Corine land cover, Land accounts and scenario development An introduction Jean-Louis Weber & Ferràn Paramo 26 February 2003.

Slides:



Advertisements
Similar presentations
Landscape Ecological Potential Author: JL Weber et al., EEA Discussant: Lars Hein, Wageningen University.
Advertisements

Overview at the European scale of potential impacts of TEN-T axes on core areas of nature protection and landscape connectivity – neighbourhood analysis.
10-11 June 2004 Millennium Assessment/ AVEC/ EEA Workshop Land & Ecosystem Accounts in Europe Ronan Uhel & Jean-Louis Weber.
Spatial analysis tools for biodiversity indicators on habitats and ecosystems Expert meeting on multi-scales mapping and integrated analysis of landscape.
What if? Agro-fuel scenario Case of fallow land/set aside at risk of re-intensification Version 0.01 _ zoom on Czech Republic What if? modelling.
World Forests Forests cover 30% of the world’s land surface.
ESPON SEMINAR, November 2002 ESPON SEMINAR November 2002 Mondorf-les-Bains, Luxembourg Development of Terrestrial Environment Indicators at.
URBAN FLOODS IN GREECE Current situation and major research and development needs in Urban Flood Management Cost meeting, Warsaw, 29-31/5/2008 Vassilopoulos.
Eurosion and Conscience projects - brief overview Tom Bucx (Deltares) 9 June 2011 EEA Expert meeting Methods and tools for assessing.
Defining the HNV farming concept at EU and local levels Guy Beaufoy EFNCP Spain.
Center for Watershed Protection USDA Forest Service, Northeastern Area, State and Private Forestry How to estimate future forest cover in a watershed.
Spatial data for integrated assessment of urban areas Andrus Meiner European Forum for Geostatistics 12 October 2011, Lisbon.
ESPON seminar on May 2005 Luxembourg EEA’s contribution to spatial assessments: CORINE land cover 2000 & Land Accounts Stefan Kleeschulte, Project.
Efficient/ non efficient use of ecosystem resources: first results from ecosystem capital accounts Jean-Louis Weber & Emil Ivanov.
The Implementation of Land and Ecosystem Accounts in Europe Towards integrated land and ecosystem accounting Roy Haines-Young, University of Nottingham.
The European context: Ecosystem/Natural Capital Accounting Jock Martin Head of Programme European Environment Agency.
Dr Richard Johnson, Mountain Environments, UK.  Lead Partner: Germany: Research Institute of Forest Ecology and Forestry  Partner countries: Germany,
Proposed EEA approach to establish an environmental- compatible wind energy potential in Europe Hans Eerens MNP Netherlands Copenhagen 9 November 2006.
1 Bio-energy cropping systems Agro-environmental issues Madrid, 9/10 February 2006.
1 Expert workshop on components of EEA Ecosystem Capital Accounts Focus on biomass carbon and biodiversity data 24/03/2015.
Resource efficiency indicators: material resource use and ecosystem capital maintenance Jean-Louis Weber Special Adviser Economic-Environmental Accounting.
Analysis and flood models for Ljubljana Urban Region Elco Koks & Hans de Moel.
Presentation of Land Accounts JLW. LEAC Home Introduction to land accounts Nomenclatures and definitions Spatial Assessments Builder Methodology, bibliography.
Introduction to Spatial Calculation Estimation of Areas Susceptible to Flood and Soil Loss.
EEA 2006 Accounts Update Tables. PART 1 Table 1.1: Classifying land cover and land cover change for land accounting.
Sub-global Assessments: Synthesis and Case Studies (Portugal) June 2004 Tiago Domingos.
Integrating biodiversity measurements, assessments and policy responses in an ecosystem capital accounting framework. J-L Weber, R. Spyropoulou, A.T. Peterson.
London Group Meeting Copenhagen, Denmark September 2004 Session: Policy uses of environmental accounts Indicators for Water and Land Issues Jean-Louis.
Review of the ecosystem condition account
European Environment Agency Land and Ecosystem Accounting 2008 Demonstration of Agro-Fuel and Urban Intensification Modelling Scenarios using Existing.
1 Land accounts in Europe – current state and outlook Land accounts 01/10/2015 Daniel Desaulty
Environmental impact assessment Erling Andersen, Bob Bunce, Frans Godeschalk & Berien Elbersen.
Agenda item 4.B Green Infrastructure CGBN Co-ordination Group for Biodiversity and Nature 8 th meeting – 22/06/10.
What is it about? Presents first results of applying MAES analytical framework and outlines the advantages and constraints of European ecosystem assessments.
Slides on land accounts of Ireland prepared for Bridging The Gap Dublin April 2004 JLW.
NERI Roskilde Tuesday, May 18 th 2004 EEA activities and projects on spatial analysis and land accounting Jean-Louis Weber, EEA LANDSCAPE EUROPE Seminar.
Implementation of Simplified Ecosystem Capital Accounts for Europe Jean-Louis Weber Adviser to the European Environment Agency on Economic-Environmental.
Accounting for ecosystems & biodiversity at the EEA Jean-Louis Weber Environmental accounting / Spatial analysis.
Land accounts at the EEA Jean-Louis Weber & Ferràn Paramo 3 February 2004.
What if? prospects based on Corilis Alex Oulton, Manuel Winograd Ronan Uhel & Jean-Louis Weber LAND QUICK SCAN INTERFACE: Challenges and needs Internal.
The concept of the integrated spatial platform for land, water and biodiversity Ronan Uhel.
PRELUDE PRospective Environmental analysis of Land Use Development in Europe European Environment Agency PRELUDE European Environment Agency.
27-28 April 2005Geoland workshop GEOLAND workshop Medium resolution change detection April 2005, JRC, Ispra EEA’s requirements for European assessments.
Modelling with CORILIS Change in land cover patterns, landscape ecological potential & “temperatures” on N2000, river basins and UMZ Wire frame and examples.
Assessment of the state of coasts in Europe – EEA activities and needs Andrus Meiner, European Environment Agency European Conference on Coastal Zone Research:
Land Use and Spatial Planning in Biodiversity 2020 Strategy EIONET Interest Group on Land Use and Spatial Planning Sep Markus Erhard, European.
Markus Erhard European Environment Agency (EEA) 1. Introduction:
Felix Müller, Ingo Zasada, Regine Berges (ZALF) Klaus Müller, Armin Werner, Verena Toussaint, Annette Piorr Linking European Land Use Change and Landscape.
CLC land cover, land use accounts and agri-environment (policy) analysis Jan-Erik Petersen.
Land use and spatial planning (LUSP)
Land accounts at the EEA
Markus Erhard European Environment Agency (EEA) 1. Introduction:
Land use and spatial planning (LUSP)
Accounting for ecosystem costs and benefits at different scales…
Landscape Indicators using EU wide datasets
Development of a methodological framework (EEA contributions)
Selected maps of land cover change in Europe produced from land accounts based on Corine land cover Vol.1: Trends in agriculture and urban.
Impact of the new Cohesion policy
A three steps assessment
Mandate of the EEA To provide the Community and Member States with:
Land Cover and Land Use Statistics
Land and Ecosystems Accounts (LEAC) &
WP05: Turkey Land Use Change Model
What if? modelling with CLC/LEAC/CORILIS Attempt at mapping areas prone to agriculture intensification (What if? Agro-fuel scenario) Case of fallow land/set.
EEA contributions to implementation of BD2020 Strategy
Land Use Modelling Group, Sustainability Assessment Unit (DG JRC)
What if? prospects based on Corilis
Outline The 2010 Baseline – Rubicode matrix
Jean-Louis Weber Spatial Analysis Group European Environment Agency
Corine Land Cover and Land & Ecosystem Accounting tools
Presentation transcript:

Corine land cover, Land accounts and scenario development An introduction Jean-Louis Weber & Ferràn Paramo 26 February 2003

Why accounting for Land? Produce synthetic assessments, keeping track of the geographic differences Analyse the relation between the changes of land cover and land use, in physical and monetary terms and contribute to the development of scenarios…

First, avoiding this… Net intensification of land use by Sea Catchments Net intensification of land use by Country Net intensification of land use by Biogeographic regionsNet intensification of land use by Watershed

and this… Changes in Tourism intensity, to , by NUTS2

The concept of stock & flow accounts Gains Losses

The aggregation issue From many land cover units to regions & to landscape types From many land cover changes to flows of consumption of cover and formation of cover

From many land cover units to regions & to landscape types

CLC 1990

Landscape Types of Europe used for LEAC wwwwwwwwwwww wwwwwwwwwwww wwwwwwwwwwww wwwwwwwwwwww

Landscape Types of the « 4 countries » used for LEAC, dominant character

Landscape Types of the « 4 countries » used for LEAC, Upland vs Lowland

Dominant landscape type of the European coast

Land Accounting Units/ Coastal Units

From many land cover changes to flows of consumption of cover and formation of cover

Nomenclature of Land Cover Flows (Level 1) LCF1Urban land management LCF2Urban sprawl LCF3Extension of economic sites and infrastructures LCF4Agricultural rotation and intensification LCF5Conversion of land to agriculture LCF6Forests creation and management LCF7Water body creation and management LCF8Changes of land cover due to natural and multiple causes

Detailed Nomenclatures of Land Cover Flows 1/3 LCF1 Urban land management LCF11Urban development/ infilling LCF12Developed land recycling LCF13Development of green urban areas LCF2Urban sprawl LCF21Urban continuous sprawl LCF22Urban diffuse sprawl LCF3Extension of economic sites and infrastructures LCF31Extension of industrial & commercial sites LCF32Extension of transport networks LCF33Extension of harbours LCF34Extension of airports LCF35Extension of mines and quarrying areas LCF36Extension of dumpsites LCF37Construction LCF38Extension of sport and leisure facilities

Detailed Nomenclatures of Land Cover Flows 2/3 LCF4 Agricultural rotation and intensification LCF41Recent extension of pasture, fallow land, set aside LCF42Planting of vineyards, fruit and olive trees over arable & pasture LCF43Rotation of annual crops LCF44Rotation of permanent crops LCF45Intensification of agriculture LCF5 Conversion of land to agriculture LCF51Intensive conversion of forest to agriculture LCF52Intensive conversion of marginal land to agriculture LCF53Diffuse conversion of forest to agriculture LCF54Diffuse conversion of marginal land to agriculture LCF55Conversion of wetlands to agriculture LCF56Conversion of developed areas to agriculture

Detailed Nomenclatures of Land Cover Flows 3/3 LCF6Forests creation and management LCF61Forests creation LCF62Forests rotation LCF63Recent felling and transition LCF7Water body creation and management LCF71Water body creation LCF72Water body management LCF8Changes of land cover due to natural and multiple causes LCF81Semi-natural creation LCF82Semi-natural rotation LCF83 Farmland abandonment without significant woodland creation LCF84Farmland abandonment with woodland creation LCF85Other land abandonment (other than farmland) LCF86Forests and shrubs fires LCF87Coastal erosion LCF88Impacts of storms, floods… LCF89Other changes and unknown

Example of basic LEAC

Land cover of the European coast, 1990

Urban extension compared to Farmland (Net Change), European coast, , hectares

Main land cover flows on European coast, hectares

Urban extension on the European coast, hectares

Extension & intensification of agriculture on the European coast, , hectares

Trends in marginal land on European coast, , hectares

Examples of indicators calculated from Land Accounts, maps (a) Urban sprawl + Extension of infrastructures (b) Intensification of Agriculture + Conversion of land to Agriculture (c) Farmland abandonment (d) Net Intensification of Land Use = (a)+(b)- (c) N.B. Indicators can be computed by Land Units, by Regions (NUTS, Basins) or/and by Landscape Types

(a) Urban sprawl + Extension of infrastructures, European coast, , NUTS3

(b) Intensification of Agriculture + Conversion of land to Agriculture, European coast, , NUTS3

(c) Farmland abandonment, European coast, , NUTS3

+ - = (d) Net Intensification of Land Use, European coast, , NUTS3

Possible scenario analysis based on CLC and LEAC 1.Overlay of CLC with existing land use scenario: CAP, TEN/TINA, Urban Polycentric development (ESPON/CRPM) … and calculate impact (e.g. with a buffer) 2.Overlay of CORILIS with the same and calculate impact on the potentials = no need of a buffer 3.Implement coefficients on CORILIS and assess the impacts on the transitions between classes (impacts by landscape types) 4.Assess zones at risk of… by physical modelling of geographic characteristics (e.g. farmland abandonment) 5.Combine « local » models with the LEAC infrastructure (Landscape types, Stock & Flow accounts), in order to have a basis for extrpolation.

e.g. Assessment of the strategic impact of the TEN by the EEA Fragmentation of regions which boundaries are existing major transport networks. Value based on the size weighted by land cover (CLC 3, 4 & 5) and by the presence of protected areas Overlay of CLC with existing land use scenarios

Scenarios to be overlaid to CLC or CORILIS

Methodology of assessment of the competitiveness/attractiveness of the peripheral regions

Current assessment

Scenario 1: « straight-line development »

Scenario 2: polycentric development Questions : What about the environment? Is one scenario better than the other? Why? Which impacts?

Overlay of CORILIS with the same scenarios as before, and calculate impact on the potentials = no need of a buffer, direct calculations…

Intensity of land cover in and in the surroundings of Regional Parks

CORILIS

Landscape diversity indices based on CLC/CORILIS

Implement coefficients on CORILIS and assess the impacts on the transitions between classes (impacts by landscape types)

Normalised index Mixed Agriculture/ Forests

Assess zones at risk of… by physical modelling of geographic characteristics (e.g. farmland abandonment)

Assessment of the risk of Farmland abandonment in Franche-Comté The risk is high when: CLC class is 243 & Land close to a forest + Land is on a slope + Land far from a main road

Combine « local » models with the LEAC infrastructure (Landscape types, Stock & Flow accounts), in order to have a basis for extrpolation.