Abstract
Spatial simulation models were developed to predict temporal changes in land use patterns in a piedmont county in Georgia (USA). Five land use categories were included: urban, cropland, abandoned cropland, pasture, and forest. Land use data were obtained from historical aerial photography and digitized into a matrix based on a 1 ha grid cell format. Three different types of spatial simulation were compared: (1) random simulations based solely on transition probabilities; (2) spatial simulations in which the four nearest neighbors (adjacent cells only) influence transitions; and (3) spatial simulations in which the eight nearest neighbors (adjacent and diagonal cells) influence transitions. Models and data were compared using the mean number and size of patches, fractal dimension of patches, and amount of edge between land uses. The random model simulated a highly fragmented landscape having numerous, small patches with relatively complex shapes. The two versions of the spatial model simulated cropland well, but simulated patches of forest and abandoned cropland were fewer, larger, and more simple than those in the real landscape. Several possible modifications of model structure are proposed. The modeling approach presented here is a potentially general one for simulating human-influenced landscapes.
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References
Alig, R.J. 1986. Econometric analysis of the factors influencing forest acreage trends in the southeast. For. Sci. 32: 119–134.
Bowen, G.W. and Burgess, R.L. 1981. A quantitative analysis of forest island pattern in selected Ohio landscapes. ORNL/TM-7759. Oak Ridge National Laboratory, Oak Ridge, Tennessee.
Brender, E.V. 1974. Impact of past land use on the lower Piedmont forest. J. For. 72: 34–36.
Burgess, R.L. and Sharpe, D.M. 1981. Forest Island Dynamics in Man-Dominated Landscapes. Springer Verlag, New York.
Burnham, B.O. 1973. Markov intertemporal land use simulation model. Southern J Ag Econ 5: 253–258.
Burrough, P.A. 1986. Principles of geographical information systems for land resources assessment. Clarendon Press, Oxford.
Costanza, R. and Sklar, F.H. 1985. Articulation, accuracy, and effectiveness of mathematical models: a review of freshwater applications. Ecol. Mod. 27: 45–68.
Debussche, D.M., Godron, M., Lepart, J. and Romane, F. 1977. An account of the use of a transition matrix. Agro-Ecosystems 3: 81–92.
Fahrig, L. and Merriam, G. 1985. Habitat patch connectivity and population survival. Ecology 66: 1762–1768.
Forman, R.T.T. and Godron, M. 1981. Patches and structural components for a landscape ecology. BioScience 31: 733–740.
Forman, R.T.T. and Godron, M. 1986. Landscape Ecology. John Wiley & Sons, New York.
Freemark, K.E. and Merriam, H.G. 1986. Importance of area and habitat heterogeneity to bird assemblages in temperate forest fragments. Biol. Conserv. 36: 115–141.
Gardner, R.H., Milne, B.T., Turner, M.G. and O'Neill, R.V. 1987. Neutral models for the analysis of broad-scale landscape pattern. Landsc. Ecol. 1: 19–28.
Hall, F.G., Strebel, D.E., Goetz, S.J., Woods, K.D. and Botkin, D.B. Landscape pattern and successional dynamics in the boreal forest. Proc. Intl. Geoscience and Remote Sensing Symp. Ann Arbor, Michigan. In press.
Healy, R.G. 1985. Competition for land in the American South. The Conservation Foundation, Washington, D.C.
Henderson, M.T., Merriam, G. and Wegner, J. 1985. Patchy environments and species survival: chipmunks in an agricultural mosaic. Biol. Conserv. 31: 95–105.
Hett, J. 1971. Land use changes in east Tennessee and a simulation model which describes these changes for 3 counties. Oak Ridge National Laboratory, Oak Ridge, Tennessee, ORNL-IBP-71-8.
Johnson, W.C. 1977. A mathematical model of forest succession and land use for the North Caroline Piedmont. Bull Torrey Bot. Soc. 104: 334–346.
Johnson, W.C. and Sharpe, D.M. 1976. An analysis of forest dynamics in the north Georgia piedmont. For. Sci. 22: 307–322.
Kesner, B.T. 1984. The Geography of Nitrogen in an Agricultural Watershed: A Technique for the Spatial Accounting of Nutrient Dynamics. Masters Thesis, University of Georgia, Athens.
Krummel, J.R., Gardner, R.H., Sugihara, G. and O'Neill, R.V. 1987. Landscape patterns in a disturbed environment. Oikos 48: 321–324.
Lippe, E., de Smidt, J.T. and Glenn-Lewin, D.C. 1985. Markov models and succession: a test from a heathland in the Netherlands. J. Ecol. 73: 775–791.
Mandelbrot, B.B. 1977. Fractals, form, chance, and dimension. W.H. Freeman and Co., San Francisco, California.
Mandelbrot, B.B. 1983. The fractal geometry of nature. W.H. Freeman and Co., New York.
Milne, B.T. Measuring the fractal geometry of landscapes. Appl. Math. Comp. In press.
Nelson, T.C. 1957. The original forests of the Georgia piedmont. Ecology 38: 390–396.
Peterjohn, W.T. and Correll, D.L. 1984. Nutrient dynamics in an agricultural watershed: Observations on the role of a riparian forest. Ecology 65: 1466–1475.
Risser, P.G. 1987. Landscape Ecology: State-of-the-art.In Landscape Heterogeneity and Disturbance. pp. 3–14. Edited by M.G. Turner, Springer Verlag, New York. In press.
SAS Institute. 1982. SAS User's Guide: Statistics. SAS Institute, Inc., Cary, North Carolina.
Sklar, F.H. and Costanza, R. 1986. A spatial simulation of ecosystem succession in a Louisiana coastal landscape.In Proceedings of the 1986 Summer Computer Simulation Conference, The Society for Computer Simulation. pp. 467–472. Edited by R. Crosbie and P. Luker.
Sklar, F.H., Costanza, R. and Day, J.W. Jr. 1985. Dynamic spatial simulation modeling of coastal wetland habitat succession. Ecol. Mod. 29: 261–281.
Tansey, J.B. 1983. Forest Statistics for Georgia, 1982. USDA, Forest Service, Research Bull. SE-69.
Turner, M.G. 1987. Land use changes and net primary production in the Georgia, USA, landscape: 1935–82. Environ. Manage. 11: 237–247.
Turner, M.G. (ed.) 1987. Landscape Heterogeneity and Disturbance. Springer Verlag, New York. In press (a).
Turner, M.G. A spatial simulation model of land use changes in a piedmont county in Georgia. Appl. Math. Comp. In press (b).
Urban, D.L., O'Neill, R.V. and Shugart, H.H. 1987. Landscape ecology, a hierarchical perspective. BioScience 37: 119–127.
USDA 1982. Census of Agriculture, Georgia. Washington, D.C.
Usher, M.B. 1981. Modelling ecological succession, with particular reference to Markovian models. Vegetatio 46: 11–18.
Van Hulst, R. 1979. On the dynamics of vegetation: Markov chains as models of succession. Vegetatio 40: 3–14.
White, F.C., Hairston, J.R., Musser, W.N., Perkins, H.F. and Reed, J.F. 1981. Relationship between increased crop acreage and nonpoint-source pollution: A Georgia case study. J. Soil Water Conserv. 36: 172–177.
Wiens, J.A., Crawford, C.S. and Gosz, J.R. 1985. Boundary dynamics: a conceptual framework for studying landscape ecosystems. Oikos 45: 421–427.
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Turner, M.G. Spatial simulation of landscape changes in Georgia: A comparison of 3 transition models. Landscape Ecol 1, 29–36 (1987). https://doi.org/10.1007/BF02275263
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DOI: https://doi.org/10.1007/BF02275263