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Calibration of Large Spatial Models: A Multistage, Multiobjective Optimization Technique

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Landscape Simulation Modeling

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References

  • Band, L.E., D.L. Peterson, S.W. Running, J. Coughlan, R. Lammers, J. Dungan, and R. Nemani. 1991. Forest ecosystem processes at the watershed scale: basis for distributed simulations. Ecological Modelling 56:171–196.

    Article  Google Scholar 

  • Beven, K.J. 1993. Prophecy, reality and uncertainty in distributed hydrological modelling. Advances in Water Resources 16:41–51.

    Article  Google Scholar 

  • Beven, K.J. and A.M. Binkley. 1992. The future of distributed models: model calibration and predictive uncertainty. Hydrology Proceedings 6:279–298.

    Google Scholar 

  • Binley, A.M., K.J. Beven, A. Calver, and L.G. Watts. 1991. Changing responses in hydrology: Assessing the uncertainty in physically-based predictions. Water Resources Research 27:1253–1261.

    Article  Google Scholar 

  • Bockstael, N., R. Costanza, I. Strand, W. Boynton, K. Bell, and L. Wainger. 1995. Ecological economic modeling and valuation of ecosystem. Ecological Economics 14:143–159.

    Article  Google Scholar 

  • Brent, R.P. 1973. Algorithms for Minimization Without Derivatives. Prentice-Hall, Englewood Cliffs, NJ.

    Google Scholar 

  • Burke, I.C., W.K. Lauenroth, and W.J. Parton. 1997. Regional and temporal variation in net primary productivity and nitrogen mineralization in grasslands. Ecology 78: 1330–1340.

    Article  Google Scholar 

  • CERP Team. 2001. RECOVER (REstoration Coordination & VERification). Available from www.evergladesplan.org, accessed on January 1, 2002.

    Google Scholar 

  • Costanza, R., F.H. Sklar, and M.L. White. 1990. Modelling coastal landscape dynamics. BioScience 40:91–107.

    Article  Google Scholar 

  • Costanza, R., S.O. Funtowicz, and J.R. Ravetz. 1992. Assessing and communicating data quality in policy relevant research. Environmental Management 16:121–131.

    Article  Google Scholar 

  • Dent, J.B. and M.J. Blackie. 1979. System Simulation in Agriculture. Applied Science Publishers, London.

    Google Scholar 

  • Dixon, P.M. and K.A. Garrett. 1993. Sampling ecological information: choice of sample size, reconsidered. Ecological Modelling 68:67–73.

    Article  Google Scholar 

  • Fitz, H.C., and F.H. Sklar. 1999. Ecosystem analysis of phosphorus impacts and altered hydrology in the Everglades: A landscape modeling approach, in Phosphorus Biogeo-chemistry in Subtropical Ecosystems. (Reddy, K.R., G.A. O’Connor, and C.L. Schelske, eds.). Lewis Publishers, Boca Raton, FL, pp. 585–620.

    Google Scholar 

  • Fitz, H.C., E. DeBellevue, R. Costanza, R. Boumans, T. Maxwell, L. Wainger, and F. Sklar. 1996. Development of a general ecosystem model (GEM) for a range of scales and ecosystems. Ecological Modelling 88:263–295.

    Article  CAS  Google Scholar 

  • Forrest, S. 1993. Genetic algorithms: principles of natural selection applied to computation. Science 261:872–878.

    PubMed  CAS  Google Scholar 

  • Gardner, R.H., D.D. Huff, R.V. O’Neill, J.B. Mankin, J. Carney, and J. Jones. 1980. Application of error analysis to a marsh hydrology model. Water Resources Research 16:659–664.

    Google Scholar 

  • Haefner, J.W. 1996. Modelling Biological Systems: Principles and Applications. Chapman & Hall, New York.

    Google Scholar 

  • Houck, C.R., J.A. Joines, and M.G. Kay, 1996. Comparison of genetic algorithms, random restart and two-opt switching for solving large location-allocation problems. Computers and Operations Research 23:587–596.

    Article  Google Scholar 

  • HPS. 1995. STELLA User’s Manual. High Performance Systems. Hanover, NH.

    Google Scholar 

  • HSM. 1999. A Primer to the South Florida Water Management Model (Version 3.5). Hydrologic Systems Modeling Division, South Florida Water Management District, West Palm Beach.

    Google Scholar 

  • Kuczera, G. 1990. Assessing hydrologic model nonlinearity using response surface plots. Journal of Hydrology 118:143–161.

    Article  Google Scholar 

  • Mankin, J.B., R.V. O’Neill, H.H. Shugart, and B.W. Rust. 1977. The importance of validation in ecosystem analysis, in New Directions in the Analysis of Ecological Systems. Part 1. Simulation Councils Proceeding Series. Vol. 5 (Innis, G.S., ed.). pp. 63–71.

    Google Scholar 

  • Maxwell, T. and R. Costanza 1997. An open geographic modelling environment. Simulation 68(3): 175–185.

    Google Scholar 

  • Melching, C.S., B.C. Yen, and H.G. Wenzel, Jr. 1990. Reliability estimation in modelling watershed runoff with uncertainties. Water Resources Research 26:2275–2280.

    Article  Google Scholar 

  • Melillo, J.M., A.D. McGuire, D.W. Kicklighter, B. Moore III, C.J. Vorosmarty, and A.L. Schloss. 1993. Global climate change and terrestrial net primary production. Nature 363:234–240.

    Article  CAS  Google Scholar 

  • Michalewicz, Z. 1996. Genetic Algorithms + Data Structures = Evolution Programs. Springer-Verlag, New York.

    Google Scholar 

  • Oreskes, N., K. Shrader-Frechette, and K Beliz. 1994. Verification, validation and confirmation of numerical models in the earth sciences. Science 263:641–646.

    PubMed  CAS  Google Scholar 

  • Nelder, J.A. and R. Mead. 1965. A simplex method for function minimization. Computation Journal 7:308–313.

    Google Scholar 

  • Parton, W.J. and P.E. Rasmussen. 1994. Long-term effects of crop management in wheat-fallow: II. CENTURY model simulations. Soil Science Society of America Journal 58:530–536.

    Article  Google Scholar 

  • Press, W.H., B.P. Flannery, S.A. Teukolsky, and W.T. Vetterling, 1988. Numerical Recipes in C. Cambridge University Press, Cambridge.

    Google Scholar 

  • Raich, J.W., E.B. Rastetter, and J.M. Melillo. 1991. Potential net primary productivity in South America: Application of a global model. Ecological Applications 4:399–429.

    Article  Google Scholar 

  • Rice, J.A. and P.A. Cochran. 1984. Independent evaluation of a bioenergetics model for largemouth bass. Ecology 65:732–739.

    Article  Google Scholar 

  • Romesburg, H.C. 1981. Wildlife science: Gaining reliable knowledge. Journal of Wildlife Management 45(2):293–313.

    Google Scholar 

  • Rykiel, E.J. 1996. Testing ecological models: The meaning of validation. Ecological Modelling 90:229–244.

    Article  Google Scholar 

  • Scheaffer, R.L., W. Mendenhall, and L. Ott. 1986. Elementary Survey Sampling. PWS-Kent, Boston, MA.

    Google Scholar 

  • Sklar, F. H., and R. Costanza. 1991. The development of dynamic spatial models for landscape ecology: A review and prognosis, in Quantitative Methods in Landscape Ecology (Turner, M. G. and R. Gardner, eds.). Springer-Verlag, New York.

    Google Scholar 

  • Sorooshian, S. V.K. Gupta, and J.L. Fulton. 1983. Evaluation of maximum likelihood parameter estimation techniques for conceptual rainfall-runoff models: Influence of calibration data variability and length on model credibility. Water Resources Research 19:251–259.

    Article  Google Scholar 

  • Spear, R.C., 1997. Large simulation models: Calibration, uniqueness and goodness of fit. Environmental Modelling and Software 12:219–228.

    Article  Google Scholar 

  • Stadler, W. 1988. Fundamentals of multicriteria optimization, in Multicriteria Optimization in Engineering and in the Sciences (Stadler, W., ed.). Plenum Press, New York.

    Google Scholar 

  • Storie, R.E. 1976. Storie Index Soil Rating. Special Publication Division of Agricultural Science. University of California, Press, Berkeley.

    Google Scholar 

  • Tarantola, A. 1987. Inverse Problem Theory. Elsevier Science, Amsterdam.

    Google Scholar 

  • Theil, H. 1961. Economic Forecast and Policy. North-Holland, Amsterdam.

    Google Scholar 

  • USACE and SFWMD. 1998. Central and Southern Florida Project Comprehensive Review Study: Draft Integrated Feasibility Report and Programmatic Environmental Impact Statement. U.S. Army Corps of Engineers and South Florida Water Management District. Available from http://www.evergladesplan.org, accessed on January 1, 2002.

  • Villa, F. 1997. Usage of the Model Performance Evaluation software. Internal report, Institute of Ecologica Economics, University of Maryland. Available from www.giee.uvm.edu/~villa/svp/svp.

    Google Scholar 

  • Voogd, H. 1983. Multicriteria Evaluation for Urban and Regional Planning. Pion Ltd., Amsterdam.

    Google Scholar 

  • Wang, Q.J. 1997. Using genetic algorithms to optimise model parameters. Environmental Modelling and Software 12:21–34.

    Google Scholar 

  • Yapo, P.O., H.V. Gupta, and S. Sorooshian, 1998. Multi-objective global optimization for hydrologic models. Journal of Hydrology 204:83–97.

    Article  Google Scholar 

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Villa, F., Voinov, A., Fitz, C., Costanza, R. (2004). Calibration of Large Spatial Models: A Multistage, Multiobjective Optimization Technique. In: Costanza, R., Voinov, A. (eds) Landscape Simulation Modeling. Modeling Dynamic Systems. Springer, New York, NY. https://doi.org/10.1007/0-387-21555-7_4

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  • DOI: https://doi.org/10.1007/0-387-21555-7_4

  • Publisher Name: Springer, New York, NY

  • Print ISBN: 978-0-387-00835-6

  • Online ISBN: 978-0-387-21555-6

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