Benchmark Workshop on Atlantic Salmon (Salmo salar) in the North Atlantic (WKBSALMON)
Publiceringsår
2023
Upphovspersoner
Perälä, Tommi; White, Jonathan; Adams, Grant; April, Julien; Bárðarson, Hlynur; Ahlbeck Bergendahl, Ida; Bolstad, Geir; Breau, Cindy; Bull, Colin; Chaput, Gerald; Cooper, Anne; Dauphin, Guillaume; Erkinaro, Jaakko; Gillson, Jonathan; Gregory, Stephen; Jepsen, Niels; Kermoade, MacKenzie; Lebot, Clément; Legault, Chris; Maxwell, Hugo; McGinnity, Philip; Meerburg, David; Millane, Michael; Nadolna-Ałtyn, Katarzyna; Olmos, Maxime; Ounsley, James; Patin, Rémi; Pedersen, Stig; Rivot, Etienne; Robertson, Martha; Sheehan, Tim; Staveley, Tom; Taylor, Andrew; Walker, Alan; Wennevik, Vidar
Visa merAbstrakt
WKBSalmon reviewed the implementation of a Life Cycle Model (LCM) for wild anadromous Atlantic salmon (Salmo salar L.) covering their natal north Atlantic range. The LCM is a time iterative, Bayesian hierarchical model incorporating salmon records of fifteen countries at 25 stock-units. It tracks salmon of two explicit sea-age streams, namely, one-sea-winter (1SW) and multi-sea-winter (MSW), stock unit specific smolt ages, numbers of salmon returning to stock-units, proportions maturing, survival at sea by month and stock unit specific post-smolt survival rates and proportion maturing at 1SW. Mixed-stock catches at West Greenland and Faroes, as well as those in North America, are designated to stock-units based on observed historic tag data, genetic identification and assumed harvest distributions. The LCM will replace three Pre-Fisheries Abundance (PFA) forecast models, aligned to three management units, one eastern North America and two Northeast Atlantic European complex-es of stock-units. The LCM enables a more comprehensive and consistent approach, account-ing for migration and maturation of salmon by stock-unit and a hierarchical (over stock-units) modelling of post-smolt survival and proportion maturing in the first year at sea. The LCM uses outputs from two “Run Reconstruction” models, one for each of eastern North America and Northeast Atlantic origin salmon. These process catch data and exploitation rates and/or returns at stock-unit spatial scales to estimate returning numbers and catches of salm-on by sea-age group. The LCM model uses a similar sea-age group structure for all stock-units resulting in a harmonized life cycle for Atlantic salmon from the North Atlantic. The LCM forecasts estimates of returning salmon by stock-unit based on the post-smolt survival and proportion maturing parameters, forecast forward as a random-walk, from the most recent observations and accounting for “banked” maturing and non-maturing salmon. Forecast returns to stock-units may be compared to Conservation Limit (CL) reference points and “Spawner Escapement Reserves” (SERs – reference points prior to any marine fishing activities) at national and international levels to quantify the risk to the salmon stocks under different mixed-fisheries catch levels. The LCM was found to provide estimates of stock status and forecasts in line with perceptions and previously used modelling frameworks and to be robust to a range of settings and uncertainties.
Visa merOrganisationer och upphovspersoner
Publikationstyp
Publikationsform
Separat verk
Målgrupp
Facklig
UKM:s publikationstyp
D4 Publicerad utvecklings- eller forskningsrapport eller -utredning
Publikationskanalens uppgifter
Journal/Serie
ICES Scientific Reports
Förläggare
International Council for the Exploration of the Sea
ISSN
Öppen tillgång
Öppen tillgänglighet i förläggarens tjänst
Ja
Öppen tillgång till publikationskanalen
Helt öppen publikationskanal
Parallellsparad
Ja
Övriga uppgifter
Vetenskapsområden
Ekologi, evolutionsbiologi
Nyckelord
[object Object],[object Object],[object Object],[object Object],[object Object]
Publiceringsland
Danmark
Förlagets internationalitet
Internationell
Språk
engelska
Internationell sampublikation
Ja
Sampublikation med ett företag
Nej
DOI
10.17895/ices.pub.24752079
Publikationen ingår i undervisnings- och kulturministeriets datainsamling
Ja