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The EU Regulation 1305/2013 on support for rural development and its  In order to shed light on the interactions between the sectoral policies and heritage protection objectives, this article focuses on the preservation of agricultural landscapes within the EU rural development policy, the second pillar of the CAP, which is often put forward as being powerful instrument in transforming the European agricultural landscapes. Based on the analysis of the EU 1305/2013 Regulation, rural development plan of Liguria and semi-structured interviews with key stakeholders, the article highlights the points of weakness and strength of the communitarian rural development policy in regards to the preservation of heritage agricultural landscape.

An increasing necessity in the inter-sectoral cooperation and coordination of the sectoral policies. Given the multifunctional nature of agriculture, the protection of agricultural landscapes involves the legal and institutional pluralism. Based on the critical analysis of the sectoral planning instruments in Italy, the paper tries to establish a comprehensive understanding and exemplification overlaps, links, and clashes that have an effect on the protection of agricultural landscapes.

Ente di afferenza: () Copyright c by Società editrice il Mulino, Bologna. Tutti i diritti sono riservati. Per altre informazioni si veda https://www.rivisteweb.it Licenza d'uso L'articoloè messo a disposizione dell'utente in licenza per uso esclusivamente privato e personale, senza scopo di lucro e senza fini direttamente o indirettamente commerciali. Salvo quanto espressamente previsto dalla licenza d'uso Rivisteweb,è fatto divieto di riprodurre, trasmettere, distribuire o altrimenti utilizzare l'articolo, per qualsiasi scopo o fine. Tutti i diritti sono riservati. Aedon 2/2019, Salpina, How sectoral policy can benefit the protection of multi-functional cultural heritage?

Climate services are technology-intensive, science-based and user-tailored tools providing timely climate information to a wide set of users. They accelerate innovation, while contributing to societal adaptation. Research has explored the advancements of climate services in multiple fields, producing a wealth of interdisciplinary knowledge ranging from climatology to the social sciences. The aim of this paper is to map the global landscape of research on climate services and to identify patterns at individual, affiliation and country level and the structural properties of each community. We use a sample of 358 records published between 1974 and 2018 and quantitatively analyze them. We provide insights into the main characteristics of the community of climate services through Bibliometrics and complement these findings with Network Science. We have computed the centrality of each actor as derived from a Principal Component Analysis of 42 different measures. By exploring the structural properties of the networks of individuals, institutions and countries we derive implications on the most central agents. Furthermore, we detect brokers in the network, capable of facilitating the information flow and increasing the cohesion of the community. We finally analyze the abstracts of the sample via Content Analysis. We find a progressive shift towards climate adaptation and usercentric visions. Agriculture and Energy are the top mentioned sectors. Anglophone countries and institutions are quantitatively dominant, and they are also important in connecting different discipline of the network of scholars, by building on established partnerships. Finding that nodes facilitating the diffusion of information flows (the brokers) are not necessarily the most central, but have a high degree of interdisciplinarity facilitating interactions of different communities. Social media abstract. #WhoisWho in #climateservices? A comprehensive map of research in #Europe and beyond

River floods are a common natural hazard in Europe, causing high mortality and immense economic damage . Human-induced climate change will alter intensity and frequency of extreme weather events, hence flood risk . While large-scale assessments of flood risk dominate , the knowledge of the effects at smaller scales is poor or incomplete, with few localized studies. The approach of this study starts from the definition of the risk paradigm and the elaboration of local climatic scenarios to track a methodology aimed at elaborating and combining the three elements concurring to the determination of risk: hydrological hazard, value exposure and vulnerability. First, hydrological hazard scenarios are provided by hydrological and hydrodynamic models, included in a flood forecasting system capable to define "what-if" scenario in a flexible way. These results are then integrated with land-use data (exposure) and depth-damage functions (vulnerability) in a GIS environment, to assess the final risk value (potential flood damage) and visualize it in form of risk maps. In this paper, results from a pilot study in the Polesine area (Po river basin) are presented, where four simulated levee breach scenarios are compared. This technique is of great interest to decision makers who are interested in gaining knowledge about possible direct losses from river flooding events. It can also be an important tool to guide decision making and planning processes, to help them understand how to reduce risk to river flood events. As future perspective, the employed methodology can also be extended at the basin scale through integration with the existent flood warning system to gain a real-time estimate of floods direct costs.

Significance Statement Landscape fragmentation is increasingly undermining the capacity of ecosystems to provide services and benefits to humans. The development of a green infrastructure network can enhance the provision of ecosystem services connecting ecosystem features. We review and explore the concepts, methodologies, and applications that allow to analyse connectivity of green infrastructure networks and the role of spatial connectivity for supporting and maintaining ecosystem services. Together with connectivity, the quality, quantity, diversity, redundancy, and distances of ecosystem elements result to be important characteristics to support the provision of services. We report how spatial and connectivity-based methodologies (for example, network indices and spatial pattern analysis) can support characterisation and prioritization of green infrastructure networks for crucial interventions, both for preserving and restoring connection elements.