Related Experiment Video
Updated: Jan 3, 2026

Watershed Planning within a Quantitative Scenario Analysis Framework
Published on: July 24, 2016
Multi-scenario analysis in the Adriatic Sea: A GIS-based Bayesian network to support maritime spatial planning
Elisa Furlan1, Debora Slanzi2, Silvia Torresan1
1Department 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.
Abstract:
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.
More Related Videos
12:26Integrating Remote Sensing with Species Distribution Models; Mapping Tamarisk Invasions Using the Software for Assisted Habitat Modeling SAHM
Published on: October 11, 2016
10:28Investigating the Relationship between Sea Surface Chlorophyll and Major Features of the South China Sea with Satellite Information
Published on: June 13, 2020
Related Concept Videos
Manipulation and Analysis
Design Example: Analyzing Capacity Contours for Flood Risk Assessment
Applications of GIS: Disaster Management and Emergency Response
Levels of Use of a GIS
Selected Data About Geographic Locations
Thematic Layering in GIS