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 ...
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 ...
Main Authors: | , , , , |
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Format: | Conference Object |
Language: | unknown |
Published: |
ASC 2014 - Theme session G
2023
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Subjects: | |
Online Access: | https://dx.doi.org/10.17895/ices.pub.24752427.v1 https://ices-library.figshare.com/articles/conference_contribution/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/24752427/1 |
Summary: | 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 ... |
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