1. 11 December 2008 P. Everaers, Eurostat, Directorate D Data Requirements and Conceptual Framework for Agricultural Statistics Discussion P. Everaers (Eurostat) ‘Agriculture – environment linkages including land use’

2. 11-Dec- 2008 Overview The conceptual framework : agriculture and environment, land use : a mind setter, but not yet a conceptual model To operationalize ;choices to be made, start with the basic entities Starting from where : a practical approach land use : the LUCAS example. Questions for discussion

3. 11-Dec- 2008 Elements of a conceptual model (in sociological research terminology) Choice of entities Choice of indicators and subsequently variables and items Scheme of possible relations In a context : paradigma

4. 11-Dec- 2008 Conceptual model : Operationalisation Theoretical concept Theory » indicator Paradigma Measurement theory variable » item

5. 11-Dec- 2008 What we have : the conceptual framework Is a mind map

6. 11-Dec- 2008 The context will lead to the theoretical concepts and determine the (core) variables : there are at least three starting points 1.Supply and utilization of agricultural products Early warning Efficient Market system 2.Poverty and Hunger reduction Food security 3.Agricultures effect on the environment Climate change

7. 11-Dec- 2008 Or to start from the current situation in agricultural statistics request the choice of a context Nothing or very poorly developed, marginally functioning NSDS as basis: to be adapted Developed systems To search for the common denominator

8. 11-Dec- 2008 The basic entities : the fundamental choice that at the end defines the quality of the integrated system we are aiming for. We have to use the entity that facilitates all aims Survey base Based on administrative sources Based on ‘more advanced’ techniques

9. 11-Dec- 2008 Relation between the basic entities Area/ Parcel Person/family/ Household Farm/ holding Spatial coordinates

10. 11-Dec- 2008 The example of LUCAS : Land Use Cover Areal frame Survey

11. 11-Dec- 2008 What is LUCAS? LUCAS is a field sample survey for collecting data on land cover/use and agro-environmental indicators Organised by Eurostat every 3 years LUCAS data is used for producing harmonised land cover/use data for EU countries Main data users are DG ENV, DG JRC, DG ENTR, DG ARGI, DG REGIO and European Environment Agency

12. 11-Dec- 2008 What is LUCAS? LUCAS is a field sample survey for collecting data on land cover/use and agro-environmental indicators Organised by Eurostat every 3 years LUCAS data is used for producing harmonised land cover/use data for EU countries But can also be used to collect and link with a lot of other information

13. 11-Dec- 2008 1 100 000 points Photointerpretation: Classification in 7 strata Ground survey Parameters Land cover Land use Transect, etc. Dissemination LUCAS data collection process Sample of 260,000 pts

14. 11-Dec- 2008 West East North South Land Cover “sunflower” Land Use “agriculture” Data collection process: Ground survey

15. 11-Dec- 2008 1. LUCAS informative content Land cover and land use Lucas 2006 – Land cover statistics

16. 11-Dec- 2008 250 m eastwards Transect C01B43C01B75026202B4315B16 Broadle aved forest Other vegetab les Broadle aved forest Other fruit trees Herb fringes RoadHerb fringes Other vegetab les Woodla nd margins Maize 2. LUCAS informative content Indicators of landscape diversity and heterogeneity Landscape photos 2. LUCAS informative content

17. 11-Dec- 2008 Spatial coordinates as starting point for an integrated data base Spatial coordinates to be included in Orthogonal photographs : info on sample frame Remote sensing : info on land and soil, events Surveys : info on persons, households, farms, holdings Observations : info on soil, eco system, environment Administrative sources : info on production, sales, trade

18. 11-Dec- 2008 Multiple users !! LUCAS Multipurpose platform Key customers: DG ENV DG JRC DG ENTR DG AGRI DG REGIO EEA INSPIRE Spatial Metadata Land use Data Centre EEA Shared Environmental Information System DG ENV GMES GEOLAND DG ENTR Technical support DG JRC SOIL SAMPLE

19. 11-Dec- 2008 Questions / points for discussion What do we miss when we measure on the household level? Can we manage with aggregated information The strategy should distinguish levels of implementation according to the context (paradigma) in combination with the level of development (nothing to poor systems – NSDS – developed systems), and accordingly should use different levels of conceptual models. One global model, is this possible ?

20. 11-Dec- 2008 Q and D : Cont’d The entity to start with in the integrated (conceptual and data) model is on the spatial level : the spatial coordinate or the area code Is the current draft strategy in its conceptual model maybe too much developed country oriented : should we not focus on the MDG related actions? A layered conceptual model, also from the point of view of feasibilty for introducing the strategy seems to be needed

21. 11 December 2008 P. Everaers, Eurostat, Directorate É Thank you