OSPAR Bottom Fishing Intensity - Surface - 2014

Data and Resources

Additional Info

Mező Érték
Last Updated augusztus 9, 2017, 15:43 (UTC)
Created augusztus 9, 2017, 15:42 (UTC)
E-mail lina.roeschel@ecologic.eu
Language Eng
Abstract ICES Advice Request: OSPAR request on mapping of bottom fishing intensity using VMS data.
Resource type Spatial dataset
Spatial representation type vector
Licenc CC-BY-4.0
Classification Oceans
Creation date 2014-12-31
Publication date 2017-07-27
Free keywords bottom fishing, OSPAR, fishing
Temporal start date 2014-01-01
Temporal end date 2014-12-31
Lineage Data Quality: The ICES recommended analysis requires the use of both VMS and logbook data to estimate the hours fished by each gear type per 0.05 × 0.05 degree grid cell (based on the ‘C-square’ coding system) per year. The gear–seabed interaction takes place at the scale of a fishing gear (e.g. metres). Although benthic features may occur at this scale, fishers deploy their gears at a scale of kilometres (e.g. length of the trawl track). The 0.05 × 0.05 degree grid cell is an appropriate scale to quantify the gear–seabed interaction. At this scale, several fisheries have been shown to be randomly distributed. The recommended annual temporal scale is based on the scale of recovery times of many parts of the benthos.All activities by fishing vessels other than active towing of gear should be excluded from the data. There are several techniques for excluding such activities; those handling the data should choose the technique that is most appropriate for the fishery concerned.
Responsible party OSPAR Commission
Responsible party email secretariat@ospar.org
Responsible party role Owner
Related publications OSPAR Bottom Fishing Intensity 2014 - OSPAR request on mapping of bottom fishing intensity using VMS data https://odims.ospar.org/documents/806 OSPAR Bottom Fishing Intensity 2014 - Data caveats https://odims.ospar.org/documents/807
Limitations on public use No restrictions/limitations
Projections WGS 84 -- EPSG-4326
Spatial extent - North 81.75
Spatial extent - South 36
Spatial extent - East 49.2
Spatial extent - West -40.9

Dataset extent