Implications of dispersal in Atlantic salmon: Lessons from a demo-genetic agent-based model

Despite growing evidence of spatial dispersal and gene flow between salmonid populations, the implications of connectivity for adaptation, conservation, and management are still poorly appreciated. Here, we explore the influence of a gradient of dispersal rates on portfolio strength and eco-evolutio...

Full description

Bibliographic Details
Published in:Canadian Journal of Fisheries and Aquatic Sciences
Main Authors: Lamarins, Amaïa, Hugon, Florèn, Piou, Cyril, Papaïx, Julien, Prévost, Etienne, Carlson, Stephanie M., Buoro, Mathieu
Format: Article in Journal/Newspaper
Language:English
Published: 2022
Subjects:
Online Access:http://agritrop.cirad.fr/602582/
http://agritrop.cirad.fr/602582/4/602582.pdf
https://doi.org/10.1139/cjfas-2021-0342
id ftcirad:oai:agritrop.cirad.fr:602582
record_format openpolar
spelling ftcirad:oai:agritrop.cirad.fr:602582 2024-05-19T07:37:33+00:00 Implications of dispersal in Atlantic salmon: Lessons from a demo-genetic agent-based model Lamarins, Amaïa Hugon, Florèn Piou, Cyril Papaïx, Julien Prévost, Etienne Carlson, Stephanie M. Buoro, Mathieu 2022 text http://agritrop.cirad.fr/602582/ http://agritrop.cirad.fr/602582/4/602582.pdf https://doi.org/10.1139/cjfas-2021-0342 eng eng http://agritrop.cirad.fr/602582/ Implications of dispersal in Atlantic salmon: Lessons from a demo-genetic agent-based model. Lamarins Amaïa, Hugon Florèn, Piou Cyril, Papaïx Julien, Prévost Etienne, Carlson Stephanie M., Buoro Mathieu. 2022. Canadian Journal of Fisheries and Aquatic Sciences, 79 (12) : 2025-2042.https://doi.org/10.1139/cjfas-2021-0342 <https://doi.org/10.1139/cjfas-2021-0342> http://agritrop.cirad.fr/602582/4/602582.pdf Cirad license info:eu-repo/semantics/restrictedAccess https://agritrop.cirad.fr/mention_legale.html Canadian Journal of Fisheries and Aquatic Sciences dynamique des populations saumon atlantique modèle de simulation saumon Salmo salar modèle à base d'agents Salmo modèle mathématique http://aims.fao.org/aos/agrovoc/c_6111 http://aims.fao.org/aos/agrovoc/c_690 http://aims.fao.org/aos/agrovoc/c_24242 http://aims.fao.org/aos/agrovoc/c_6756 http://aims.fao.org/aos/agrovoc/c_14037 http://aims.fao.org/aos/agrovoc/c_bb933a59 http://aims.fao.org/aos/agrovoc/c_6755 http://aims.fao.org/aos/agrovoc/c_24199 article info:eu-repo/semantics/article Journal Article info:eu-repo/semantics/publishedVersion 2022 ftcirad https://doi.org/10.1139/cjfas-2021-0342 2024-04-25T00:22:30Z Despite growing evidence of spatial dispersal and gene flow between salmonid populations, the implications of connectivity for adaptation, conservation, and management are still poorly appreciated. Here, we explore the influence of a gradient of dispersal rates on portfolio strength and eco-evolutionary dynamics in a simulated population network of Atlantic salmon (Salmo salar) by extending a demo-genetic agent-based model to a spatially explicit framework. Our model results highlight a nonlinear relationship between dispersal rates and the stability of the metapopulation, resulting in an optimal portfolio effect for dispersal rates around 20%. At local population scale, we also demonstrate phenotypic changes induced by density-dependent effects modulated by dispersal, and a dispersal-induced increase in genetic diversity. We conclude that it is critical to account for complex interactions between dispersal and eco-evolutionary processes and discuss future avenues of research that could be addressed by such modeling approaches to more fully appreciate responses of Atlantic salmon to environmental changes and investigate management actions accordingly. Article in Journal/Newspaper Atlantic salmon Salmo salar CIRAD: Agritrop (Centre de coopération internationale en recherche agronomique pour le développement) Canadian Journal of Fisheries and Aquatic Sciences 79 12 2025 2042
institution Open Polar
collection CIRAD: Agritrop (Centre de coopération internationale en recherche agronomique pour le développement)
op_collection_id ftcirad
language English
topic dynamique des populations
saumon atlantique
modèle de simulation
saumon
Salmo salar
modèle à base d'agents
Salmo
modèle mathématique
http://aims.fao.org/aos/agrovoc/c_6111
http://aims.fao.org/aos/agrovoc/c_690
http://aims.fao.org/aos/agrovoc/c_24242
http://aims.fao.org/aos/agrovoc/c_6756
http://aims.fao.org/aos/agrovoc/c_14037
http://aims.fao.org/aos/agrovoc/c_bb933a59
http://aims.fao.org/aos/agrovoc/c_6755
http://aims.fao.org/aos/agrovoc/c_24199
spellingShingle dynamique des populations
saumon atlantique
modèle de simulation
saumon
Salmo salar
modèle à base d'agents
Salmo
modèle mathématique
http://aims.fao.org/aos/agrovoc/c_6111
http://aims.fao.org/aos/agrovoc/c_690
http://aims.fao.org/aos/agrovoc/c_24242
http://aims.fao.org/aos/agrovoc/c_6756
http://aims.fao.org/aos/agrovoc/c_14037
http://aims.fao.org/aos/agrovoc/c_bb933a59
http://aims.fao.org/aos/agrovoc/c_6755
http://aims.fao.org/aos/agrovoc/c_24199
Lamarins, Amaïa
Hugon, Florèn
Piou, Cyril
Papaïx, Julien
Prévost, Etienne
Carlson, Stephanie M.
Buoro, Mathieu
Implications of dispersal in Atlantic salmon: Lessons from a demo-genetic agent-based model
topic_facet dynamique des populations
saumon atlantique
modèle de simulation
saumon
Salmo salar
modèle à base d'agents
Salmo
modèle mathématique
http://aims.fao.org/aos/agrovoc/c_6111
http://aims.fao.org/aos/agrovoc/c_690
http://aims.fao.org/aos/agrovoc/c_24242
http://aims.fao.org/aos/agrovoc/c_6756
http://aims.fao.org/aos/agrovoc/c_14037
http://aims.fao.org/aos/agrovoc/c_bb933a59
http://aims.fao.org/aos/agrovoc/c_6755
http://aims.fao.org/aos/agrovoc/c_24199
description Despite growing evidence of spatial dispersal and gene flow between salmonid populations, the implications of connectivity for adaptation, conservation, and management are still poorly appreciated. Here, we explore the influence of a gradient of dispersal rates on portfolio strength and eco-evolutionary dynamics in a simulated population network of Atlantic salmon (Salmo salar) by extending a demo-genetic agent-based model to a spatially explicit framework. Our model results highlight a nonlinear relationship between dispersal rates and the stability of the metapopulation, resulting in an optimal portfolio effect for dispersal rates around 20%. At local population scale, we also demonstrate phenotypic changes induced by density-dependent effects modulated by dispersal, and a dispersal-induced increase in genetic diversity. We conclude that it is critical to account for complex interactions between dispersal and eco-evolutionary processes and discuss future avenues of research that could be addressed by such modeling approaches to more fully appreciate responses of Atlantic salmon to environmental changes and investigate management actions accordingly.
format Article in Journal/Newspaper
author Lamarins, Amaïa
Hugon, Florèn
Piou, Cyril
Papaïx, Julien
Prévost, Etienne
Carlson, Stephanie M.
Buoro, Mathieu
author_facet Lamarins, Amaïa
Hugon, Florèn
Piou, Cyril
Papaïx, Julien
Prévost, Etienne
Carlson, Stephanie M.
Buoro, Mathieu
author_sort Lamarins, Amaïa
title Implications of dispersal in Atlantic salmon: Lessons from a demo-genetic agent-based model
title_short Implications of dispersal in Atlantic salmon: Lessons from a demo-genetic agent-based model
title_full Implications of dispersal in Atlantic salmon: Lessons from a demo-genetic agent-based model
title_fullStr Implications of dispersal in Atlantic salmon: Lessons from a demo-genetic agent-based model
title_full_unstemmed Implications of dispersal in Atlantic salmon: Lessons from a demo-genetic agent-based model
title_sort implications of dispersal in atlantic salmon: lessons from a demo-genetic agent-based model
publishDate 2022
url http://agritrop.cirad.fr/602582/
http://agritrop.cirad.fr/602582/4/602582.pdf
https://doi.org/10.1139/cjfas-2021-0342
genre Atlantic salmon
Salmo salar
genre_facet Atlantic salmon
Salmo salar
op_source Canadian Journal of Fisheries and Aquatic Sciences
op_relation http://agritrop.cirad.fr/602582/
Implications of dispersal in Atlantic salmon: Lessons from a demo-genetic agent-based model. Lamarins Amaïa, Hugon Florèn, Piou Cyril, Papaïx Julien, Prévost Etienne, Carlson Stephanie M., Buoro Mathieu. 2022. Canadian Journal of Fisheries and Aquatic Sciences, 79 (12) : 2025-2042.https://doi.org/10.1139/cjfas-2021-0342 <https://doi.org/10.1139/cjfas-2021-0342>
http://agritrop.cirad.fr/602582/4/602582.pdf
op_rights Cirad license
info:eu-repo/semantics/restrictedAccess
https://agritrop.cirad.fr/mention_legale.html
op_doi https://doi.org/10.1139/cjfas-2021-0342
container_title Canadian Journal of Fisheries and Aquatic Sciences
container_volume 79
container_issue 12
container_start_page 2025
op_container_end_page 2042
_version_ 1799476861347037184