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Use of Descriptive Statistical Indicators for Aggregating Environmental Data in Multi-Scale European Databases

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There is a strong need for accurate and spatially referenced information regarding policy making and model linkage. This need has been expressed by land users, and policy and decision makers in order to estimate spatially and locally the impacts of European policy (like the Common Agricultural Policy) and/or global changes on economic agents and consequently on natural resources (Cantelaube et al., 2012). The proposal for a framework Directive (COM (2006) 232) (EC, 2006) sets out common principles for protecting soils across the EU. Within this common framework, the EU Member States will be in a position to decide how best to protect soil and how use it in a sustainable way on their own territory. In this policy document, European Commission identifies 8 soil threats: soil erosion, soil organic carbon decline, salinisation, landslides, soil compaction, biodiversity and soil contamination. The policy document explains why EU action is needed to ensure a high level of soil protection, and what kind of measures must be taken. As the soil threats have been described in the proposed Soil Thematic Strategy for Soil Protection (COM (2006) 231), there is a need to address them and relative issues at various scales; from local/province scale, to regional/national scale, and at the end to continental/global scale. The modeling platform should be constructed in such a way that knowledge and information can be passed along the spatial scales causing the minimum loss of information. Particular interest will be given to outputs from the aggregation model such as organic carbon decline, soil erosion and soil. Soil data and information are highly relevant for the development, implementation and assessment of a number of EU policy areas: agriculture, soil protection, bio-energy, water protection, nature protection, development policy, health and sustainable development. All those policy areas request soil data in various scales depending on the application.
2013-01-08
InTech
JRC72308
978-953-51-0647-0,   
http://www.intechopen.com/books/modern-information-systems,    https://publications.jrc.ec.europa.eu/repository/handle/JRC72308,   
10.5772/38696,   
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