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Introduction: Spatially Explicit Landscape Simulation Models

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Landscape Simulation Modeling

Part of the book series: Modeling Dynamic Systems ((MDS))

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References

  • Allen, T.F.H. and T.B. Starr. 1982. Hierarchy. University of Chicago Press, Chicago. IL.

    Google Scholar 

  • Addicott, J.F., J.M. Aho, M.F. Antolin, Richardson, J.S. and D.A. Soluk. 1987. Ecological neighborhoods: Scaling environmental patterns. Oikos 49:340–346.

    Google Scholar 

  • Band, L.E., D.L. Peterson, S.W. Running, J.C. Coughlan, R. Lammers, J. Dungan, and R.R. Nemani. 1991. Ecosystem processes at the watershed level: Basis for distributed simulation. Ecological Modelling v.56, p.171–196.

    Article  Google Scholar 

  • Bartel, S.M., W.G. Cale, R.V. O’Neill, and R.H. Gardner. 1988. Aggregation error: Research objectives and relevant model structure. Ecological Modelling 41:157–168.

    Article  Google Scholar 

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

    Article  Google Scholar 

  • Beven, K.J. and M.J. Kirkby. 1979. A physically-based, variable contributing area model of basin hydrology. Hydrological Sciences Bulletin 24(1):43–69.

    Article  Google Scholar 

  • Cale, W.G., R.V. O’Neil, and R.H. Gardner. 1983. Aggregation error in nonlinear ecological models. Journal of Theoretical Biology 100:539–550.

    Article  Google Scholar 

  • Carpenter, S.R. and J.F. Kitchell (eds.). 1993. The Trophic Cascade in Lakes. Cambridge University Press, New York.

    Google Scholar 

  • Colwell, R.K. 1974. Predictability, constancy, and contingency of periodic phenomena. Ecology 55:1148–1153.

    Article  Google Scholar 

  • Costanza, R. and T. Maxwell. 1994. Resolution and predictability: An approach to the scaling problem. Landscape Ecology 9:47–57.

    Article  Google Scholar 

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

    Article  Google Scholar 

  • Creed, I.F., L.E. Band, N.W. Forster, I.K. Morrisson, J.A. Nicolson, R.S. Semkin, and D.S. Jeffries. 1996. Regulation of nitrate-N release from temperate forests: A test of the N flushing hypothesis. Water Resources Research 32:3337–3354.

    Article  CAS  Google Scholar 

  • Delcourt, H.R., P.A. Delcourt, and T. Webb. 1983. Dynamic plant ecology: The spectrum of vegetation change in space and time. Quaternary Science Review 1:153–175.

    Article  Google Scholar 

  • Donigian, A.S., J.C. Imhoff, B.R. Bicknell, and J.L. Kittle. 1984. Application Guide for Hydrological Simulation Program-FORTRAN (HSPF). U.S. EPA, Environmental Research Laboratory, Athens, GA.

    Google Scholar 

  • Ehleringer, J.R. and C.B. Field (eds.). 1993. Scaling Physiological Processes: Leaf to Globe. Academic Press, New York.

    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 for a range of scales and ecosystems. Ecological Modelling 88(1/3):263–295.

    Article  CAS  Google Scholar 

  • Gardner, R.H., W.G. Cale, and R.V. O’Neil. 1982. Robust analysis of aggregation error. Ecology 63(6):1771–1779.

    Article  Google Scholar 

  • Gell-Mann, M. 1995. The Quark and the Jaguar: Adventures in the Simple and the Complex. W.H. Freeman, San Francisco, CA.

    Google Scholar 

  • Gibson, C., E. Ostrom, and T. Ahn. 2000. The concept of scale and the human dimensions of global change: a survey. Ecological Economics 32:217–239.

    Article  Google Scholar 

  • Hirata, H. and R.E. Ulanowicz. 1985. Informational theoretical analysis of the aggregation and hierarichal structure of ecological networks. Journal of Theoretical Biolog 116:321–341.

    Google Scholar 

  • Ijiri, Y. 1971. Fundamental queries in aggregation theory. Journal of The Astronomical Society of America 66:766–782.

    Google Scholar 

  • Jarvis, P.G. and K.G. McNaughton. 1986. Stomatal control of transpiration: Scaling up from leaf to region. Advances in Ecological Research 15:1–49.

    Article  Google Scholar 

  • Kauffman, S. 1993. The Origins of Order: Self-Organization and Selection in Evolution. Oxford University Press, New York.

    Google Scholar 

  • Krysanova, V., A. Meiner, J. Roosaare, and A. Vasilyev. 1989. Simulation modelling of the coastal waters pollution from agricultural watershed. Ecological Modelling 49:7–29.

    Article  CAS  Google Scholar 

  • Livingston, R.J. 1987. Field sampling in estuaries: The relationship of scale to variability. Estuaries 10:194–207.

    Article  Google Scholar 

  • Mandelbrot, B.B. 1977. Fractals. Form, Chance and Dimension. W. H. Freeman, San Francisco, CA.

    Google Scholar 

  • Mandelbrot, B.B. 1983. The Fractal Geometry of Nature. W. H. Freeman, San Francisco, CA.

    Google Scholar 

  • Meentemeyer V. 1989. Geographical perspectives of space, time, and scale, Landscape Ecology 3,no.3–4 p. 163–173.

    Article  Google Scholar 

  • Meentemeyer, V. and Box, E.O. 1987. Scale effects in landscape studies. Landscape heterogeneity and disturbance. pp. 15–34.

    Google Scholar 

  • O’Neill, R.V., D.L. DeAngelis, J.B. Waide, and T.F.H. Allen. 1986. A Hierarchical Concept of Ecosystems. Princeton University Press, Princeton, NJ.

    Google Scholar 

  • O’Neill, R.V., A.R. Johnson, and A.W. King. 1989. A hierarchical framework for the analysis of scale. Landscape Ecology 3(3):193–205.

    Article  Google Scholar 

  • Parton, W.J., D.S. Ojima, D.S. Schimel and T.G.F. Kittel. 1992. Development of simplified ecosystem models for applications in Earth system studies: The CENTURY experience. In D.S. Ojima, ed: Earth System modeling. Proceedings from the 1990 Global Change Institute on Earth System Modeling, Snowmass, Colorado, pp 281–302.

    Google Scholar 

  • Patten, B.C. and S. Jorgensen, 1995. Complex Ecology: The Part-Whole Relationship in Ecosystems. Prentice-Hall, Englewood Cliffs, NJ.

    Google Scholar 

  • Rastetter, E.B., A.W. King, B.J. Cosby, G.M. Hornberger, R.V. O’Neil, and J.E. Hobbie. 1992. Aggregating fine-scale ecological knowledge to model coarser-scale attributes of ecosystems. Ecological Applications 2:55–70.

    Article  Google Scholar 

  • Rosswall, R., R.G. Woodmansee, and P.G. Risser. 1998. Scales and Global Change: Spatial and Temporal Variability in Biospheric and Geospheric Processes. Wiley, New York.

    Google Scholar 

  • Salthe, S.N. 1985. Evolving Hierarchical Systems: Their Structure and Representation. Columbia University Press, New York.

    Google Scholar 

  • Steyn, D.G., T.R. Oke, J.E. Hay, and J.L. Knox, 1981. On scales in meteorology and climatology. Climate Bulletin 39:1–8.

    Google Scholar 

  • Thiel, H. 1967. Economics and Information Theory. North-Holland, Amsterdam.

    Google Scholar 

  • Troncale, L.R. 1985. On the possibility of empirical refinement of general systems isomorphies. Proceedings of the Society for General Systems Research 1:7–13.

    Google Scholar 

  • Turner, M.G., R. Costanza, and F.H. Sklar. 1989. Methods to compare spatial patterns for landscape modeling and analysis. Ecological Modelling 48:1–18.

    Article  Google Scholar 

  • Voinov, A., C. Fitz and R. Costanza. 1998. Surface water flow in landscape models: 1. Everglades case study. Ecological Modelling 108(1–3):131–144.

    Article  Google Scholar 

  • Voinov, A., R. Costanza, L. Wainger, R. Boumans, F. Villa, T. Maxwell, and H. Voinov. 1999. Patuxent landscape model: integrated ecological economic modeling of a watershed. Environmental Modelling and Software 14:473–491.

    Article  Google Scholar 

  • Vorosmarty C.J., B. Moore III, A.L. Grace, M.P. Gildea, J.M. Melillo, and B.J. Peterson. 1989. Continental scale model of water balance and fluvial transport: An application to South America. Global Biogeochemical Cycles 3:241–265.

    Google Scholar 

  • West G.B., J.H. Brown, and B.J. Enquist. 1997. A general model for the origin of allometric scaling laws in biology. Science 276:122–126.

    Article  PubMed  CAS  Google Scholar 

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Authors
  1. Robert Costanza
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  2. Alexey Voinov
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Editor information

Editors and Affiliations

  1. Gund Institute of Ecological Economics, University of Vermont, Burlington, VT, 05405-1708, USA

    Robert Costanza  & Alexey Voinov  & 

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Costanza, R., Voinov, A. (2004). Introduction: Spatially Explicit Landscape Simulation Models. 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_1

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  • DOI: https://doi.org/10.1007/0-387-21555-7_1

  • Publisher Name: Springer, New York, NY

  • Print ISBN: 978-0-387-00835-6

  • Online ISBN: 978-0-387-21555-6

  • eBook Packages: Springer Book Archive

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