Data from: Age-dependent trait variation: the relative contribution of within-individual change, selective appearance and disappearance in a long-lived seabird
1. Within populations, the expression of phenotypic traits typically varies with age. Such age-dependent trait variation can be caused by within-individual change (improvement, senescence, terminal effects) and/or selective (dis)appearance of certain phenotypes among older age classes. 2. In this st...
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ftdans:oai:easy.dans.knaw.nl:easy-dataset:87405 2023-07-02T03:32:01+02:00 Data from: Age-dependent trait variation: the relative contribution of within-individual change, selective appearance and disappearance in a long-lived seabird Zhang, He Vedder, Oscar Becker, Peter H. Bouwhuis, Sandra 2014-11-21T18:51:47.000+01:00 http://nbn-resolving.org/urn:nbn:nl:ui:13-gx-3jyv https://easy.dans.knaw.nl/ui/datasets/id/easy-dataset:87405 unknown doi:10.5061/dryad.9tk7t/1 doi:10.1111/1365-2656.12321 PMID:25399484 http://nbn-resolving.org/urn:nbn:nl:ui:13-gx-3jyv doi:10.5061/dryad.9tk7t https://easy.dans.knaw.nl/ui/datasets/id/easy-dataset:87405 OPEN_ACCESS: The data are archived in Easy, they are accessible elsewhere through the DOI https://dans.knaw.nl/en/about/organisation-and-policy/legal-information/DANSLicence.pdf Life sciences medicine and health care 2014 ftdans https://doi.org/10.5061/dryad.9tk7t/110.1111/1365-2656.1232110.5061/dryad.9tk7t 2023-06-13T13:16:50Z 1. Within populations, the expression of phenotypic traits typically varies with age. Such age-dependent trait variation can be caused by within-individual change (improvement, senescence, terminal effects) and/or selective (dis)appearance of certain phenotypes among older age classes. 2. In this study we applied two methods (decomposition and mixed-modelling) to attribute age-dependent variation in seven phenological and reproductive traits to within-individual change and selective (dis)appearance, in a long-lived seabird, the common tern (Sterna hirundo). 3. At the population level, all traits, except the probability to breed, improved with age (i.e., phenology advanced and reproductive output increased). Both methods identified within-individual change as the main responsible process, and within individuals, performance improved until age 6-13, before levelling off. In contrast, within individuals, breeding probability decreased to age 10, then levelled off. 4. Effects of selective appearance and disappearance were small, but showed that longer-lived individuals had a higher breeding probability and bred earlier, and that younger recruits performed better throughout life than older recruits in terms of both phenology and reproductive performance. In the year prior to death, individuals advanced reproduction, suggesting terminal investment. 5. The decomposition method attributed more age-dependent trait variation to selective disappearance than the mixed-modelling method: 14-36% versus 0-8%, respectively, which we identify to be due to covariance between rates of within-individual change and selective (dis)appearance leading to biased results from the decomposition method. 6. We conclude that the decomposition method is ideal for visualising processes underlying population change in performance from one age class to the next, but that a mixed-modelling method is required to investigate the significance and relative contribution of age-effects. 7. Considerable variation in the contribution of the different ... Other/Unknown Material Common tern Sterna hirundo Data Archiving and Networked Services (DANS): EASY (KNAW - Koninklijke Nederlandse Akademie van Wetenschappen) |
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Open Polar |
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Data Archiving and Networked Services (DANS): EASY (KNAW - Koninklijke Nederlandse Akademie van Wetenschappen) |
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ftdans |
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topic |
Life sciences medicine and health care |
spellingShingle |
Life sciences medicine and health care Zhang, He Vedder, Oscar Becker, Peter H. Bouwhuis, Sandra Data from: Age-dependent trait variation: the relative contribution of within-individual change, selective appearance and disappearance in a long-lived seabird |
topic_facet |
Life sciences medicine and health care |
description |
1. Within populations, the expression of phenotypic traits typically varies with age. Such age-dependent trait variation can be caused by within-individual change (improvement, senescence, terminal effects) and/or selective (dis)appearance of certain phenotypes among older age classes. 2. In this study we applied two methods (decomposition and mixed-modelling) to attribute age-dependent variation in seven phenological and reproductive traits to within-individual change and selective (dis)appearance, in a long-lived seabird, the common tern (Sterna hirundo). 3. At the population level, all traits, except the probability to breed, improved with age (i.e., phenology advanced and reproductive output increased). Both methods identified within-individual change as the main responsible process, and within individuals, performance improved until age 6-13, before levelling off. In contrast, within individuals, breeding probability decreased to age 10, then levelled off. 4. Effects of selective appearance and disappearance were small, but showed that longer-lived individuals had a higher breeding probability and bred earlier, and that younger recruits performed better throughout life than older recruits in terms of both phenology and reproductive performance. In the year prior to death, individuals advanced reproduction, suggesting terminal investment. 5. The decomposition method attributed more age-dependent trait variation to selective disappearance than the mixed-modelling method: 14-36% versus 0-8%, respectively, which we identify to be due to covariance between rates of within-individual change and selective (dis)appearance leading to biased results from the decomposition method. 6. We conclude that the decomposition method is ideal for visualising processes underlying population change in performance from one age class to the next, but that a mixed-modelling method is required to investigate the significance and relative contribution of age-effects. 7. Considerable variation in the contribution of the different ... |
author |
Zhang, He Vedder, Oscar Becker, Peter H. Bouwhuis, Sandra |
author_facet |
Zhang, He Vedder, Oscar Becker, Peter H. Bouwhuis, Sandra |
author_sort |
Zhang, He |
title |
Data from: Age-dependent trait variation: the relative contribution of within-individual change, selective appearance and disappearance in a long-lived seabird |
title_short |
Data from: Age-dependent trait variation: the relative contribution of within-individual change, selective appearance and disappearance in a long-lived seabird |
title_full |
Data from: Age-dependent trait variation: the relative contribution of within-individual change, selective appearance and disappearance in a long-lived seabird |
title_fullStr |
Data from: Age-dependent trait variation: the relative contribution of within-individual change, selective appearance and disappearance in a long-lived seabird |
title_full_unstemmed |
Data from: Age-dependent trait variation: the relative contribution of within-individual change, selective appearance and disappearance in a long-lived seabird |
title_sort |
data from: age-dependent trait variation: the relative contribution of within-individual change, selective appearance and disappearance in a long-lived seabird |
publishDate |
2014 |
url |
http://nbn-resolving.org/urn:nbn:nl:ui:13-gx-3jyv https://easy.dans.knaw.nl/ui/datasets/id/easy-dataset:87405 |
genre |
Common tern Sterna hirundo |
genre_facet |
Common tern Sterna hirundo |
op_relation |
doi:10.5061/dryad.9tk7t/1 doi:10.1111/1365-2656.12321 PMID:25399484 http://nbn-resolving.org/urn:nbn:nl:ui:13-gx-3jyv doi:10.5061/dryad.9tk7t https://easy.dans.knaw.nl/ui/datasets/id/easy-dataset:87405 |
op_rights |
OPEN_ACCESS: The data are archived in Easy, they are accessible elsewhere through the DOI https://dans.knaw.nl/en/about/organisation-and-policy/legal-information/DANSLicence.pdf |
op_doi |
https://doi.org/10.5061/dryad.9tk7t/110.1111/1365-2656.1232110.5061/dryad.9tk7t |
_version_ |
1770271488479330304 |