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Spatial analysis of selected soil attributes across an alpine topographic/snow gradient

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Abstract

The impact of the topographic/snow gradient on soil processes in alpinetundra on Niwot Ridge of the Colorado Front Range (Rocky mts, USA) was assessedusinggeostatistical modeling and a fractal approach. The mean snow depth, whichmeasured between 1984 and 2000, exhibited a smooth spatial continuity acrossthestudy grid area (550 × 400 meter). Soil color variables showed a nestedstructure that was attributed to a confounded effect of various soil-formingfactors on catenary processes. The spatial structure of texture classesexhibited no spatial structure and was explained by data sparsity,cryoturbation, and biological processes that mask the expected long-distancevariations (i.e., 550-m) of the catenary processes. Organic C, pH, bulkdensity,and soil moisture content showed various degrees of spatial continuity, but allindicated that the topographic/snow gradient is not the only dominantsoil-forming factor in this alpine ecosystem. The estimated fractal dimensionDfor the grid landform and the mean snow depth varied between 1.2 and 1.4,indicating that they vary smoothly with long-range variation. The estimatedDofthe soil variables ranged between 1.6 and 1.8, showing a noisy appearance withshort-range variations. These results strongly suggest that most small andmicro-scale variations in the alpine soil environs resulted from the combinedeffect of cryoturbation, biological activity, parent-material and eoliandeposition, whereas the large-scale variations originated as a result of thetopographic/snow gradient.

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References

  • Barron V. and Torrent J. 1986. Use of the Kubelk-Munk theory to study the influence of iron oxides on soil color. Jour. Soil Sci. 37: 499-510.

    CAS  Google Scholar 

  • Benedict J.B. 1992. Field and laboratory studies of patterned ground in a Colorado alpine region. Occasional Paper No. 49. Institute of Arctic and Alpine Research, University of Colorado, Boulder, CO, USA, 38p.

    Google Scholar 

  • Bouma J. and van Lanen J.A.J. 1987. Transfer functions and thresholds values: From soil characteristics to land qualities. In: Bech K.J. (ed.), Quantified Land Evaluation. Proc. Worksh. ISSS and SSSA, Washington, DC. 27 Apr.-2 May 1986. Int. Inst. Aerospace Surv. Earth Sci. Publ. no. 6. ITC Publ., Enschede, the Netherlands, pp. 106-110.

    Google Scholar 

  • Bowman W.D., Theodose T.A., Schardt J.C. and Conant R.T. 1993. Constraints of nutrient availability on primary production in two alpine tundra communities. Ecology 74: 2085-2097.

    Google Scholar 

  • Bowman W.D. and Conant R.T. 1994. Shoot growth dynamics and photosynthetic response to increased nitrogen availability in the alpine willow Salix glauca. Oecologia 97: 93-99.

    Article  Google Scholar 

  • Bregt A.K., Bouma J. and Jellinek M. 1987. Comparison of thematic maps derived from a soil map and from kriging point data. Geoderma 39: 281-291.

    Article  Google Scholar 

  • Burns S.F. and Tonkin P.J. 1982. Soil-geomorphic models and the spatial distribution and development of alpine soils. In: Thorne C.E. (ed.), Space and Time in Geomorphology. Allen & Unwin, London, UK, pp. 25-43.

    Google Scholar 

  • Burrough P.A. 1994. Principles of Geographical Information Systems for Land Resources Assessment. Monographs on Soil and Resources Survey No 12. Oxford Science Publication, Clarendon Press, Oxford, UK.

    Google Scholar 

  • Burrough P.A., Bouma J. and Yates S.R. 1994. The state of the art in pedometrics. Geoderma 62: 311-326.

    Article  Google Scholar 

  • Burrough P.A. 1983. Multiscale sources of spatial variation in soil. I. The application of fractal concepts to nested levels of soil variation. Jour. Soil Sci. 34: 577-597.

    Google Scholar 

  • Cressie N. 1988. Spatial prediction and ordinary kriging. Math. Geol. 20: 405-421.

    Article  Google Scholar 

  • Deutsch C.V. and Journel A.G. 1992. GSLIB-Geostatistical Software Library and User’s Guide. Oxford University Press, New York, 340p.

    Google Scholar 

  • Fisk M.C., Schmidt S.K. and Seastedt T.R. 1998. Topographic patterns of above-and belowground production and nitrogen cycling in alpine tundra. Ecology 79: 2253-2266.

    Google Scholar 

  • Frank T.D. 1988. Mapping dominant vegetation communities in the Colorado Rocky Mountain Range with LANDSAT thematic mapper and digital terrain data. Photogrammetric Engineering and Remote Sensing 54: 1727-1734.

    Google Scholar 

  • Goovaerts P. and Chiang C.N. 1993. Temporal persistence of spatial patterns for mineralizable nitrogen and selected soil properties. Soil Sci. Soc. Am. J. 57: 372-381.

    CAS  Google Scholar 

  • Ingersoll R.C., Seastedt T.R. and Hartman M.A. 1997. A Model Information Management System for Ecological Research. Bio-Science 47: 310-316.

    Google Scholar 

  • Isaaks E.H. and Srivastava M.R. 1989. An Introduction to Applied Geostatistics. Oxford University Press, New York, NY, USA, 561 p.

    Google Scholar 

  • Litaor M.I. 1987a. The influence of eolian dust on the genesis of alpine soils in the Front, Range, Colorado. Soil Science Society of America Journal 51: 142-147.

    CAS  Google Scholar 

  • Litaor M.I. 1987b. Aluminum chemistry: fractionation, speciation, and mineral equilibria of soil interstitial waters of an alpine watershed, Front Range, Colorado. Geochem. et Cosmochim. Acta. 51: 1285-1295.

    Article  CAS  Google Scholar 

  • Litaor M.I., Mancinelli R. and Halfpenny J. 1996. The influence of Pocket Gophers on the status of nutrients in alpine soils. Geoderma 70: 37-48.

    Article  CAS  Google Scholar 

  • Mandelbrot B.B. 1982. The Fractal Geometry of Nature. Freeman, New York, NY, USA.

    Google Scholar 

  • May D.E. and Webber P.J. 1982. Spatial and temporal variation of the vegetation and its productivity on Niwot Ridge, Colorado. In: Halfpenny J.C. (ed.), Ecological Studies in the Colorado Alpine. Institute of Arctic and Alpine Research, University of Colorado, Boulder, CO, USA, pp. 35-62.

    Google Scholar 

  • Mahaney W.C. and Fahey B.D. 1988. Extractable Fe and Al in late Pleistocene and Holocene paleosols on Niwot Ridge, Colorado Front Range. Catena 15: 17-26.

    Article  CAS  Google Scholar 

  • McBratney A.B. and Webster R. 1983. How many observations are needed for regional estimation of soil properties? Soil Sci. 135: 177-183.

    Google Scholar 

  • Melville M.D. and Atkinson G. 1985. Soil colour: its measurement and its designation in models of uniform colour space. J Soil Sci. 36: 495-512.

    Google Scholar 

  • O’Lear H.A. and Seastedt T.R. 1994. Landscape patterns of litter decomposition in alpine tundra. Oecologia 99: 95-101.

    Article  Google Scholar 

  • Scheinost A.C. and Schwertzmann U. 1999. Color identification of iron oxides and hydroxysulfates: Use and limitations. Soil Sci. Soc. Am. J. 63: 1463-1471.

    CAS  Google Scholar 

  • Scheinost A.C., Sinowski W. and Auerswald K. 1997a. Regionalization of soil buffering functions: A new concept applied to K/Ca exchange curves. Advances in GeoEcology 30: 23-38.

    CAS  Google Scholar 

  • Scheinost A.C., Sinowski W. and Auerswald K. 1997b. Regionalization of soil water retention curves in a highly variable soilscape, I. Developing a new pedotransfer function. Geoderma 78: 129-143.

    Article  Google Scholar 

  • Schulze D.G., Van Scoyoc G.E., Henderson T.L., Baumgardner M.F., Negal J.L. and Stott D.E. 1993. Significance of organic matter in determining soil colors. In: Bigham and Ciolkosz (eds), Soil Color. SSSA Special Publication Number 31. Soil Science Society of America Inc., Madison, WI, USA, pp. 71-91.

    Google Scholar 

  • Steltzer H. and Bowman W.D. 1998. Differential influence of plant species on soil nitrogen transformations within moist meadow alpine tundra. Ecosystems 1: 464-474.

    Article  CAS  Google Scholar 

  • Taylor R.V. and Seastedt T.R. 1994. Short-and long-term patterns of soil moisture in alpine tundra. Arctic and alpine Research 26: 14-20.

    Google Scholar 

  • Tietje O. and Tapkenhinrichs M. 1993. Evaluation of pedo-trans function. Soil Sci. Soc. Am. J. 57: 1088-1095.

    Google Scholar 

  • Walker D.A., Krantz W.B., Price E.T., Lewis B.E. and Tabler R.D. 1994. Hierarchic studies of snow-ecosystem interactions: a 100 year snow alteration experiment. In: Proceedings of the 50th Eastern Snow Conference, pp. 407-414.

  • Walker D.A., Halfpenny J.C., Walker M.D. and Wessman C.A. 1993. Long-term studies of snow-vegetation interactions. Bio-Science 43: 287-301.

    Google Scholar 

  • Webster R. and Oliver M.A. 1990. Statistical Methods in Soil and Land Resource Survey. Spatial Information System. Oxford University Press, New York, NY, USA, 316 p.

    Google Scholar 

  • West A.E., Brooks P.D., Fisk M.C., Smith L.K., Holland E.A., Jaeger C.H. et al. 1999. Landscape patterns of CH4 fluxes in an alpine tundra ecosystem. Biogeochemistry 45: 243-264.

    Google Scholar 

  • Williams M.W., Brooks P.D. and Seastedt T. 1998. Nitrogen and carbon soil dynamics in response to climate change in a high-elevation ecosystem in the Rocky Mountains, USA. Arctic and Alpine Research 30: 26-30.

    Google Scholar 

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Iggy Litaor, M., Seastedt, T. & Walker, D. Spatial analysis of selected soil attributes across an alpine topographic/snow gradient. Landscape Ecol 17, 71–85 (2002). https://doi.org/10.1023/A:1015216400909

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