Cargando…

Using stable isotopes to infer stock‐specific high‐seas distribution of maturing sockeye salmon in the North Pacific

The stock‐specific distribution of maturing salmon in the North Pacific has been a persistent information gap that has prevented us from determining the ocean conditions experienced by individual stocks. This continues to impede understanding of the role of ocean conditions in stock‐specific populat...

Descripción completa

Detalles Bibliográficos
Autores principales: Espinasse, Boris, Hunt, Brian P. V., Finney, Bruce P., Fryer, Jeffrey K., Bugaev, Alexander V., Pakhomov, Evgeny A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7713939/
https://www.ncbi.nlm.nih.gov/pubmed/33304559
http://dx.doi.org/10.1002/ece3.7022
_version_ 1783618648019042304
author Espinasse, Boris
Hunt, Brian P. V.
Finney, Bruce P.
Fryer, Jeffrey K.
Bugaev, Alexander V.
Pakhomov, Evgeny A.
author_facet Espinasse, Boris
Hunt, Brian P. V.
Finney, Bruce P.
Fryer, Jeffrey K.
Bugaev, Alexander V.
Pakhomov, Evgeny A.
author_sort Espinasse, Boris
collection PubMed
description The stock‐specific distribution of maturing salmon in the North Pacific has been a persistent information gap that has prevented us from determining the ocean conditions experienced by individual stocks. This continues to impede understanding of the role of ocean conditions in stock‐specific population dynamics. We assessed scale archives for 17 sockeye salmon (Oncorhynchus nerka) stocks covering the entire North Pacific, from the Columbia River (Washington State and British Columbia) to Kamchatka Peninsula (Russia), to infer salmon locations during their last growing season before returning to their spawning grounds. The approach used, first pioneered in salmon stocks in the Atlantic, relies on the relationship between temporal changes in δ(13)C in salmon scales and sea surface temperature to estimate salmon distribution based on correlation strength. An advantage of this approach is that it does not require fish sampling at sea, but relies on existing fishery agency collections of salmon scales. Significant correlations were found for 7 of the stocks allowing us to propose plausible feeding grounds. Complementary information from δ(15)N, historical tagging studies, and connectivity analysis were used to further refine distribution estimates. This study is a first step toward estimating stock‐specific distributions of salmon in the North Pacific and provides a basis for the application of the approach to other salmon scale archives. This information has the potential to improve our ability to relate stock dynamics to ocean conditions, ultimately enabling improved stock management. For example, our estimated distributions of Bristol Bay and NE Pacific stocks demonstrated that they occupy different areas with a number of the former being distributed in the high productivity shelf waters of the Aleutian Islands and Bering Sea. This may explain why these stocks seem to have responded differently to changes in ocean conditions, and the long‐term trend of increased productivity of Bristol Bay sockeye.
format Online
Article
Text
id pubmed-7713939
institution National Center for Biotechnology Information
language English
publishDate 2020
publisher John Wiley and Sons Inc.
record_format MEDLINE/PubMed
spelling pubmed-77139392020-12-09 Using stable isotopes to infer stock‐specific high‐seas distribution of maturing sockeye salmon in the North Pacific Espinasse, Boris Hunt, Brian P. V. Finney, Bruce P. Fryer, Jeffrey K. Bugaev, Alexander V. Pakhomov, Evgeny A. Ecol Evol Original Research The stock‐specific distribution of maturing salmon in the North Pacific has been a persistent information gap that has prevented us from determining the ocean conditions experienced by individual stocks. This continues to impede understanding of the role of ocean conditions in stock‐specific population dynamics. We assessed scale archives for 17 sockeye salmon (Oncorhynchus nerka) stocks covering the entire North Pacific, from the Columbia River (Washington State and British Columbia) to Kamchatka Peninsula (Russia), to infer salmon locations during their last growing season before returning to their spawning grounds. The approach used, first pioneered in salmon stocks in the Atlantic, relies on the relationship between temporal changes in δ(13)C in salmon scales and sea surface temperature to estimate salmon distribution based on correlation strength. An advantage of this approach is that it does not require fish sampling at sea, but relies on existing fishery agency collections of salmon scales. Significant correlations were found for 7 of the stocks allowing us to propose plausible feeding grounds. Complementary information from δ(15)N, historical tagging studies, and connectivity analysis were used to further refine distribution estimates. This study is a first step toward estimating stock‐specific distributions of salmon in the North Pacific and provides a basis for the application of the approach to other salmon scale archives. This information has the potential to improve our ability to relate stock dynamics to ocean conditions, ultimately enabling improved stock management. For example, our estimated distributions of Bristol Bay and NE Pacific stocks demonstrated that they occupy different areas with a number of the former being distributed in the high productivity shelf waters of the Aleutian Islands and Bering Sea. This may explain why these stocks seem to have responded differently to changes in ocean conditions, and the long‐term trend of increased productivity of Bristol Bay sockeye. John Wiley and Sons Inc. 2020-11-13 /pmc/articles/PMC7713939/ /pubmed/33304559 http://dx.doi.org/10.1002/ece3.7022 Text en © 2020 The Authors. Ecology and Evolution published by John Wiley & Sons Ltd This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Research
Espinasse, Boris
Hunt, Brian P. V.
Finney, Bruce P.
Fryer, Jeffrey K.
Bugaev, Alexander V.
Pakhomov, Evgeny A.
Using stable isotopes to infer stock‐specific high‐seas distribution of maturing sockeye salmon in the North Pacific
title Using stable isotopes to infer stock‐specific high‐seas distribution of maturing sockeye salmon in the North Pacific
title_full Using stable isotopes to infer stock‐specific high‐seas distribution of maturing sockeye salmon in the North Pacific
title_fullStr Using stable isotopes to infer stock‐specific high‐seas distribution of maturing sockeye salmon in the North Pacific
title_full_unstemmed Using stable isotopes to infer stock‐specific high‐seas distribution of maturing sockeye salmon in the North Pacific
title_short Using stable isotopes to infer stock‐specific high‐seas distribution of maturing sockeye salmon in the North Pacific
title_sort using stable isotopes to infer stock‐specific high‐seas distribution of maturing sockeye salmon in the north pacific
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7713939/
https://www.ncbi.nlm.nih.gov/pubmed/33304559
http://dx.doi.org/10.1002/ece3.7022
work_keys_str_mv AT espinasseboris usingstableisotopestoinferstockspecifichighseasdistributionofmaturingsockeyesalmoninthenorthpacific
AT huntbrianpv usingstableisotopestoinferstockspecifichighseasdistributionofmaturingsockeyesalmoninthenorthpacific
AT finneybrucep usingstableisotopestoinferstockspecifichighseasdistributionofmaturingsockeyesalmoninthenorthpacific
AT fryerjeffreyk usingstableisotopestoinferstockspecifichighseasdistributionofmaturingsockeyesalmoninthenorthpacific
AT bugaevalexanderv usingstableisotopestoinferstockspecifichighseasdistributionofmaturingsockeyesalmoninthenorthpacific
AT pakhomovevgenya usingstableisotopestoinferstockspecifichighseasdistributionofmaturingsockeyesalmoninthenorthpacific