ECOKNOWS WP6 Progress Nov. 2011 - PowerPoint PPT Presentation

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ECOKNOWS WP6 Progress Nov. 2011

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  1. ECOKNOWS WP6Progress Nov. 2011 Rainer Froese Cadiz, 23.11.2011

  2. 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.

  3. WP6 Partners

  4. WP6 Deliverables

  5. 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

  6. 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

  7. 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

  8. 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

  9. 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

  10. 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