Patterns on a parr: Drivers of long-term salmon parr length in U.K. and French rivers depend on geographical scale
Understanding the geographical scales at which environmental variables affect an individual's body size, and thus their mortality risk, can inform management strategies to help conserve wild populations under climate change. Yet, our current understanding of these relationships is based on stud...
Published in: | Freshwater Biology |
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Online Access: | https://hal.science/hal-01592229 https://doi.org/10.1111/fwb.12929 |
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ftinstagro:oai:HAL:hal-01592229v1 2024-04-28T08:13:34+00:00 Patterns on a parr: Drivers of long-term salmon parr length in U.K. and French rivers depend on geographical scale Gregory, Stephen D. Nevoux, Marie Riley, William D. Beaumont, William R. C. Jeannot, Nicolas Lauridsen, Rasmus B. Marchand, Frédéric Scott, Luke J. Roussel, Jean-Marc Salmon and Trout Research Centre, Game and Wildlife Conservation Trust The Game and Wildlife Conservation Trust Écologie et santé des écosystèmes (ESE) Institut National de la Recherche Agronomique (INRA)-AGROCAMPUS OUEST Centre for Environment, Fisheries and Aquaculture Science (CEFAS) Salmon and Trout Research Centre Unité d'Ecologie et Ecotoxicologie Aquatiques (UEEA) Institut National de la Recherche Agronomique (INRA) Pôle Gest'Aqua Institut National de la Recherche Agronomique (INRA)-Office national de l'eau et des milieux aquatiques (ONEMA) Ministère de l'écologie, du développement durable et de l'énergie-Ministère de l'écologie, du développement durable et de l'énergie interreg France Manche Angleterre 2017 https://hal.science/hal-01592229 https://doi.org/10.1111/fwb.12929 en eng HAL CCSD Wiley info:eu-repo/semantics/altIdentifier/doi/10.1111/fwb.12929 hal-01592229 https://hal.science/hal-01592229 doi:10.1111/fwb.12929 PRODINRA: 398069 WOS: 000403021500001 http://creativecommons.org/licenses/by-sa/ ISSN: 0046-5070 EISSN: 1365-2427 Freshwater Biology https://hal.science/hal-01592229 Freshwater Biology, 2017, 62 (7), pp.1117-1129. ⟨10.1111/fwb.12929⟩ Atlantic salmon body size climate change density dependence geographical scale juvenile selection bayesian model brown trout water temperature body-size density-dependence chinoo [SDV]Life Sciences [q-bio] info:eu-repo/semantics/article Journal articles 2017 ftinstagro https://doi.org/10.1111/fwb.12929 2024-04-03T19:46:22Z Understanding the geographical scales at which environmental variables affect an individual's body size, and thus their mortality risk, can inform management strategies to help conserve wild populations under climate change. Yet, our current understanding of these relationships is based on studies done at different scales that report inconsistent findings. We predicted that temperature-related variables (e.g. winter temperature) influence body size at a regional scale, that is, affecting individuals in geographically independent catchments similarly, whereas non-temperature-related variables (e.g. conspecific competitor density) exert a local influence, that is, affecting individuals in geographically independent catchments differently. We developed statistical models to test our predictions using body length measures of a large and long-term sample of juvenile Atlantic salmon (Salmo salar) from three rivers in the U.K. and France. We developed mixture models to predict the individual juvenile salmon ages objectively from their body length. We then developed linear mixed models to describe inter-annual changes in mean length of the youngest (age 0) cohort of juvenile salmon from river-specific seasonal variables, and tested whether they exerted their influence at a local or regional scale. All models accounted for spatio-temporal differences in sampling protocols and individual reproductive strategy. We estimated and interpreted coefficients using Bayesian theory. Our findings supported our predictions. Juvenile salmon were longer in years of higher overwinter water temperature and this effect was best parameterised as a single regional coefficient applicable to all three rivers. Similarly, spring mean temperature was best parameterised with a single regional nonlinear coefficient. In contrast, juvenile salmon were shorter in years of high densities of competing conspecifics and their interaction with total mean discharge and these effects were represented by local river-specific coefficients. Summer droughts ... Article in Journal/Newspaper Atlantic salmon Salmo salar Portail HAL Institut Agro Freshwater Biology 62 7 1117 1129 |
institution |
Open Polar |
collection |
Portail HAL Institut Agro |
op_collection_id |
ftinstagro |
language |
English |
topic |
Atlantic salmon body size climate change density dependence geographical scale juvenile selection bayesian model brown trout water temperature body-size density-dependence chinoo [SDV]Life Sciences [q-bio] |
spellingShingle |
Atlantic salmon body size climate change density dependence geographical scale juvenile selection bayesian model brown trout water temperature body-size density-dependence chinoo [SDV]Life Sciences [q-bio] Gregory, Stephen D. Nevoux, Marie Riley, William D. Beaumont, William R. C. Jeannot, Nicolas Lauridsen, Rasmus B. Marchand, Frédéric Scott, Luke J. Roussel, Jean-Marc Patterns on a parr: Drivers of long-term salmon parr length in U.K. and French rivers depend on geographical scale |
topic_facet |
Atlantic salmon body size climate change density dependence geographical scale juvenile selection bayesian model brown trout water temperature body-size density-dependence chinoo [SDV]Life Sciences [q-bio] |
description |
Understanding the geographical scales at which environmental variables affect an individual's body size, and thus their mortality risk, can inform management strategies to help conserve wild populations under climate change. Yet, our current understanding of these relationships is based on studies done at different scales that report inconsistent findings. We predicted that temperature-related variables (e.g. winter temperature) influence body size at a regional scale, that is, affecting individuals in geographically independent catchments similarly, whereas non-temperature-related variables (e.g. conspecific competitor density) exert a local influence, that is, affecting individuals in geographically independent catchments differently. We developed statistical models to test our predictions using body length measures of a large and long-term sample of juvenile Atlantic salmon (Salmo salar) from three rivers in the U.K. and France. We developed mixture models to predict the individual juvenile salmon ages objectively from their body length. We then developed linear mixed models to describe inter-annual changes in mean length of the youngest (age 0) cohort of juvenile salmon from river-specific seasonal variables, and tested whether they exerted their influence at a local or regional scale. All models accounted for spatio-temporal differences in sampling protocols and individual reproductive strategy. We estimated and interpreted coefficients using Bayesian theory. Our findings supported our predictions. Juvenile salmon were longer in years of higher overwinter water temperature and this effect was best parameterised as a single regional coefficient applicable to all three rivers. Similarly, spring mean temperature was best parameterised with a single regional nonlinear coefficient. In contrast, juvenile salmon were shorter in years of high densities of competing conspecifics and their interaction with total mean discharge and these effects were represented by local river-specific coefficients. Summer droughts ... |
author2 |
Salmon and Trout Research Centre, Game and Wildlife Conservation Trust The Game and Wildlife Conservation Trust Écologie et santé des écosystèmes (ESE) Institut National de la Recherche Agronomique (INRA)-AGROCAMPUS OUEST Centre for Environment, Fisheries and Aquaculture Science (CEFAS) Salmon and Trout Research Centre Unité d'Ecologie et Ecotoxicologie Aquatiques (UEEA) Institut National de la Recherche Agronomique (INRA) Pôle Gest'Aqua Institut National de la Recherche Agronomique (INRA)-Office national de l'eau et des milieux aquatiques (ONEMA) Ministère de l'écologie, du développement durable et de l'énergie-Ministère de l'écologie, du développement durable et de l'énergie interreg France Manche Angleterre |
format |
Article in Journal/Newspaper |
author |
Gregory, Stephen D. Nevoux, Marie Riley, William D. Beaumont, William R. C. Jeannot, Nicolas Lauridsen, Rasmus B. Marchand, Frédéric Scott, Luke J. Roussel, Jean-Marc |
author_facet |
Gregory, Stephen D. Nevoux, Marie Riley, William D. Beaumont, William R. C. Jeannot, Nicolas Lauridsen, Rasmus B. Marchand, Frédéric Scott, Luke J. Roussel, Jean-Marc |
author_sort |
Gregory, Stephen D. |
title |
Patterns on a parr: Drivers of long-term salmon parr length in U.K. and French rivers depend on geographical scale |
title_short |
Patterns on a parr: Drivers of long-term salmon parr length in U.K. and French rivers depend on geographical scale |
title_full |
Patterns on a parr: Drivers of long-term salmon parr length in U.K. and French rivers depend on geographical scale |
title_fullStr |
Patterns on a parr: Drivers of long-term salmon parr length in U.K. and French rivers depend on geographical scale |
title_full_unstemmed |
Patterns on a parr: Drivers of long-term salmon parr length in U.K. and French rivers depend on geographical scale |
title_sort |
patterns on a parr: drivers of long-term salmon parr length in u.k. and french rivers depend on geographical scale |
publisher |
HAL CCSD |
publishDate |
2017 |
url |
https://hal.science/hal-01592229 https://doi.org/10.1111/fwb.12929 |
genre |
Atlantic salmon Salmo salar |
genre_facet |
Atlantic salmon Salmo salar |
op_source |
ISSN: 0046-5070 EISSN: 1365-2427 Freshwater Biology https://hal.science/hal-01592229 Freshwater Biology, 2017, 62 (7), pp.1117-1129. ⟨10.1111/fwb.12929⟩ |
op_relation |
info:eu-repo/semantics/altIdentifier/doi/10.1111/fwb.12929 hal-01592229 https://hal.science/hal-01592229 doi:10.1111/fwb.12929 PRODINRA: 398069 WOS: 000403021500001 |
op_rights |
http://creativecommons.org/licenses/by-sa/ |
op_doi |
https://doi.org/10.1111/fwb.12929 |
container_title |
Freshwater Biology |
container_volume |
62 |
container_issue |
7 |
container_start_page |
1117 |
op_container_end_page |
1129 |
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1797580030401839104 |