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CLC land cover, land use accounts and agri-environment (policy) analysis

CLC land cover, land use accounts and agri-environment (policy) analysis. Jan-Erik Petersen. Some general points. Perspective of AE analyst What are the strengths of CLC? How far can we go with one data set? How far can we go with data integration? Levels of AE analysis?.

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CLC land cover, land use accounts and agri-environment (policy) analysis

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  1. CLC land cover, land use accounts and agri-environment (policy) analysis Jan-Erik Petersen

  2. Some general points • Perspective of AE analyst • What are the strengths of CLC? • How far can we go with one data set? • How far can we go with data integration? • Levels of AE analysis?

  3. A picture of reality(?) - Member State level Cubism/patterns of reality – EU level Abstract painting – data for outcome & Cost-benefit analysis (?)

  4. Analytical boundaries Focus on output/environm. effectiveness: • Is there farm management change? • Is effort targeted on environmental problem areas? • Are we successful in achieving policy or scheme objectives? Not addressed: cost effectiveness and monetary evaluation

  5. Questions for agri-env. analysis • Level of spending by country/region? • Absolute and relative uptake figures? • Which environm. issues addressed? • What % of UAA / targeted habitat? • Targeted on environmental resources at risk / on Natura 2000 sites? • Positive environmental outcome?

  6. Platform for Integrated Spatial Assessment of Land, Biodiversity & Water, based on Corine Land Cover

  7. Natura 2000 sites Rivers (p.m. Wetlds, lakes) Landscape Natural Potential Example of spatial integration (1):Potential connectivity of Natura2000 sites EEA/Land Accounts Project Provisional results (Nov. 2004) jean-louis.weber@eea.eu.int

  8. Natura 2000 sites Portugal-Alentejo Farmland abandonment Spain - Huelva Portugal-Alentejo Rivers Cultivation of marginal land Spain – Huelva (p.m. Wetlds, lakes) Landscape Natural Potential Example of spatial integration (2)N2000 & Agriculture EEA/Land Accounts Project Provisional results (Nov. 2004)

  9. Natura 2000 sites Comunidad de Madrid Algarve Urban sprawl over semi-natural land C. de Madrid Roads Portugal-Algarve Total urban sprawl Landscape Natural Potential Example of spatial integration:N2000 & Urban Sprawl EEA/Land Accounts Project Provisional results (Nov. 2004) jean-louis.weber@eea.eu.int

  10. Natura 2000 sites Urban sprawl over semi-natural land Roads Total urban sprawl Landscape Natural Potential Example of spatial integration:N2000 & Urban SprawlCoastal perspective Potential conflicts in land use: urban vs. conservation EEA/Land Accounts Project Provisional results (Nov. 2004)

  11. Intensification: conversions pasture to arable Important conversions arable to pasture & withdrawal of farming Missing data by Nov. 2004 Landscape Natural Potential Differentiation of landscape, agricultureNW Europe & New member countries Fast agriculture restructuring Delayed process ?

  12. IRENA12 “land use change” measures the use of farmland by urban and infrastructures development. Results are presented by NUTS3 Same results using the 3x3 km spatial grid of land accounts Land cover accounts based on CLC2000 are used for IRENA 12 (below) & 24

  13. From land to water: example of integration need: soil humidity Soil humidity can be efficiently measured by combining space and in situ monitoring and modelling. The parameter is used for measuring, modelling and assessing: • evapo-transpiration • water stress on ecosystems • water stress on crops • crops yields • seasonal water deficits • extension of irrigation • desertification processes • buffering capacity of soil • risks of fire • risks of flood

  14. Questions for agri-env. analysis • Level of spending by country/region? • Absolute and relative uptake figures? • Which environm. issues addressed? • What % of UAA / targeted habitat? • Targeted on environmental resources at risk / on Natura 2000 sites? • Positive environmental outcome?

  15. Some final thoughts.. • How can we adjust analytical complexity to resources available? • Prefer simple / robust solutions to complex ones • Data, analytical integration may lead to more trouble than it is worth • Sector perspective: if we are too far ahead of simple policy questions we may miss the target.

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