FN Archimer Export Format
PT J
TI Working Group on Southern Horse Mackerel, Anchovy and Sardine (WGHANSA).
BT 
AF ICES
SI LORIENT
   BREST
SE PDG-RBE-HALGO-LTBH
   PDG-RBE-HALGO-LBH
UM DECOD
TC 0
AC ICES
UR https://archimer.ifremer.fr/doc/00867/97925/107038.pdf
LA English
DT Article
CR PELGAS
AB 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 sur-vival rates and proportion maturing at 1SW. Mixed-stock catches at West Greenland and Fa-roes, as well as those in North America, are designated to stock-units based on observed histor-ic 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 processes 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 surviv-al and proportion maturing parameters, forecast forward as a random-walk, from the most recent observations and accounting for “banked” maturing and non-maturing salmon. Fore-cast 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 uncer-tainties. 
PY 2022
SO ICES Scientific Reports/Rapports scientifiques du CIEM
SN 2618-1371
PU ICES Scientific reports
VL 4
IS 51
DI 10.17895/ices.pub.19982720
ID 97925
ER

EF