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WP2 – Review of existing management and monitoring approaches. WP Leader - Cefas. WP2 Overview. Review of management and monitoring framework for d/w fisheries, ecosystems & VMEs around the world. Develop agreed definition of d/w fish and fisheries.

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wp2 overview
WP2 Overview

Review of management and monitoring framework for d/w fisheries, ecosystems & VMEs around the world.

Develop agreed definition of d/w fish and fisheries

Review salient characteristics of d/w environment in NE Atlantic

Manage scientific aims, progress & delivery of outputs from CSs

  • Deliverables:-
  • Report on management & monitoring around world (incorporating views of stakeholders) (Journal paper).
  • Compilation report – all CSs. incl. inventory of fisheries, biological, biodiversity, VME & socio-economic data.
  • Database (IFREMER)
  • Report on DCR, PGNEACS, EU Sampl. Plans.

Review progress & developments in DCR, PGNEACS, & EU MS Sampling Plans

Review of data, assessment/EA methods and management measures used in CS stocks

Review outcomes of ICES d/w Benchmark Assessment meeting

definition of deep water fish and fisheries
Definition of deep-water fish and fisheries
  • NE Atlantic - literature search worldwide
  • ICES >400 m but >200m
  • What about species also found on shelf
  • Cannot use life history characteristics
  • In past largely driven by species covered by ICES WGDEEP, includes ling, tusk & conger eel but excludes redfish, blue whiting, Greenland halibut & red crab.
  • Need the Commission view on scope – TAC Regulation & licensed spp.?
salient characteristics of deep water environment in ne atlantic
Salient characteristics of deep-water environment in NE Atlantic
  • Depends on definition of deep-water.
  • Seamounts – should include?
  • Steve Dye – senior hydrographer at Cefas.
review of management monitoring frameworks around the world
Review of management & monitoring frameworks around the world
  • Management and monitoring of stocks/fisheries, target & bycatch spp., biodiversity, VMEs.
  • Current EU & ICES regime –(recent EC & EP reviews)
  • FAO guidelines on VMEs and d/w fisheries
  • NAFO/NEAFC/SEAFO, Mediterr. & CCAMLR:TXOTX.
  • NZ regime (Paul Marchal)
  • PRONE (risk analysis) & POORFISH (assessment & management in data-poor stocks/fisheries).
  • Risk analysis in Australian waters (Hobday et al, 2007, Smith et al, 2007)
  • VIEWS OF STAKEHOLDERS & literature search
progress developments in dcr pgneacs eu sampling plans
Progress & developments in DCR, PGNEACS & EU Sampling Plans
  • DCR – has been revised to take greater account of sampling for d/w species, observer costs & provision of VMS data.
  • PGNEACS – meeting in June – WGDEEP given the group a strong steer to focus primarily on international surveys to generate abundance indices for assessments.
  • EU MS Sampling Plans – need to be peer-reviewed, fit for purpose and transparent.
review outcomes of ices benchmark meetings
Review outcomes of ICES Benchmark Meetings
  • WGDEEP - should complement and not duplicate the work of DEEPFISHMAN (maximise use of resources).
  • Benchmark assessment meeting in late 2009 (?)
  • R. grenadier in Vb, VI & VII,Greater silver smelt in all areas,tusk in Va ,Red seabream in X ,D/W squaliform sharks and greater forkbeard in all areas.
  • Benchmark EA meeting – assessment of and indicators for ecosystem components of Celtic Seas (VI &VII) and Oceanic NE Atlantic eco-regions.
  • Benchmark meeting –2012 to evaluate and, where appropriate, integrate the outcomes of DEEPFISHMAN into the ICES framework.
data available assessment ea methods management measures used in cs stocks
Data available & assessment/EA methods & management measures used in CS stocks
  • Detailed inventory of fisheries, biological, biodiversity, VME & socio-economic data
  • Develop a database (with Ifremer)
  • Ifremer will manage database & store data.
  • Preserve vessel anonymity - level of disaggregation?
  • Work with WP & CS Leaders - review & evaluate assessment/EA methods used & management measures applied.
  • If appropriate, make recommendations for improvements & data collection.
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