index of fishing catch from deep-sea impacting gears on the North Atlantic
Distribution of catch from deep-sea impacting fishing on the North Atlantic (18°N to 76°N and 36°E to 98°W), for the period 2010-2015. The average of yearly fishing catch for the period 2010-2015 is displayed as an index on the ATLAS grid of 25km * 25km resolution. Source data originated from the Global Fisheries Landings V4.0 database. The dataset was filtered to select only the fishing gears that have an impact on large areas of the seafloor (dredges, bottom trawls, and Danish seines). Within each cell, all remaining catch records were summed to get the total catch rate of the considered year.
This dataset was built to feed a basin-wide spatial conservation planning exercise, targeting the deep sea of the North Atlantic. The goal of this approach was to identify conservation priority areas for Vulnerable Marine Ecosystems (VMEs) and deep fish species, based on the distribution of species and habitats, human activities and current spatial management.
Date(s) Date(s) |
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Author(s) Auteur(s) |
Combes Magali
(
IFREMER
)
Vaz Sandrine ( IFREMER ) |
Contact(s) Contact(s) |
IFREMER
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Source Source |
Horizon 2020 ATLAS project (EU) |
Lineage Généalogie |
The fishing catch for industrial and non-industrial fishing (Watson, 2019) on the 2010-2015 period was used. The yearly catch values were calculated in 25km * 25 km gridsquares of the raster grid used for the ATLAS spatial prioritization, and then averaged to get the mean yearly catch for the 6 years. This yearly catch was log transformed and expressed as an index varying from 0 to 1. Source data reference: Watson, R.A. (2019). Global Fisheries Landings V4.0. Institute for Marine and Antarctic Studies (IMAS), University of Tasmania (UTAS). doi:10.25959/5c522cadbea37 |
Constraints Contraintes |
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Spatial informations Informations géographiques |
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Citation proposal Proposition de citation
Combes Magali , Vaz Sandrine (2019).index of fishing catch from deep-sea impacting gears on the North Atlantic.IFREMER
http://dx.doi.org/10.12770/79f078bf-7f80-4efc-a5b4-9e01609b6a51