1. LUCAS Task Force
Taking stock

2. Taking stock
Based on the input provided by task force members, additional inquiries have been implemented related to the future LUCAS.
LUCAS grants results
LUCAS user needs
Legal base
Methodological aspects are discussed separately

3. LUCAS grant results Applications
Grants 2012: DE, EL, IT, NL, NO, PL, PT
Grants 2014: AT, FI, FR, HU, IT, RO
2012
2014
Part A (statistics) 7 6
Part B (survey) 3 +2

4. LUCAS Grants results – Part A
Statistical tables (NL - georeferencing), IT – stratification…)
Quality assessment: using LUCAS points,
Problem categories for LC: shrubland, grassland, wetland, bare land…
Problem categories for LU: industry, commercial vs. financial, transport…
Use of European data sets
Updated dataset

5. Portuguese Agricultural Parcel Identification
Theme 
LUCAS
COS'07 Level 5
NFI
Agricultural Census
Portuguese Agricultural Parcel Identification
Level 1
Level 2
Level 3
LAND COVER (LC)
Portugal
A ARTIFICIAL LAND
A10 Built-up areas
High (1:M)
Medium (1:1)
Null
Poor (1:1)
A20 Artificial non-built up areas
B CROPLAND
B10 Cereals
Medium (M:1)
Poor (M:1)
B20 Root crops
B30 Non-permanent industrial crops
B40 Dry pulses, vegetables and flowers
B50 Fodder crops
B70 Fruit, nuts trees and berries
B80 Other permanent crops
C WOODLAND
C10 Forest FAO
C11 broadleaved (75%)
C12 coniferous (75%)
C13 mixed
C20 Other wooded land (FAO)
Medium (1:M)
C30 Other wooded land (non- FAO)
Poor (1:M)
D SHRUBLAND
D10 Shrubland with sparse trees
High (1:1)
D20 Shrubland without trees
E GRASSLAND
E10 Grassland with sparse trees
E20 Grassland without trees
E30 Spontaneous vegetation
F BARE LAND AND LICHENS
F10 Rocks and stones
F20 Sand
F30 Lichens
F40 Other bare soil
G WATER
G10 Inland water bodies
G20 Inland running water
G30 Coastal water bodies
G50 Glaciers, permanent snow
H WETLAND
H10 Inland wetlands
H20 Coastal wetlands

7. LUCAS Grant results – Part B
Full LUCAS implementation is the exception
IT: agricultural survey, no possibility to collect additional parameters
NO: update cycles different
PL: to be developed, different methodology
Methodology: IT, PT

8. Conclusion on grants Statistical data
Mixed situation for basic classes
Few detailed classes covered
In-situ data
Few use cases
Integration of survey difficult
Integration of survey results

9. LUCAS user needs - assessment
Updating 2013 user needs
Bilateral meetings with each DG
Detailed survey:
General user needs
Legal references
Classification for statistical tables
Classification for in-situ data & all LUCAS in-situ elements

10. LUCAS user needs – general
Statistical tables
In-situ data

11. LUCAS user needs – statistical tables classification

12. LUCAS user needs – in-situ elements and classification
All elements included:
LC, LU, management, photos…

13. LUCAS user needs - assessment
All data collected is requested, except some of the detailed crops
Several models use LUCAS data: CAPRI, LUISA, ESTIMAP
NUTS 2 or 3
Further needs:
Specific in-situ modules: soil, grassland/transects
COPERNICUS: fine-tuning

14. Specific module – soil - requests
Carbon stock or carbon content & soil density  bulk density
Soil acidity / salinization
Soil heavy metals content
Soil moisture
Soil texture
Soil biodiversity
Electrical conductivity
Soil nutrient content
Soil loss by water erosion
Quantification of cultivated histosols (share)
Soil profiles

15. Specific module – soil - requests
Sampling design: hotspots (peatland?)
Biodiversity: two assessment approaches
Field measurements using a sensing probe with revisit of the site.
Soil sampling for further laboratory measurement
Soil physical properties
Bulk density
Penetrometer (in situ), auger
Electrical conductivity
As part of the routine test, possible already for the 2015 samples.

16. Specific module – grassland
Grassland categorization acc. to GRASSDATE recommendations (Velthof et al (2014)); grass yield; cutting/grazing regime/visible signs of grazing; grazing land management (degraded, improvements), share of leguminous grasses; nutrient content of grass.
Irrigation, drainage, planting of productive varieties, tillage (conventional, conservation, zero)
Additional details for permanent grassland (GRAS) and temporary grassland (OFAR: leguminous grasses, temporary grasses, … corresponding to B50 subcategories) needed beyond that list.
Cropland and grassland input: fertiliser application rates, organic amendments,
Crop rotation systems

17. LUCAS user needs – legal references
Environmental policies
7th Environmental Action Programme
Natural capital, resource efficiency, sustainable cities, increased information
Biodiversity strategy
Union Forest Strategy
Green Infrastructure
Habitat Directive (92/43/EEC)
Birds Directive (2009/147/EC  79/409/EE)
COPERNICUS
Soil strategy
Communication on land as a resource (2015)

18. LUCAS user needs – legal references
Climate change policies
Accounting rules on greenhouse gas emissions… (Decision No 529/2013/EU)
Renewable Energy Directive
Kyoto protocol
Agricultural policies – CAP 2014 – 2020
Sustainable management of natural resources and climate action, provide environmental public goods
Good environmental conditions, good soil conditions
Assessment of emissions from organic soils
Monitor and evaluation framework
Regional policies
6th Cohesion report: Urbanisation, industrial development, commerce and market evaluation

19. Conclusions – user needs
Needs confirm LUCAS content
Legal references documented
In-depth developments on user needs (soil, grassland/transects, Copernicus) by the end of 2015

20. Legal base: LUCAS survey
Mixed approach:
Implementation of a LUCAS in-situ survey by different stakeholders (Member States, Commission) in varying constellations.
 no mixed approach does not mean that Member States data is not taken into account
compare with LUCAS statistics
integrate in LUCAS data analysis to improve results

21. Mixed approach: cycle 1) Grants to Member States
(budget, call, implementation)
2) Commission tender based on grant results
(budget, tender, implementation)
Evaluation with legal and financial unit
Cycle approach not feasible in 3 years
Aim reached?!
No parallel approach: grant signatures are not known in time, risk to not reach the aim
Cost-effectiveness?!
Points will need to be visited twice, economy of scale is reduced, contract handling costly.

22. Coordination activities in Eurostat

23. LC/LU Coordination Internal cooperation Cooperation with other DGs
Crop statistics and FSS
Forest
Environment
Demographics
GISCO
National Accounts
Cooperation with other DGs
User needs survey
INSPIRE compliance

24. Code harmonization project
Started 2007 (in 2011 for agriculture)
Several domains involved
10 codelists (out of 500 codelists in Eurostat) for agriculture have been cleaned
Aim: same code for the same product in the different domains
LUCAS touches many domains (AGR, APRO, DEMO, MAR, MET, URT, LAN, FOR, EF, MED)

25. Code harmonization project

26. Code harmonization project
lan_lcv_ovw LCC Woodland LCC1 Forest FAO LCC11 Broadleaved and evergreen forest LCC12 Coniferous forest LCC13 Mixed forest LCC2 Other wooded land FAO LCC21 Broadleaved and evergreen other wooded areas LCC22 Coniferous other wooded areas LCC23 Mixed other wooded areas LCC3 Other wooded land no FAO LCC31 Broadleaved and evergreen other LCC32 Coniferous other LCC33 Mixed other lan_lcv_ovw LCD Shrubland LCD1 Shrubland with sparse tree cover LCD10 Shrubland with sparse tree cover LCD2 Shrubland without tree cover LCD20 Shrubland without tree cover lan_lcv_ovw LCE Grassland LCE1 Grassland with sparse tree/shrub cover LCE10 Grassland with sparse tree/shrub cover LCE2 Grassland without tree/shrub cover LCE20 Grassland without tree/shrub cover LCE3 Spontaneous vegetation LCE30 Spontaneous vegetation
for_area LAND_X_WT Total land area without
water bodies
for_area FOROWL Total area of forests and
other wooded land
for_area FOREST Forests
for_area OWL Other wooded land
for_area FAWS Forests available
for wood supply

27. LUCAS Survey Classification (2015)
Land cover
C00 WOODLAND
C10 Broadleaved woodland
C20 Coniferous woodland
C21 Spruce dominated coniferous woodland
C22 Pine dominated coniferous woodland
C23 Other coniferous woodland
C30 Mixed woodland
C31 Spruce dominated mixed woodland
C32 Pine dominated mixed woodland
C33 Other mixed woodland
+FOREST TYPES
Land use
U120 FORESTRY

28. LUCAS Classification (proposal 2018)
Land cover
C00 WOODLAND
C10 Broadleaved woodland
C20 Coniferous woodland
C21 Spruce dominated coniferous woodland
C22 Pine dominated coniferous woodland
C23 Other coniferous woodland
C30 Mixed woodland
C31 Spruce dominated mixed woodland
C32 Pine dominated mixed woodland
C33 Other mixed woodland
+FOREST TYPES
Land use
U120 FORESTRY
U121 Forestry (tall timber)
Production of roundwood
U122 Agro-Forestry
Combined agricultural and forestry activities
including cork oak and other oaks
U123 Short-rotation forestry
8-20 year cycle
robinia, willow and poplar, eucalyptus, ash, birch
for pulp
U124 Short-rotation coppice
2-5 year cycle
robinia, willow and poplar
for energy production but also weaving

29. INSPIRe Land Use (HILUCS mandatory)
1_PrimaryProduction (…) 1_2_Forestry Production of round wood and other wood based primary products. Besides the production of timber, forestry activities result in products that undergo little processing, such as firewood, charcoal and round wood used in an unprocessed form (e.g. pit-props, pulpwood etc.). Forest tree nurseries, storage and transport areas linked to logging trees and woody plants for bio fuels are also included. These activities can be carried out in natural or planted forests. 1_2_1_Forestry Based On Short Rotation Forestry areas where the rotation period of a tree generation is 50 years or less, after which the forest is regenerated naturally or artificially with planting or seeding. Tree plantations (pulp-wood production) and wood used for biomass production also belong to this class. 1_2_2_Forestry Based On Intermediate Or Long Rotation Forestry areas where the rotation period of a tree generation is over 50 years after which the forest is regenerated naturally or artificially regenerated by planting or seeding. 1_2_3_Forestry Based On Continuous Cover Forestry areas where forest management and regeneration is based on continuous growing of trees.

30. Conclusions Grants with Member States
Collection of user needs from DGs
Coordination inside Eurostat
Detailed information on legal option
Coordination with cross-cutting initiatives