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[EN] This article presents a study based on the outputs from the LUISA Territorial modelling platform (Joint Research Centre of the European Commission) focused on regional and local future projections of land abandonment between 2015 and 2030. Spain is taken as representative of one of the countries highly affected by agricultural land abandonment in the European Union. The most relevant factors driving land abandonment (biophysical, agroeconomics, farm structure and demographic) are described and mapped. Results from the analysis reveal that the Galicia region, northern Spain (Asturias, Cantabria, Gipuzkoa, Bizkaia), north-eastern Spain (Aragon region), central Pyrenees/Ebro basin (Huesca, Navarra, Lleida) and south-eastern Spain (Murcia, Almeria, Alicante, Malaga) are expected to undergo important abandonment processes. The study also concludes that land abandonment within mountainous, high nature value farmland and Natura 2000 areas is lower compared to the outside area without conservation and protection measures ; Perpiñá Castillo, C.; Coll-Aliaga, E.; Lavalle, C.; Martínez Llario, JC. (2020). An Assessment and Spatial Modelling of Agricultural Land Abandonment in Spain (2015¿2030). Sustainability. 12(2):1-23. https://doi.org/10.3390/su12020560 ; S ; 1 ; 23 ; 12 ; 2 ; Gellrich, M., & Zimmermann, N. E. (2007). Investigating the regional-scale pattern of agricultural land abandonment in the Swiss mountains: A spatial statistical modelling approach. Landscape and Urban Planning, 79(1), 65-76. doi:10.1016/j.landurbplan.2006.03.004 ; Alonso‐Sarría, F., Martínez‐Hernández, C., Romero‐Díaz, A., Cánovas‐García, F., & Gomariz‐Castillo, F. (2015). Main Environmental Features Leading to Recent Land Abandonment in Murcia Region (Southeast Spain). Land Degradation & Development, 27(3), 654-670. doi:10.1002/ldr.2447 ; Falcucci, A., Maiorano, L., & Boitani, L. (2006). Changes in land-use/land-cover patterns in Italy and their implications for biodiversity conservation. Landscape Ecology, 22(4), 617-631. ...

[EN] The Agenda for Sustainable Development 2030 of United Nations is made up of the 17 Sustainable Development Goals (SDGs) that humanity will have to meet by 2030. In achieving the SDGs, green urban areas (GUA) play a fundamental role at the local level as they provide recreational and bioclimatic regulatory functions and act as a carbon sink, as well. Specifically, the GUAs contribute directly to three SDGs: SDG 11 Sustainable cities and communities, SDG 13 Climate Action and SDG 15 Life on land. This paper evaluates direct contribution of GUA to this SDGs with high spatial resolution in the case study of the city of Valencia (Spain). The evaluation carried out has made it possible to make a diagnosis of the quantity and accessibility of GUA at sub-neighbourhood level. The results for SDG 11 show that only 9.23% of the population do not have desirable access to GUA and 2.73% live in areas without easy walking distance access to GUA. On the other hand, the evaluation of SDG 15 shows that each inhabitant has at their disposal 10 m2 of GUA, below the average of cities of more than 250,000 inhabitants in Spain. The high spatial resolution of the evaluation has also made it possible to identify the city areas with the worst access to GUA and the least amount of GUA per inhabitant. In consequence, the results allow determining zones with high potential to improve. Additionally, the quantification of the CO2 fixed by the GUA carried out for the evaluation of SDG 13, shows that the fixed carbon is equivalent to 0.04% of total gross GHG emissions of the city and is 36% higher than the total GHG emissions of the annual fuel consumption of the total fleet in the city. Finally, the monitoring of the indicators applied allows evaluating the evolution of the GUA to improve the sustainable development of the city. ; We are grateful to the Valencia City Council, specifically the Department of Open Government and Transparency directed by Elisa Valia, through the DataGovernance VLC university chair, for being able to make ...

[EN] A rule-based topology software system providing a highly flexible and fast procedure to enforce integrity in spatial relationships among datasets is presented. This improved topology rule system is built over the spatial extension Jaspa. Both projects are open source, freely available software developed by the corresponding author of this paper. Currently, there is no spatial DBMS that implements a rule-based topology engine (considering that the topology rules are designed and performed in the spatial backend). If the topology rules are applied in the frontend (as in many GIS desktop programs), ArcGIS is the most advanced solution. The system presented in this paper has several major advantages over the ArcGIS approach: it can be extended with new topology rules, it has a much wider set of rules, and it can mix feature attributes with topology rules as filters. In addition, the topology rule system can work with various DBMSs, including PostgreSQL, H2 or Oracle, and the logic is performed in the spatial backend. The proposed topology system allows users to check the complex spatial relationships among features (from one or several spatial layers) that require some complex cartographic datasets, such as the data specifications proposed by INSPIRE in Europe and the Land Administration Domain Model (LADM) for Cadastral data ; This work has been partially supported by the research project "Creation and cartographic feeding of spatial data Infrastructures in the local government by means of a data model that integrates cadastre, planning and cultural heritage", CSO2008-04808 from the Spanish Government (CICYT) and the European Union Funds. ; Martínez Llario, JC.; Coll-Aliaga, E.; Nuñez-Andres, M.; Femenia-Ribera, C. (2017). Rule-based topology system for spatial databases to validate complex geographic datasets. Computers & Geosciences. 103:122-132. https://doi.org/10.1016/j.cageo.2017.03.013 ; S ; 122 ; 132 ; 103