Desertification in Mediterranean landscapes results from the interaction of climatic stress, ecological sensitivity, human pressure, and limited adaptive capacity. This study proposes an integrated framework for highlighting desertification risk by combining Land Management Units (LMUs) with conceptual maps of land degradation processes. LMUs, represented by grid cells, pasture plots, or habitat patches, provide a spatial basis for translating conceptual relationships into measurable indicators. The framework starts from conceptual maps linking drought, temperature anomalies, grazing pressure, land-use change, soil erosion, vegetation loss, socio-economic factors, and Agri-Environmental Schemes (AES). These components are associated with spatial layers for each LMU, including NDVI trends, biomass, soil organic carbon, slope, erosion risk, grazing intensity, land cover, plant functional traits such as Specific Leaf Area and Leaf Dry Matter Content, and AES implementation zones. Desertification risk can be assessed through MEDALUS, integrating Climate, Soil, Vegetation, and Management Quality Indices into a Desertification Risk Index, and complemented by time-series analyses of productivity and drought response using NDVI, Rain Use Efficiency, Vegetation Condition Index, and trend-detection methods. A core element is the construction of Spatial Functional Networks, where LMUs act as nodes and links are defined by spatial proximity, trait similarity, NDVI correlation, shared AES membership, or similar degradation trajectories. Network metrics, including node strength, betweenness centrality, modularity, and edge loss, identify resilience hubs, isolated degradation nodes, functional gaps, and fragmented sectors. Embedding conceptual map relationships into network weights quantifies how specific drivers influence connectivity and degradation risk. This integration transforms desertification assessment from static mapping into dynamic decision support. It supports the detection of vulnerable areas, the evaluation of AES effectiveness, and spatial prioritisation of interventions such as grazing regulation,  plant regeneration, and soil fertility. Applied to Mediterranean case studies, it can guide adaptive land management and strengthen landscape resilience under future climate and socio-economic scenarios.