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Methods in field chronobiology

View ORCID ProfileDavide Dominoni, Susanne Åkesson, Raymond Klaassen, Kamiel Spoelstra, View ORCID ProfileMartin Bulla
doi: https://doi.org/10.1101/197541
Davide Dominoni
1Department of Animal Ecology, Netherlands Institute of Ecology, P.O. Box 50, 6700 AB, Wageningen, The Netherlands
2Institute of Biodiversity, Animal Health and Comparative Medicine, University of Glasgow, Glasgow G128QQ, UK
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  • For correspondence: d.dominoni@nioo.knaw.nl
Susanne Åkesson
3Centre for Animal Movement Research, Department of Biology, Lund University, Lund S-223 62, Sweden
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Raymond Klaassen
4Groningen Institute for Evolutionary Life Sciences, University of Groningen, Groningen 9747 AG, The Netherlands
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Kamiel Spoelstra
1Department of Animal Ecology, Netherlands Institute of Ecology, P.O. Box 50, 6700 AB, Wageningen, The Netherlands
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Martin Bulla
5Department of Behavioural Ecology and Evolutionary Genetics, Max Planck Institute for Ornithology, Seewiesen 82319, Germany
6NIOZ Royal Netherlands Institute for Sea Research, Department of Coastal Systems, and Utrecht University, P.O. Box 59, 1790 AB Den Burg, The Netherlands
7Faculty of Environmental Sciences, Czech University of Life Sciences Prague, Prague 16521, Czech Republic
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Summary

Chronobiological research has seen a continuous development of novel approaches and techniques to measure rhythmicity at different levels of biological organization from locomotor activity (e.g. migratory restlessness) to physiology (e.g. temperature and hormone rhythms, and relatively recently also in genes, proteins and metabolites). However, the methodological advancements in this field have been mostly and sometimes exclusively used only in indoor laboratory settings. In parallel, there has been an unprecedented and rapid improvement in our ability to track animals and their behaviour in the wild. However, while the spatial analysis of tracking data is widespread, its temporal aspect is largely unexplored. Here, we review the tools that are available or have potential to record rhythms in the wild animals with emphasis on currently overlooked approaches and monitoring systems. We then demonstrate, in three question-driven case studies, how the integration of traditional and newer approaches can help answer novel chronobiological questions in free-living animals. Finally, we highlight unresolved issues in field chronobiology that may benefit from technological development in the future. As most of the studies in the field are descriptive, the future challenge lies in applying the diverse technologies to experimental set-ups in the wild.

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The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-NC 4.0 International license.
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Posted October 03, 2017.
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Methods in field chronobiology
Davide Dominoni, Susanne Åkesson, Raymond Klaassen, Kamiel Spoelstra, Martin Bulla
bioRxiv 197541; doi: https://doi.org/10.1101/197541
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Methods in field chronobiology
Davide Dominoni, Susanne Åkesson, Raymond Klaassen, Kamiel Spoelstra, Martin Bulla
bioRxiv 197541; doi: https://doi.org/10.1101/197541

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