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The objective of this paper is to provide an overall perspective on peri-urban ecosystem services in European Countries. The phenomenon of urbanization affecting our era has seen the shift of the city from compact and well-defined structures to agglomerations with a seamless expansion. This has led to several environmental consequences that have affected the urbanized areas and the surroundings. The peri-urban areas may be the main urban design and planning challenge of the 21st century. These hybrid landscapes, characterized by high fragmentation, can be turned into opportunities to improve the sustainability and quality of urban areas, generating multiple economic, social and environmental benefits. Areas beyond the immediate urban core can be considered a zone of influence, which represent a critical resource in terms of provisioning, regulating, supporting services and cultural ecosystem services. Our study has been developed in the framework of the project “Fertile Lands, Fragile Lands” funded by the University of Catania. A multi-phased method has been applied, showing strong, heterogeneous ties between landscape and ecosystem services. While the importance of literature studies on this topic is well recognized, the same attention has not been placed on the tools and methods of conducting systematic and incremental literature reviews. Using Leximancer software, we propose a text mining approach to extract relevant themes and concepts as well as related topics of interest from identified literature on peri-urban ecosystems. We first introduce the overall methodology and then discuss each phase in detail. The outputs can be used as starting point for broad exploratory reviews and allow further exploration in this issue. The results show how the peri-urban space can be seen as a mosaic in which the settlement, the agricultural and the environmental systems interact and coexist, placing at the centre the relationship of reciprocity between the built environment and the open territory.

Shedding Light on Peri-Urban Ecosystem Services Using Automated Content Analysis