Abstract
The aim of the paper is to map and evaluate the state of the multifunctional landscape of the municipality of Naples (Italy) and its surroundings, through a Spatial Decision-Making support system (SDSS) combining geographic information system (GIS) and a multi-criteria method an analytic hierarchy process (AHP). We conceive a knowledge-mapping-evaluation (KME) framework in order to investigate the landscape as a complex system. The focus of the proposed methodology involving data gathering and processing. Therefore, both the authoritative and the unofficial sources, e.g., volunteered geographical information (VGI), are useful tools to enhance the information flow whenever quality assurance is performed. Thus, the maps of spatial criteria are useful for problem structuring and prioritization by considering the availability of context-aware data. Finally, the identification of landscape services (LS) and ecosystem services (ES) can improve the decision-making processes within a multi-stakeholders perspective involving the evaluation of the trade-off. The results show multi-criteria choropleth maps of the LS and ES with the density of services, the spatial distribution, and the surrounding benefits.
Highlights
The European Community adopted the Biodiversity Strategy to 2020 that, through Action 5 of Target 2, encourages Member States to map and assess the condition of the Ecosystems Services at all scales [1]
TheStudy study area extends over large urban zones of Naples (Italy) as conceived and mapped by
The Spatial Decision-Making support system (SDSS) for the city of Naples and its surrounding municipalities aims at evaluating evaluating the landscape services and functions in order to visualize the critical zones with low the landscape services and functions in order to visualize the critical zones with low values for which values for which policy for improving the environmental quality is required
Summary
The European Community adopted the Biodiversity Strategy to 2020 that, through Action 5 of Target 2, encourages Member States to map and assess the condition of the Ecosystems Services at all scales [1]. A context-aware geographical data gathering has become a crucial step of the spatial decision-making processes since it should guarantee openness, involvement, and democracy to the evaluation. The knowledge of the landscape through global and local data is one of the major challenges for researchers, practitioners and decision-makers (DM). The heterogeneity of the public, private, and voluntary dataset entails different standards, formats, and scattered sources [2]. A suitable methodology must be able to level out a heterogeneous and cross-scale dataset in order to evaluate landscape services (LS) and ecosystem services (ES)
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