Biologging reveals individual variation in behavioural predictability in the wild
1. Recent research highlights the ecological importance of individual variation in behavioural predictability. Individuals may not only differ in their average expression of a behavioural trait (their behavioural type) and in their ability to adjust behaviour to changing environmental conditions (in...
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ftunivfrankfurt:oai:publikationen.ub.uni-frankfurt.de:57143 2023-12-17T10:51:20+01:00 Biologging reveals individual variation in behavioural predictability in the wild Hertel, Anne G. Royauté, Raphaël Zedrosser, Andreas Mueller, Thomas 2020-12-10 application/octet-stream http://publikationen.ub.uni-frankfurt.de/frontdoor/index/index/docId/57143 https://nbn-resolving.org/urn:nbn:de:hebis:30:3-571435 https://doi.org/10.1111/1365-2656.13406 http://publikationen.ub.uni-frankfurt.de/files/57143/container.zip eng eng http://publikationen.ub.uni-frankfurt.de/frontdoor/index/index/docId/57143 urn:nbn:de:hebis:30:3-571435 https://nbn-resolving.org/urn:nbn:de:hebis:30:3-571435 https://doi.org/10.1111/1365-2656.13406 http://publikationen.ub.uni-frankfurt.de/files/57143/container.zip http://creativecommons.org/licenses/by/4.0/ info:eu-repo/semantics/restrictedAccess ddc:590 article doc-type:article 2020 ftunivfrankfurt https://doi.org/10.1111/1365-2656.13406 2023-11-19T23:42:31Z 1. Recent research highlights the ecological importance of individual variation in behavioural predictability. Individuals may not only differ in their average expression of a behavioural trait (their behavioural type) and in their ability to adjust behaviour to changing environmental conditions (individual plasticity), but also in their variability around their average behaviour (predictability). However, quantifying behavioural predictability in the wild has been challenging due to limitations of acquiring sufficient repeated behavioural measures. 2. We here demonstrate how common biologging data can be used to detect individual variation in behavioural predictability in the wild and reveal the coexistence of highly predictable individuals along with unpredictable individuals within the same population. 3. We repeatedly quantified two behaviours—daily movement distance and diurnal activity—in 62 female brown bears Ursus arctos tracked across 187 monitoring years. We calculated behavioural predictability over the short term (50 consecutive monitoring days within 1 year) and long term (across monitoring years) as the residual intra-individual variability (rIIV) of behaviour around the behavioural reaction norm. We tested whether predictability varies systematically across average behavioural types and whether it is correlated across functionally distinct behaviours, that is, daily movement distance and amount of diurnal activity. 4. Brown bears showed individual variation in behavioural predictability from predictable to unpredictable individuals. For example, the standard deviation around the average daily movement distance within one monitoring year varied up to fivefold from 1.1 to 5.5 km across individuals. Individual predictability for both daily movement distance and diurnality was conserved across monitoring years. Individual predictability was correlated with behavioural type where individuals which were on average more diurnal and mobile were also more unpredictable in their behaviour. In contrast, more ... Article in Journal/Newspaper Ursus arctos Publication Server of Goethe University Frankfurt am Main Journal of Animal Ecology 90 3 723 737 |
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Publication Server of Goethe University Frankfurt am Main |
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ftunivfrankfurt |
language |
English |
topic |
ddc:590 |
spellingShingle |
ddc:590 Hertel, Anne G. Royauté, Raphaël Zedrosser, Andreas Mueller, Thomas Biologging reveals individual variation in behavioural predictability in the wild |
topic_facet |
ddc:590 |
description |
1. Recent research highlights the ecological importance of individual variation in behavioural predictability. Individuals may not only differ in their average expression of a behavioural trait (their behavioural type) and in their ability to adjust behaviour to changing environmental conditions (individual plasticity), but also in their variability around their average behaviour (predictability). However, quantifying behavioural predictability in the wild has been challenging due to limitations of acquiring sufficient repeated behavioural measures. 2. We here demonstrate how common biologging data can be used to detect individual variation in behavioural predictability in the wild and reveal the coexistence of highly predictable individuals along with unpredictable individuals within the same population. 3. We repeatedly quantified two behaviours—daily movement distance and diurnal activity—in 62 female brown bears Ursus arctos tracked across 187 monitoring years. We calculated behavioural predictability over the short term (50 consecutive monitoring days within 1 year) and long term (across monitoring years) as the residual intra-individual variability (rIIV) of behaviour around the behavioural reaction norm. We tested whether predictability varies systematically across average behavioural types and whether it is correlated across functionally distinct behaviours, that is, daily movement distance and amount of diurnal activity. 4. Brown bears showed individual variation in behavioural predictability from predictable to unpredictable individuals. For example, the standard deviation around the average daily movement distance within one monitoring year varied up to fivefold from 1.1 to 5.5 km across individuals. Individual predictability for both daily movement distance and diurnality was conserved across monitoring years. Individual predictability was correlated with behavioural type where individuals which were on average more diurnal and mobile were also more unpredictable in their behaviour. In contrast, more ... |
format |
Article in Journal/Newspaper |
author |
Hertel, Anne G. Royauté, Raphaël Zedrosser, Andreas Mueller, Thomas |
author_facet |
Hertel, Anne G. Royauté, Raphaël Zedrosser, Andreas Mueller, Thomas |
author_sort |
Hertel, Anne G. |
title |
Biologging reveals individual variation in behavioural predictability in the wild |
title_short |
Biologging reveals individual variation in behavioural predictability in the wild |
title_full |
Biologging reveals individual variation in behavioural predictability in the wild |
title_fullStr |
Biologging reveals individual variation in behavioural predictability in the wild |
title_full_unstemmed |
Biologging reveals individual variation in behavioural predictability in the wild |
title_sort |
biologging reveals individual variation in behavioural predictability in the wild |
publishDate |
2020 |
url |
http://publikationen.ub.uni-frankfurt.de/frontdoor/index/index/docId/57143 https://nbn-resolving.org/urn:nbn:de:hebis:30:3-571435 https://doi.org/10.1111/1365-2656.13406 http://publikationen.ub.uni-frankfurt.de/files/57143/container.zip |
genre |
Ursus arctos |
genre_facet |
Ursus arctos |
op_relation |
http://publikationen.ub.uni-frankfurt.de/frontdoor/index/index/docId/57143 urn:nbn:de:hebis:30:3-571435 https://nbn-resolving.org/urn:nbn:de:hebis:30:3-571435 https://doi.org/10.1111/1365-2656.13406 http://publikationen.ub.uni-frankfurt.de/files/57143/container.zip |
op_rights |
http://creativecommons.org/licenses/by/4.0/ info:eu-repo/semantics/restrictedAccess |
op_doi |
https://doi.org/10.1111/1365-2656.13406 |
container_title |
Journal of Animal Ecology |
container_volume |
90 |
container_issue |
3 |
container_start_page |
723 |
op_container_end_page |
737 |
_version_ |
1785576570172211200 |