Where do we draw the line? A simulation approach for evaluating management of marine fish stocks with isolation-by-distance stock structure

• Published in: Canadian journal of fisheries and aquatic sciences Vol. 72; no. 7; pp. 968 - 982
• Main Authors: Spies, Ingrid, Spencer, Paul D, Punt, André E
• Format: Journal Article
• Language: English
• Published: Ottawa NRC Research Press 01.07.2015; Canadian Science Publishing NRC Research Press
• Subjects: Aleutian Islands; Bering Sea; Biomass; Cod; continental shelf; Continental shelves; Fish stocking; Fisheries management; Fishery management; Fishing; Gadus macrocephalus; Marine fish; Methods; rockfish; Sebastes polyspinis; Simulation; surveys; Bering Sea; Aleutian Islands
• ISSN: 0706-652X; 1205-7533; 1205-7533
• DOI: 10.1139/cjfas-2014-0366

There is no established management protocol for stocks subject to isolation-by-distance (IBD) stock structure. This study examines several management strategies for two marine fish species subject to IBD using simulation: Pacific cod (Gadus macrocephalus) in the Aleutian Islands (AI) and northern rockfish (Sebastes polyspinis) in the Eastern Bering Sea (EBS) and AI. A one-dimensional stepping stone model was used to model IBD and was intended to mimic regions where marine species are exploited along a continental shelf. The performance of spatial assessment and management methods depended on how the range was split. Splitting anywhere within the managed area led to fewer demes falling below target and threshold biomass levels and higher yield than managing the entire area as a single unit. Equilibrium yield was maximized when each deme was assessed and managed separately and under catch cascading, in which harvest quotas within a management unit are spatially allocated based upon the distribution of survey biomass. The longer-lived rockfish declined more slowly than Pacific cod and experienced greater depletion in biomass under disproportionate fishing effort because of lower productivity. Overall, splitting a management area of the size simulated in the model improved performance measures, and the optimal management strategy grouped management units by demes with similar relative fishing effort.