Informed multi-objective decision-making in environmental management using Pareto optimality

Journal of Applied Ecology

Volumn 45, Issue 1, 2008, Pages 181-192

  Kennedy, Maureen C ^a   Ford, E David ^a   Singleton, Peter ^b   Finney, Mark ^c   Agee, James K ^a  

^a UNIVERSITY OF WASHINGTON   (United States)

^b USFS Pacific Northwest Research Station   (United States)

^c ROCKY MOUNTAIN RESEARCH STATION   (United States)

Author keywords

Fire management; Fuels management; Multiple objectives; Non dominance; Optimization; Pareto frontier; Spatial structure

Indexed keywords

DECISION MAKING; ENDANGERED SPECIES; ENVIRONMENTAL MANAGEMENT; FIRE MANAGEMENT; FUEL; LANDSCAPE; OPTIMIZATION; SPATIAL VARIATION;

EID: 38349130460     PISSN: 00218901     EISSN: 13652664     Source Type: Journal    
DOI: 10.1111/j.1365-2664.2007.01367.x     Document Type: Article

References (38)

1. Agee, J.K. (1993) Fire Ecology of Pacific Northwest Forests. Island Press, Washington DC.
2. Agee, J.K. Skinner, C.N. (2005) Basic principles of forest fuel reduction treatments. Forest Ecology and Management, 211, 83 96.
3. Arno, S.F. Brown, J.K. (1991) Overcoming the paradox in managing wildland fire. Western Wildlands, Spring, 40 46.
4. Berry, A.H. Hesseln, H. (2004) The effect of the wildland-urban interface on prescribed burning costs in the Pacific Northwestern United States. Journal of Forestry, 102, 33 37.
5. Chen, H.W. Chang, N.-B. (1998) Water pollution control in the river basin by fuzzy genetic algorithm-based multi-objective programming modeling. Water Science and Technology, 37, 55 63.
6. Chen, C.-H., Liu, W.-L. Chen, C.-H. (2006) Development of a multi-objective planning theory and system for sustainable air quality monitoring networks. Science of the Total Environment, 354, 1 19.
7. Cirillo, R. (1979) The Economics of Vilfredo Pareto. Frank Cass Ltd, Totowa, N.J.
8. Cohon, J.L. (1978) Multi-objective programming and planning. Mathematics in Science and Engineering, Vol. 140. Academic Press Inc., London.
9. Deb, K. (2001) Multi-Objective Optimization Using Evolutionary Algorithms. John Wiley & Sons, Chichester.
10. Erickson, M., Mayer, A. Horn, J. (2002) Multi-objective optimal design of groundwater remediation systems: application of the niched Pareto genetic algorithm (NPGA). Advances in Water Resources, 25, 51 65.
11. ESRI (2004) ArcMap 9.0. Redlands, CA.
12. Falcão, A.O. Borges, J.G. (2001) Designing an evolution program for solving integer forest management scheduling models: an application in Portugal. Forest Science, 47, 158 168.
13. Finney, M.A. (2002) Fire growth using minimum travel time methods. Canadian Journal of Forest Research, 32, 1420 1424.
14. Finney, M.A. (2003) Calculation of fire spread rates across random landscapes. International Journal of Wildland Fire, 12, 167 174.
15. Finney, M.A. (2006) A computational method for optimizing fuel treatment locations. Fuels Management: How to Measure Success. Conference Proceedings 2006, 28-30 March, Portland, OR (eds P.L. Andrews B.W. Butler pp. 107 122. Proceedings RMRS-P-41. US Department of Agriculture, Forest Service, Rocky Mountain Research Station, Fort Collins, CO.
16. Finney, M.A., Seli, R.C., McHugh, C.W., Ager, A.A., Bahro, B. Agee, J.K. (2006) Simulation of long-term landscape-level fuel treatment effects on large wildfires. Fuels Management: How to Measure Success. Conference Proceedings 2006, 28-30 March, Portland, OR (eds P.L. Andrews B.W. Butler pp. 125 147. Proceedings RMRS-P-41. US Department of Agriculture, Forest Service, Rocky Mountain Research Station, Fort Collins, CO.
17. Franklin, J.F. Agee, J.K. (2003) Forging a science-based national forest fire policy. Issues in Science and Technology, 20, 59 66.
18. Higgs, G. (2006) Integrating multi-criteria techniques with geographical information systems in waste facility location to enhance public participation. Waste Management and Research, 24, 105 117.
19. Huntzinger, M. (2003) Effects of fire management practices on butterfly diversity in the forested western United States. Biological Conservation, 113, 1 12.
20. Hyde, K.M., Maier, H.R. Colby, C.B. (2005) A distance-based uncertainty analysis approach to multi-criteria decision analysis for water resources decision making. Journal of Environmental Management, 77, 278 290.
21. Kim, K.-J. Smith, R.L. (2005) Systematic procedure for designing processes with multiple environmental objectives. Environmental Science and Technology, 39, 2394 2405.
22. Komuro, R., Ford, E.D. Reynolds, J.H. (2006) The use of multi-criteria assessment in developing a process model. Ecological Modelling, 197, 320 330.
23. Lee, D.C. Irwin, L.L. (2005) Assessing risks to spotted owls for forest thinning in fire-adapted forests of the western United States. Forest Ecology and Management, 211, 191 209.
24. Lehmkuhl, J., Kennedy, M., Ford, E.D., Singleton, P.H., Gaines, W.L. Lind, R.L. (2007) Seeing the forest for the fuel: Integrating ecological values and fuels management. Forest Ecology and Management, 246, 73 80.
25. Linkov, I., Satterstrom, K., Kiker, G., Seager, T.P., Bridges, T., Gardner, K.H., Rogers, S.H., Belluck, D.A. Meyer, A. (2006) Multicriteria decision analysis: a comprehensive decision approach for management of contaminated sediments. Risk Analysis, 26, 61 78.
26. O'Laughlin, J. (2005) Policies for risk assessment in federal land and resource management decisions. Forest Ecology and Management, 211, 15 27.
27. Reynolds, J. Ford, E.D. (1999) Multi-criteria assessment of ecological process models. Ecology, 80, 538 553.
28. Rideout, D.B. Omi, P.N. (1995) Estimating the cost of fuels treatment. Forest Science, 41, 664 674.
29. Rothley, K.D., Schmitz, O.J. Cohon, J.L. (1997) Foraging to balance conflicting demands: novel insights from grasshoppers under predation risk. Behavioral Ecology, 8, 551 559.
30. Schoemaker, P.J. Waid, C.C. (1982) An experimental comparison of different approaches to determining weights in additive utility models. Management Science, 28, 182 196.
31. Scott, J.H. Burgan, R.E. (2005) Standard fire behavior fuel models: a comprehensive set for use with Rothermel's surface fire spread model. General Technical Report RMRS-GTR-153. USDA Forest Service, Rocky Mountain Research Station, Missoula, MT.
32. Seely, B., Nelson, J., Wells, R., Peter, B., Meitner, M., Anderson, A., Harshaw, H., Sheppard, S., Bunnell, F.L., Kimmins, H. Harrison, D. (2004) The application of a hierarchical, decision-support system to evaluate multi-objective forest management strategies: a case study in northeastern British Columbia, Canada. Forest Ecology and Management, 199, 283 305.
33. Statnikov, R.B. Matusov, J.B. (1995) Multicriteria Optimizaton and Engineering. Chapman & Hall, New York.
34. Stirn, L.Z. (2006) Integrating fuzzy analytic hierarchy process with dynamic programming for determining optimal forest management decisions. Ecological Modelling, 194, 296 305.
35. Turley, M.C. (2001) Investigating alternative ecological theories using multiple criteria assessment with evolutionary computation. PhD Dissertation, University of Washington, Seattle, WA.
36. Winter, G., Vogt, C.A. McCaffrey, S. (2004) Examining social trust in fuels management strategies. Journal of Forestry, 102, 8 15.
37. Wright, C.S. Agee, J.K. (2004) Fire and vegetation history in the eastern Cascade Mountains, Washington. Ecological Applications, 14, 443 459.
38. Xevi, E. Khan, S. (2005) A multi-objective optimisation approach to water management. Journal of Environmental Management, 77, 269 277.