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A Multispecies Age-Structured Assessment for the Gulf of Alaska Kray F. Van Kirk, SFOS, UAF, Juneau Terrance J. Quinn II, SFOS, UAF, Juneau Jeremy S. Collie, GSO, URI, Narragansett [email protected] U.S. Commissions on Ocean Policy last year recommended a move towards ecosystem-based fisheries management. Why? Collapse of multiple fisheries worldwide + Increased understanding of ecosystem complexities and species interconnectivity Single-species models are a foundation What’s going on down there? Elements of Ecosystem-Based Fisheries Management Models Relevant Dynamics Accurate Predictive MODEL Statistically Robust Data Sources Virtual Population Analysis Begins with “terminal cohort” Abundance at oldest age = Catch at oldest age Mortality (Z) = Catch Backward calculation of abundance Va Va 1 Ca Assumes catch measured without error Underestimates abundance Relevant Dynamics Statistically Robust Accurate Data Sources Predictive Cohort Analysis Begins with “terminal cohort” Backward calculation of abundance Mortality (Z) = Fishery Mortality + Fixed Natural Mortality Assumes catch measured without error Relevant Dynamics Statistically Robust Accurate Data Sources Predictive Statistical Age-Structured Analysis Begins with Recruitment Forward calculation of abundance Mortality (Z) = Relevant Dynamics Statistically Robust Fishery Mortality + Fixed Natural Mortality Assumes catch measured with error Ni ,a 1,t 1 Ni ,a ,t e Z i ,a ,t Accurate Data Sources Predictive Multispecies Models (MSVPA) Forward from recruitment or backwards from terminal cohort Involve two or more species connected by predation Fixed Predation Mortality (from gut studies) Assumes catch measured without error Relevant Dynamics Statistically Robust Accurate Data Sources Predictive Mass Balance Models (Ecosim) Balances consumption and production Involve ALL species connected by predation Z = Fishery Mortality + Fixed Predation Mortality + Fixed Natural Mortality Assumes catch measured without error Tunes assimilation parameters Relevant Dynamics Statistically Robust ?? Accurate Data Sources ?? Predictive Our Approach: Multispecies Age-Structured Assessment Three species with close predator-prey links (Walleye Pollock, Pacific Cod, Arrowtooth Flounder) Progress forward from recruitment Flexible predation mortality Based on gut studies Incorporates both species and age of prey preferred by a given predator Is responsive to predator and prey abundances Catch is assumed measured WITH error Gear selectivities are estimated by model Age-Specific Fishing Mortality Residual Natural Mortality Age-Specific YEAR ONE Predation Mortality Production from Spawning Biomass YEAR TWO Data Dynamics Statistics Catch-at-Age Gut Studies Spawner-Recruit Data Reproduction Fishing Mortality (F) Predation Mortality (P) Residual Natural Mortality (RNM) Catch measured with error Flexible Predation Mortality Reproduction estimated to meet dual demands of mortality and spawning biomass Predictive Forward progression allows predictive capacity Accuracy Preliminary results produce RSS scores of less than 500 Preliminary Results 1. Natural Mortality is estimable 2. Predation Mortality is estimable LN Annual Biomass 15.4 Pacific Cod 15.2 Arrowtooth Flounder 15 14.8 14.6 14.4 14.2 14 Walleye Pollock 13.8 0 2 4 6 8 10 12 14 16 18 20 Next Step Assess the implications of model results for practical fisheries management.