Habitat-based model and stock-recruit productivity estimates for coho salmon in Georgia Strait mainland, Georgia Strait Vancouver Island and lower Fraser management units / C.A.J. Noble, J. Korman and...: Fs70-5/2015-050E-PDF

Identifying biological reference points or benchmarks for management of Coho Salmon is a critical component of the Wild Salmon Policy, and key to sustainable fishery management; yet data and budget restrictions limit the use of traditional stock recruit methods to identify benchmarks. A habitat-based model and Bayesian stock-recruit and stock-smolt analysis was combined to estimate average CU smolt production and the number of spawners required to achieve this, as well as stock productivity parameters and three potential benchmarks (Umsy, Smsy and Sgen) for wild (non-enhanced) Coho Salmon populations. Stock recruit analyses were conducted using both Beverton-Holt and Logistic Hockey Stick models and spawner-to-smolt and spawner-to-recruit data sets. Stream length accessible to Coho Salmon was determined from terrain resource inventory maps (TRIM) using GIS and maps at 1:20,000 scale. Stream order, gradient and known barriers were used to define the accessible length of stream. The number of smolts per kilometer was derived using a log-linear predictive regression of smolt yield given stream length for 22 streams within the CUs of interest.

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