Spatiotemporal variation in size-dependent growth rates in small isolated populations of Arctic charr (Salvelinus alpinus)
As a key life-history trait, growth rates are often used to measure individual performance and to inform parameters in demographic models. Furthermore, intraspecific trait variation generates diversity in nature. Therefore, partitioning out and understanding drivers of spatiotemporal variation in gr...
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The Royal Society
2025-01-01
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Online Access: | https://royalsocietypublishing.org/doi/10.1098/rsos.241802 |
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author | Elizabeth A. Mittell Camille A. Leblanc Bjarni K. Kristjánsson Moira M. Ferguson Katja Räsänen Michael B. Morrissey |
author_facet | Elizabeth A. Mittell Camille A. Leblanc Bjarni K. Kristjánsson Moira M. Ferguson Katja Räsänen Michael B. Morrissey |
author_sort | Elizabeth A. Mittell |
collection | DOAJ |
description | As a key life-history trait, growth rates are often used to measure individual performance and to inform parameters in demographic models. Furthermore, intraspecific trait variation generates diversity in nature. Therefore, partitioning out and understanding drivers of spatiotemporal variation in growth rate is of fundamental interest in ecology and evolution. However, this has rarely been attempted owing to the amount of individual-level data required through both time and space, and issues with missing data in important covariates. Here, we implemented a Bayesian state-space model using individual-level data from 20 populations of Arctic charr (Salvelinus alpinus) across 15 capture occasions, which allowed us to: (i) integrate over the uncertainty of missing recapture records; (ii) robustly estimate size-dependence; and (iii) include a covariate (water temperature) that contained missing data. Interestingly, although there was substantial spatial, temporal and spatiotemporal variation in growth rate, this was only weakly associated with variation in water temperature and almost entirely independent of size, suggesting that spatiotemporal variation in other environmental conditions affected individuals across sizes similarly. This fine-scale spatiotemporal variation emphasizes the importance of local conditions and highlights the potential for spatiotemporal variation in a size-dependent life-history trait, even when environmental conditions are apparently very similar. |
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institution | Kabale University |
issn | 2054-5703 |
language | English |
publishDate | 2025-01-01 |
publisher | The Royal Society |
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series | Royal Society Open Science |
spelling | doaj-art-1f892fdc2203433f826364a1da09bdd22025-01-29T00:06:33ZengThe Royal SocietyRoyal Society Open Science2054-57032025-01-0112110.1098/rsos.241802Spatiotemporal variation in size-dependent growth rates in small isolated populations of Arctic charr (Salvelinus alpinus)Elizabeth A. Mittell0Camille A. Leblanc1Bjarni K. Kristjánsson2Moira M. Ferguson3Katja Räsänen4Michael B. Morrissey5Department of Aquaculture and Fish Biology, Hólar University, Sauðárkrókur, IcelandDepartment of Aquaculture and Fish Biology, Hólar University, Sauðárkrókur, IcelandDepartment of Aquaculture and Fish Biology, Hólar University, Sauðárkrókur, IcelandDepartment of Integrative Biology, University of Guelph, Guelph, Ontario, CanadaDepartment of Aquatic Ecology, EAWAG and Institute of Integrative Biology, ETH‐Zurich, Zurich, SwitzerlandSchool of Biology, University of St Andrews, St Andrews, UKAs a key life-history trait, growth rates are often used to measure individual performance and to inform parameters in demographic models. Furthermore, intraspecific trait variation generates diversity in nature. Therefore, partitioning out and understanding drivers of spatiotemporal variation in growth rate is of fundamental interest in ecology and evolution. However, this has rarely been attempted owing to the amount of individual-level data required through both time and space, and issues with missing data in important covariates. Here, we implemented a Bayesian state-space model using individual-level data from 20 populations of Arctic charr (Salvelinus alpinus) across 15 capture occasions, which allowed us to: (i) integrate over the uncertainty of missing recapture records; (ii) robustly estimate size-dependence; and (iii) include a covariate (water temperature) that contained missing data. Interestingly, although there was substantial spatial, temporal and spatiotemporal variation in growth rate, this was only weakly associated with variation in water temperature and almost entirely independent of size, suggesting that spatiotemporal variation in other environmental conditions affected individuals across sizes similarly. This fine-scale spatiotemporal variation emphasizes the importance of local conditions and highlights the potential for spatiotemporal variation in a size-dependent life-history trait, even when environmental conditions are apparently very similar.https://royalsocietypublishing.org/doi/10.1098/rsos.241802Bayesian state-space modellingcapture–mark–recapturelife-history traitsmissing dataspatial and temporal variation |
spellingShingle | Elizabeth A. Mittell Camille A. Leblanc Bjarni K. Kristjánsson Moira M. Ferguson Katja Räsänen Michael B. Morrissey Spatiotemporal variation in size-dependent growth rates in small isolated populations of Arctic charr (Salvelinus alpinus) Royal Society Open Science Bayesian state-space modelling capture–mark–recapture life-history traits missing data spatial and temporal variation |
title | Spatiotemporal variation in size-dependent growth rates in small isolated populations of Arctic charr (Salvelinus alpinus) |
title_full | Spatiotemporal variation in size-dependent growth rates in small isolated populations of Arctic charr (Salvelinus alpinus) |
title_fullStr | Spatiotemporal variation in size-dependent growth rates in small isolated populations of Arctic charr (Salvelinus alpinus) |
title_full_unstemmed | Spatiotemporal variation in size-dependent growth rates in small isolated populations of Arctic charr (Salvelinus alpinus) |
title_short | Spatiotemporal variation in size-dependent growth rates in small isolated populations of Arctic charr (Salvelinus alpinus) |
title_sort | spatiotemporal variation in size dependent growth rates in small isolated populations of arctic charr salvelinus alpinus |
topic | Bayesian state-space modelling capture–mark–recapture life-history traits missing data spatial and temporal variation |
url | https://royalsocietypublishing.org/doi/10.1098/rsos.241802 |
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