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Model predictions for 2020-29 and 2090-99 of average catch, average profits and the probability of negative profits for northern rock sole in Alaska based on fishery monitoring and environmental data collected in 1975 and 2020 (NCEI Accession 0248633)

Average profit (million $) and average catch (thousand tonnes) [median and 90 % intervals] by harvest strategy and the proportion of years with negative profit. Results are shown for projections based on models 0, 8 and 9. The strategies include the average fishing mortality for 2016–20, and strategies based on constant F and the 40-5 harvest control rule. The target fishing mortality for the latter two strategies are F35%, F35, and FMEY. The calculations account for future variation in recruitment about the stock-recruitment and in the parameters of the growth function.

About this Dataset

Updated: 2024-02-22
Metadata Last Updated: 2025-11-19T16:27:57.350Z
Date Created: N/A
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Dataset Owner: N/A

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Title Model predictions for 2020-29 and 2090-99 of average catch, average profits and the probability of negative profits for northern rock sole in Alaska based on fishery monitoring and environmental data collected in 1975 and 2020 (NCEI Accession 0248633)
Description Average profit (million $) and average catch (thousand tonnes) [median and 90 % intervals] by harvest strategy and the proportion of years with negative profit. Results are shown for projections based on models 0, 8 and 9. The strategies include the average fishing mortality for 2016–20, and strategies based on constant F and the 40-5 harvest control rule. The target fishing mortality for the latter two strategies are F35%, F35, and FMEY. The calculations account for future variation in recruitment about the stock-recruitment and in the parameters of the growth function.
Modified 2025-11-19T16:27:57.350Z
Publisher Name N/A
Contact N/A
Keywords 0248633 , CATCH STATISTICS , CATCH STATISTICS - AVERAGES , CATCH STATISTICS - DETAILS , Fish , FISH BIOMASS , FISHERY SURVEY - CATCH MEASUREMENTS - GENERAL , growth rate , mortality rate , biological , model output , NOAA Alaska Fisheries Science Center , University of Washington , University of Washington , NODC Ocean Acidification Scientific Data Stewardship (OADS) , Ocean Carbon and Acidification Data System (OCADS) , US DOC; NOAA; Office of Oceanic and Atmospheric Research; Ocean Acidification Program (OAP) , Bering Sea , Gulf of Alaska , oceanography , DOC/NOAA/NMFS/AFSC > Alaska Fisheries Science Center, National Marine Fisheries Service, NOAA, U.S. Department of Commerce , Ocean Acidification Program (OAP) , Ocean Carbon and Acidification Data System (OCADS) Project , Forecast effects of ocean acidification on Alaska crab and groundfish fisheries , EARTH SCIENCE > AGRICULTURE > AGRICULTURAL AQUATIC SCIENCES > FISHERIES , EARTH SCIENCE > BIOLOGICAL CLASSIFICATION > ANIMALS/VERTEBRATES > FISH , Model output , Lepidopsetta polyxystra , northern rock sole , Catch (2020-29) , Catch (2090-99) , Estimation model , Prob (Neg profit) (2020-29) , Prob (Neg profit) (2090-99) , Profit (2020-29) , Profit (2090-99) , Strategy , True Model , Type of control rule , OCEAN > PACIFIC OCEAN > NORTH PACIFIC OCEAN > BERING SEA , OCEAN > PACIFIC OCEAN > NORTH PACIFIC OCEAN > GULF OF ALASKA , US Eastern Bering Sea , environment , oceans , economy , biota
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