Kato, Akiko, Speakman, John, Ropert-Coudert, Yan, Le Vaillant, M., Speakman, J. R.
Format: Other/Unknown Material
Language:unknown
Published: Zenodo 2013
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Online Access:https://doi.org/10.5061/dryad.40gk7
id ftzenodo:oai:zenodo.org:4934771
record_format openpolar
spelling ftzenodo:oai:zenodo.org:4934771 2024-09-15T18:39:06+00:00 Data from: Accelerometry predicts daily energy expenditure in a bird with high activity levels Elliott, Kyle H. LeVaillant, Maryline Kato, Akiko Speakman, John Ropert-Coudert, Yan Le Vaillant, M. Speakman, J. R. 2013-04-22 https://doi.org/10.5061/dryad.40gk7 unknown Zenodo https://doi.org/10.1098/rsbl.2012.0919 https://zenodo.org/communities/dryad https://doi.org/10.5061/dryad.40gk7 oai:zenodo.org:4934771 info:eu-repo/semantics/openAccess Creative Commons Zero v1.0 Universal https://creativecommons.org/publicdomain/zero/1.0/legalcode Uria lomvia thick-billed murre info:eu-repo/semantics/other 2013 ftzenodo https://doi.org/10.5061/dryad.40gk710.1098/rsbl.2012.0919 2024-07-26T18:35:25Z Animal ecology is shaped by energy costs, yet it is difficult to measure fine-scale energy expenditure in the wild. Because metabolism is often closely correlated with mechanical work, accelerometers have the potential to provide detailed information on energy expenditure of wild animals over fine temporal scales. Nonetheless, accelerometry needs to be validated on wild animals, especially across different locomotory modes. We merged data collected on 20 thick-billed murres (Uria lomvia) from miniature accelerometers with measurements of daily energy expenditure over 24 h using doubly labelled water. Across three different locomotory modes (swimming, flying and movement on land), dynamic body acceleration was a good predictor of daily energy expenditure as measured independently by doubly labelled water (R2 = 0.73). The most parsimonious model suggested that different equations were needed to predict energy expenditure from accelerometry for flying than for surface swimming or activity on land (R2 = 0.81). Our results demonstrate that accelerometers can provide an accurate integrated measure of energy expenditure in wild animals using many different locomotory modes. TDR Acc+H2O These are the time-depth recorder files (the .bin files are the binary files from the loggers; the .TXT are the converted files provided by the TAGTALK software.) Each folder is labelled with the individual ID (the band number) of the murre whose doubly-labelled water data appear in the data appendix. After a preamble generated by the software, the date-time, pressure (in dbar) and temperature are provided. DEE calculations Excel spreadsheet shows raw ppm values from blood samples used for measurement of energy expenditure using doubly-labelled water and equations used to convert those ppm values into energy expenditure. Also shown are calculated PDBA (partial dynamic body acceleration) values relative to measured energy expenditure. The "ID" is the band number that can be cross-referenced with the activity/accelerationd data. ... Other/Unknown Material thick-billed murre Uria lomvia uria Zenodo
institution Open Polar
collection Zenodo
op_collection_id ftzenodo
language unknown
topic Uria lomvia
thick-billed murre
spellingShingle Uria lomvia
thick-billed murre
Elliott, Kyle H.
LeVaillant, Maryline
Kato, Akiko
Speakman, John
Ropert-Coudert, Yan
Le Vaillant, M.
Speakman, J. R.
Data from: Accelerometry predicts daily energy expenditure in a bird with high activity levels
topic_facet Uria lomvia
thick-billed murre
description Animal ecology is shaped by energy costs, yet it is difficult to measure fine-scale energy expenditure in the wild. Because metabolism is often closely correlated with mechanical work, accelerometers have the potential to provide detailed information on energy expenditure of wild animals over fine temporal scales. Nonetheless, accelerometry needs to be validated on wild animals, especially across different locomotory modes. We merged data collected on 20 thick-billed murres (Uria lomvia) from miniature accelerometers with measurements of daily energy expenditure over 24 h using doubly labelled water. Across three different locomotory modes (swimming, flying and movement on land), dynamic body acceleration was a good predictor of daily energy expenditure as measured independently by doubly labelled water (R2 = 0.73). The most parsimonious model suggested that different equations were needed to predict energy expenditure from accelerometry for flying than for surface swimming or activity on land (R2 = 0.81). Our results demonstrate that accelerometers can provide an accurate integrated measure of energy expenditure in wild animals using many different locomotory modes. TDR Acc+H2O These are the time-depth recorder files (the .bin files are the binary files from the loggers; the .TXT are the converted files provided by the TAGTALK software.) Each folder is labelled with the individual ID (the band number) of the murre whose doubly-labelled water data appear in the data appendix. After a preamble generated by the software, the date-time, pressure (in dbar) and temperature are provided. DEE calculations Excel spreadsheet shows raw ppm values from blood samples used for measurement of energy expenditure using doubly-labelled water and equations used to convert those ppm values into energy expenditure. Also shown are calculated PDBA (partial dynamic body acceleration) values relative to measured energy expenditure. The "ID" is the band number that can be cross-referenced with the activity/accelerationd data. ...
format Other/Unknown Material
author Elliott, Kyle H.
LeVaillant, Maryline
Kato, Akiko
Speakman, John
Ropert-Coudert, Yan
Le Vaillant, M.
Speakman, J. R.
author_facet Elliott, Kyle H.
LeVaillant, Maryline
Kato, Akiko
Speakman, John
Ropert-Coudert, Yan
Le Vaillant, M.
Speakman, J. R.
author_sort Elliott, Kyle H.
title Data from: Accelerometry predicts daily energy expenditure in a bird with high activity levels
title_short Data from: Accelerometry predicts daily energy expenditure in a bird with high activity levels
title_full Data from: Accelerometry predicts daily energy expenditure in a bird with high activity levels
title_fullStr Data from: Accelerometry predicts daily energy expenditure in a bird with high activity levels
title_full_unstemmed Data from: Accelerometry predicts daily energy expenditure in a bird with high activity levels
title_sort data from: accelerometry predicts daily energy expenditure in a bird with high activity levels
publisher Zenodo
publishDate 2013
url https://doi.org/10.5061/dryad.40gk7
genre thick-billed murre
Uria lomvia
uria
genre_facet thick-billed murre
Uria lomvia
uria
op_relation https://doi.org/10.1098/rsbl.2012.0919
https://zenodo.org/communities/dryad
https://doi.org/10.5061/dryad.40gk7
oai:zenodo.org:4934771
op_rights info:eu-repo/semantics/openAccess
Creative Commons Zero v1.0 Universal
https://creativecommons.org/publicdomain/zero/1.0/legalcode
op_doi https://doi.org/10.5061/dryad.40gk710.1098/rsbl.2012.0919
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