Estimating the relative fitness of escaped farmed salmon offspring in the wild and modelling the consequences of invasion for wild populations

Abstract Throughout their native range, wild Atlantic salmon populations are threatened by hybridization and introgression with escapees from net‐pen salmon aquaculture. Although domestic–wild hybrid offspring have shown reduced fitness in laboratory and field experiments, consequential impacts on p...

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Published in:Evolutionary Applications
Main Authors: Sylvester, Emma V. A., Wringe, Brendan F., Duffy, Steven J., Hamilton, Lorraine C., Fleming, Ian A., Castellani, Marco, Bentzen, Paul, Bradbury, Ian R.
Other Authors: Fisheries and Oceans Canada, Natural Sciences and Engineering Research Council of Canada
Format: Article in Journal/Newspaper
Language:English
Published: Wiley 2019
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Online Access:http://dx.doi.org/10.1111/eva.12746
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spelling crwiley:10.1111/eva.12746 2024-09-15T17:56:20+00:00 Estimating the relative fitness of escaped farmed salmon offspring in the wild and modelling the consequences of invasion for wild populations Sylvester, Emma V. A. Wringe, Brendan F. Duffy, Steven J. Hamilton, Lorraine C. Fleming, Ian A. Castellani, Marco Bentzen, Paul Bradbury, Ian R. Fisheries and Oceans Canada Natural Sciences and Engineering Research Council of Canada 2019 http://dx.doi.org/10.1111/eva.12746 https://api.wiley.com/onlinelibrary/tdm/v1/articles/10.1111%2Feva.12746 https://onlinelibrary.wiley.com/doi/pdf/10.1111/eva.12746 https://onlinelibrary.wiley.com/doi/full-xml/10.1111/eva.12746 en eng Wiley http://creativecommons.org/licenses/by/4.0/ Evolutionary Applications volume 12, issue 4, page 705-717 ISSN 1752-4571 1752-4571 journal-article 2019 crwiley https://doi.org/10.1111/eva.12746 2024-07-30T04:20:43Z Abstract Throughout their native range, wild Atlantic salmon populations are threatened by hybridization and introgression with escapees from net‐pen salmon aquaculture. Although domestic–wild hybrid offspring have shown reduced fitness in laboratory and field experiments, consequential impacts on population abundance and genetic integrity remain difficult to predict in the field, in part because the strength of selection against domestic offspring is often unknown and context‐dependent. Here, we follow a single large escape event of farmed Atlantic salmon in southern Newfoundland and monitor changes in the in‐river proportions of hybrids and feral individuals over time using genetically based hybrid identification. Over a three‐year period following the escape, the overall proportion of wild parr increased consistently (total wild proportion of 71.6%, 75.1% and 87.5% each year, respectively), with subsequent declines in feral (genetically pure farmed individuals originating from escaped, farmed adults) and hybrid parr. We quantify the strength of selection against parr of aquaculture ancestry and explore the genetic and demographic consequences for populations in the region. Within‐cohort changes in the relative proportions of feral and F1 parr suggest reduced relative survival compared to wild individuals over the first (0.15 and 0.81 for feral and F1, respectively) and second years of life (0.26, 0.83). These relative survivorship estimates were used to inform an individual‐based salmon eco‐genetic model to project changes in adult abundance and overall allele frequency across three invasion scenarios ranging from short‐term to long‐term invasion and three relative survival scenarios. Modelling results indicate that total population abundance and time to recovery were greatly affected by relative survivorship and predict significant declines in wild population abundance under continued large escape events and calculated survivorship. Overall, this work demonstrates the importance of estimating the strength of ... Article in Journal/Newspaper Atlantic salmon Newfoundland Wiley Online Library Evolutionary Applications 12 4 705 717
institution Open Polar
collection Wiley Online Library
op_collection_id crwiley
language English
description Abstract Throughout their native range, wild Atlantic salmon populations are threatened by hybridization and introgression with escapees from net‐pen salmon aquaculture. Although domestic–wild hybrid offspring have shown reduced fitness in laboratory and field experiments, consequential impacts on population abundance and genetic integrity remain difficult to predict in the field, in part because the strength of selection against domestic offspring is often unknown and context‐dependent. Here, we follow a single large escape event of farmed Atlantic salmon in southern Newfoundland and monitor changes in the in‐river proportions of hybrids and feral individuals over time using genetically based hybrid identification. Over a three‐year period following the escape, the overall proportion of wild parr increased consistently (total wild proportion of 71.6%, 75.1% and 87.5% each year, respectively), with subsequent declines in feral (genetically pure farmed individuals originating from escaped, farmed adults) and hybrid parr. We quantify the strength of selection against parr of aquaculture ancestry and explore the genetic and demographic consequences for populations in the region. Within‐cohort changes in the relative proportions of feral and F1 parr suggest reduced relative survival compared to wild individuals over the first (0.15 and 0.81 for feral and F1, respectively) and second years of life (0.26, 0.83). These relative survivorship estimates were used to inform an individual‐based salmon eco‐genetic model to project changes in adult abundance and overall allele frequency across three invasion scenarios ranging from short‐term to long‐term invasion and three relative survival scenarios. Modelling results indicate that total population abundance and time to recovery were greatly affected by relative survivorship and predict significant declines in wild population abundance under continued large escape events and calculated survivorship. Overall, this work demonstrates the importance of estimating the strength of ...
author2 Fisheries and Oceans Canada
Natural Sciences and Engineering Research Council of Canada
format Article in Journal/Newspaper
author Sylvester, Emma V. A.
Wringe, Brendan F.
Duffy, Steven J.
Hamilton, Lorraine C.
Fleming, Ian A.
Castellani, Marco
Bentzen, Paul
Bradbury, Ian R.
spellingShingle Sylvester, Emma V. A.
Wringe, Brendan F.
Duffy, Steven J.
Hamilton, Lorraine C.
Fleming, Ian A.
Castellani, Marco
Bentzen, Paul
Bradbury, Ian R.
Estimating the relative fitness of escaped farmed salmon offspring in the wild and modelling the consequences of invasion for wild populations
author_facet Sylvester, Emma V. A.
Wringe, Brendan F.
Duffy, Steven J.
Hamilton, Lorraine C.
Fleming, Ian A.
Castellani, Marco
Bentzen, Paul
Bradbury, Ian R.
author_sort Sylvester, Emma V. A.
title Estimating the relative fitness of escaped farmed salmon offspring in the wild and modelling the consequences of invasion for wild populations
title_short Estimating the relative fitness of escaped farmed salmon offspring in the wild and modelling the consequences of invasion for wild populations
title_full Estimating the relative fitness of escaped farmed salmon offspring in the wild and modelling the consequences of invasion for wild populations
title_fullStr Estimating the relative fitness of escaped farmed salmon offspring in the wild and modelling the consequences of invasion for wild populations
title_full_unstemmed Estimating the relative fitness of escaped farmed salmon offspring in the wild and modelling the consequences of invasion for wild populations
title_sort estimating the relative fitness of escaped farmed salmon offspring in the wild and modelling the consequences of invasion for wild populations
publisher Wiley
publishDate 2019
url http://dx.doi.org/10.1111/eva.12746
https://api.wiley.com/onlinelibrary/tdm/v1/articles/10.1111%2Feva.12746
https://onlinelibrary.wiley.com/doi/pdf/10.1111/eva.12746
https://onlinelibrary.wiley.com/doi/full-xml/10.1111/eva.12746
genre Atlantic salmon
Newfoundland
genre_facet Atlantic salmon
Newfoundland
op_source Evolutionary Applications
volume 12, issue 4, page 705-717
ISSN 1752-4571 1752-4571
op_rights http://creativecommons.org/licenses/by/4.0/
op_doi https://doi.org/10.1111/eva.12746
container_title Evolutionary Applications
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