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Use of geolocators for investigating breeding ecology of a rock crevice‐nesting seabird: Method validation and impact assessment
Investigating ecology of marine animals imposes a continuous challenge due to their temporal and/or spatial unavailability. Light‐based geolocators (GLS) are animal‐borne devices that provide relatively cheap and efficient method to track seabird movement and are commonly used to study migration. He...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10017308/ https://www.ncbi.nlm.nih.gov/pubmed/36937057 http://dx.doi.org/10.1002/ece3.9846 |
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author | Grissot, Antoine Borrel, Clara Devogel, Marion Altmeyer, Lauraleen Johansen, Malin Kjellstadli Strøm, Hallvard Wojczulanis‐Jakubas, Katarzyna |
author_facet | Grissot, Antoine Borrel, Clara Devogel, Marion Altmeyer, Lauraleen Johansen, Malin Kjellstadli Strøm, Hallvard Wojczulanis‐Jakubas, Katarzyna |
author_sort | Grissot, Antoine |
collection | PubMed |
description | Investigating ecology of marine animals imposes a continuous challenge due to their temporal and/or spatial unavailability. Light‐based geolocators (GLS) are animal‐borne devices that provide relatively cheap and efficient method to track seabird movement and are commonly used to study migration. Here, we explore the potential of GLS data to establish individual behavior during the breeding period in a rock crevice‐nesting seabird, the Little Auk, Alle alle. By deploying GLS on 12 breeding pairs, we developed a methodological workflow to extract birds' behavior from GLS data (nest attendance, colony attendance, and foraging activity), and validated its accuracy using behavior extracted from a well‐established method based on video recordings. We also compared breeding outcome, as well as behavioral patterns of logged individuals with a control group treated similarly in all aspects except for the deployment of a logger, to assess short‐term logger effects on fitness and behavior. We found a high accuracy of GLS‐established behavioral patterns, especially during the incubation and early chick rearing period (when birds spend relatively long time in the nest). We observed no apparent effect of logger deployment on breeding outcome of logged pairs, but recorded some behavioral changes in logged individuals (longer incubation bouts and shorter foraging trips). Our study provides a useful framework for establishing behavioral patterns (nest attendance and foraging) of a crevice‐nesting seabird from GLS data (light and conductivity), especially during incubation and early chick rearing period. Given that GLS deployment does not seem to affect the breeding outcome of logged individuals but does affect fine‐scale behavior, our framework is likely to be applicable to a variety of crevice/burrow nesting seabirds, even though precautions should be taken to reduce deployment effect. Finally, because each species may have its own behavioral and ecological specificity, we recommend performing a pilot study before implementing the method in a new study system. |
format | Online Article Text |
id | pubmed-10017308 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-100173082023-03-17 Use of geolocators for investigating breeding ecology of a rock crevice‐nesting seabird: Method validation and impact assessment Grissot, Antoine Borrel, Clara Devogel, Marion Altmeyer, Lauraleen Johansen, Malin Kjellstadli Strøm, Hallvard Wojczulanis‐Jakubas, Katarzyna Ecol Evol Research Articles Investigating ecology of marine animals imposes a continuous challenge due to their temporal and/or spatial unavailability. Light‐based geolocators (GLS) are animal‐borne devices that provide relatively cheap and efficient method to track seabird movement and are commonly used to study migration. Here, we explore the potential of GLS data to establish individual behavior during the breeding period in a rock crevice‐nesting seabird, the Little Auk, Alle alle. By deploying GLS on 12 breeding pairs, we developed a methodological workflow to extract birds' behavior from GLS data (nest attendance, colony attendance, and foraging activity), and validated its accuracy using behavior extracted from a well‐established method based on video recordings. We also compared breeding outcome, as well as behavioral patterns of logged individuals with a control group treated similarly in all aspects except for the deployment of a logger, to assess short‐term logger effects on fitness and behavior. We found a high accuracy of GLS‐established behavioral patterns, especially during the incubation and early chick rearing period (when birds spend relatively long time in the nest). We observed no apparent effect of logger deployment on breeding outcome of logged pairs, but recorded some behavioral changes in logged individuals (longer incubation bouts and shorter foraging trips). Our study provides a useful framework for establishing behavioral patterns (nest attendance and foraging) of a crevice‐nesting seabird from GLS data (light and conductivity), especially during incubation and early chick rearing period. Given that GLS deployment does not seem to affect the breeding outcome of logged individuals but does affect fine‐scale behavior, our framework is likely to be applicable to a variety of crevice/burrow nesting seabirds, even though precautions should be taken to reduce deployment effect. Finally, because each species may have its own behavioral and ecological specificity, we recommend performing a pilot study before implementing the method in a new study system. John Wiley and Sons Inc. 2023-03-15 /pmc/articles/PMC10017308/ /pubmed/36937057 http://dx.doi.org/10.1002/ece3.9846 Text en © 2023 The Authors. Ecology and Evolution published by John Wiley & Sons Ltd. https://creativecommons.org/licenses/by/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Articles Grissot, Antoine Borrel, Clara Devogel, Marion Altmeyer, Lauraleen Johansen, Malin Kjellstadli Strøm, Hallvard Wojczulanis‐Jakubas, Katarzyna Use of geolocators for investigating breeding ecology of a rock crevice‐nesting seabird: Method validation and impact assessment |
title | Use of geolocators for investigating breeding ecology of a rock crevice‐nesting seabird: Method validation and impact assessment |
title_full | Use of geolocators for investigating breeding ecology of a rock crevice‐nesting seabird: Method validation and impact assessment |
title_fullStr | Use of geolocators for investigating breeding ecology of a rock crevice‐nesting seabird: Method validation and impact assessment |
title_full_unstemmed | Use of geolocators for investigating breeding ecology of a rock crevice‐nesting seabird: Method validation and impact assessment |
title_short | Use of geolocators for investigating breeding ecology of a rock crevice‐nesting seabird: Method validation and impact assessment |
title_sort | use of geolocators for investigating breeding ecology of a rock crevice‐nesting seabird: method validation and impact assessment |
topic | Research Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10017308/ https://www.ncbi.nlm.nih.gov/pubmed/36937057 http://dx.doi.org/10.1002/ece3.9846 |
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