Salmon on the lam: Drivers of escaped farmed fish abundance in rivers

Abstract: The production of Atlantic salmon in aquaculture has grown substantially over the last 40 years. The unintentional release of domesticated salmon poses a significant risk to the long-term persistence of wild Atlantic salmon populations through ecological interactions and genetic introgress...

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Main Authors: Mahlum, Shad, Vollset, Knut Wiik, Barlaup, Bjørn T., Skoglund, Helge, Velle, Gaute
Format: Dataset
Language:unknown
Published: Zenodo 2020
Subjects:
Online Access:https://dx.doi.org/10.5281/zenodo.4279167
https://zenodo.org/record/4279167
id ftdatacite:10.5281/zenodo.4279167
record_format openpolar
spelling ftdatacite:10.5281/zenodo.4279167 2023-05-15T15:29:16+02:00 Salmon on the lam: Drivers of escaped farmed fish abundance in rivers Mahlum, Shad Vollset, Knut Wiik Barlaup, Bjørn T. Skoglund, Helge Velle, Gaute 2020 https://dx.doi.org/10.5281/zenodo.4279167 https://zenodo.org/record/4279167 unknown Zenodo https://dx.doi.org/10.5281/zenodo.4279168 Open Access Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode cc-by-4.0 info:eu-repo/semantics/openAccess CC-BY dataset Dataset 2020 ftdatacite https://doi.org/10.5281/zenodo.4279167 https://doi.org/10.5281/zenodo.4279168 2021-11-05T12:55:41Z Abstract: The production of Atlantic salmon in aquaculture has grown substantially over the last 40 years. The unintentional release of domesticated salmon poses a significant risk to the long-term persistence of wild Atlantic salmon populations through ecological interactions and genetic introgression. Our ability to link aquaculture production to farmed escaped salmon in rivers is still limited and hinders identifying the appropriate production capacity of salmon aquaculture to reduce unwanted interactions between wild and escaped Atlantic salmon. Here, we use a 14-year dataset of farmed escapee abundance in rivers to model how the a priori selected covariables of wild salmon abundance, aquaculture intensity, river discharge, hydropower, and fjord placement of the river affects escapee abundance across 54 rivers in western Norway. Then, we evaluate the predictive strength of the model to provide context for its use to minimize escapees. We found that the abundance of farmed escaped Atlantic salmon in rivers is correlated to aquaculture intensity. Furthermore, the abundance of wild Atlantic salmon, mean yearly discharge, and the interaction between fjord placement and wild salmon abundance were important predictors of escapee abundance in rivers. The model was 40% accurate when predicting the abundance of farmed escaped salmon in rivers. However, the accuracy improved to 75% when using risk categories derived from modeled intrusion rates that induced long-term genetic changes to the wild population (low < 4%, medium 4 – 10%, and high > 10% escaped farmed salmon). Synthesis and applications: This study links aquaculture production, at relevant spatiotemporal scales (75 km from rivers), to the abundance of escaped farmed Atlantic salmon in rivers, and provides governmental agencies with a tool to help regulate domesticated salmon production based on the carrying capacity of the system to buffer against introgression between conspecifics. Furthermore, understanding this relationship will be beneficial when establishing new aquaculture sites in pristine ecosystems where they would overlap with wild Atlantic salmon. Finally, future mitigation efforts should continue to focus on new technologies (e.g., triploid females) that can eliminate the risk of introgression without limiting aquaculture production. Dataset Atlantic salmon DataCite Metadata Store (German National Library of Science and Technology) Norway
institution Open Polar
collection DataCite Metadata Store (German National Library of Science and Technology)
op_collection_id ftdatacite
language unknown
description Abstract: The production of Atlantic salmon in aquaculture has grown substantially over the last 40 years. The unintentional release of domesticated salmon poses a significant risk to the long-term persistence of wild Atlantic salmon populations through ecological interactions and genetic introgression. Our ability to link aquaculture production to farmed escaped salmon in rivers is still limited and hinders identifying the appropriate production capacity of salmon aquaculture to reduce unwanted interactions between wild and escaped Atlantic salmon. Here, we use a 14-year dataset of farmed escapee abundance in rivers to model how the a priori selected covariables of wild salmon abundance, aquaculture intensity, river discharge, hydropower, and fjord placement of the river affects escapee abundance across 54 rivers in western Norway. Then, we evaluate the predictive strength of the model to provide context for its use to minimize escapees. We found that the abundance of farmed escaped Atlantic salmon in rivers is correlated to aquaculture intensity. Furthermore, the abundance of wild Atlantic salmon, mean yearly discharge, and the interaction between fjord placement and wild salmon abundance were important predictors of escapee abundance in rivers. The model was 40% accurate when predicting the abundance of farmed escaped salmon in rivers. However, the accuracy improved to 75% when using risk categories derived from modeled intrusion rates that induced long-term genetic changes to the wild population (low < 4%, medium 4 – 10%, and high > 10% escaped farmed salmon). Synthesis and applications: This study links aquaculture production, at relevant spatiotemporal scales (75 km from rivers), to the abundance of escaped farmed Atlantic salmon in rivers, and provides governmental agencies with a tool to help regulate domesticated salmon production based on the carrying capacity of the system to buffer against introgression between conspecifics. Furthermore, understanding this relationship will be beneficial when establishing new aquaculture sites in pristine ecosystems where they would overlap with wild Atlantic salmon. Finally, future mitigation efforts should continue to focus on new technologies (e.g., triploid females) that can eliminate the risk of introgression without limiting aquaculture production.
format Dataset
author Mahlum, Shad
Vollset, Knut Wiik
Barlaup, Bjørn T.
Skoglund, Helge
Velle, Gaute
spellingShingle Mahlum, Shad
Vollset, Knut Wiik
Barlaup, Bjørn T.
Skoglund, Helge
Velle, Gaute
Salmon on the lam: Drivers of escaped farmed fish abundance in rivers
author_facet Mahlum, Shad
Vollset, Knut Wiik
Barlaup, Bjørn T.
Skoglund, Helge
Velle, Gaute
author_sort Mahlum, Shad
title Salmon on the lam: Drivers of escaped farmed fish abundance in rivers
title_short Salmon on the lam: Drivers of escaped farmed fish abundance in rivers
title_full Salmon on the lam: Drivers of escaped farmed fish abundance in rivers
title_fullStr Salmon on the lam: Drivers of escaped farmed fish abundance in rivers
title_full_unstemmed Salmon on the lam: Drivers of escaped farmed fish abundance in rivers
title_sort salmon on the lam: drivers of escaped farmed fish abundance in rivers
publisher Zenodo
publishDate 2020
url https://dx.doi.org/10.5281/zenodo.4279167
https://zenodo.org/record/4279167
geographic Norway
geographic_facet Norway
genre Atlantic salmon
genre_facet Atlantic salmon
op_relation https://dx.doi.org/10.5281/zenodo.4279168
op_rights Open Access
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
cc-by-4.0
info:eu-repo/semantics/openAccess
op_rightsnorm CC-BY
op_doi https://doi.org/10.5281/zenodo.4279167
https://doi.org/10.5281/zenodo.4279168
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