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ECOKNOWS WP6 Progress Nov. 2011. Rainer Froese Cadiz, 23.11.2011. WP6 Objectives. Together with the Case Studies, do a literature survey to complete data for these species. Extract and compile relevant data using FishBase .
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ECOKNOWS WP6Progress Nov. 2011 Rainer Froese Cadiz, 23.11.2011
WP6 Objectives • Together with the Case Studies, do a literature survey to complete data for these species. Extract and compile relevant data using FishBase. • Process the extensive information available in ICES and FishBase such that it is freely available and ready for use in Bayesian fisheries assessment models. • In FishBase and ICES databases, provide the possibility to store posterior probabilities, which can then be further used in future studies as priors.
D6.1 Suitable Databases in FishBase Done: • Added fields for traditional measures of uncertainty: SD, SE, 95% CL • In tables for LWR, Growth, Mortality, Maturity, Fecundity, Spawning • Report submitted and accepted http://fem.biosci.helsinki.fi/ecoknows/lib/exe/fetch.php?media=deliverable_6_1_report.pdf
D6.1 Suitable Databases in FishBase Ongoing: • Discussed with Samu and others options for storing density distributions • Solution: new sub-tables which can store an unlimited number of slices of a distribution • To be tested in December, implemented if found satisfactory
D6.2-3 Literature Survey and Report Done • FIN and AUTH did literature surveys for case study species • Report on survey submitted by AUTH http://fem.biosci.helsinki.fi/ecoknows/lib/exe/fetch.php?media=voulareport.doc Ongoing • Receive missing studies from CS groups • Data entry of the studies found (several hundred) • Report on data entry and analysis, due M18
D6.4-5 Webtools for Priors and Posteriors (M26 and M32) Soon • Option to download traditional stats per species • Option to download ‚sliced‘ density distributions Later • Option to upload ‚sliced‘ density distributions
Related Work • Unique stock identifers have been entered in FishBase for ICES stocks • Assigning various studies to stocks is ongoing, with challenges • New tables for accepting size-at-age data (and other primary data) are being created (length-frequencies do already exist) • Collaboration with RAM-legacy database is ongoing
Related Work • New method for deriving MSY from catch data only, for data-poor stocks, is being developed, with Steve Martell • Could be made available online, as a web tool • Harvest-control rules for Catch & MSY stocks need to be developed and tested