1. 1 Ecological landscape connectivity (corridors) Gebhard Banko EEA: Jean-Louis Weber ETC/TE: Ferran Paramo, Oscar Gomez, Stefan Kleeschulte Alterra: Sander Mucher, Irene Bouwman ETC/TE EiONET workshop Land and ecosystem accounting 30-31 January 2006 EEA, Copenhagen

2. 2 Ecological corridors Task: identify connectivity of landscape  Requirement: reproducable methodology Challenge: Bridging the gap  Link between available standardised data - CORILIS - derived from CLC 2000 data  And scientific sound biological driven methodology - LARCH model - developed by Alterra DATA KNOWLEDGE

3. 3 Conceptual model Connectivity of landscape 1. patches 2. key patches 3. networks (with or without key patches) 4. Corridors

4. 4 forest patches

5. 5 Key patches > 30 km 2

6. 6 networks

7. 7 corridors

8. 8 forest patches networks

9. 9 LARCH modell (species oriented) Ecological profile :“a range of species with similar sensitivity to landscape resistance” (Opdam et al 2002) Key-population : “persistant population due to its low extinction rate, compensated by an equally small recolosiation rate (1 im/generation)” Key-patch : “patch in a network that supports key population”

10. 10 Ecoprofiles x x x x x x x x x x x x x x x x x x Pouwels et al, 2002 Dispersal range Key patch size

11. 11 Synergyies (translation of knowledge into data compatible terminology) LARCH Species group:CORILIS Dispersal distance: 25 km smoothing: 25 km Forest bound speciesClass 3.2 KP: 30 km 2 Thresholds (interactively): >70% for KP >60% for network Identification of corridors between networks (cost grid analysis)

12. 12 area sizes

13. 13 Work procedure 1. total sum FOREST classes 2. reclassify grid into 9 classes 3. convert grid into vector 1. calculate areas in vector file 4. apply area-thresholds for types of network 1. KP > 30 km2 2. network with KP > 120 km2 3. network without KP > 180 km2

14. 14 CORILIS forest data (311+312+313) Restrict anaylsis to central and southern Europe

15. 15 Conceptual model Connectivity of landscape 1. patches 2. key patches 3. networks (with or without key patches) 4. Corridors

16. 16 Reclassification according to key patches (KP) and networks (NW)

17. 17 NW with KP (dark blue) and NW without KP (light blue)

18. 18 Conceptual model Connectivity of landscape 1. patches 2. key patches 3. networks (with or without key patches) 4. Corridors  Cost distance analysis  Identification points to move to (source points)  Selection of points to from (FROM points)  Calculation of cheapest path  manual interpretatoin of corridor types  technical, important, core

19. 19 source points for cost distance calculation

20. 20 cost distance grid

21. 21 From-points I: centre points of core areas

22. 22 From-points II: systematic 100*100 km grid

23. 23 From-points: combination of two layers

24. 24 Cost paths and FROM points

25. 25 Cost paths

26. 26 Cost paths and CORILIS forest grid

27. 27 derivation of core corridors visual interpretation of automatically generated corridors differentiation into 3 classes  technical corridors - resulting from regular grid-points - minor ecological importance  important corridors - connecting major areas of forest coverage  core corridors - connection between core areas - PLUS: manual digitising of missing core corridors due to the arbitrary selection of „source points“ for corridor analysis not all connection between core areas were found atomatically

28. 28 core areas and all corridors

29. 29 core areas and important corridors

30. 30 core areas and core coridors

31. 31 Corridor analysis Fragmentation of corridors  by traffic infrastructure  by urban morphological zones connectivity through Natura 2000

32. 32 roads (Teleatlas FCR=0)

33. 33 roads and corridors

34. 34 potential barriers of corridors 216 fragmentations

35. 35 Corridor analysis Fragmentation of corridors  by traffic infrastructure  by urban morphological zones connectivity through Natura 2000

36. 36 UMZs and CORILIS

37. 37 UMZs and corridors

38. 38 UMZ as barriers for corridors

39. 39 named UMZ

40. 40 Corridor analysis Fragmentation of corridors  by traffic infrastructure  by urban morphological zones connectivity through Natura 2000

41. 41 Natura 2000 areas

42. 42 Natura 2000 areas and countries

43. 43 Natura 2000 areas and corridors

44. 44 Natura 2000 areas in corridors

45. 45 corridors = Natura 2000

46. 46 Natura 2000 in the core area/corridor system 20 % of corridors are Natura 2000 areas

47. 47 conclusions Bridging DATA and knowledge Species oriented approach  Key patch  Network  Corridor GIS based analysis  Cost distance  reproducable methodology Fragmentation and connectivity