Multi-scenario analysis in the Adriatic Sea: A GIS-based Bayesian network to support maritime spatial planning.

Adriatic Sea Bayesian Networks (BNs) Climate and management scenarios Cumulative impacts Geographic Information Systems (GIS)

Journal

The Science of the total environment
ISSN: 1879-1026
Titre abrégé: Sci Total Environ
Pays: Netherlands
ID NLM: 0330500

Informations de publication

Date de publication:
10 Feb 2020
Historique:
received: 04 07 2019
revised: 12 10 2019
accepted: 12 10 2019
pubmed: 25 11 2019
medline: 25 11 2019
entrez: 25 11 2019
Statut: ppublish

Résumé

Oceans are changing faster than even observed before. Unprecedented climate variability is interacting with long-term trends, all against a backdrop of rising anthropogenic use of marine space. The growth of maritime activities is taking place without the full understanding of complex interactions between natural and human-induced changes, leading to a progressive decline of biodiversity and degradation of marine ecosystems. Against this complex interplay, marine managers and policy makers are increasingly calling for new approaches and tools allowing a multi-scenario assessment of environmental impacts arising from the complex interaction between natural and anthropogenic drivers, also in consideration of multiple marine plans objectives. Responding to this need, for the Adriatic Sea we developed a GIS-based Bayesian Network to evaluate the probability (and related uncertainty) of cumulative impacts under four 'what-if' scenarios representing different marine management options and climate conditions. We addressed issues concerning consequences of potential planning measures, as well as management programmes required to achieve environmental status targets, as required by relevant EU acquis. Results from the scenario analysis highlighted that an integrated approach to maritime spatial planning is required, combining more sustainable management options of marine spaces and resources with climate adaptation strategies. This approach to planning would allow to reduce human pressures on the marine environment and rise resilience of natural ecosystems to climate and human-induced disturbances, which would result in an overall decrease of cumulative impacts.

Identifiants

pubmed: 31759699
pii: S0048-9697(19)34964-2
doi: 10.1016/j.scitotenv.2019.134972
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

134972

Informations de copyright

Copyright © 2019 Elsevier B.V. All rights reserved.

Auteurs

Elisa Furlan (E)

Department of Environmental Sciences, Informatics and Statistics, University Ca' Foscari Venice, I-30170 Venice, Italy; Fondazione Centro-Euro-Mediterraneo sui Cambiamenti Climatici (CMCC), I-73100 Lecce, Italy.

Debora Slanzi (D)

European Centre for Living Technology (ECLT), Calle Crosera, Dorsoduro 3911, 30123 Venice, Italy; Department of Management, University Ca' Foscari Venice, Cannaregio 873, 30121 Venezia, Italy.

Silvia Torresan (S)

Department of Environmental Sciences, Informatics and Statistics, University Ca' Foscari Venice, I-30170 Venice, Italy; Fondazione Centro-Euro-Mediterraneo sui Cambiamenti Climatici (CMCC), I-73100 Lecce, Italy.

Andrea Critto (A)

Department of Environmental Sciences, Informatics and Statistics, University Ca' Foscari Venice, I-30170 Venice, Italy; Fondazione Centro-Euro-Mediterraneo sui Cambiamenti Climatici (CMCC), I-73100 Lecce, Italy. Electronic address: critto@unive.it.

Antonio Marcomini (A)

Department of Environmental Sciences, Informatics and Statistics, University Ca' Foscari Venice, I-30170 Venice, Italy; Fondazione Centro-Euro-Mediterraneo sui Cambiamenti Climatici (CMCC), I-73100 Lecce, Italy.

Classifications MeSH