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Multiple-Objective Decision Making for Agroecosystem Management

Published online by Cambridge University Press:  15 September 2016

Tony Prato ,
Chris Fulcher ,
Shunxiang Wu  and
Jian Ma
Tony Prato
Affiliation:
Center for Agricultural, Resource and Environmental Systems, and professor of resource economics and management, Department of Agricultural Economics, University of Missouri
Chris Fulcher
Affiliation:
Center for Agricultural, Resource and Environmental Systems, Department of Agricultural Economics, University of Missouri
Shunxiang Wu
Affiliation:
Department of Agricultural Economics and Rural Sociology, University of Idaho
Jian Ma
Affiliation:
Rual Policy Research Institute, Department of Agricultural Economics, University of Missouri
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Abstract

Multiple-objective decision making (MODEM) provides an effective framework for integrated resource assessment of agroecosystems. Two elements of integrated assessment are discussed and illustrated: (1) adding noneconomic objectives as constraints in an optimization problem; and (2) evaluating tradeoffs among competing objectives using the efficiency frontier for objectives. These elements are illustrated for a crop farm and watershed in northern Missouri. An interactive, spatial decision support system (ISDSS) makes the MODEM framework accessible to unsophisticated users. A conceptual ISDSS is presented that assesses the socioeconomic, environmental, and ecological consequences of alternative management plans for reducing soil erosion and nonpoint source pollution in agroecosystems. A watershed decision support system based on the ISDSS is discussed.

Type
Articles
Information
Agricultural and Resource Economics Review , Volume 25 , Issue 2 , October 1996 , pp. 200 - 212
Copyright
Copyright © 1996 Northeastern Agricultural and Resource Economics Association 

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References

Alberts, G., Kitchen, N., and Prato, Tony. 1995. Missouri MSEA: A Farming System Water Quality Project. Research and Education Report. Columbia: University of Missouri.Google Scholar
Arnold, J.G., Williams, J.R., Srinivasan, R., King, K.W., and Griggs, R.H. 1994. SWAT (Soil and Water Assessment Tool). Reference Manual, Agricultural Research Service. Temple, Tex.: USDA.Google Scholar
Berkman, H.E., and Rabeni, C.F., 1987. “Effect of Siltation on Stream Fish Communities.” Environmental Biology of Fishes 18: 285–94.Google Scholar
Boulding, Kenneth. 1966. “The Economics of Coming Spaceship Earth.” In Environmental Quality in a Growing Economy, ed Jarrett, Henry. (Baltimore: Johns Hopkins University Press.Google Scholar
Braden, J.B., Larson, R.S., and Herricks, E.E. 1991. “Impact of Targets vs. Discharge Standards in Agricultural Pollution Management.” American Journal of Agricultural Economics 73: 388–97.Google Scholar
Clark, E.H. III, Haverkamp, J.A., and Chapman, W. 1985. Eroding Soils: The Off-Farm Impacts. Washington, D.C.: Conservation Foundation.Google Scholar
Changkong, V., and Haimes, Y.Y. 1983. Multiobjective Decision Making: Theory and Methodology. New York: Elseiver-North Holland.Google Scholar
Cohon, J.L. 1978. Multiobjective Programming and Planning. New York: Academic Press.Google Scholar
Cohon, J.L., and Marks, D.H. 1993. “Multiobjective Screening Models and Water Resources Investment.” Water Resrouces Research 9: 826–36.Google Scholar
Daly, Herman. 1991. Steady-State Economics. 2d ed. Washington, D.C.: Island Press. Google Scholar
Daly, Herman, and Cobb, John B. Jr. 1989. For the Common Good: Redirecting the Economy toward Community, the Environment, and a Sustainable Future. Boston: Beacon Press.Google Scholar
Dinh, T.L. 1989. Theory of Vector Optimization. New York: Springer-Verlag.Google Scholar
Djokic, D. 1993. “Towards General Purpose Spatial Decision Support System Using Existing Technologies.” Proceedings of the Second International Conference/Workshop on Integrating Geographic Information Systems and Environmental Modelin. Breckenridge, Colo., September 26–30.Google Scholar
Fausch, K.D., Hawkes, C.L., and Parsons, M.G. 1988. Models That Predict Standing Crop of Stream Fish from Habitat Variables: 1950-85. General Technical Report PNW-213. Washington, D.C.: U.S. Forest Service.CrossRefGoogle Scholar
Fedra, K. et al. 1993. Decision Support and Information Systems for Regional Development Planning. Laxenburg, Austria: International Institute for Applied Systems Analysis.Google Scholar
Georgescu-Roegen, Nicholas. 1971. The Entropy Law and the Economic Process. Cambridge: Harvard University Press.Google Scholar
Haimes, Y.Y., Lasdon, L., and Wismer, D. 1971. “On a Bicriteria Formulation of the Problems of Integrated Systems Identification and System Optimization.” IEEE Transactions on Systems, Man, and Cybernetics SMC-1: 296–97.Google Scholar
Haimes, Y.Y., and Hall, W.A. 1974. “Multiobjective in Water Resource Systems: The Surrogate Worth Tradeoff Method.” Water Resources Research 10: 615–24.Google Scholar
Haimes, Y.Y., and Hall, W.A. 1977. Multiobjective Analysis in the Maumee River Basin: A Case Study on Level-B Planning. Report SEDWRG-77-1. Cleveland, Ohio: Case Western University.Google Scholar
Haimes, Y.Y., Tarvainen, K., Shima, T., and Thadathil, J. 1990. Hierarchical Multiobjective Analysis of Large-Scale Systems. New York: Hemisphere Publishing Corporation.Google Scholar
Heidenreich, Lynn King, Zhou, Yan, and Prao, Tony. 1995. Economic and Environmental Assessment of Alternative Farming Systems at the Watershed Scale. Final Report to the Center for Agricultural and Rural Development, Iowa State University. Columbia: Center for Agricultural, Resource and Environmental Systems. University of Missouri.Google Scholar
Hilsenhoff, W.L. 1982. Using a Biotic Index to Evaluate Water Quality in Streams. Technical Bulletin no. 132. Jefferson City: Missouri Department of Natural Resources.Google Scholar
Joyce, L.A., Flather, C.H., Fleebe, P.A., Hoekstra, T.W., and Ursic, S.J. 1990. “Integrating Forage, Wildlife, Water, and Fish Projections with Timber Projections at the Regional Level: A Case Study in Southern United States.” Environmental Management 14: 489–500.Google Scholar
Karr, J.R., Fausch, K.D., Andermeier, P.L., Yant, P.R., and Schlosser, I.J. 1986. Assessing Biological Integrity in Running Waters: A Method and Its Rationale. Illinois Natural History Survey Special Publication 5. Champaign: State of Illinois.Google Scholar
Leng, W. 1991. “Decision Making and Expert Systems: A Comparison.” In Economics and Artificial Intelligence in Agriculture. Proceedings of the Twenty-sixth Seminar of the European Association of Agricultural Economists, ONA-PG. Centre de Grignon, France. September 10–12.Google Scholar
Loucks, D.P., and Fedra, K. 1987. “Impact of Changing Computer Technology on Hydrologic and Water Resources Modeling.” Review of Geophysics 25: 107–12.CrossRefGoogle Scholar
Ma, J.C. 1993. “Integrated Economic and Environmental Assessment of Alternative Agriculutral Systems.” Ph.D. diss., Department of Agricultural Economics, University of Missouri-Columbia.Google Scholar
Milon, J.W. 1987. “Optimal Nonpoint Source Control in Water Quality Regulation.” Water Resources Bulletin 23: 387–96.Google Scholar
Nijkamp, P., and Spronk, J. 1981. Multicriteria Analysis: Operational Methods Hampshire, England: Gower Publishing Co.Google Scholar
Prato, Tony, Xu, Feng, and Ma, J.C. 1994. “Estimation of Economic and Environmental Tradeoffs for Alternative Farming Systems.” Proceedings of the 4th Annual Water Quality Conference, 33–47. Columbia: Missouri Agricultural Experiment Station.Google Scholar
Prato, Tony, and Wu, Shunxiang. 1995. A Stochastic Programming Analysis of Economic Impacts of Improving Water Quality at the Watershed Scale . CARES Report no. 13. Columbia: University of Missouri-Columbia.Google Scholar
Rabeni, C.F. 1992. “Habitat Evaluation in a Watershed Context.” American Fisheries Society Symposium 13: 57–67.Google Scholar
Rabeni, C.F., and Smale, M.A. In press. “Effects of Siltation on Stream Fishes and Potential Mitigating Role of the Buffering Riparian Zone.” Hydrobiologia.Google Scholar
Ribaudo, M. 1989. Water Quality Benefits from the Conservation Reserve Program. Agricultural Economic Report 606. Washington, D.C.: U.S. Department of Agriculture, Economic Research Service.Google Scholar
Ryder, R.A., and Karr, S.R. 1989. “Environmental Priorities: Placing Habitat in Hierarchical Perspective.” In Proceedings of the National Workshop on Effects of Habitat Alteration on Salmonid Stocks, ed. Levings, C.D., Holtby, L.B., and Henderson, M.A., 2–12. Canadian Special Publication Fisheries and Aquatic Sciences 105.Google Scholar
Schumacher, E.F. 1973. Small is Beautiful: Economics As If People Mattered. New York: Harper and Row.Google Scholar
Shaffer, M.J., Halvorson, A.D., and Pearce, F.J. 1991. “Nitrate Leaching and Economic Analysis Package (NLEAP): Model Description and Application.” In Managing Nitrate for Groundwater Quality and Farm Profitability, ed. Follett, R.F., Kenney, D.R., and Cruse, R.M. Proceedings Symposium ASA, SSSA and CSSA. Anaheim, Calif.Google Scholar
Smale, M.A., and Rabeni, C.F. 1995. “The Role of Hypoxia and Hypothermia in Structuring Fish Communities in Headwater Streams.” Transactions of the American Fisheries Society 124: 711–25.Google Scholar
Steuer, R. 1986. Multiple Criteria Optimization: Theory, Computation and Application. New York: John Wiley and Sons.Google Scholar
Tanner, Thomas, ed. 1987. Aldo Leopold: The Man and His Legacy. Ankeny, Iowa: Soil Conservation Society of America.Google Scholar
U.S. Department of Agriculture, Soil Conservation Service. 1988. Cost and Return Estimator (CARE): User Manual . Lincoln, Neb.: Midwest National Technical Center.Google Scholar
U.S. Environmental Protection Agency (EPA). 1986. National Water Quality Inventory, 1986 Report to Congress. EPA-440/4-87-008. Washington, D.C.: Office of Water.Google Scholar
Wischmeier, W.H., and Smith, D.H. 1978. Predicting Rainfall Losses. Handbook 537. Washington, D.C.: U.S. Department of Agriculture.Google Scholar
World Resources Institute. 1992. World Resources 1992–1993. New York: Oxford University Press.Google Scholar
Wu, Shunxiang. 1994. “Economic and Water Quality Impacts of Alternative Farming Systems in Goodwater Creek Watershed: A Stochastic Programming Analysis.” Ph.D. diss., Department of Agricultural Economics, University of Missouri-Columbia.Google Scholar
Xu, Feng, and Prato, Tony. 1995. “Onsite Erosion Damages in Missouri Corn Production.” Journal of Soil and Water Conservation 50: 312–16.Google Scholar
Xu, Feng, Prato, Tony, and Ma, Jian C. 1995. “A Farm-Level Case Study of Sustainable Agricultural Production.” Journal of Soil and Water Conservation 50: 39–44.Google Scholar
Young, R.A., Onstad, C.A., Bosch, D.D., and Anderson, W.P. 1987. AGNPS, Agricultural Nonpoint Source Pollution Model, A Large Watershed Analysis Tool. Conservation Research Report 35. Washington, D.C.: USDA, Agricultural Research Service.Google Scholar