CWTs and the Chinook Fishery Regulation Assessment Model (FRAM) Pete McHugh Washington Dept. of Fish & Wildlife 10 May 2012.

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Presentation transcript:

CWTs and the Chinook Fishery Regulation Assessment Model (FRAM) Pete McHugh Washington Dept. of Fish & Wildlife 10 May 2012

What is FRAM? Fishery impact assessment tool: – Used in annual ocean salmon season-setting process (PFMC) – Forecasts & fishing plans – Post-season use, e.g., to estimate impacts for ESA-listed stocks – Other uses Uses ‘74-79 CWT data for core stocks, plus recent data for stocks not tagged in early years N t = abundance scalar x N bp C t = effort scalar x N t x ER bp

What does FRAM do? Computes impacts of 68 mixed-stock marine fisheries on 38 stock aggregates, by age: – Landed catch – Non-landed fishery mortality – Exploitation rates (w/o FW) – Run sizes Facilitates fishery planning under complex, multi-stock objectives

FRAM’s role in the coast-wide fishery planning process Pacific Salmon Commission’s CTC Chinook Model FRAM Terminal Fishery Models Inputs for FRAM’s Alaska & Canada fisheries Terminal run sizes

FRAM & Columbia R. Chinook Includes 10 Columbia stocks: Lower river hatch. & nat. tules, Upriver brights (Snake fall), Upriver summers, Lower river springs & brights Provides river mouth returns (or ocean catch) for US v Oregon TAC’s fishery planning Specialized reporting tools (e.g., Coweeman)

FRAM’s reliance on CWT data Direct links Historic tag data Addition of new stocks/splits Calibration runs Indirect links CTC Chinook Model output Prep. fishery & stock inputs Ad hoc analyses

Pacific Salmon Commission’s CTC Chinook Model FRAM Terminal Fishery Models Calibration Addition of new stocks Catch inputs Stock abundance (= forecast)

The future of fishery planning models Status quo? Genetic stock ID? Parentage-based tagging? PIT tags? Expanded CWT effort? A combination?