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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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 |
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collection |
Zenodo |
op_collection_id |
ftzenodo |
language |
unknown |
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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 |
_version_ |
1810483490127347712 |