Title: Quantifying Green Infrastructure Resilience In Arid Urban Systems: Methodological Advances Combining Mspa, Mcr, And Conefor
Authors: Mamirova Zulfiyaxon Ibroximjon qizi
Volume: 10
Issue: 6
Pages: 1-10
Publication Date: 2026/06/28
Abstract:
Green infrastructure (GI) sustains the ecological processes, thermal moderation, and habitability of urban areas, but across arid and semi-arid cities it remains thinly distributed, severely fragmented, and especially vulnerable to water shortages and heat extremes. Gauging the resilience of these networks-that is, their ability to preserve connectivity and function when disturbed-calls for approaches that simultaneously describe spatial configuration, the potential for movement, and the systemic weight of individual elements. The present study formulates and illustrates an integrated methodological framework in which Morphological Spatial Pattern Analysis (MSPA), Minimum Cumulative Resistance (MCR) corridor modelling, and graph-theoretic connectivity analysis in Conefor are combined to measure GI resilience in dryland settings. MSPA divides the GI mask into structurally and functionally distinct classes; MCR traces least-cost corridors over a land-cover resistance surface; and Conefor orders patches and links by how much they add to overall connectivity, using the Integral Index of Connectivity and the Probability of Connectivity. Resilience is made operational through redundancy, the retention of connectivity, and robustness against simulated disturbance, encompassing the targeted removal of nodes and links as well as drought-induced rises in matrix resistance. Drawing on a representative arid-city configuration, we show how this joint procedure pinpoints pivotal hubs, stepping-stone patches, and corridor bottlenecks that analyses based on a single method tend to miss. The framework produces spatially explicit and reproducible resilience priorities capable of guiding water-efficient GI planning, the safeguarding of corridors, and restoration in dryland cities. We close by considering the methodological contributions, the mutual validation among the indices, the principal limitations, and avenues for empirical testing.