Assessment of a Bayesian Belief Network-GIS framework as a practical tool to support marine planning.
For the UK continental shelf we developed a Bayesian Belief Network-GIS framework to visualise relationships between cumulative human pressures, sensitive marine landscapes and landscape vulnerability, to assess the consequences of potential marine planning objectives, and to map uncertainty-related changes in management measures. Results revealed that the spatial assessment of footprints and intensities of human activities had more influence on landscape vulnerabilities than the type of landscape sensitivity measure used. We addressed questions regarding consequences of potential planning targets, and necessary management measures with spatially-explicit assessment of their consequences. We conclude that the BN-GIS framework is a practical tool allowing for the visualisation of relationships, the spatial assessment of uncertainty related to spatial management scenarios, the engagement of different stakeholder views, and enables a quick update of new spatial data and relationships. Ultimately, such BN-GIS based tools can support the decision-making process used in adaptive marine management.
Stelzenmüller
V
V
vTI - Institute of Sea Fisheries, Palmaille 9, 22767 Hamburg, Germany. vanessa.stelzenmueller@vti.bund.de
Lee
J
J
Garnacho
E
E
Rogers
S I
SI
D001267:Atlantic Ocean; D051792:Basic Helix-Loop-Helix Proteins; D001499:Bayes Theorem; D003247:Conservation of Natural Resources / Q000379:methods*; D003657:Decision Making; D005398:Fisheries; D040362:Geographic Information Systems; D007221:Industry; D008962:Models, Theoretical; D010578:Petroleum; D006113:United Kingdom
D051792:Basic Helix-Loop-Helix Proteins; D010578:Petroleum; C065501:ASCL2 protein, human