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Energy, Climate change, Environment
European Marine Observation and Data Network (EMODnet)

Fishery Management

Purpose

This challenge aimed to collect fish catch information for the whole sea basin on landings, discards, and by-catch of fish, mammals, reptiles and seabirds (mass & number by species and year), to assess whether the available marine data sets at that time* were available and appropriate to the use case, as well as to indicate the gaps in the EU data collection framework.

Abstract

The Fishery Management challenge attempted to collect fish catch information for the whole North Atlantic basin (i.e. North of the Equator, excluding the Caribe, Baltic, North Sea and Arctic) and to compute:

  • mass and number of landings of fish by species and year
  • mass and number of discards and bycatch by species and year (fish, mammals, reptiles and seabirds).

Team involved

AZTI (lead), CEFAS, CLS

Access to products

The challenge partners ("the producers") were commissioned to perform a number of tests to evaluate marine data according to set user requirements. The table below enables:

  • to discover :
    - the Data Product Specifications (DPS) which describe data products in terms of user requirements according to ISO19131 principles and provide the basis for the quantitative assessment of the Products (Quality measures and scope of application)  and of the Upstream Data sets supplied to- and used by- the challenges to create them.
    - the Results (TDP) which describe the Data Product created together with the quantitative assessments (Quality measures and indicators) and the expert opinion.
  • to download the products (shapefile, excel, pdf) on an "as is" basis. All downloads suppose acceptance of the use limitations described in the “Expert opinion” and the “Legal constraints” accessible using the  link to the Results.

  • to view the spatial data products (Maps) using a webGIS.

    Data product were scored by experts from 1 to 5, resp. inadequate to excellent. The score is mentioned in the last column. “Good” means the Product was achieved to at least 50% of the requirements. “Inadequate” means “Impossible to produce or fails to meet all the objectives (not usable)”.