51
Spatial Decision Support Ron Janssen Institute for Environmental Studies

Spatial Decision Support Ron Janssen

Embed Size (px)

DESCRIPTION

Institute for Environmental Studies. Spatial Decision Support Ron Janssen. Doelgerichte presentatie van informatie. De TGV. Napoleon’s campaign to Moscow. Poland 422000 Moscow 100.000 Poland 10000 Berezina 50000 28000 20° 28 oct. Tijd, plaats en omvang. Amoebe 2. Outline. - PowerPoint PPT Presentation

Citation preview

Spatial Decision Support

Ron Janssen

Institute for Environmental Studies

2

Doelgerichte presentatie van informatie

3

De TGV

4

Napoleon’s campaign to Moscow

Poland 422000

Moscow 100.000

Poland 10000

Berezina5000028000

20° 28 oct

5

Tijd, plaats en omvang

6

Amoebe 2

7

8

Outline

• Introduction to the plan area• Evaluation of management alternatives• A virtual environment of the alternatives• Design of management alternatives• Use of maps for evaluation

9

Land use map of the plan area

10

A typical Dutch fen meadow area

11

High natural values

12

Marginal agriculture

13

High recreational values

14

Land use in the Wormer- and Jisperveld

Land usegrassland (agriculture)grassland (buffer zone)polderforestgrassland (nature)open water

1 0 1 2 Kilometers

15

Policy alternatives

• Modern fen meadow (current)water drainage to support agricultureopen landscapefood for meadow birds

• Historical fen meadoweduced drainageraise of water tablenegative impacts for agricultureopp. for some bird and plant species

• Dynamic mirefloods in winterpermanent waterlogged soilsno agriculturepeat growth

16

Stakeholders and their interests

• Agricultural organisationsConstant water levels , water quality Accessibility, SizeContinuity and future perspectives for farms

• Recreation (fisheries)Variation in landscapesAccessibilityWater quality

• Nature Conservation OrganisationsFlexible water levels, water qualityVariation in landscapes also cultural/historic landscapesCorridors, Larger units of protected nature

• Provincial/regional authoritiesSafetyWater qualityWater quantity

17

Water quality

18

Water quantity

19

Climate change

20

Biodiversity

21

Socio-economic

22

Results of evaluation3 alternatives x 10 criteria -> 30 evaluation maps

Modern fen meadow Historical fen meadow Dynamic fen mire

c1

c2

c..

c10

23

Three evaluation paths

a1 a2 a3

a1 a2 a3

c1

c2

c3

c4

a1 a2 a3

c1

c2

c3

c4

a1 a2 a3

MCA MCA

SA

SA

Path 1

Path 2

Path 3

24

Evaluation maps

a1 a2 a3

a1 a2 a3

c1

c2

c3

c4

Total value maps

25

Evaluation maps

26

Aggregated impact table

a1 a2 a3

c1

c2

c3

c4

a1 a2 a3

c1

c2

c3

c4

Spatial Aggregation

27

Evaluation table

Modern Historic Dynamic Water quality P retention 0.02 0.06 0.25 N retention 0.11 0.19 0.56 Water quantity Water retention 0.19 0.33 1.00 Peak storage 0.00 0.50 1.00 Flood storage 0.00 0.00 0.03 Biodiversity Fauna national 0.52 0.60 0.48 Flora national 0.43 0.53 0.47 Fauna international 0.56 0.62 0.51 Flora international 0.34 0.41 0.20 Climate change Greenhouse gas balance 0.18 0.48 0.71 Socio- economic Cultural heritage 0.80 1.00 0.20 Agriculture 0.41 0.17 0.00 Recreation 0.54 0.46 0.37

MCA result

29

Total ranking

0

0.440.43

0.35

Weights

Histor Dynam Modern

Water quality

Water quantity

Biodiversity

Climate change

Socio- economic

30

Ranking per policy objective Gewichten

0.44 0.43 0.35

0.12

0.40

0.07

0.28

0.68

0.06

0.540.42 0.46

0.480.71

0.18

0.55

0.19

0.58

Histor Dyn Modern

Result

Water quality

Water quantity

Biodiversity

Climate

Socio-economic

Water quality

Water quantity

Biodiversity

Climate change

Socio- economic

31

0 .440 .30 0 .24

0 .57

0 .24 0 .21

0 .570 .41 0 .34

0 .53 0 .50 0 .46

D ynam H istor M odern

W ater quality

W ater quantity

C lim ate

B iodiversity

Socio-econom ic0 .39

0 .49 0 .44

W ater qualityW ater quantityClimateBiodiv ers itySoc io-ec onomic

W ater qualityW ater quantityClimateBiodiv ers itySoc io-ec onomic

0 .440 .30 0 .24

0 .57

0 .24 0 .21

0 .570 .41 0 .34

0 .53 0 .50 0 .46

D ynam H istor M odern

W ater quality

W ater quantity

C lim ate

B iodiversity

Socio-econom ic

W ater quality

W ater quantity

C lim ate

B iodiversity

Socio-econom ic0 .39

0 .49 0 .44

W ater qualityW ater quantityClimateBiodiv ers itySoc io-ec onomic

W ater qualityW ater quantityClimateBiodiv ers itySoc io-ec onomic

Ranking per policy priority

32

A virtual environment of the plan area

33

Raising the water table to –1.5 NAP

34

Current situation

35

Raising the water table to –1.5 NAP

36

Current situation

37

Raising the water table to –1.5 NAP

38

Figure 1 Aerial photo of the

DESIGN of land use plans for the Jisperveld

39

A 20x20 representation of the Jisperveld

40

Intensive agricul ture

Extensive agri cultur e

Resi dence

Industry

Recreation (day)

Recreation (overnight)

Wet natural area

Water (recr eational use)

Water (l imi ted access)

# of cluster s 4

Largest cl uster 50

Compactness 4.61

Are a 92

Intensive agricul ture

Nature 2189

Recr eation 2527

Costs (mln €) 115

Intensive agricul ture

Extensive agri cultur e

Resi dence

Industry

Recreation (day)

Recreation (overnight)

Wet natural area

Water (recr eational use)

Water (l imi ted access)

Intensive agricul ture

Extensive agri cultur e

Resi dence

Industry

Recreation (day)

Recreation (overnight)

Wet natural area

Water (recr eational use)

Water (l imi ted access)

# of cluster s 4

Largest cl uster 50

Compactness 4.61

Are a 92

Intensive agricul ture

Nature 2189

Recr eation 2527

Costs (mln €) 115

Design interface

41

Six Policy objectives

Maximize totals1.       Maximize the natural value of the area, 2.       Maximize the recreational value of the area,3.       Minimize cost of changing land use,

Optimize spatial characteristics4.       Minimize fragmentation5.       Maximize cluster size,6.       Maximize compactness.

42

Spatial compactness

Spatial compactness is defined as a combination of three indicators:

fragmentation largest cluster compactness

43

1 1 1 8 1 1 1 1 8 1 1 1 1 8 8 8 1 1 1 1 11 1 8 8 1 1 1 8 8 8 8 7 7 7 8 8 8 1 1 11 1 1 8 8 1 1 8 1 1 8 8 7 8 8 8 8 8 8 81 1 1 1 8 8 1 8 1 1 1 8 8 8 8 8 8 8 1 11 1 1 1 1 8 1 8 8 8 1 1 1 8 8 8 8 8 8 88 8 8 8 1 8 8 8 7 8 8 8 8 8 1 1 1 1 1 11 1 1 8 8 8 8 7 7 7 8 8 1 1 1 1 1 8 8 81 1 1 1 6 1 8 8 8 8 8 8 8 8 8 1 8 8 1 13 3 3 3 3 8 8 8 1 1 1 1 1 1 8 8 8 1 1 15 5 3 8 8 8 8 8 8 8 1 1 1 8 8 1 8 8 8 85 8 8 8 8 8 8 8 8 8 8 8 8 8 1 1 1 1 1 18 8 1 8 8 8 8 8 8 8 8 8 1 8 8 1 1 1 1 11 1 1 8 8 8 8 8 8 1 1 8 1 1 8 8 8 8 8 81 8 8 8 8 8 8 8 8 1 1 8 8 1 1 1 1 1 1 18 8 1 1 8 8 8 8 5 3 1 1 8 8 8 8 1 1 1 11 1 1 1 1 8 8 8 5 3 3 3 8 1 1 8 8 8 8 81 1 8 8 8 8 8 3 3 3 3 3 8 1 1 1 1 8 1 18 8 1 1 1 1 1 3 3 3 3 5 8 8 8 8 8 8 8 88 1 1 1 8 3 3 3 3 3 3 4 4 8 1 1 1 1 1 18 8 8 8 8 3 3 3 4 4 4 4 4 8 8 1 1 1 1 1

highly fragmented area no extensive agriculture no wet natural area.

minimum sizes for ext. agriculture maximize all objectives simultaneously.

2

large areas of extensive agriculture a 8-hectare patch of wet natural area two land areas divided by a large patch of

water (low fragmentation) cost of 115 mln €. Increase the weight for costs.

3

low value for nature due to unfavourable locations

costs are acceptable

increase weight for nature.

8 8 8 8 2 2 2 2 2 2 2 2 2 2 2 2 1 1 1 1 8 8 8 8 2 2 2 2 2 2 2 2 2 2 2 2 1 1 1 1 8 8 8 8 8 8 8 8 2 8 8 8 2 2 2 2 1 1 1 1 8 8 8 8 8 8 8 8 8 8 8 8 2 2 2 2 1 1 1 1 8 6 6 8 8 8 8 8 8 8 8 2 2 2 2 2 1 1 1 1 8 8 8 8 8 8 8 8 8 8 8 2 2 2 2 2 7 7 1 1 5 5 5 8 8 8 8 8 2 2 2 2 2 2 2 7 7 7 1 1 5 5 5 5 5 8 8 8 2 2 8 8 8 8 8 7 7 7 1 1 5 5 5 5 5 8 8 8 2 2 8 8 8 8 8 2 2 8 1 1 1 1 5 8 8 8 8 8 8 8 8 8 8 8 8 2 2 8 1 1 1 1 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 1 1 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 9 1 1 1 1 1 1 1 1 8 8 8 8 8 8 8 8 8 8 9 9 9 8 1 1 1 1 1 1 1 8 8 8 8 8 8 8 8 8 8 9 9 8 1 1 1 1 1 1 1 8 8 3 3 8 8 8 8 8 8 8 8 8 1 1 1 1 1 1 1 8 3 3 3 3 8 8 8 8 8 8 8 8 1 1 1 1 1 1 1 3 3 3 3 3 8 8 8 8 8 8 8 8 1 1 1 1 1 1 3 3 3 3 3 3 8 1 1 8 8 8 8 8 1 1 1 1 1 3 3 3 3 3 3 4 4 1 1 8 8 8 8 8 1 1 1 1 1 3 3 3 5 5 4 4 4 8 8 8 8 8 8 8

1 1 1 1 1 1 1 1 1 1 1 1 8 8 2 2 2 2 2 2 1 1 1 1 1 1 1 1 1 1 1 7 7 7 8 8 9 2 2 2 1 1 1 1 1 1 1 1 1 1 1 7 7 8 8 8 8 9 9 2 1 1 1 1 1 1 1 1 1 1 1 8 8 8 8 8 9 9 2 2 5 1 1 1 1 1 1 8 8 8 1 8 8 8 8 9 9 9 9 9 1 1 1 8 8 8 8 8 7 8 8 8 8 8 1 1 1 1 9 2 1 1 1 8 8 8 8 7 7 7 8 8 8 1 1 1 1 8 8 2 1 1 1 6 6 6 8 8 8 8 8 8 8 8 8 1 8 8 8 2 3 3 3 3 3 8 8 8 1 1 1 1 1 8 8 8 8 8 2 2 1 1 3 8 8 8 8 8 8 8 1 1 1 8 8 1 8 8 8 8 1 1 8 8 8 8 8 8 8 8 8 8 8 8 1 1 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 1 1 1 1 2 2 2 8 5 8 8 8 8 8 8 8 8 1 1 8 1 1 8 8 8 2 8 8 5 8 8 8 8 8 8 8 8 1 1 8 8 1 8 2 2 2 2 8 8 8 2 2 8 8 8 8 3 3 3 8 8 8 8 8 2 2 2 2 1 1 1 1 2 8 8 8 3 3 3 3 8 2 2 8 8 2 2 2 1 1 1 1 8 8 8 3 3 3 3 3 8 2 2 2 2 2 2 2 1 1 1 1 1 3 3 3 3 3 3 3 8 8 8 8 2 2 2 2 1 1 1 1 1 3 3 3 3 3 3 4 4 8 1 1 1 1 1 2 1 1 1 1 1 3 3 3 4 4 4 4 4 1 1 1 1 1 1 2

Interactive design of a land use plans:round 1-3

44

Round 0 1 2 3 4 5 6 7 8 Additive objectives Nature (400-4000) 1766 2189 1928 2098 2087 2037 2146 2173 1960 Recreation (400-4000) 2580 2527 2558 2514 2423 2358 2358 2410 2383 Costs (mln €) 0 115 13 12 13 20 25 27 12 Spatial objectives # of clusters int.agriculture 19 4 8 11 10 1 4 4 9 # of clusters wet nat.area 2 1 2 2 1 1 1 1 1 # of clusters water lim.use 0 1 1 3 1 2 1 3 3 largest cluster wet nat. area 4 8 5 10 25 23 21 27 31 Compactn. int.agr. (9.4-4) 5.42 4.61 4.98 5.04 5.28 4.83 4.68 4.50 4.90 Area per land use type Intensive agriculture (ha) 157 92 130 103 98 107 105 105 108 Extensive agriculture (ha) 0 58 50 52 33 48 51 51 43 Residence (ha) 28 26 34 29 35 28 28 28 32 Industry (ha) 7 5 7 8 8 8 7 7 7 Recreation (day) (ha) 6 16 3 5 5 21 5 5 6 Recreation (overnight) (ha) 1 2 3 11 8 9 2 8 9 Wet natural area (ha) 8 8 9 14 25 23 21 27 31 Water (recreational) (ha) 193 187 153 150 157 120 142 125 121 Water (limited access) (ha) 0 6 11 28 31 36 39 44 31

Results round 1-9

45

4

increase in natural value clusters of wet natural area and water

limited access are not connected.

minimal 14 ha wet natural area minimal 28 ha water limited access. increase weights number of clusters of

wet natural and water limited access 5

many, small and irregular patches of agricultural land

access in some cases can only by boat.

increase weight of # of clusters increase weight of compactness fix total size of agricultural area at

the level in round 4. 6

max connectedness of intensive agricultural

compactness has improved.

fix the area for intensive agriculture lower weight for costs

1 1 1 2 2 2 2 2 2 1 1 1 7 7 7 2 2 2 2 2 1 1 1 2 2 2 2 2 8 8 7 7 7 7 9 9 9 2 2 2 1 1 1 2 2 1 1 8 2 2 8 7 7 7 9 9 9 8 2 2 6 6 6 6 8 8 1 8 8 2 2 8 8 9 9 9 9 8 8 2 6 6 6 6 6 8 1 8 8 8 2 2 2 8 8 8 8 8 8 8 1 1 8 8 6 8 8 8 7 8 8 8 8 8 2 2 2 2 9 9 1 1 1 8 8 8 8 7 7 7 8 8 2 2 2 2 2 2 9 9 1 1 1 1 6 8 8 8 8 8 8 8 8 8 8 2 8 8 1 1 3 3 3 3 3 8 8 8 1 1 1 1 1 1 8 8 8 8 1 1 5 5 3 8 8 8 8 8 8 8 1 1 1 8 8 8 8 8 8 8 5 8 8 8 8 8 8 8 8 8 8 8 8 8 8 1 2 2 2 2 8 1 1 8 8 8 8 8 8 8 8 8 8 8 8 1 1 1 2 2 8 1 1 8 8 8 8 8 8 1 1 8 8 8 8 8 1 1 1 1 8 8 8 8 8 8 8 8 8 1 1 8 8 8 1 1 1 1 1 1 8 8 1 1 8 8 8 8 5 3 1 8 8 8 8 1 1 1 1 1 1 1 1 1 1 8 8 8 5 3 3 3 8 2 1 8 8 8 9 9 1 1 8 8 8 8 8 3 3 3 3 3 8 2 2 2 8 9 9 9 1 1 1 1 1 1 3 3 3 3 3 4 8 9 9 9 9 8 9 9 1 1 1 1 1 3 3 3 3 3 3 4 4 9 9 1 1 1 1 1 1 1 1 1 1 3 3 3 4 4 4 4 4 9 1 1 1 1 1 1

1 1 8 1 1 1 1 1 1 1 1 1 8 8 8 8 8 2 2 2 1 1 8 8 1 1 1 1 1 1 7 7 7 7 8 8 8 2 2 2 1 1 1 8 8 1 1 1 7 7 7 7 7 8 8 8 8 8 2 2 1 1 1 1 8 8 1 7 7 7 7 7 7 8 8 8 8 8 2 2 1 1 1 1 1 8 1 7 7 7 7 7 8 8 8 8 8 8 8 2 8 8 8 8 8 8 8 8 7 7 8 8 9 8 8 2 2 2 1 1 6 6 6 8 8 8 8 7 7 7 8 8 9 2 2 2 2 2 1 1 6 6 6 6 6 3 8 8 8 8 8 8 9 9 9 2 9 9 9 9 3 3 3 3 3 8 8 8 8 1 1 1 1 9 9 9 9 9 9 9 1 1 3 8 8 8 8 8 8 8 1 1 1 9 9 9 9 9 9 9 1 8 8 8 8 8 8 8 8 8 8 8 8 9 9 1 1 1 1 9 8 8 1 8 8 8 8 8 8 8 8 8 1 8 9 9 1 1 1 1 1 1 1 8 8 8 8 8 8 8 8 8 8 1 8 8 9 9 1 1 1 8 8 8 8 8 8 8 8 3 3 8 8 1 1 8 9 2 2 1 8 8 1 8 8 8 8 8 5 3 3 3 8 8 8 8 2 8 2 2 1 1 1 1 8 8 8 8 5 3 3 3 8 2 2 8 8 8 2 8 1 1 8 8 8 8 8 3 3 3 3 3 8 8 2 2 2 8 8 8 1 1 1 1 1 3 3 3 3 3 3 4 8 8 8 8 8 8 8 8 1 1 1 1 1 3 3 3 3 3 3 4 4 8 2 8 1 1 1 5 1 1 1 1 1 3 3 3 4 4 4 4 4 8 2 1 1 1 5 5

5 5 8 8 2 2 2 8 2 2 2 2 2 2 2 9 2 2 2 5 5 5 8 8 2 2 8 8 8 8 2 7 7 7 9 9 9 9 9 2 5 5 5 8 8 8 8 8 7 7 7 7 7 9 9 9 9 9 9 9 5 5 5 5 8 8 8 8 7 7 7 7 7 9 9 9 9 9 2 2 5 5 5 5 8 8 8 8 7 7 7 7 7 9 9 9 9 9 9 2 8 8 8 8 8 8 8 8 7 7 8 9 9 1 1 1 1 1 1 1 6 6 6 8 8 8 8 7 7 7 8 8 1 1 1 1 1 1 1 1 6 6 6 6 6 6 8 8 8 8 8 8 1 1 1 1 1 1 1 1 3 3 3 3 3 8 8 8 8 1 1 1 1 1 1 1 1 1 1 1 5 5 3 8 8 8 8 8 8 8 1 1 1 1 1 1 1 1 1 1 5 8 8 8 8 8 8 8 8 8 8 1 1 1 1 1 1 1 1 1 8 8 2 8 8 8 8 8 8 8 1 1 1 1 1 1 1 1 1 1 2 2 2 8 8 8 8 8 8 1 1 1 1 1 1 1 1 1 1 1 8 8 8 8 8 8 8 8 8 1 1 1 1 1 1 1 1 1 1 1 8 8 2 2 8 8 8 8 5 3 1 1 1 1 1 1 1 1 1 1 8 8 2 2 8 8 8 8 5 3 3 3 2 1 1 1 1 1 1 1 8 2 8 8 8 8 8 3 3 3 3 3 9 2 2 1 1 1 1 1 8 8 2 2 2 8 8 3 3 3 3 4 9 9 9 9 9 9 9 9 8 8 8 8 8 3 3 3 3 3 3 4 4 9 2 2 2 2 2 2 8 8 8 8 8 3 3 3 4 4 4 4 4 2 2 2 2 2 2 2

Interactive design of a land use plans:round 4-6

46

7

due to WFD costs of soil removal water may increase.

conversion cost of agriculture to

water are increased with €100.000.-/ha.-.

8

Characteristics of the landscape are lost.

Block changes from agriculture

land to water.

9

natural value is substantially improved

costs are acceptable spatial characteristics have are

good

planner is satisfied with the result session is ended.

1 1 1 1 1 1 1 1 1 2 2 2 2 2 2 2 2 2 2 2 1 1 1 1 1 1 1 1 1 1 1 7 7 7 9 9 9 9 2 2 1 1 1 1 1 1 1 1 1 1 1 7 7 7 9 9 9 9 9 2 1 1 1 1 1 1 1 1 1 1 1 7 7 7 9 9 9 9 9 2 1 1 1 1 1 1 1 1 1 1 7 7 7 9 9 9 9 9 9 2 1 1 1 1 1 1 1 7 7 7 7 7 9 9 9 9 9 9 1 1 1 1 1 1 8 8 8 7 7 7 7 8 9 2 2 9 9 1 1 1 1 1 1 1 6 6 8 8 8 8 8 8 9 9 9 2 2 1 1 8 3 3 3 3 3 8 8 8 8 8 8 9 9 9 8 8 8 8 8 8 5 5 3 8 8 8 8 8 8 8 9 9 9 9 8 2 8 8 8 8 5 8 8 8 8 8 8 8 8 8 8 8 8 8 2 2 2 2 2 8 8 8 8 8 8 8 8 8 8 8 8 8 2 8 8 2 2 2 2 8 8 8 8 8 8 8 8 8 8 8 8 8 8 2 8 2 2 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 2 2 2 2 8 8 8 8 2 2 8 8 8 8 5 3 8 8 8 8 8 8 2 2 8 8 8 8 2 8 8 8 8 8 5 3 3 3 8 8 8 8 8 8 8 1 8 8 8 8 8 8 8 3 3 3 3 3 8 2 2 2 8 8 1 1 8 8 8 1 1 1 8 3 3 3 3 8 8 1 1 1 1 1 1 1 2 2 8 1 1 3 3 3 3 3 3 4 4 1 1 1 1 1 1 1 2 2 2 1 1 3 3 3 4 4 4 4 4 1 1 1 1 1 1 1

1 1 1 1 1 1 1 9 9 5 5 5 9 9 9 2 2 2 2 2 1 1 1 1 1 1 1 9 9 9 7 7 7 7 9 9 2 2 9 2 1 1 1 1 1 1 1 1 9 2 7 7 7 7 9 9 9 9 9 2 1 1 1 1 1 1 1 8 2 2 7 7 7 7 9 9 9 9 9 2 1 1 1 1 1 1 1 8 7 7 7 7 7 7 9 9 9 9 2 2 1 1 1 1 1 8 8 8 7 7 7 7 7 9 8 9 9 2 2 2 6 6 6 8 8 8 8 7 7 7 7 8 8 9 8 9 2 9 2 2 6 6 6 6 6 8 8 8 8 8 8 8 8 8 8 9 9 9 2 2 3 3 3 3 3 8 8 8 2 2 8 2 2 2 8 9 1 1 2 2 8 8 3 8 8 8 8 8 8 8 2 2 2 2 8 2 1 1 9 9 8 8 8 8 8 8 8 8 8 8 8 8 8 8 2 2 8 1 9 9 8 8 8 8 8 8 8 8 8 8 8 8 8 8 2 8 2 2 9 9 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 2 2 9 9 8 8 8 8 8 8 8 8 8 8 8 8 8 8 2 2 2 1 1 1 8 8 8 2 8 8 8 8 8 3 8 8 8 8 8 8 1 1 1 1 5 2 2 2 2 8 8 8 8 3 3 3 8 1 1 1 1 1 1 1 5 2 8 8 8 8 8 3 3 3 3 3 1 1 1 1 1 1 1 1 1 1 1 1 8 8 8 3 3 3 3 1 1 1 1 1 1 1 1 1 1 1 1 1 1 3 3 3 3 3 3 4 4 1 1 1 1 1 1 1 1 1 1 1 1 3 3 3 4 4 4 4 4 1 1 1 1 1 1 1

1 1 1 1 1 1 2 2 1 1 7 7 9 9 9 5 5 5 5 5 1 1 1 1 1 1 1 2 1 1 7 7 7 7 9 9 8 5 5 5 1 1 1 1 1 1 2 2 7 7 7 7 7 9 9 8 8 8 8 8 2 2 2 2 9 2 2 2 7 7 7 7 7 9 9 9 8 8 1 1 2 2 2 2 2 9 2 9 7 7 7 7 7 8 8 8 8 8 1 1 9 9 9 9 2 9 9 9 7 7 7 8 8 2 2 2 2 2 1 1 6 6 6 9 9 9 9 7 7 7 7 8 2 2 2 5 2 2 1 1 6 6 6 6 6 6 8 8 7 7 7 8 8 8 8 5 8 8 1 1 3 3 3 3 3 8 8 8 2 2 2 1 1 1 8 8 8 5 5 5 8 8 3 8 8 8 8 8 8 8 1 1 1 8 8 5 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 5 5 5 5 1 1 8 8 1 8 8 8 8 8 8 8 8 8 1 8 8 1 1 1 1 1 1 1 1 8 8 8 8 8 8 1 1 8 1 1 1 1 1 1 1 1 2 8 8 8 8 8 8 8 8 1 1 8 8 1 1 1 1 1 1 1 2 8 2 2 8 8 8 8 8 3 3 3 8 8 8 8 1 1 1 2 2 1 1 1 2 8 8 8 8 3 3 3 8 1 1 8 8 8 8 8 2 1 1 1 8 8 8 3 3 3 3 3 8 1 1 1 1 8 2 2 9 9 1 1 1 3 3 3 3 3 3 8 8 8 1 1 1 8 8 8 9 2 1 1 1 3 3 3 3 3 3 4 4 8 1 1 1 1 1 1 9 9 9 9 1 3 3 3 4 4 4 4 4 1 1 1 1 1 1 1

Interactive design of a land use plans:round 6-9

47

A 200x200 grid representation of the Jisperveld

48

How to use this system?

• First round of policy design, scanning of alternatives

• Preparation of land use and water management plans

• Support of land use planners• Support of interactive processes

49

The future 1: Combine different types of information

2100 nat jaar ongewijzigd beheer

2100 nat jaar

2100 nat jaarwater direct afvoeren

EcotopenZeer diep waterDiep water met wplDiep water - wplMatig diep wtr + wplMatig diep wtr - wplOndiep water + wplOndiep water - wplOndiep wtr + helofytenLaag gelegen bosLaag gelegen graslandLaag gelegen kaalLaag gelegen ruigteHoog gelegen bosHoog gelegen graslandHoog gelegen kaalHoog gelegen ruigte

0 500 1000 MetersN

EcotopesVery deep waterDeep water with waterplantsDeep water without waterplantsModerately deep water with wp.Moderately deep water without wp.Shallow water with waterplantsShallow water without waterplantsShallow water with helophytesLow forestLow grasslandLow bareLow shrubHigh forestHigh grasslandHigh bareHigh shrub

EcotopesVery deep waterDeep water with waterplantsDeep water without waterplantsModerately deep water with wp.Moderately deep water without wp.Shallow water with waterplantsShallow water without waterplantsShallow water with helophytesLow forestLow grasslandLow bareLow shrubHigh forestHigh grasslandHigh bareHigh shrub

EcotopenZeer diep waterDiep water met wplDiep water - wplMatig diep wtr + wplMatig diep wtr - wplOndiep water + wplOndiep water - wplOndiep wtr + helofytenLaag gelegen bosLaag gelegen graslandLaag gelegen kaalLaag gelegen ruigteHoog gelegen bosHoog gelegen graslandHoog gelegen kaalH

ep water + wplOndiep water - wplOndiep wtr + helofytenLaag gelegen bosLaag gelegen graslandLaag gelegen kaalLaag gelegen ruigteHoog gelegen bosHoog gelegen graslandHoog gelegen kaalHoog gelegen ruigte

0 500 1000 MetersN

EcotopesVery deep waterDeep water with waterplantsDeep water without waterplantsModerately deep water with wp.Moderately deep water without wp.Shallow water with waterplantsShallow water without waterplantsShallow water with helophytesLow forestLow grasslandLow bareLow shrubHigh forestHigh grasslandHigh bareHigh shrub

EcotopesVery deep waterDeep water with waterplantsDeep water without waterplantsModerately deep water with wp.Moderately deep water without wp.Shallow water with waterplantsShallow water without waterplantsShallow water with helophytesLow forestLow grasslandLow bareLow shrubHigh forestHigh grasslandHigh bareHigh shrub

EcotopesVery deep waterDeep water with waterplantsDeep water without waterplantsModerately deep water with wp.Moderately deep water without wp.Shallow water with waterplantsShallow water without waterplantsShallow water with helophytesLow forestLow grasslandLow bareLow shrubHigh forestHigh grasslandHigh bareHigh shrub

EcotopesVery deep waterDeep water with waterplantsDeep water without waterplantsModerately deep water with wp.Moderately deep water without wp.Shallow water with waterplantsShallow water without waterplantsShallow water with helophytesLow forestLow grasslandLow bareLow shrubHigh forestHigh grasslandHigh bareHigh shrub

a. graph

b. table

c. text

d. maps

50

The future 2: Support different stages of design processes

0.

1.

2.

3.

4.

5.

6.

7.

8.

9.

10.

1. participatie

2. draagvlak

3. aanpasbaarheid

4. legitimiteit

5. efficiency

6. doelgericht

7. verantwoording

8. datagebaseerd

1.001.005.00

2.00

7.00

7.00

7.00

7.00

Consensusperspectief

Politiek perspectief

Ratioperspectief

Empirisch perspectief

0. 1. 2. 3. 4. 5. 6. 7. 8. 9.

10. 1. participatie

2. draagvlak

3. aanpasbaarheid

4. legitimiteit

5. efficiency

6. doelgericht

7. verantwoording

8. datagebaseerd 8.00

7.00

5.00

5.00 3.00 3.00

3.00

3.00

Empirisch perspectief Consensusperspectief

Politiek perspectief Ratioperspectief

51

The future 3: Integration of tools

0 .440 .30 0 .24

0 .57

0 .24 0 .21

0 .570 .41 0 .34

0 .53 0 .50 0 .46

D ynam H istor M odern

W ater quality

W ater quantity

C lim ate

B iodiversity

Socio -econom ic0 .39

0 .49 0 .44

W ater qualityW ater quantityClimateBiodiv ers itySoc io -ec onomic

W ater qualityW ater quantityClimateBiodiv ers itySoc io -ec onomic

0 .440 .30 0 .24

0 .57

0 .24 0 .21

0 .570 .41 0 .34

0 .53 0 .50 0 .46

D ynam H istor M odern

W ater quality

W ater quantity

C lim ate

B iodiversity

Socio -econom ic

W ater quality

W ater quantity

C lim ate

B iodiversity

Socio -econom ic0 .39

0 .49 0 .44

W ater qualityW ater quantityClimateBiodiv ers itySoc io -ec onomic

W ater qualityW ater quantityClimateBiodiv ers itySoc io -ec onomic