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Purpose The comparative study between urban regions gathered by the 2010 National Project of Relevant Interest financed by the Italian Ministry of Education, University and Research (MIUR – PRIN 2010) re-opened, in Italy, the debate on regional comparison of data, especially the ones of land use monitoring, which are difficult to collect, and to compare. The purpose of this paper is to illustrate some results of comparative studies based on regional and national data sets of land use indicators. Further considerations of land use change (LUC) assessment and its effect on environmental policies extended to the whole metropolitan area of Milan are outlined. Design/methodology/approach The adopted methodology collects different types of information from the existent databases on land uses/land covers (national/regional) and presents an assessment between the selected case of studies (urban regions), leading a shift from a quantitative evaluation to a qualitative one. A comparative study was conducted applying a geographical and statistical difference of land uses among different time thresholds. Subsequently, a cross-tabulation analysis allows an in-depth LUC analysis for the Milan urban region. Findings The results of the study display an autonomous pattern for the Milan urban region, which is the most densely populated area in Italy and seems to be the only comparable to other international cases of studies due to its extension and characteristics. Nevertheless, it is not the urban region that is affected by the highest rate of land take, which takes place in the Italian context where densities of settlements are lower and sprawled. According to Soja’s (2011) interpretation, the post-metropolitan condition of Milan seems to be proved. Originality/value The study was aimed at creating the first online National Atlas which has been used to overcome traditional problems of homogenization of LUC data in Italy. The quantification and qualification of LUC patterns allow us to understand if, and where, post-metropolis condition occurs. This research gives a clear indication of the kind of ongoing phenomena for policy orientation to planners and administrators, especially the one of the green infrastructure approach at the city-region level to solving the emerging environmental challenges.

Abstract:Mapping ecosystem services (ES) increases the awareness of natural capital value, leading to building sustainability into decision-making processes. Recently, many techniques to assess the value of ES delivered by different scenarios of land use/land cover (LULC) are available, thus becoming important practices in mapping to support the land use planning process. The spatial analysis of the biophysical ES distribution allows a better comprehension of the environmental and social implications of planning, especially when ES concerns the management of risk (e.g., erosion, pollution). This paper investigates the nutrient retention model of InVEST software through its spatial distribution and its quantitative value. The model was analyzed by testing its response to changes in input parameters: (1) the digital terrain elevation model (DEM); and (2) different LULC attribute configurations. The paper increases the level of attention to specific ES models that use water runoff as a proxy of nutrient delivery. It shows that the spatial distribution of biophysical values is highly influenced by many factors, among which the characteristics of the DEM and its interaction with LULC are included. The results seem to confirm that the biophysical value of ES is still affected by a high degree of uncertainty and encourage an expert field campaign as the only solution to use ES mapping for a regulative land use framework.

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