Predicting the impacts of escaped farmed Atlantic salmon on wild salmon populations
The escape of Atlantic salmon (Salmo salar) from aquaculture facilities can result in both negative genetic and ecological interactions with wild populations, yet the ability to predict the associated risk to wild populations has remained elusive. Here we assess the potential of a spatiotemporal dat...
Published in: | Canadian Journal of Fisheries and Aquatic Sciences |
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crcansciencepubl:10.1139/cjfas-2017-0386 2024-09-30T14:32:21+00:00 Predicting the impacts of escaped farmed Atlantic salmon on wild salmon populations Keyser, Freya Wringe, Brendan F. Jeffery, Nicholas W. Dempson, J. Brian Duffy, Steven Bradbury, Ian R. 2018 http://dx.doi.org/10.1139/cjfas-2017-0386 http://www.nrcresearchpress.com/doi/full-xml/10.1139/cjfas-2017-0386 http://www.nrcresearchpress.com/doi/pdf/10.1139/cjfas-2017-0386 en eng Canadian Science Publishing http://www.nrcresearchpress.com/page/about/CorporateTextAndDataMining Canadian Journal of Fisheries and Aquatic Sciences volume 75, issue 4, page 506-512 ISSN 0706-652X 1205-7533 journal-article 2018 crcansciencepubl https://doi.org/10.1139/cjfas-2017-0386 2024-09-19T04:09:47Z The escape of Atlantic salmon (Salmo salar) from aquaculture facilities can result in both negative genetic and ecological interactions with wild populations, yet the ability to predict the associated risk to wild populations has remained elusive. Here we assess the potential of a spatiotemporal database of aquaculture facility locations, production estimates, and escape events to predict the distribution of escaped farmed salmon and genetic impacts on wild populations in the Northwest Atlantic. Industry production data, reported escape events, and in-river detections of escaped farmed salmon were collected from across the Northwest Atlantic. Genetic estimates of impact were obtained using single nucleotide polymorphisms (95 loci) representing aquaculture and wild salmon throughout the region (30 populations, 3048 individuals). Both the number of escaped farmed salmon detected at counting facilities and the magnitude of genetic impacts were positively correlated with a cumulative spatial measure of aquaculture production. Our results suggest that the risk of escapees and genetic introgression from wild–farmed salmon interactions can be assessed using information on farm production characteristics. This represents a first step in predicting the impact of existing cage-based farms on wild Atlantic salmon. Article in Journal/Newspaper Atlantic salmon Northwest Atlantic Salmo salar Canadian Science Publishing Canadian Journal of Fisheries and Aquatic Sciences 75 4 506 512 |
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Open Polar |
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Canadian Science Publishing |
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crcansciencepubl |
language |
English |
description |
The escape of Atlantic salmon (Salmo salar) from aquaculture facilities can result in both negative genetic and ecological interactions with wild populations, yet the ability to predict the associated risk to wild populations has remained elusive. Here we assess the potential of a spatiotemporal database of aquaculture facility locations, production estimates, and escape events to predict the distribution of escaped farmed salmon and genetic impacts on wild populations in the Northwest Atlantic. Industry production data, reported escape events, and in-river detections of escaped farmed salmon were collected from across the Northwest Atlantic. Genetic estimates of impact were obtained using single nucleotide polymorphisms (95 loci) representing aquaculture and wild salmon throughout the region (30 populations, 3048 individuals). Both the number of escaped farmed salmon detected at counting facilities and the magnitude of genetic impacts were positively correlated with a cumulative spatial measure of aquaculture production. Our results suggest that the risk of escapees and genetic introgression from wild–farmed salmon interactions can be assessed using information on farm production characteristics. This represents a first step in predicting the impact of existing cage-based farms on wild Atlantic salmon. |
format |
Article in Journal/Newspaper |
author |
Keyser, Freya Wringe, Brendan F. Jeffery, Nicholas W. Dempson, J. Brian Duffy, Steven Bradbury, Ian R. |
spellingShingle |
Keyser, Freya Wringe, Brendan F. Jeffery, Nicholas W. Dempson, J. Brian Duffy, Steven Bradbury, Ian R. Predicting the impacts of escaped farmed Atlantic salmon on wild salmon populations |
author_facet |
Keyser, Freya Wringe, Brendan F. Jeffery, Nicholas W. Dempson, J. Brian Duffy, Steven Bradbury, Ian R. |
author_sort |
Keyser, Freya |
title |
Predicting the impacts of escaped farmed Atlantic salmon on wild salmon populations |
title_short |
Predicting the impacts of escaped farmed Atlantic salmon on wild salmon populations |
title_full |
Predicting the impacts of escaped farmed Atlantic salmon on wild salmon populations |
title_fullStr |
Predicting the impacts of escaped farmed Atlantic salmon on wild salmon populations |
title_full_unstemmed |
Predicting the impacts of escaped farmed Atlantic salmon on wild salmon populations |
title_sort |
predicting the impacts of escaped farmed atlantic salmon on wild salmon populations |
publisher |
Canadian Science Publishing |
publishDate |
2018 |
url |
http://dx.doi.org/10.1139/cjfas-2017-0386 http://www.nrcresearchpress.com/doi/full-xml/10.1139/cjfas-2017-0386 http://www.nrcresearchpress.com/doi/pdf/10.1139/cjfas-2017-0386 |
genre |
Atlantic salmon Northwest Atlantic Salmo salar |
genre_facet |
Atlantic salmon Northwest Atlantic Salmo salar |
op_source |
Canadian Journal of Fisheries and Aquatic Sciences volume 75, issue 4, page 506-512 ISSN 0706-652X 1205-7533 |
op_rights |
http://www.nrcresearchpress.com/page/about/CorporateTextAndDataMining |
op_doi |
https://doi.org/10.1139/cjfas-2017-0386 |
container_title |
Canadian Journal of Fisheries and Aquatic Sciences |
container_volume |
75 |
container_issue |
4 |
container_start_page |
506 |
op_container_end_page |
512 |
_version_ |
1811636528694165504 |