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Bottom trawl survey age and length composition input sample sizes for stocks assessed with statistical catch-at-age assessment models at the Alaska Fisheries Science Center
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2023
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Corporate Authors:Alaska Fisheries Science Center (U.S.). ; Auke Bay Laboratories (Juneau, Alaska). ; Alaska Fisheries Science Center (U.S.). Resource Assessment and Conservation Engineering Division. ; Alaska Fisheries Science Center (U.S.). Resource Ecology and Fisheries Management Division. ; Washington (State). Department of Fish and Wildlife
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Description:At the Alaska Fisheries Science Center (AFSC) a number of fish stocks are assessed using statistical catch-at-age (SCA) models. SCA models integrate various sources of data to inform estimation of population dynamics and management quantities for fisheries that target these stocks. Two important information sources are age and length composition data, from fishery-independent (survey) and fishery-dependent sources. When used in SCA models, age and length composition data require determining a priori the ‘input sample size’ to weight their relative information content against other data sources fit within the assessment model. We developed an R-package that uses bootstrap methods originally presented in Stewart and Hamel (2014) to estimate input sample size for age and length composition data from bottom trawl surveys conducted by the AFSC in the eastern Bering Sea, Aleutian Islands, and Gulf of Alaska. Here we present annual input sample size estimates for length and age compositions (including sex-specific and sex combined compositions, and sub-regional compositions within the Gulf of Alaska) collected during Alaska bottom trawl surveys. These new input sample size estimates provide an objective method that follows the sampling design of the bottom trawl surveys for fishery stock assessments. We recommend that these input sample size estimates become a standard bottom trawl survey data product that are updated annually and available to assessment authors for inclusion into AFSC fishery stock assessments. Software provided can also be used on a less-frequent basis for research to explore the consequences of changes in sampling design or intensity.
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Rights Information:CC0 Public Domain
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Compliance:Submitted
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