Reading the crystal ball: using multi‑species stock-­assessment models to predict climate‑driven changes to recruitment, mortality, and biological reference points for Bering  Sea (USA) fisheries

Holsman, Kirstin; Aydin, Kerim; Ianelli, James; Punt, André; Anne Hollowed, Albert Hermann

doi:10.17895/ices.pub.24752427.v1

G3714.pdf (180.38 kB)

Reading the crystal ball: using multi‑species stock-assessment models to predict climate‑driven changes to recruitment, mortality, and biological reference points for Bering Sea (USA) fisheries

conference contribution

posted on 2023-12-18, 10:46 authored by Kirstin Holsman, Kerim Aydin, James Ianelli, André Punt, Anne Hollowed, Albert Hermann

No abstracts are to be cited without prior reference to the author.

Reading the crystal ball: using multi‑species stock-assessment models to predict climate‑driven changes to recruitment, mortality, and biological reference points for Bering Sea (USA) fisheries

History

Symposia

2014 ICES Annual Science Conference, A Coruña, Spain

Session

Theme Session G: Practical advice for implementing marine policy: combining ecosystem and societal indicators in stock and ecosystem assessments

Abstract reference

G:37

Recommended citation

[Authors]. 2014. Reading the crystal ball: using multi‑species stock-assessment models to predict climate‑driven changes to recruitment, mortality, and biological reference points for Bering Sea (USA) fisheries. 2014 ICES Annual Science Conference, A Coruña, Spain. CM 2014/G:37. https://doi.org/10.17895/ices.pub.24752427