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Model predictions for 2020 and 2090 of ocean acidification and temperature effects on the relationship between fishing effort and profit for northern rock sole (Lepidopsetta polyxystra) in Alaska based on fishery monitoring and environmental data collected in 1975 and 2020 (NCEI Accession 0248632)


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            title:  Model predictions for 2020 and 2090 of ocean acidification and temperature effects on the relationship between fishing effort and profit for northern rock sole (Lepidopsetta polyxystra) in Alaska based on fishery monitoring and environmental data collected in 1975 and 2020 (NCEI Accession 0248632)
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                date:  2022-03-09
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                  Anchor:  DOI 10.25921/52hk-5g23
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                  Anchor:  https://www.ncei.noaa.gov/archive/archive-management-system/OAS/bin/prd/jquery/person/details/5604 André E. Punt
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                  Anchor:  https://www.ncei.noaa.gov/archive/archive-management-system/OAS/bin/prd/jquery/person/details/4723 Michael G. Dalton
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                  Anchor:  https://www.ncei.noaa.gov/archive/archive-management-system/OAS/bin/prd/jquery/institution/details/1205 US DOC; NOAA; NMFS; Alaska Fisheries Science Center (NMFS/AFSC)
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        abstract:  This dataset contains the relationship between the effort (fishing days) and yield (in thousand tonnes) and profit (in millions of dollars; real 2019 USD) in 2020 and 2090 in the absence of future time-varying growth. The model used fisheries data collected in the eastern Bering Sea in the years 1975 and 2020. Models are: 0: base model - no environmental impacts; 4: SST impact on growth increment; 5: Nursery ground impact on recruitment; 6: SST impact on growth increment, nursery ground impact on recruitment, and pH impact on survival when there is no past annual variation in growth parameters; 8: SST impact on growth increment, nursery ground impact on recruitment, and pH impact on survival when there is past annual variation in the kappa growth parameter; 9:SST impact on growth increment, nursery ground impact on recruitment, and pH impact on survival when there is past annual variation in the Linf growth parameter. The calculations ignore future variation in recruitment about the stock-recruitment and in the parameters of the growth function.
        purpose:  The modelling study was developed to understand how yield and profit as a function of fishing effort changes over time and among models that are characterized in terms how environmental processes and variability impact growth and survival.
        credit:  Funding Information: NOAA Ocean Acidification Program (Forecast effects of ocean acidification on Alaska crab and groundfish fisheries (Dalton AFSC), 17924)
        credit:  Funding Information: NOAA Ocean Acidification Program. (Forecast effects of ocean acidification on Alaska crab and groundfish fisheries, OAPFY13.03.AFSC.002)
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                            city:  Greenbelt
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                            description:  Global Change Master Directory (GCMD). 2023. GCMD Keywords, Version 18. Greenbelt, MD: Earth Science Data and Information System, Earth Science Projects Division, Goddard Space Flight Center (GSFC), National Aeronautics and Space Administration (NASA). URL (GCMD Keyword Forum Page): https://forum.earthdata.nasa.gov/app.php/tag/GCMD+Keywords
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            keyword:  US Eastern Bering Sea
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            otherConstraints:  Cite as: Punt, André E.; Dalton, Michael G.; Cheng, Wei; Hermann, Albert J.; Holsman, Kirstin K.; Hurst, Thomas P.; Ianelli, James N.; Kearney, Kelly A.; McGilliard, Carey R.; Pilcher, Darren J.; Véron, Matthieu (2022). Model predictions for 2020 and 2090 of ocean acidification and temperature effects on the relationship between fishing effort and profit for northern rock sole (Lepidopsetta polyxystra) in Alaska based on fishery monitoring and environmental data collected in 1975 and 2020 (NCEI Accession 0248632). [indicate subset used]. NOAA National Centers for Environmental Information. Dataset. https://doi.org/10.25921/52hk-5g23. Accessed [date].
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            useLimitation:  Distribution liability: NOAA and NCEI make no warranty, expressed or implied, regarding these data, nor does the fact of distribution constitute such a warranty. NOAA and NCEI cannot assume liability for any damages caused by any errors or omissions in these data. If appropriate, NCEI can only certify that the data it distributes are an authentic copy of the records that were accepted for inclusion in the NCEI archives.
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            otherConstraints:  Use liability: NOAA and NCEI cannot provide any warranty as to the accuracy, reliability, or completeness of furnished data. Users assume responsibility to determine the usability of these data. The user is responsible for the results of any application of this data for other than its intended purpose.
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                title:  Punt, A.E., Dalton, M.G., Cheng, W., Hermann, A.J., Holsman, K.K., Hurst, T.P., Ianelli, J.N., Kearney, K.A., McGilliard, C.R., Pilcher, D.J. and M. Veron. 2021. Evaluating the impact of climate and demographic variation on future prospects for fish stocks: An Application for northern rock sole in Alaska. Deep Sea Res. II. 189-190: 104951. https://doi.org/10.1016/j.dsr2.2021.104951
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                    date:  2021-07
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                        title:  International DOI Foundation (IDF)
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                    code: https://doi.org/10.1016/j.dsr2.2021.104951
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                            linkage: https://doi.org/10.1016/j.dsr2.2021.104951
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                            name: https://doi.org/10.1016/j.dsr2.2021.104951
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                      Anchor:  https://orcid.org/0000-0001-8489-2488 Punt, André E.
                    role:  (CI_RoleCode) author
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                    individualName:  Dalton, Michael G.
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                    individualName:  Cheng, Wei
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                      Anchor:  https://orcid.org/0000-0002-0253-7464 Hermann, Albert J.
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                    individualName:  Holsman, Kirstin K.
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                      Anchor:  https://orcid.org/0000-0002-1446-1540 Hurst, Thomas P.
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                    individualName:  Ianelli, James N.
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                    individualName:  Kearney, Kelly A.
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                    individualName:  McGilliard, Carey R.
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                    individualName:  Pilcher, Darren J.
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                      Anchor:  https://orcid.org/0000-0002-2180-6797 Véron, Matthieu
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                    name:  Deep Sea Research Part II: Topical Studies in Oceanography
                    issueIdentification:  189-190
                otherCitationDetails:  ISSN 0967-0645, p. 104951
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                title:  NOAA National Centers for Environmental Information (2022). Ocean Carbon and Acidification Data System (OCADS). NOAA National Centers for Environmental Information. https://www.ncei.noaa.gov/products/ocean-carbon-acidification-data-system
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                    date:  2022-04
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                            linkage: https://www.ncei.noaa.gov/products/ocean-carbon-acidification-data-system
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                      Anchor:  https://www.ncei.noaa.gov/archive/archive-management-system/OAS/bin/prd/jquery/institution/details/1730 NOAA National Centers for Environmental Information
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                      Anchor:  https://www.ncei.noaa.gov/archive/archive-management-system/OAS/bin/prd/jquery/institution/details/1730 US DOC; NOAA; NESDIS; National Centers for Environmental Information (NCEI)
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                otherCitationDetails:  [accessed 2024-02-08]
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        language:
          LanguageCode:  eng; USA
        characterSet:  (MD_CharacterSetCode) utf8
        topicCategory:  (MD_TopicCategoryCode) environment
        topicCategory:  (MD_TopicCategoryCode) oceans
        topicCategory:  (MD_TopicCategoryCode) economy
        topicCategory:  (MD_TopicCategoryCode) biota
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                westBoundLongitude:  -178.166
                eastBoundLongitude:  -158.32
                southBoundLatitude:  55
                northBoundLatitude:  62
            temporalElement:  (EX_TemporalExtent)
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                    beginPosition:  2020-07-01
                    endPosition:  2021-12-31
        supplementalInformation:  This data package (Submission ID: BFWK3MJAL) was acquired by NCEI from the Scientific Data Integration System (SDIS) at the NOAA Pacific Marine Environmental Laboratory (PMEL) in accordance with the archival submission agreement between NCEI and PMEL.
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        distributor:  (MD_Distributor)
            distributorContact:  (CI_ResponsibleParty)
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                  Anchor:  https://www.ncei.noaa.gov/archive/archive-management-system/OAS/bin/prd/jquery/institution/details/1730 NOAA National Centers for Environmental Information
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                        voice:  +1-301-713-3277
                    address:  (CI_Address)
                        electronicMailAddress:  NCEI.Info@noaa.gov
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                fees:  In most cases, electronic downloads of the data are free. However, fees may apply for custom orders, data certifications, copies of analog materials, and data distribution on physical media.
                orderingInstructions:  Contact NCEI for other distribution options and instructions.
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                    linkage: https://www.ncei.noaa.gov/data/oceans/ncei/ocads/metadata/0248632.html
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                    linkage: https://doi.org/10.25921/52hk-5g23
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                description:  NCEI Accession 0248632 v1.1 was published.
                dateTime:
                  DateTime:  2022-03-09T22:21:11Z
                output:  (LE_Source)
                    sourceCitation:  (CI_Citation)
                        title:  NCEI Accession 0248632 v1.1
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                                    linkage: https://www.ncei.noaa.gov/archive/accession/0248632/1.1
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                                    name:  NCEI Accession 0248632 v1.1
                                    description:  published 2022-03-09T22:21:11Z
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    dataQualityInfo:  (DQ_DataQuality)
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            level:  (MD_ScopeCode) dataset
        lineage:  (LI_Lineage)
            processStep:  (LE_ProcessStep)
                description:  Parameter or Variable: Model Number; Abbreviation: Model No; In-situ / Manipulation / Response variable: manipulation condition; Detailed sampling and analyzing information: Models are: 0: base model - no environmental impacts; 4: SST impact on growth increment; 5: Nursery ground impact on recruitment; 6: SST impact on growth increment, nursery ground impact on recruitment, and pH impact on survival when there is no past annual variation in growth parameters; 8: SST impact on growth increment, nursery ground impact on recruitment, and pH impact on survival when there is past annual variation in the kappa growth parameter; 9:SST impact on growth increment, nursery ground impact on recruitment, and pH impact on survival when there is past annual variation in the Linf growth parameter; Uncertainty: N/A; Researcher name: Andre Punt; Researcher institution: University of Washington.
            processStep:  (LE_ProcessStep)
                description:  Parameter or Variable: Year; Abbreviation: Year; In-situ / Manipulation / Response variable: manipulation condition; Detailed sampling and analyzing information: The year for which the yield and profit functions are reported (2020 or 2090); Uncertainty: N/A; Researcher name: Andre Punt; Researcher institution: University of Washington.
            processStep:  (LE_ProcessStep)
                description:  Parameter or Variable: Catch; Abbreviation: Catch; Unit: Thousand tonnes; Calculation method and parameters: Output of bio-economic population dynamics model; Detailed sampling and analyzing information: Yield (catch) in equilibrium as a function of fishing days in a given future year. Results are shown for six models (0, 4, 5, 6, 8, 9 - see “Model Number” variable) and two years (2020 and 2090). The yield for a given level of fishing effort is characterized using five percentiles (lower 5th, lower 25th, median, upper 25th upper 5th) of the posterior distribution for yield.; Uncertainty: Characterized using Bayesian methods; Method reference: Punt, A.E., Dalton, M.G., Cheng, W., Hermann, A.J., Holsman, K.K., Hurst, T.P., Ianelli, J.N., Kearney, K.A., McGilliard, C.R., Pilcher, D.J. and M. Veron. 2021. Evaluating the impact of climate and demographic variation on future prospects for fish stocks: An Application for northern rock sole in Alaska. Deep Sea Res. II. 189-190: 104951.; Biological subject: Northern rock sole; Species ID: ITIS: 616392; Researcher name: Andre Punt; Researcher institution: University of Washington.
            processStep:  (LE_ProcessStep)
                description:  Parameter or Variable: Profit; Abbreviation: Profit; Unit: Million $ (Real 2019 USD); In-situ / Manipulation / Response variable: response variable; Measured or calculated: Calculated; Calculation method and parameters: Output of bio-economic population dynamics model; Detailed sampling and analyzing information: Profit (catch multiplied by price less cost-per-unit-effort multiplied by effort) in equilibrium as a function of fishing days in a given future year. Results are shown for six models (0, 4, 5, 6, 8, 9 - see “Model Number” variable) and two years (2020 and 2090). The yield for a given level of fishing effort is characterized using five percentiles (lower 5th, lower 25th, median, upper 25th upper 5th) of the posterior distribution for profit.; Uncertainty: Characterized using Bayesian methods; Method reference: Punt, A.E., Dalton, M.G., Cheng, W., Hermann, A.J., Holsman, K.K., Hurst, T.P., Ianelli, J.N., Kearney, K.A., McGilliard, C.R., Pilcher, D.J. and M. Veron. 2021. Evaluating the impact of climate and demographic variation on future prospects for fish stocks: An Application for northern rock sole in Alaska. Deep Sea Res. II. 189-190: 104951.; Biological subject: Northern rock sole; Species ID: ITIS: 616392; Researcher name: Andre Punt; Researcher institution: University of Washington .
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    metadataMaintenance:  (MD_MaintenanceInformation)
        maintenanceAndUpdateFrequency:  (MD_MaintenanceFrequencyCode) asNeeded
        maintenanceNote:  Metadata are developed, maintained and distributed by NCEI. Updates are performed as needed to maintain currentness.
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            organisationName:  NOAA National Centers for Environmental Information
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