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Ecoinformatics Indicators workgroup

Ecoinformatics Indicators workgroup. Berkeley 23-25 October, 2006 David Stanners. Overview. EEA indicators update IT systems and indicators – SEIS Aggregate & composite indicators Defining sustainability – SCP Effectiveness Evaluation. 1. EEA Indicators update.

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Ecoinformatics Indicators workgroup

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  1. EcoinformaticsIndicators workgroup Berkeley 23-25 October, 2006 David Stanners

  2. Overview • EEA indicators update • IT systems and indicators – SEIS • Aggregate & composite indicators • Defining sustainability – SCP • Effectiveness Evaluation

  3. 1. EEA Indicators update • From SOER 2005 to SOER 2010 • Belgrade report – June 2007 (see separate presentation) • GEO-4 UNEP – Sept 2007 • WHO CEHAPE review – May 2007 • Thematic indicators – biodiversity, marine... • Sectoral indicators – construction, food... • Regional – Mediterranean – EEA mandate • Sustainability indicators – SDS review – new EEA mandate – reform of structural indicators • Environment & health – BoD methodological • ”Late Lessons fron Early Warnings” Vol 2

  4. Information & assessment tools • Statistics & monitoring data / geo-referencing as the basis • “Core set” of indicators to monitor key trends and warning signals • “Scorecard” to compare and measure progress • Environmental accounting to understand stocks & flows • Effectiveness evaluation to improve performance • Country “profiling” to understand local conditions • Good practices to share successful experiences (local, regional, national) • Scenarios to imagine plausible futures and stimulate new thinking

  5. Problem statement – indicators as part of an monitoring/information system • Growth and divergence of indicator & reporting activities (see e.g. List of 2007 reports!) • Divergence of indicator and data activities • Divergence of assessment and indicator and data activities • Lack of temporal, spatial, discipline continuity • Lack of overall concept linking, data, indicators and assessment • Need for linking people (experts, users, stakeholders) involved – people as part of the information system  Linking the different parts – Towards more Integrated & Effective Activities

  6. The data line Data in Data out

  7. The information cross Quantitative Data in Information out Qualitative

  8. The Knowledge-Innovation sphere Innovation cycle Effective products & services

  9. The data line Data in Data out

  10. The data line Country reporting Data/Statistical compendia Reporting the best available Compiling available data Data in Data management Data out Data reports

  11. The data line Country reporting Data/Statistical compendia Reporting the best available Compiling available data Data in Data management Data out Data reports

  12. The information cross Quantitative Data in Information out Qualitative

  13. The information cross Quantitative Thematic & sectoral indicator sets Sectoral data sets Core Set of Indictaors Thematic data sets SOERs etc Data in Data management Information out (Integrated) Assessments Qualitative

  14. The information cross Quantitative Thematic & sectoral indicator sets Sectoral data sets Core Set of Indictaors Thematic data sets SOERs etc Data in Data management Information out (Integrated) Assessments Qualitative

  15. The information cross - systemisation Quantitative CS-Indicators & IA(Modelling) SEIS Data in Data management Information out Integrated Assessments Qualitative

  16. The information cross – the missing half Quantitative SEIS CS-Indicators & IA(M) Data in Data management Information out Integrated Assessments ?? ?? Qualitative

  17. The information circle Quantitative SEIS CS-Indicators & IA(M) Data in Data management Information out Integrated Assessments Effectiveness evaluation Outlooks Participatory processes Scenarios Clearing houses, BATs… Practices/experiences ”Late Lessons” Qualitative

  18. The information circle Quantitative SEIS CS-Indicators & IA(M) Data in Data management Information out Integrated Assessments Effectiveness evaluation Outlooks Participatory processes Scenarios Clearing houses, BATs ... Practices/experiences ”Late Lessons” Qualitative

  19. The information circle – systemisation? Quantitative SEIS CS-Indicators & IA(M) Data in Data management Information out Integrated Assessments An SEIS for qualitative information? (Gathering & organising practice, experiences, lay & local knowledge) Knowledge based assessments Qualitative

  20. The information circle - systemisation Quantitative SEIS CS-Indicators & IA(M) Data in Data management Knowledge for Action Gathering & organising practice, experiences, lay & local knowledge Knowledge based assessments Qualitative

  21. The Knowledge-Innovation sphere Innovation cycle

  22. Innovation cycle Effective products & services EEA/Eionet role Towards more integrated & effective activities linking the different actors  knowledge for action Capacity* building Business, Children / Education..... *the ability to improve the environment and influence others Target audiences Regulatory bodies....

  23. Reinforcing development of indicators linking to.... • Sectors • Prospective analysis, scenarios & outlooks • Model interfacing • Uncertainty/sensitivity analysis • Participatory methods • Policy effectiveness assessment • Spatial analysis .......

  24. Reversing the thinking Reporting Assessment Information Data Monitoring Monitoring Data Information Assessment Reporting

  25. Air pollution: Reporting Is progress in the implementation of agreed policies on ammonia enough to reach targets?

  26. Air pollution: Assessment "Changes in agricultural practice and lower animal numbers are expected to reduce ammonia emissions to X mln tonnes above the NECD target in 2010. In Denmark, the Netherlands, Germany and Belgium it will be necessary either to reduce the amount of cattle with an additional Y% or to support the building of low-emission stables and to ban the conventional distribution of liquid manure on the fields".

  27. Ammonia emissions, EU15 emissions N-critical load exceedance CLRTAP target NECD target Air pollution: Information

  28. data spreadsheets bases models • Basic statistics • Emission coefficients and emissions • Scenarios for societal developments • Measures and their effects Air pollution: Data

  29. How to codify this? • Core set of indicators • Part of indicator definitions (metadata) • Links to data sources, models,the environmental issue and policy questions • By codifying the meaning of the indicator (how it relates to the phenomena it aims to ”indicate” and the policy questions) we can automate indicator production and shift effort to assessment and interpretation.

  30. Innovation cycle Effective products & services Networking Towards more effective products and services (knowledge for action) – a learning innovation cycle Capacity* building Business, Children / Education..... *the ability to improve the environment and influence others Target audiences Regulatory bodies....

  31. 2. IT systems and indicators - SEIS • IT systems to support presentation, access and analysis to indicator information and supporting data and metadata • Role of the European Shared Environment Information System (SEIS) • Data Centres – administrative arrangement

  32. Data centres • EEA • Air • Climate change • Water • Biodiversity • Land use • Eurostat • Natural resources • Waste • Integrated product policy • JRC • Forestry • Soil

  33. CORINE 1995 - 2005+: ”reporting” information system EEA Node Node 2005 – 2013+: ”shared” environment information system EEA Node Evolution of Europe’s Environmental Information System 1985 - 1995 - 2005+: ”stand alone” information system

  34. Common components of a SEEIS node

  35. Components of EEA SEEIS node

  36. Integrating data sets 2005 to 2008….. http://dataservice.eea.eu.int/sdi

  37. Applied across the collaborating organisations  a key component of SEEIS

  38. 3. Aggregate & composite indicators • EEA Scientific Committee opinion • Commission now reviewing seriously Ecological Footprint • Towards a basket of Aggregate indicators (common metric) • Skepticism on use of Composite indicators (no common metric) • See Excel dbase of composites

  39. 4. Defining sustainability • EU SDS review and revision of structural indicators • Sustainable consumption & production (SCP)

  40. SDS review • SD now overarching Lisbon agenda • New request to EEA – measuring resource efficiency • Revision of structural indicators (ESTAT lead) • SCP – a more practical understanding of SDS?

  41. Sustainable consumption & production (SCP)

  42. Content • How we see sustainable consumption and production • A storyline of unsustainable consumption and production in Europe • Results from our NAMEA project

  43. 1. Defining SCP ‘SCP is a holistic approach to minimising negative environmental impacts from the production-consumption systems in society. SCP aims to maximize the efficiency and effectiveness of products, services, and investments so that the needs of society are met without jeopardizing the ability of future generations to meet their needs.’ (Norwegian Ministry of the Environment, Oslo Symposium, 1994)

  44. 1 (cont.) Material flows in the economy

  45. 1 (cont.) What influences consumption and production? Source: Household consumption and the environment, EEA, 2005

  46. 1 (cont.) Economic actors

  47. 1 (cont.) What are the drivers? Increasing incomes Aging population Basic needs Status goods Desire to own Individualism Old habits Fitting to norms Goal of GDP growth Public procurement Infrastructure Private financing Subsidies (EU + MS) Globalisation Marketing Advertising Packaging Pricing Need for profit Energy markets Inertia of establ. industry Country specialisation

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