Landscape analysis and visualisation

Contents......Page 9
Contributors......Page 21
Abbreviations......Page 31
Introduction......Page 33
1.1 Introduction......Page 34
1.2 Part 1: Natural Resource Knowledge Management Frameworks and Tools......Page 36
1.3 Part 2: Integrating the Ecology of Landscapes into Landscape Analysis and Visualisation......Page 38
1.4 Part 3: Socioeconomic Dimensions to Landscapes......Page 40
1.5 Part 4: Land Use Change and Scenario Modelling......Page 42
1.6 Part 5: Landscape Visualisation......Page 44
1.7 Future Challenges......Page 46
Part 1: Natural Resource Knowledge Management Frameworks and Tools......Page 48
2.1 Introduction......Page 49
2.2 Knowledge Hierarchy......Page 50
2.3 Timelag between Question and Answer......Page 53
2.4 Organising the Questions......Page 54
2.5 Integrating Disciplines......Page 56
2.6 Conclusion......Page 57
3.1 Context......Page 58
3.2 Some Victorian Experiences in Natural Resource Management......Page 64
3.3 Case Studies of Successful Science–Policy Influence......Page 70
3.4 Discussion......Page 73
3.5 Conclusion......Page 75
4. The Catchment Analysis Tool: Demonstrating the Benefits of Interconnected Biophysical Models......Page 78
4.1 Introduction......Page 79
4.2 Catchment Analysis Tool: Background and Description......Page 80
4.3 Case Study......Page 90
4.4 Validation and Model Improvement......Page 97
4.5 Conclusion......Page 98
5. The Application of a Simple Spatial Multi-Criteria Analysis Shell to Natural Resource Management Decision Making......Page 101
5.2 Multi-criteria Analysis......Page 102
5.3 The MCAS-S Approach......Page 107
5.4 Applications......Page 110
5.5 Future Trends......Page 117
5.6 Conclusion......Page 118
5.7 Future Research Directions......Page 119
6. Platform for Environmental Modelling Support: a Grid Cell Data Infrastructure for Modellers......Page 124
6.1 Introduction......Page 125
16.2 Background......Page 127
6.3 Methodology......Page 129
6.4 Progress and Discussions......Page 130
6.5 The PEMS Demonstrator Project......Page 132
6.6 Conclusion......Page 142
Part 2: Integrating the Ecology of Landscapes into Landscape Analysis and Visualisation......Page 145
7. Looking at Landscapes for Biodiversity: Whose View Will Do?......Page 146
7.2 To be Human is to Err......Page 147
7.3 What's Good for the Goose?......Page 149
7.4 Consider the Lilies......Page 152
7.5 Best is Bunkum......Page 153
7.6 Varied Perspectives......Page 154
7.7 Conclusion......Page 160
8. Native Vegetation Condition: Site to Regional Assessments......Page 164
8.1 Introduction......Page 165
8.2 Measuring Vegetation Condition at Sites......Page 166
8.3 Measuring Vegetation Condition across Regions......Page 167
8.4 Case Study: Vegetation Condition in the Murray Catchment, New South Wales......Page 168
8.5 Results and Discussion for the Murray Catchment Case Study......Page 174
8.6 Conclusion......Page 177
8.7 Future Research Directions......Page 178
9.1 Introduction......Page 183
9.2 What Adaptive Management is and is not......Page 185
9.3 Managing and Monitoring Native Vegetation......Page 191
9.4 Research......Page 199
9.5 Conclusion......Page 200
9.6 Future Directions......Page 201
Appendix......Page 205
10. Revegetation and the Significance of Timelags in Provision of Habitat Resources for Birds......Page 207
10.1 Introduction......Page 208
10.2 Methodology......Page 210
10.3 Case Study......Page 215
10.4 Caveats and Extensions......Page 223
Appendices......Page 228
11. The Application of Genetic Markers to Landscape Management......Page 234
11.1 Introduction......Page 235
11.2 Background......Page 238
11.3 Case Studies......Page 243
11.4 Future Trends......Page 246
11.6 Future Research Directions......Page 248
Appendix......Page 254
12. Scenario Analysis with Performance Indicators: a Case Study for Forest Linkage Restoration......Page 257
12.1 Introduction......Page 258
12.2 Background......Page 259
12.3 Linkage restoration......Page 261
12.4 Atherton Tablelands Case Study......Page 265
12.5 Conclusion......Page 269
Part 3: Socioeconomic Dimensions to Landscapes......Page 273
13. Strategic Spatial Governance: Deriving Social–Ecological Frameworks for Managing Landscapes and Regions......Page 274
13.2 A Potted History of Catchments for Resource Governance......Page 275
13.3 Defining Regions for Resource Governance......Page 277
13.4 Application of Principles to Spatial Analysis......Page 280
13.5 Conclusion: Past, Present and Future Resource Governance......Page 290
13.6 Future Directions......Page 291
14.1 Introduction......Page 297
14.2 Background......Page 298
14.3 Methodology......Page 299
14.4 A Landscape Approach for Victoria......Page 303
14.5 Case Study 1: Semi-arid Landscape......Page 305
14.6 Case Study 2: Coastal Landscape......Page 313
14.8 Conclusion......Page 319
14.9 Future Research Directions......Page 320
15.1 Introduction......Page 325
15.2 A Narrative of Rural Transformation in Australia......Page 326
15.3 From Indicators to Social Landscapes......Page 330
15.4 Five Social Landscapes......Page 335
15.5 Conclusion......Page 342
15.6 Future Research Directions......Page 343
16.1 Introduction......Page 346
16.3 An Extra Step for the SDSS Discipline......Page 348
16.4 Description of the Preference Prediction Software......Page 350
16.5 An Urban Planning Case Study Application of the Preference Prediction Software......Page 353
16.7 Conclusion......Page 366
16.8 Future Research Directions......Page 367
Part 4: Land Use Change and Scenario Modelling......Page 370
18. Uncertainty in Landscape Models: Sources, Impacts and Decision Making......Page 385
18.1 Introduction......Page 386
18.2 Models, Variability and Sources of Uncertainty......Page 387
18.3 Model Uncertainty and Decision Making......Page 395
18.4 Conclusion......Page 399
19. Assessing Water Quality Impacts of Community Defined Land Use Change Scenarios for the Douglas Shire, Far North Queensland......Page 401
19.1 Context and Case Study Location......Page 402
19.2 Dialogue over Sustainable Future Landscapes and Seascapes......Page 404
19.3 Methodology of an Application of a Social–Ecological Framework for Sustainable Landscape Planning......Page 405
19.4 Results and Discussion......Page 409
19.5 Conclusion......Page 419
20. Analysing Landscape Futures for Dryland Agricultural Areas: a Case Study in the Lower Murray Region of Southern Australia......Page 425
20.1 Introduction......Page 426
20.2 Futures Thinking and Scenario Analysis......Page 427
20.3 The Lower Murray Landscape Futures study......Page 429
20.4 Results......Page 443
20.5 Risk, Preference and Strategic Policy Adoption......Page 447
20.6 Further Research......Page 448
20.8 Conclusion......Page 449
21.1 Introduction......Page 453
21.2 The What If? Planning Support System......Page 454
21.3 Mitchell Shire Application of What If?......Page 457
21.5 Conclusion......Page 469
Part 5: Landscape Visualisation......Page 473
22.1 Introduction......Page 474
22.2 Established Options for Understanding Place......Page 476
22.3 Emerging Options......Page 477
22.4 Development Methodology......Page 478
22.5 Conclusion......Page 481
23. Geographic Landscape Visualisation in Planning Adaptation to Climate Change in Victoria, Australia......Page 485
23.1 Introduction......Page 486
23.2 Context of Visualisation and 'Sense of Place'......Page 487
23.3 Climate Change Predictions and Impacts in South-eastern Australia......Page 488
23.4 Realism behind Visualisation Technology......Page 495
23.5 Realism at the Front End......Page 496
23.6 Future Directions......Page 499
23.7 Conclusion......Page 500
24. Visualising Alternative Futures......Page 504
24.1 Introduction......Page 505
24.2 The Barwon Heads Peri-urban Development Visualisation Tool......Page 506
24.3 The Central Business District of Melbourne What the City Might Be? Prototype......Page 510
24.4 Visualising Proposed Landscapes: Sydney Rd, Brunswick......Page 518
24.6 Conclusion......Page 520
25. Virtual Globes: the Next GIS?......Page 523
25.1 Introduction......Page 524
25.2 Methodology......Page 525
25.3 Results......Page 529
25.4 Discussion......Page 537
25.5 Conclusion......Page 543
26. A Virtual Knowledge World for Natural Resource Management......Page 547
26.1 Introduction......Page 548
26.2 Virtual Worlds......Page 549
26.3 NRM Virtual Knowledge World......Page 550
26.4 Bet Bet Virtual Landscape......Page 551
26.5 Victorian Virtual NRM Knowledge Arcade......Page 558
26.6 Future Work......Page 561
26.7 Conclusion......Page 562
27. Computer Games for Interacting with a Rural Landscape......Page 565
27.1 Introduction......Page 566
27.2 Cognitive Science......Page 568
27.4 Visualisations......Page 569
27.5 Game Development......Page 572
27.6 The Bushfire Rescue Game......Page 579
27.7 Conclusion......Page 582
28. Automated Generation of Enhanced Virtual Environments for Collaborative Decision Making Via a Live Link to GIS......Page 585
28.1 Introduction......Page 586
28.2 Background......Page 588
28.3 Methodology......Page 590
28.4 Case Study and Discussion......Page 594
28.5 Conclusion and Outlook......Page 601
29. Land Use Decision Making in a Virtual Environment......Page 604
29.1 Introduction......Page 605
29.2 Rational Decision Making......Page 606
29.3 Methodology......Page 607
29.4 Environmental and Economic Efficiency: Results and Discussion......Page 613
29.5 Conclusion......Page 619
D......Page 622
I......Page 623
N......Page 624
S......Page 625
V......Page 626
Z......Page 627