Taking movement data to new depths: Inferring prey availability and patch profitability from seabird foraging behavior
Abstract Detailed information acquired using tracking technology has the potential to provide accurate pictures of the types of movements and behaviors performed by animals. To date, such data have not been widely exploited to provide inferred information about the foraging habitat. We collected dat...
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crwiley:10.1002/ece3.3551 2024-09-09T18:56:26+00:00 Taking movement data to new depths: Inferring prey availability and patch profitability from seabird foraging behavior Chimienti, Marianna Cornulier, Thomas Owen, Ellie Bolton, Mark Davies, Ian M. Travis, Justin M. J. Scott, Beth E. Natural Environment Research Council Royal Society 2017 http://dx.doi.org/10.1002/ece3.3551 https://api.wiley.com/onlinelibrary/tdm/v1/articles/10.1002%2Fece3.3551 https://onlinelibrary.wiley.com/doi/pdf/10.1002/ece3.3551 en eng Wiley http://creativecommons.org/licenses/by/4.0/ Ecology and Evolution volume 7, issue 23, page 10252-10265 ISSN 2045-7758 2045-7758 journal-article 2017 crwiley https://doi.org/10.1002/ece3.3551 2024-08-09T04:26:57Z Abstract Detailed information acquired using tracking technology has the potential to provide accurate pictures of the types of movements and behaviors performed by animals. To date, such data have not been widely exploited to provide inferred information about the foraging habitat. We collected data using multiple sensors ( GPS , time depth recorders, and accelerometers) from two species of diving seabirds, razorbills ( Alca torda , N = 5, from Fair Isle, UK ) and common guillemots ( Uria aalge , N = 2 from Fair Isle and N = 2 from Colonsay, UK ). We used a clustering algorithm to identify pursuit and catching events and the time spent pursuing and catching underwater, which we then used as indicators for inferring prey encounters throughout the water column and responses to changes in prey availability of the areas visited at two levels: individual dives and groups of dives. For each individual dive ( N = 661 for guillemots, 6214 for razorbills), we modeled the number of pursuit and catching events, in relation to dive depth, duration, and type of dive performed (benthic vs. pelagic). For groups of dives ( N = 58 for guillemots, 156 for razorbills), we modeled the total time spent pursuing and catching in relation to time spent underwater. Razorbills performed only pelagic dives, most likely exploiting prey available at shallow depths as indicated by the vertical distribution of pursuit and catching events. In contrast, guillemots were more flexible in their behavior, switching between benthic and pelagic dives. Capture attempt rates indicated that they were exploiting deep prey aggregations. The study highlights how novel analysis of movement data can give new insights into how animals exploit food patches, offering a unique opportunity to comprehend the behavioral ecology behind different movement patterns and understand how animals might respond to changes in prey distributions. Article in Journal/Newspaper Alca torda Uria aalge uria Wiley Online Library Ecology and Evolution 7 23 10252 10265 |
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Open Polar |
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Wiley Online Library |
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crwiley |
language |
English |
description |
Abstract Detailed information acquired using tracking technology has the potential to provide accurate pictures of the types of movements and behaviors performed by animals. To date, such data have not been widely exploited to provide inferred information about the foraging habitat. We collected data using multiple sensors ( GPS , time depth recorders, and accelerometers) from two species of diving seabirds, razorbills ( Alca torda , N = 5, from Fair Isle, UK ) and common guillemots ( Uria aalge , N = 2 from Fair Isle and N = 2 from Colonsay, UK ). We used a clustering algorithm to identify pursuit and catching events and the time spent pursuing and catching underwater, which we then used as indicators for inferring prey encounters throughout the water column and responses to changes in prey availability of the areas visited at two levels: individual dives and groups of dives. For each individual dive ( N = 661 for guillemots, 6214 for razorbills), we modeled the number of pursuit and catching events, in relation to dive depth, duration, and type of dive performed (benthic vs. pelagic). For groups of dives ( N = 58 for guillemots, 156 for razorbills), we modeled the total time spent pursuing and catching in relation to time spent underwater. Razorbills performed only pelagic dives, most likely exploiting prey available at shallow depths as indicated by the vertical distribution of pursuit and catching events. In contrast, guillemots were more flexible in their behavior, switching between benthic and pelagic dives. Capture attempt rates indicated that they were exploiting deep prey aggregations. The study highlights how novel analysis of movement data can give new insights into how animals exploit food patches, offering a unique opportunity to comprehend the behavioral ecology behind different movement patterns and understand how animals might respond to changes in prey distributions. |
author2 |
Natural Environment Research Council Royal Society |
format |
Article in Journal/Newspaper |
author |
Chimienti, Marianna Cornulier, Thomas Owen, Ellie Bolton, Mark Davies, Ian M. Travis, Justin M. J. Scott, Beth E. |
spellingShingle |
Chimienti, Marianna Cornulier, Thomas Owen, Ellie Bolton, Mark Davies, Ian M. Travis, Justin M. J. Scott, Beth E. Taking movement data to new depths: Inferring prey availability and patch profitability from seabird foraging behavior |
author_facet |
Chimienti, Marianna Cornulier, Thomas Owen, Ellie Bolton, Mark Davies, Ian M. Travis, Justin M. J. Scott, Beth E. |
author_sort |
Chimienti, Marianna |
title |
Taking movement data to new depths: Inferring prey availability and patch profitability from seabird foraging behavior |
title_short |
Taking movement data to new depths: Inferring prey availability and patch profitability from seabird foraging behavior |
title_full |
Taking movement data to new depths: Inferring prey availability and patch profitability from seabird foraging behavior |
title_fullStr |
Taking movement data to new depths: Inferring prey availability and patch profitability from seabird foraging behavior |
title_full_unstemmed |
Taking movement data to new depths: Inferring prey availability and patch profitability from seabird foraging behavior |
title_sort |
taking movement data to new depths: inferring prey availability and patch profitability from seabird foraging behavior |
publisher |
Wiley |
publishDate |
2017 |
url |
http://dx.doi.org/10.1002/ece3.3551 https://api.wiley.com/onlinelibrary/tdm/v1/articles/10.1002%2Fece3.3551 https://onlinelibrary.wiley.com/doi/pdf/10.1002/ece3.3551 |
genre |
Alca torda Uria aalge uria |
genre_facet |
Alca torda Uria aalge uria |
op_source |
Ecology and Evolution volume 7, issue 23, page 10252-10265 ISSN 2045-7758 2045-7758 |
op_rights |
http://creativecommons.org/licenses/by/4.0/ |
op_doi |
https://doi.org/10.1002/ece3.3551 |
container_title |
Ecology and Evolution |
container_volume |
7 |
container_issue |
23 |
container_start_page |
10252 |
op_container_end_page |
10265 |
_version_ |
1809816992095404032 |