Abstract
We present a simple and generalized method to predict Available Soil Water Capacity (ASWC-TOP) for a given area using a topographic index, defined as ln(α/tanβ), where α is the upslope area draining past a certain point per unit width of slope, and β is the local surface slope angle. The estimated results (ASWC-TOP) were then compared with the available soil water capacity calculated from soil series information provided by Soil Conservation Service, U.S. Department of Agriculture (ASWC-SCS). The model implementation was tested with three study cases: the Seeley-Swan valley, Montana, with pixel resolutions of 100 m and 1 km, respectively; and the state of Montana, U.S.A., with a pixel resolution of 1 km. A linear relationship exists between ASWC-SCS and ln(α/tanβ). Standard errors between ASWC-TOP and ASWC-SCS were about 4.4 cm in the Seeley-Swan valley and 5.5 cm in the state. The number of pixels with absolute residuals ≤ 4 cm between ASWC-TOP and ASWC-SCS accounted for 68.2, 64.4, and 51.9% for the valley 100 m, valley 1 km, and the state respectively. Some of the mismatches between ASWC-TOP and ASWC-SCS may indicate an improvement using this method compared to existing data because the topographic method reflects the higher spatial variation of the inputs. The increasing availability of digital elevation data, at various resolutions, may provide an alternative to soil series for estimating ASWC. The accuracy of ASWC-TOP depends on estimation of mean and maximum ASWC for a study area.
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References
Band, L.E. 1986. Topographic partition of watersheds with Digital Elevation Models. Water Resources Res. 22(1): 15–24.
Band, L.E., Peterson, J.P., Nemani, R. and Running, S.W. 1993. Ecosystem processes at the watershed scale: Incorporating hill-slope hydrology. Agric. and For. Meteorol. 63: 93–126.
Barling, R.D., Moore, I.D. and Grayson, R.B. 1994. A quasidynamic wetness index for characterizing the spatial distribution of zones of surface saturation and soil water content. Water Resources Res. 30(4): 1029–1044.
Beckett, P.H.T. and Webster, R. 1971. Soil variability — a review. Soils Fert. 34: 1–15.
Beven, K.J. and Kirkby, M.J. 1979. A physically based, variable contributing area model of basin hydrology. Hydrol. Sci. Bulletin 24: 43–69.
Beven, K.J. and Wood, E.F. 1983. Catchment geomorphology and the dynamics of runoff contributing areas. J. Hydrol. 65: 139–158.
Burrough, P.A. 1983. Multiscale sources of spatial variation in soil. I. The application of fractal concepts to nested levels of soil variation. J. Soil Sci. 34: 599–620.
Burrough, P.A. 1986. Principles of geographical information systems for land resources assessment. Clarendon Press, Oxford.
Clark, W.A.V. and Hosking, P.L. 1986. Statistical Methods for Geographers. John Wiley & Sons, New York.
Glaser, R.E. 1983. Levene's robust test of homogeneity of variances.In Encyclopedia of Statistical Sciences. Vol. 4: 608–610. Edited by S. Kotz, N.L. Johnson and C.B. Read. John Wiley & Son, New York.
Horn, B.K.P. 1981. Hill shading and the reflectance map. Proceedings of the I.E.E.E. 69(1): 14–47.
Kern, J.S. 1993a. Evaluation of soil water retention modeled from texture, organic matter, and bulk density. Soil Sci. Soc. Am. J. (in press).
Kern, J.S. 1993b. Geographic patterns of soil water retention in the Contiguous United States. Soil Sci. Soc. Am. J. (in press).
Kirkby, M.J. and Weyman, D.R. 1974. Measurement of contributing area in very small drainage basins. Seminar Paper Series B. No. 3, Dept. of Geog., University of Bristol.
Kirkby, M.J., Callen, J., Weyman, D.R. and Wood, J. 1976. Measurement and modeling of dynamic contributing areas in very small catchments. Working Paper No. 167, School of Geog., University of Leeds.
Kleinbaum, D.G., Kupper, L.L. and Muller, K.E. 1988. Applied regression analysis and other multivariable methods. Second edition. PWS-KENT Publishing Company, Boston.
Lammers, R.B. and Band, L.E. 1990. Automating object representation of drainage basins. Computers & Geosciences 16(6): 787–810.
Lindgren, B.W. 1976. Statistical Theory. Third Edition, Macmillan Publishing Co., Inc. New York.
Mandelbrot, B.B. 1982. The fractal geometry of nature. Freeman, New York.
Mark, D.M. and Csillag, F. 1990. The nature of boundaries on “Area-Class” maps. Cartographica 27: 65–68.
Nemani, R.R. and Running, S.W. 1989. Testing a theoretical climate-soil-leaf area hydrologic equilibrium of forests using satellite data and ecosystem simulation. Agric. For Meteorol. 44: 245–260.
Nemani, R.R., Running, S.W., Band, L. and Peterson, D. 1993. Regional hydro-ecological simulation system: An illustration of the integration of ecosystem models in GIS.In Environmental Modeling with GIS. pp. 296–304. Edited by M.F. Goodchild, B.O. Parks and L.T. Steyaert. Oxford University Press, New York.
Rawls, W.L., Brakensiek, D.L. and Saxton, K.E. 1982. Estimation of soil water properties. Trans. ASAE 25: 1316–1320.
Running, S.W., Nemani, R.R., Peterson, D.L., Band, L.E., Potts, D.F., Pierce, L.L. and Spanner, M.A. 1989. Mapping regional forest evapotranspiration and photosynthesis by coupling satellite data with ecosystem simulation. Ecology 70: 1090–1101.
Running, S.W. 1994. Testing FOREST-BGC ecosystem process simulations across a climatic gradient in Oregon. Ecological Applications 4(2): 238–247.
Saxton, K.E., Rawls, W.J., Romberger, J.S. and Papendick, R.I. 1986. Estimating generalized soil-water characteristics from texture. Soil Sci. Soc. Am. J. 50: 1031–1036.
Singer, M.J. and Munns, D.N. 1987. Soils: an introduction. Macmillan publishing company, New York, pp. 336–337.
Skidmore, A.K. 1989. A comparison of techniques for calculating gradient and aspect from a gridded digital elevation model. Int. J. GIS 3(4): 323–334.
United States Department of Agriculture, 1991. State soil geographic data base (STATSGO). Soil Conservation Service, Miscellaneous Publication No. 1492.
Vereecken, H., Maes, J., Feyen, J. and Darius, P. 1989. Estimating the soil moisture retention characteristic from texture, bulk density, and carbon content. Soil Sci. 148: 389–403.
Vörösmarty, C.J., Moore, B. III, Grace, A.L., Gildea, M.P., Mellillo, J.M., Peterson, B.J., Rastetter, E.B. and Steudler, P.A. 1989. Continental scale models of water balance and fluvial transport: An application to South America. Global Biogeochemical Cycles 3: 241–265.
Zhu, A.-Xing, Band, L.E., Dutton, B. and Nimlos, T.J. 1993. Automated soil inference under fuzzy logic. Int. J. of Ecol. Modeling (in press).
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Zheng, D., Hunt, E.R. & Running, S.W. Comparison of available soil water capacity estimated from topography and soil series information. Landscape Ecol 11, 3–14 (1996). https://doi.org/10.1007/BF02087109
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DOI: https://doi.org/10.1007/BF02087109