Landscape Services Assessment: A Hybrid Multi-Criteria Spatial Decision Support System (MC-SDSS)

摘要: This research aims to test a scalable and transferable Geographic Information System (GIS)-based evaluation methodology for the identification, quantification assessment of multi-functional landscape features. The features is one key tasks required when it comes identifying values that people attribute landscapes, according principles European Landscape Convention. Mapping static distribution Services (LS) through data-derived estimates performing spatial composite indicators are fundamental steps in understanding current state Social–Ecological (SES) threatened or resilient landscapes. methodological process structured four phases: intelligence (i), design (ii), choice (iii) outcome (iv), framework Multi-Criteria Spatial Decision Support (MC-SDSS). has been implemented case study National Park Cilento, Vallo di Diano Alburni (Italy). weighting indicators, which simulates model LS-functioning area, derives from an entropy-based method. Such method, by weights estimated without decisional agents, concerns key-concept information entropy theory, whereby amount each criterion determines its relative importance within defined set criteria. output mapping LS; this involves macro-categories Regulating, Provisioning, Cultural Services.