A hierarchical life cycle model for Atlantic salmon stock assessment at the North Atlantic basin scale

Abstract : We developed an integrated hierarchical Bayesian life cycle model that simultaneously estimates the abundance of post-smolts at sea, post-smolt survival rates, and proportions maturing as 1SW, for all SU in Northern Europe, Southern Europe and North America. The model is an age- and stage-based life cycle model that considers 1SW and 2SW life history strategies and harmonizes the life history dynamics among SU in North America and Europe. The new framework brought a major contribution to improve the scientific basis for Atlantic salmon stock assessment. It is a benchmark for the assessment and forecast models currently used by ICES for Atlantic salmon stock assessment in the North Atlantic.
Complete list of metadatas

Cited literature [38 references]  Display  Hide  Download

https://hal-agrocampus-ouest.archives-ouvertes.fr/hal-02138869
Contributor : Catherine Cliquet <>
Submitted on : Friday, May 24, 2019 - 11:15:23 AM
Last modification on : Wednesday, June 5, 2019 - 1:29:07 AM

File

Rivot_Olmos_20191905.00676.pdf
Files produced by the author(s)

Licence


Distributed under a Creative Commons Attribution - NonCommercial - NoDerivatives 4.0 International License

Identifiers

  • HAL Id : hal-02138869, version 1
  • ARXIV : 1905.00676

Citation

Etienne Rivot, Maxime Olmos, Gerald Chaput, Etienne Prévost. A hierarchical life cycle model for Atlantic salmon stock assessment at the North Atlantic basin scale. [Research Report] CES WGNAS Working Paper 2019/26, Agrocampus Ouest. 2019, 83 p. ⟨hal-02138869⟩

Share

Metrics

Record views

26

Files downloads

19