Multi-Criteria Decision Analysis as a tool to extract fishing footprints and estimate fishing pressure: application to small scale coastal fisheries and implications for management in the context of the Maritime Spatial Planning Directive
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9 janvier 2015
- handle: 10670/1.8mn9y7
Ce document est lié à :
https://ejournals.epublishing.ekt.gr/index.php/hcm [...]
Ce document est lié à :
https://ejournals.epublishing.ekt.gr/index.php/hcm [...]
Mots-clés
Small-scale fisheries MCDA AHP Fuzzy logic GIS Mediterranean Sea.Sujets proches
Sportfishing Sport fishing Recreational fishing AnglingCiter ce document
S. KAVADAS et al., « Multi-Criteria Decision Analysis as a tool to extract fishing footprints and estimate fishing pressure: application to small scale coastal fisheries and implications for management in the context of the Maritime Spatial Planning Directive », eJournals, ID : 10670/1.8mn9y7
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Résumé
In the context of the Maritime Spatial Planning Directive and with the intention of contributing to the implementation of a future maritime spatial plan, it was decided to analyze data from the small scale coastal fisheries sector of Greece and estimate the actual extent of its activities, which is largely unknown to date. To this end we identified the most influential components affecting coastal fishing: fishing capacity, bathymetry, distance from coast, Sea Surface Chlorophyll (Chl-a) concentration, legislation, marine traffic activity, trawlers and purse seiners fishing effort and no-take zones. By means of Multi-Criteria Decision Analysis (MCDA) conducted through a stepwise procedure, the potential fishing footprint with the corresponding fishing intensity was derived. The method provides an innovative and cost-effective way to assess the impact of the, notoriously hard to assess, coastal fleet. It was further considered how the inclusion of all relevant anthropogenic activities (besides fishing) could provide the background needed to plan future marine activities in the framework of Marine Spatial Planning (MSP) and form the basis for a more realistic management approach.