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SEDAR Caribbean Data Evaluation Workshop San Juan, Puerto Rico January 26-29, 2009

SEDAR Caribbean Data Evaluation Workshop San Juan, Puerto Rico January 26-29, 2009. Data Evaluation And Advice Potential. St. Croix. St. Thomas/ St. John. Puerto Rico. Conclusions/Recommendations of Caribbean Data Evaluation SEDAR.

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SEDAR Caribbean Data Evaluation Workshop San Juan, Puerto Rico January 26-29, 2009

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  1. SEDAR Caribbean Data Evaluation WorkshopSan Juan, Puerto RicoJanuary 26-29, 2009 Data Evaluation And Advice Potential

  2. St. Croix

  3. St. Thomas/ St. John

  4. Puerto Rico

  5. Conclusions/Recommendations of Caribbean Data Evaluation SEDAR If stock has adequate length and catch data (listed as ‘OFL’ in Summary Table) • Estimate total mortality (Z) using the Gedamke and Hoenig (2006) base model and newly developed multispecies/multigear extensions to the method. • Compute recent fishing mortality rate by subtracting out an assumed natural mortality rate (F = Z – M). • Select a proxy for FMSY such as the natural mortality rate or the fishing mortality rate associated with a given spawning potential ratio • Set OFL = FMSY*(recent average catch)/F Otherwise, if stock has adequate catch data, then use informed judgment • if consensus can be reached on a proxy for FMSY and the level of depletion relative to unfished levels, d = (Bfirst – Blast)/B0, then set OFL = (average catch)/(n + d/(0.4*FMSY)) • if consensus can be reached on a vulnerability scalar from a PSA analysis, then set OFL = (average catch) * vulnerability scalar • if no consensus can be reached, adopt protocol of PFMC, i.e., OFL = average catch and ABC = 0.5*(average catch). Otherwise, if no reliable catch data exist, develop rationale for alternative management measures that do not conform to the framework established in the NS1 guidelines.

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