| Assessment of a Bayesian Belief Network-GIS framework as a practical tool to support marine planning. | |
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MedLine Citation:
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PMID: 20619861 Owner: NLM Status: MEDLINE |
Abstract/OtherAbstract:
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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. |
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Authors:
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V Stelzenmüller; J Lee; E Garnacho; S I Rogers |
Publication Detail:
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Type: Journal Article; Research Support, Non-U.S. Gov't |
Journal Detail:
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Title: Marine pollution bulletin Volume: 60 ISSN: 1879-3363 ISO Abbreviation: Mar. Pollut. Bull. Publication Date: 2010 Oct |
Date Detail:
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Created Date: 2010-09-29 Completed Date: 2011-01-25 Revised Date: - |
Medline Journal Info:
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Nlm Unique ID: 0260231 Medline TA: Mar Pollut Bull Country: England |
Other Details:
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Languages: eng Pagination: 1743-54 Citation Subset: IM |
Copyright Information:
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Copyright © 2010 Elsevier Ltd. All rights reserved. |
Affiliation:
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vTI - Institute of Sea Fisheries, Palmaille 9, 22767 Hamburg, Germany. vanessa.stelzenmueller@vti.bund.de |
Export Citation:
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APA/MLA Format Download EndNote Download BibTex |
| MeSH Terms | |
Descriptor/Qualifier:
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Atlantic Ocean Basic Helix-Loop-Helix Transcription Factors Bayes Theorem* Conservation of Natural Resources / methods* Decision Making Fisheries* Geographic Information Systems* Great Britain Industry Models, Theoretical* Petroleum |
| Chemical | |
Reg. No./Substance:
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0/ASCL2 protein, human; 0/Basic Helix-Loop-Helix Transcription Factors; 0/Petroleum |
From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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