Future research challenges for incorporation of uncertainty in environmental and ecological decision-making

Ecological Modelling

Volumn 219, Issue 3-4, 2008, Pages 383-399

  Ascough II, J C ^a   Maier, H R ^b   Ravalico, J K ^b   Strudley, M W ^c  

^a AGRICULTURAL RESEARCH SERVICE   (United States)

^b UNIVERSITY OF ADELAIDE   (Australia)

^c Balance Hydrologics Inc   (United States)

Author keywords

Ecological decision making; Environmental decision making; Integrated frameworks; Multicriteria decision analysis; Simulation modeling; Uncertainty analysis

Indexed keywords

CONCRETE PAVEMENTS; DECISION MAKING; DECISION SUPPORT SYSTEMS; DECISION THEORY; ENVIRONMENTAL MANAGEMENT; OPTIMIZATION; PLANNING; PROBABILITY; PROBLEM SOLVING; RISK PERCEPTION; STRATEGIC PLANNING;

ECOLOGICAL DECISION-MAKING; ENVIRONMENTAL DECISION-MAKING; INTEGRATED FRAMEWORKS; MULTICRITERIA DECISION ANALYSIS; SIMULATION MODELING;

UNCERTAINTY ANALYSIS;

DECISION MAKING; DECISION SUPPORT SYSTEM; ECOSYSTEM MODELING; ENVIRONMENTAL ASSESSMENT; PERFORMANCE ASSESSMENT; STAKEHOLDER; UNCERTAINTY ANALYSIS;

EID: 55249098600     PISSN: 03043800     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ecolmodel.2008.07.015     Document Type: Review

References (129)

1. Anderies J.M. On modeling human behavior and institutions in simple ecological economic systems. Ecological Economics 35 (2000) 393-412
2. Babayan A., Kapelan Z., Savic D., and Walter G. Least-cost design of water distribution networks under demand uncertainty. Journal of Water Resources Planning and Management 131 (2005) 375-382
3. Batabyal A.A. On some aspects of ecological resilience and the conservation of species. Journal of Environmental Management 52 4 (1998) 373-378
4. Barron H., and Schmidt P. Sensitivity analysis of additive multiattribute value models. Operations Research 36 1 (1988) 122-127
5. Beck M.B. Water quality modelling: a review of the analysis of uncertainty. Water Resources Research 23 8 (1987) 1393-1442
6. Bedford T., and Cooke R.M. Probabilistic Risk Analysis: Foundations and Methods (2001), Cambridge University Press, Cambridge 414 pp
7. Benda L.E., Poff N.L., Tague C., Palmer M.A., Pizzuto J., Cooper S., Stanley E., and Moglen G. How to avoid train wrecks when using science in environmental problem solving. Bioscience 52 12 (2002) 1127-1136
8. Bevington P.R., and Robinson D.K. Data Reduction and Error Analysis for the Physical Sciences (2002), McGraw-Hill, Inc., New York, NY 336 pp
9. Blanning R.W. The construction and implementation of metamodels. Simulation 24 6 (1975) 177-184
10. Boardman A.E., Greenberg D.H., Vining A., and Weimer D. Cost-Benefit Analysis: Concepts and Practice (2005), Prentice Hall Publishers, Upper Saddle River, NJ 576 pp
11. Borsuk M.E., Stow C.A., and Reckhow K.H. A Bayesian network of eutrophication models for synthesis, prediction, and uncertainty analysis. Ecological Modelling 173 (2004) 219-239
12. Bossel H. Policy assessment and simulation of actor orientation for sustainable development. Ecological Economics 35 (2000) 337-355
13. Bousquet F., and LePage C. Multi-agent simulations and ecosystem management: a review. Ecological Modelling 176 3-4 (2004) 313-332
14. Brans J.P., Vincke P., and Mareschal B. How to select and how to rank projects: the PROMETHEE method. European Journal of Operational Research 24 (1986) 228-238
15. Broad D.R., Dandy G.C., and Maier H.R. Water distribution system optimization using metamodels. Journal of Water Resources Planning and Management, ASCE 131 3 (2005) 172-180
16. Broad D.R., Maier H.R., Dandy G.C., and Nixon J.B. Estimating risk measures for water distribution systems using metamodels. World Water & Environmental Resource Congress. ASCE, Anchorage, Alaska, USA, May 15-19 (2005)
17. ® to develop Bayesian networks as an aid to integrated water resource planning. Environmental Modelling & Software 20 (2005) 231-242
18. Burges S.J., and Lettenmaier D.P. Probabilistic methods in stream quality management. Water Resources Bulletin 11 1 (1975) 115-130
19. Butler J., Jia J., and Dyer J. Simulation techniques for the sensitivity analysis of multicriteria decision models. European Journal of Operational Research 103 3 (1997) 531-546
20. Chadderton R.A., Miller A.C., and McDonnell A.J. Uncertainty analysis of dissolved oxygen model. Journal of the Environmental Engineering Division 108 EE5 (1982) 1003-1013
21. Choi H.T., and Beven K. Multi-period and multi-criteria model conditioning to reduce prediction uncertainty in an application of TOPMODEL within the GLUE framework. Journal of Hydrology 332 (2007) 316-336
22. Cieniawski S.E., Eheart J.W., and Ranjithan S. Using genetic algorithms to solve a multiobjective groundwater monitoring problem. Water Resources Research 31 2 (1995) 399-409
23. Ciu L.J., and Kuczera G. Optimizing water supply headworks operating rules under stochastic inputs: assessment of genetic algorithm performance. Water Resources Research 41 (2005) W05016 10.1029/2004WR003517
24. Cornelissen A.M.G., van den Berg J., Koops W.J., Grossman M., and Udo H.M.J. Assessment of the contribution of sustainability indicators to sustainable development: a novel approach using fuzzy set theory. Agriculture, Ecosystems and Environment 86 (2001) 173-185
25. Cowie G.M., and Borrett S.R. Institutional perspectives on participation and information in water management. Environmental Modelling & Software 20 4 (2005) 469-483
26. Crome F.J.H., Thomas M.R., and Moore L.A. A novel Bayesian approach to assessing impacts of rain forest logging. Ecological Applications 6 (1996) 1104-1123
27. Crump E.L., Jacobs T.L., and Vesilind P.A. Fuzzy-set approach for optimizing sludge application land selection. Journal of Urban Planning and Development 119 (1993) 53-71
28. Curtis A., Byron I., and Mackay J. Integrating socio-economic and biophysical data to underpin collaborative watershed management. Journal of the American Water Resources Association 41 3 (2005) 549-563
29. David L., and Duckstein L. Multi-criterion ranking of alternative long-range water resources systems. Water Resources Bulletin 12 (1976) 731-754
30. De Marchi B., Funtowicz S.O., and Ravetz J. The Management of Uncertainty in the Communication of Major Hazards (1993), Joint Research Centre, Ispra, Italy
31. Deb A., Pratap A., Agarwal S., and Meyarivan T. A fast and elitist multiobjective genetic algorithm: NSGA-II. IEEE Transactions on Evolutionary Computation 6 2 (2002) 182-197
32. Dennis B. Discussion: should ecologists become Bayesians?. Ecological Applications 6 (1996) 1095-1103
33. Dietz T. What is a good decision? Criteria for environmental decision making. Human Ecology Review 10 1 (2003) 33-39
34. Dietz T., Frey R.S., and Rosa E.A. Risk assessment and management. In: Frey R.S. (Ed). The Environment and Society Reader (2001), Allyn & Bacon, New York, NY 272-299
35. Dorsey D., and Coovert M. Mathematical modeling of decision making: a soft and fuzzy approach to capturing hard decisions. Human Factors 45 (2003) 117-135
36. Dou C., Woldt W., and Bogardi I. Fuzzy rule-based approach to describe solute transport in the unsaturated zone. Journal of Hydrology 220 1-2 (1999) 74-85
37. Ducey M.J., and Larson B.C. A fuzzy set approach to the problem of sustainability. Forest Ecology and Management 115 (1999) 29-40
38. Efron B. Controversies in the foundations of statistics. American Mathematical Monthly 85 (1978) 231-246
39. Eheart J.W., and Ng T.L. Role of effluent permit trading in total maximum daily load programs: overview and uncertainty and reliability implications. Journal of Environmental Engineering 130 6 (2004) 615-621
40. Elith J., Burgman M.A., and Regan H.M. Mapping epistemic uncertainties and vague concepts in predictions of species distribution. Ecological Modelling 157 (2002) 313-329
41. Ellison A.M. An introduction to Bayesian inference for ecological research and environmental decision-making. Ecological Applications 6 4 (1996) 1036-1046
42. Enea M., and Salemi G. Fuzzy approach to the environmental impact evaluation. Ecological Modelling 135 (2001) 131-147
43. Fiering M.B. Alternative indices of resilience. Water Resources Research 18 1 (1982) 33-39
44. Finkel, A.M., 1990. Confronting Uncertainty in Risk Management: A Guide for Decision-makers. Resources for the Future. Washington, DC, 88 pp.
45. Fisher B. Fuzzy environmental decision-making: applications to air pollution. Atmospheric Environment 37 (2003) 1865-1877
46. Fisher B. Fuzzy approaches to environmental decisions: application to quality. Environmental Science & Policy 9 (2006) 22-31
47. Florsheim J.L., and Mount J.F. Restoration of floodplain topography by sand-splay complex formation in response to intentional levee breaches, Lower Cosumnes River, California. Geomorphology 44 (2002) 67-94
48. Frederick S., and Peterman R. Choosing fisheries harvest policies: when does uncertainty matter?. Canadian Journal of Fisheries and Aquatic Sciences 52 (1995) 291-306
49. Funtowicz S.O., and Ravetz J.R. Uncertainty and Quality in Science for Policy (1990), Kluwer, Dordrecht 229 pp
50. Gunderson L.H., and Holling C.S. Theories for Sustainable Futures (2000), Island Press, Washington, DC
51. Haff P.K. Limitations on predictive modeling in geomorphology. In: Rhoads B.L., and Thorn C.E. (Eds). The Scientific Nature of Geomorphology. Proceedings of the 27th Binghampton Symposium in Geomorphology (1996), John Wiley & Sons
52. Harremoës P., and Madsen H. Fiction and reality in the modelling world-balance between simplicity and complexity, calibration and identifiability, verification and falsification. Water Science and Technology 39 9 (1999) 1-8
53. Harwood J., and Stokes K. Coping with uncertainty in ecological advice: lessons from fisheries. Trends in Ecology and Evolution 18 (2003) 617-622
54. Hashimoto T., Stedinger J.R., and Loucks D.P. Reliability, resiliency, and vulnerability criteria for water resource system performance evaluation. Water Resources Research 18 1 (1982) 14-20
55. Helton J.C., and Davis F.J. Latin hypercube sampling and the propagation of uncertainty in analyses of complex systems. Reliability Engineering and System Safety 81 1 (2003) 23-69
56. Hofstetter P. Perspectives in Life Cycle Impact Assessment: A Structured Approach to Combine Models of the Technosphere, Ecosphere and Valuesphere (1998), Kluwer Academic Publishers, Dordrecht 504 pp
57. Holling C.S. Adaptive Environmental Assessment and Management (1978), John Wiley and Sons, Ltd. 398 pp
58. Holling C.S. Engineering resilience versus ecological resilience. In: Schulze P.C. (Ed). Engineering Within Ecological Constraints (1996), National Academy Press, Washington, DC 31-43
59. Huijbregts M.A.J., Norris G., Bretz R., Ciroth A., Maurice B., von Bahr B., Weidema B., and de Beaufort A.S.H. Framework for modelling data uncertainty in life cycle inventories. International Journal of Life Cycle Assessment 6 3 (2001) 127-132
60. Hyde K.M., Maier H.R., and Colby C.B. Incorporating uncertainty in the PROMETHEE MCDA method. Journal of Multi Criteria Decision Analysis 12 4-5 (2003) 245-259
61. Hyde K.M., Maier H.R., and Colby C.B. Reliability-based approach to multicriteria decision analysis for water resources. Journal of Water Resources Planning and Management, ASCE 130 6 (2004) 429-438
62. Jaeger C., Renn O., Rosa E.A., and Webler T. Risk, Uncertainty and Rational Action (2001), Earthscan Publications Ltd., London 320 pp
63. Jakeman A.J., and Letcher R.A. Integrated assessment and modeling: features, principles and examples for catchment management. Environmental Modelling & Software 18 6 (2003) 491-501
64. Jakeman A.J., Norton J.P., Letcher R.A., and Maier H.R. Integrated modeling for managing catchments. In: Giupponi C., Jakeman A., and Kassenberg D. (Eds). Sustainable Management of Water Resources: An Integrated Approach (2006), Edward Elgar Publishing, Cheltenham, UK
65. Janssen M.A., Walker B.H., Langridge J., and Abel N. An adaptive agent model for analyzing co-evolution of management and policies in a complex rangeland system. Ecological Modelling 131 2-3 (2000) 249-268
66. Janssen R. Multiobjective Decision Support for Environmental Management (1996), Kluwer Academic Publishers, Netherlands
67. Kann A., and Weyant J.P. Approaches for performing uncertainty analysis in large-scale energy/economic policy models. Environmental Modeling & Assessment 5 (2000) 29-46
68. Kingston G.B., Lambert M.F., and Maier H.R. Bayesian parameter estimation applied to artificial neural networks used for hydrological modelling. Water Resources Research 41 (2005) W12409 10.1029/2005WR004152
69. Kohonen T. Self-organized formation of topologically correct feature maps. Biological Cybernetics 43 (1982) 59-69
70. Kraslawski A., Koiranen T., and Nystrom L. Concurrent engineering: robust design in fuzzy environment. Computers and Chemical Engineering 17 Suppl. (1993) 447-452
71. Kuikka S., Hilden M., Gislason H., Hansson S., Sparholt H., and Varis O. Modeling environmentally driven uncertainties in Baltic cod (Gadus morhua) management by Bayesian influence diagrams. Canadian Journal of Fisheries and Aquatic Sciences 56 (1999) 629-641
72. Lee K.S., and Kim S.U. Identification of uncertainty in low flow frequency analysis using Bayesian MCMC method. Journal of Hydrological Processes (2007) 10.1002/hyp.6778
73. Lee Y.W., Dahab M.F., and Bogardi I. Fuzzy decision making in ground water nitrate risk management. Water Resources Bulletin 30 1 (1994) 135-148
74. Labiosa W., Leckie J., Shachter R., Freyberg D., and Rytuba J. Incorporating uncertainty in watershed management decision-making: a mercury TMDL case study. ASCE Watershed Management Conference, Managing Watersheds for Human and Natural Impacts: Engineering, Ecological, and Economic Challenges. Williamsburg, VA, July 19-22 (2005) 10.1061/40763(178)125
75. Lamon E.C., and Stow C.A. Bayesian methods for regional scale eutrophication models. Water Research 38 (2004) 2764-2774
76. Lampinen J., and Vehtari A. Bayesian approach for neural networks-review and case studies. Neural Networks 14 3 (2001) 7-24
77. Lempert R.J., Groves D.G., Popper S.W., and Bankes S.C. A general, analytic method for generating robust strategies and narrative scenarios. Management Science 52 4 (2006) 514-528
78. MacFarlane D.W., Green E.J., and Valentine H.T. Incorporating uncertainty into the parameters of a forest process model. Ecological Modelling 134 (2000) 27-40
79. Maguire L.A., and Boiney L.G. Resolving environmental disputes-a framework incorporating decision analysis and dispute resolution techniques. Journal of Environmental Management 42 1 (1994) 31-48
80. Maier H.R., Lence B.J., Tolson B.A., and Foschi R.O. First-order reliability method for estimating reliability, vulnerability and resilience. Water Resources Research 37 3 (2001) 779-790
81. Maier H.R., Lence B.J., and Tolson B.A. The role of reliability, vulnerability and resilience in the management of water quality systems. Proceedings of the 27th Hydrology and Water Resources Symposium. The Institution of Engineers, Australia, Melbourne, May 20-23 (2002) (Proceedings on CD-ROM)
82. Maier H.R., Ascough II J.C., Wattenbach M., Renschler C.S., Labiosa W.B., and Ravalico J.K. Chap. 5: Uncertainty in environmental decision making: Issues, challenges, and future directions. In: Jakeman A.J., Voinov A.E., Rizzoli A.E., and Chen S. (Eds). Environmental Modelling and Software and Decision Support - Developments in Integrated Environmental Assessment (DIEA) vol. 3 (2008), Elsevier, The Netherlands 69-85
83. McAllister M., and Kirchner C. Accounting for structural uncertainty to facilitate precautionary fishery management: illustration with Namibian orange roughy. Bulletin of Marine Science 70 (2002) 499-540
84. McKay M.D., Beckman R.J., and Conover W.J. A comparison of three methods for selecting values of input variables in the analysis of output from a computer code. Technometrics 21 2 (1979) 239-245
85. McNamara D.E., and Werner B.T. Emergent behavior of coupled barrier island-resort systems. Eos Transactions AGU 85 47 (2004) (Fall Meet. Suppl., Abstract H33I-04)
86. McNamara D.E., and Werner B.T. New Orleans after Hurricane Katrina: an unnatural disaster?. Eos Transactions AGU 86 52 (2005) (Fall Meet. Suppl., Abstract H42C-01)
87. McPhee J., and Yeh W.W.G. Multiobjective optimization for sustainable groundwater management in semiarid regions. Journal of Water Resources Planning and Management 130 6 (2004) 490-497
88. Morgan M.G., and Henrion M. Uncertainty: A Guide to Dealing With Uncertainty in Quantitative Risk and Policy Analysis (1990), Cambridge University Press, Cambridge 344 pp
89. Morris M.D. Factorial sampling plans for preliminary computational experiments. Technometrics 33 2 (1991) 161-174
90. Mostashari A., and Sussman J. Stakeholder-assisted modelling and policy design process for environmental decision-making. Journal of Environmental Assessment Policy and Management 7 3 (2005) 355-386
91. National Research Council (NRC). Science and Judgment in Risk Assessment (1994), National Academy Press, Washington, DC
92. Norton J.P., Chiew F.H.S., Dandy G.C., and Maier H.R. A parameter-bounding approach to sensitivity assessment of large simulation models. In: Zerger A., and Argent R.M. (Eds). MODSIM 2005 International Congress on Modeling and Simulation. Modeling and Simulation Society of Australia and New Zealand, December (2005). 0-9758400-2-9 2519-2525
93. Norton J.P., Brown J.D., and Mysiak J. To what extent, and how, might uncertainty be defined? Comments engendered by "Defining uncertainty: a conceptual basis for uncertainty management in model-based decision support": Walker et al., Integrated Assessment 4:1, 2003. Integrated Assessment 6 1 (2006) 83-88
94. Pahl-Wostl C. Information, public empowerment, and the management of urban watersheds. Environmental Modelling & Software 20 4 (2005) 457-467
95. Pallottino S., Secchi G.M., and Zuddas P. A DSS for water resources management under uncertainty by scenario analysis. Environmental Modelling & Software 20 8 (2005) 1031-1042
96. Peterson G. Political ecology and ecological resilience: an integration of human and ecological dynamics. Ecological Economics 35 (2000) 323-336
97. Prato T. Multiple attribute evaluation of landscape management. Journal of Environmental Management 60 (2000) 325-337
98. Prato T. Bayesian adaptive management of ecosystems. Ecological Modelling 183 2-3 (2005) 147-156
99. Rauscher H.M. Ecosystem management decision support for federal forests in the United States: a review. Forest Ecology and Management 114 (1999) 173-197
100. Regan H.M., and Colyvan M. Fuzzy sets and threatened species classification. Conservation Biology 14 4 (2000) 1197-1199
101. Regan H.M., Colyvan M., and Burgman M.A. A taxonomy and treatment of uncertainty for ecology and conservation biology. Ecological Applications 12 2 (2002) 618-628
102. Reckhow K.H. Bayesian inference in non-replicated ecological studies. Ecology 71 (1990) 2053-2059
103. Reckhow K.H. A decision analytic framework for environmental analysis and simulation modeling. Environmental Toxicology and Chemistry 13 12 (1994) 1901-1906
104. Refsgaard, J.C., van der Sluijs, J.P., Højberg, A.L., Vanrolleghem, P., 2005. Harmoni-CA Guidance: Uncertainty Analysis (http://www.harmoni-ca.info/toolbox/docs/Harmoni-ca_ Guidance_1_ Uncertainty_Analysis.pdf).
105. Refsgaard J.C., van der Sluijs J.P., Brown J., and van der Keur P. A framework for dealing with uncertainty due to model structure error. Advances in Water Resources 29 11 (2006) 1586-1597
106. Reichert P., and Borsuk M.E. Does high forecast uncertainty preclude effective decision support?. Environmental Modelling & Software 20 8 (2005) 991-1001
107. In: Renn O., Webler T., and Wiedemann P. (Eds). Fairness and Competence in Citizen Participation: Evaluating Models for Environmental Discourse (1995), Kluwer Academic Publishers, Dordrecht 408 pp
108. Renschler C.S. Spatial and temporal model validation: representing landscape properties and processes across scales. In: Voinov A., Jakeman A., and Rizzoli A. (Eds). Proceedings of the iEMSs Third Biennial Meeting: Summit on Environmental Modeling and Software. iEMSs, Burlington, VT, USA, July (2006). http://www.iemss.org/iemss2006/sessions/all.html
109. Rios Insua D. Sensitivity Analysis in Multi-objective Decision Making (1990), Springer-Verlag, Berlin 193 pp
110. Rose K.A., and Cowan J.H. Data, models, and decisions in US marine fisheries management: lessons for ecologists. Reviews for Ecology, Evolution and Systematics 34 (2003) 127-151
111. Roy B. The outranking approach and the foundations of Electre methods. Theory and Decision 31 (1991) 49-73
112. Roy B., and Vincke P. Multicriteria analysis: survey and new directions. European Journal of Operational Research 8 3 (1981) 207-218
113. Saaty T.L. A scaling method for priorities in hierarchical structures. Journal of Mathematical Psychology 15 (1977) 234-281
114. Salski A. Fuzzy knowledge-based models in ecological research. Ecological Modelling 63 (1992) 103-112
115. Saltelli A., Tarantola S., and Chan K.P.S. A quantitative model-independent method for global sensitivity analysis of model output. Technometrics 41 1 (1999) 39-56
116. Shie-Yui L., Al-Fayyaz T.A., and Sai L.K. Application of evolutionary algorithms in reservoir operations. Journal of the Institution of Engineers, Singapore 44 1 (2004) 39-54
117. Tesfamariam S., and Sadiq R. Risk-based environmental decision-making using fuzzy analytic hierarchy process (F-AHP). Journal of Stochastic Environmental Research and Risk Assessment 21 (2006) 35-50
118. United States Environmental Protection Agency (US-EPA), 1997. Exposure Factors Handbook. National Center for Environmental Assessment, EPA Office of Research and Development, Washington, DC, 36 pp.
119. van der Sluis, J.P., 1997. Anchoring amid uncertainty: on the management of uncertainties in risk assessment of anthropogenic climate change. Ph.D. Dissertation. University of Utrecht, Netherlands, 260 pp.
120. van der Sluijs, J.P., Janssen, P.H.M., Petersen, A.C., Kloprogge, P., Risbey, J.S., Tuinstra, W., Ravetz, J.R., 2004. RIVM/MNP Guidance for Uncertainty Assessment and Communication: Tool Catalogue for Uncertainty Assessment. Report NWS-E-2004-37. Copernicus Institute & RIVM, Utrecht/Bilthoven, The Netherlands, 60 pp.
121. van der Sluijs J.P., Craye M., Funtowicz S., Kloprogge P., Ravetz J.R., and Risbey J.S. Combining quantitative and qualitative measures of uncertainty in model based environmental assessment: the NUSAP system. Risk Analysis 25 2 (2005) 481-492
122. Varis O., and Kuikka S. Learning Bayesian decision analysis by doing: lessons from environmental and natural resources management. Ecological Modelling 119 (1999) 177-195
123. Vasquez J.A., Maier H.R., Lence B.J., Tolson B.A., and Foschi R.O. Achieving water quality system reliability using genetic algorithms. Journal of Environmental Engineering, ASCE 126 10 (2000) 954-962
124. Wade P.R. Bayesian methods in conservation biology. Conservation Biology 14 5 (2000) 1308-1316
125. Walker B., Carpenter S., Anderies J., Abel N., Cumming G., Janssen M., Lebel L., Norberg J., Peterson G.D., and Pritchard R. Resilience management in social-ecological systems: a working hypothesis for a participatory approach. Conservation Ecology 6 1 (2002) (Art. 14)
126. Walker W.E., Harremoës P., Rotmans J., van der Sluijs J.P., van Asselt M.B.A., Janssen P., and Krayer von Krauss M.P. Defining uncertainty a conceptual basis for uncertainty management in model-based decision support. Integrated Assessment 4 1 (2003) 5-17
127. Wattenbach M., Gottschalk P., Hattermann F., Rachimow C., Flechsig M., and Smith P. A framework for assessing uncertainty in ecosystem models. In: Voinov A., Jakeman A., and Rizzoli A. (Eds). Proceedings of the iEMSs Third Biennial Meeting: Summit on Environmental Modeling and Software. iEMSs, Burlington, VT, USA, July (2006). http://www.iemss.org/iemss2006/sessions/all.html
128. Werner B.T., McNamara D.E., Kelso A., and Ipiktok T. Emergent urban-landscape interactions in mountain catchments. Eos Transactions AGU 85 47 (2004) (Fall Meet. Suppl., Abstract U52A-08)
129. Wolfson L.J., Kadane J.B., and Small M.J. Bayesian environmental policy decisions: two case studies. Ecological Applications 6 (1996) 1056-1066