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  • Bock, L., Bogaert, P., Colinet, G., Ducarme, F., Delcarte, E., Delvaux, B., et al. 2003. Convention d’etude Pollusol: etablissement et cartographie des teneurs bruits de fond en elements traces metalliques et micropolluants organiques dans les sols de la Region wallonne. Rapport final du groupe d’etude A P P P, “Application de la pedologie aux problemes de pollution” (SPAQuE - UCL - FUSAGx - BEAGx - CAFX), p. 125.
  • Boucneau, G., Van Meirvenne, M. & Hofman, G. 1998. Comparing pedotransfer functions to estimate soil bulk density in northern Belgium. Pédologie - Themata, 5, 6770.
  • Bowman, R.A., Reeder, J.D. & Wienhold, B.J. 2002. Quantifying laboratory and field variability to assess potential for carbon sequestration. Communications in Soil Science & Plant Analysis, 33(9 & 10), 16291642.
  • Brye, K. & Slaton, N. 2003. Carbon and Nitrogen Storage in a Typic Albaqualf as Affected by Assessment Method. Communications in Soil Science & Plant Analysis, 34(11 & 12), 16371655.
  • Conant, R.T., Smith, G.R. & Paustian, K. 2003. Spatial Variability of Soil Carbon in Forested and Cultivated Sites: Implications for Change Detection. Journal of Environmental Quality, 32, 278286.
  • De Leenheer, L., Appelmans, F. & Vandamme, J. 1968. Système des cartes perforées de la section “caractérisation du sol” de la cartographie des sols de Belgique. Pédologie, 18(1), 208227.
  • De Vos, B., Van Meirvenne, M., Quataert, P., Deckers, J. & Muys, B. 2005. Predictive quality of pedotransfer functions for estimating bulk density of forest soils. Soil Science Society of America Journal, 69, 500510.
  • DEFRA (Department for Environment, Food and Rural Affairs) 2003. Sampling strategies and soil monitoring. Final Report on Project SP 0514, DEFRA, London.
  • Delcourt, H., Darius, P.L. & De Baerdemaeker, J. 1996. The spatial variability of some aspects of topsoil fertility in two Belgian fields. Computers & Electronics in Agriculture, 14, 179196.
  • Díaz-Zorita, M. 1999. Soil organic carbon recovery by the Walkley-Black method in a typic hapludoll. Communications in Soil Science & Plant Analysis, 30, 739745.
  • Dileep, K.P., Singh, R., Kundu, D.K., Chakraborty, H. & A. Kumar. 2008. Improved estimation of soil organic carbon storage uncertainty using first-order Taylor series approximation. Soil Science Society of America Journal, 72, 17081710.
  • Don, A., Schumacher, J., Scerer-Lorenzen, M., Scholten, T. & Schulze E. 2007. Spatial and vertical variation of soil carbon at two grassland sites - Imlications for measuring soil carbon stocks. Geoderma , 141, 272282.
  • EC 2006. Proposal for a Directive of the european parliament and of the council establishing a framework for the protection of soil and amending Directive 2004/35/EC - European Community, Brussels (COM(2006)232 final).
  • Ellert, B.H., Janzen, H.H. & Entz, T. 2002. Assessment of a Method to Measure Temporal Change in Soil Carbon Storage. Soil Science Society of America Journal, 66, 16871695.
  • Falloon, P. & Smith, P. 2003. Accounting for changes in soil carbon under the Kyoto Protocol : need for improved long-term data sets to reduce uncertainty in model projections. Soil Use & Management, 19, 265269.
  • Falloon, P., Smith, P., Bradley, R.I., Milne, R., Tomlinson, R., Viner, D., et al. 2006. RothCUK - a dynamic modelling system for estimating changes in soil C from mineral soils at 1-km resolution in the UK. Soil Use & Management, 22, 274288.
  • Freibauer, A., Rounsevell, M.D.A., Smith, P. & Verhagen, J. 2004. Carbon sequestration in the agricultural soils of Europe. Geoderma, 122, 123.
  • Garten, J.C.T. & Wullschleger, S.D. 1999. Soil carbon inventories under a bioenergy crop (switchgrass): measurement limitations. Journal of Environmental Quality, 28, 13591365.
  • Geypens, M., Vanongeval, L., Vogels, N. & Meykens, J. 2000. Spatial variability of agricultural soil fertility parameters in a gleyic podzol of Belgium. Precision Agriculture, 1, 319326.
  • Goidts, E. & Van Wesemael, B. 2007. Regional assessment of soil organic carbon changes under agriculture in southern Belgium (1955–2005). Geoderma, 141, 341354.
  • Goodman, L.A. 1960. On the exact variance of products. Journal of The American Statistical Association, 55, 708713.
  • Goovaerts, P. & Webster, R. 1994. Scale-dependent correlation between topsoil copper and cobalt concentrations in Scotland. European Journal of Soil Science, 45, 7995.
  • Hammersley, J.M. & Handscomb, D.C. 1964. Monte Carlo Methods. Methuen London.
  • Hanotiaux, G. 1992. Updated legend of Belgium soils map. Technical report. Soil Science Department, Faculty of Agricultural Sciences of Gembloux, Gembloux.
  • Heuvelink, G.B.M. 1998. Uncertainty analysis in environmental modelling under a change of spatial scale. Nutrient Cycling in Agroecosystems, 50, 255264.
  • Janik, L., Spouncer, L., Correll, R. & Skjemstad, J. 2002. Sensivity analysis of the RothC soil carbon model (Ver. 26.3 Excel)., National Carbon Accounting - Technical report no.30, Australian Greenhouse Office, Canberra, ACT, Australia
  • Johnson, C.E., Johnson, A.H. & Huntington, T.G. 1990. Sample size requirements for the determination of changes in soil nutrient pools. Soil Science, 150, 637644.
  • Jolivet, C., Arrouays, D. & M. Bernoux. 1998. Comparison between analytical methods for organic carbon and organic matter determination in sandy spodosols of France. Communications in Soil Science & Plant Analysis, 29, 22272233.
  • Jones, L. 1989. Some results comparing Monte Carlo simulation and first order Taylor series approximation for steady groundwater flow. Stochastic Hydrology & Hydraulics, 3, 179190.
  • Kern, J.S. 1994. Spatial patterns of soil organic carbon in the contiguous United States. Soil Science Society of America Journal, 58, 439455.
  • Ku, H.H. 1966. Notes on the use of propagation of error formulas. Journal of Research of the National Bureau of Standards - C. Engineering & Instrumentation, 70C, 263273.
  • Kucharik, C.J., Roth, J.A. & Nabielski, R.T. 2003. Statistical assessment of a paired-site approach for verification of carbon and nitrogen sequestration on Wisconsin Conservation Reserve Program land. Journal of Soil and Water Conservation, 58, 5867.
  • Lark, R.M., Milne, A.E., Addiscott, T.M., Goulding, K.W.T., Webster, C.P. & O’Flaherty, S. 2004. Scale and location dependent correlation of nitrous oxide emissions with soil properties: an analysis using wavelets. European Journal of Soil Science, 55, 611625.
  • Lark, R.M. 2005. Exploring scale-dependent correlation of soil properties by nested sampling. European Journal of Soil Science, 56, 307317.
  • Lettens, S., De Vos, B., Quataert, P., Van Wesemael, B., Muys, B. & Van Orshoven, J. 2007. Variable carbon recovery of Walkley-Black analysis and implications for national soil organic carbon accounting. European Journal of Soil Science, 58, 12441253.
  • Lide, D.R. 1981. Handbook of chemistry & physics: a ready-reference book of chemical and physical data (ed. D.R.Lide), 77thedn. CRC Press, Boca Raton, FL, USA.
  • Lindberg, V. 2000. Uncertainties and error propagation - Part 1. In Manual on Uncertainties, Graphing, and the Vernier Caliper. Institute of Technology, Rochester.
  • Lowther, J.R., Smethurst, P.J., Carlyle, J.C. & Nambiar, E.K.S. 1990. Methods for determining organic carbon in podzolic sands. Communications in Soil Science & Plant Analysis, 21, 457470.
  • Mardia, K.V., Kent, J.T. & Bibby, J.M. 1979. Multivariate Analysis. p. 521. Academic Press, London.
  • Meersmans, J., De Ridder, F., Canters, F., De Baets, S. & Van Molle M. 2008. A multiple regression approach to assess the spatial distribution of Soil Organic Carbon (SOC) at the regional scale (Flanders, Belgium). Geoderma, 143, 113.
  • Miller, F.T. & Guthrie, R.L. 1984. Classification and distribution of soils containing rock fragments in the United States. In: J.D.Nichols, P.L.Brown and W.J.Grant (Eds), Erosion and Productivity of Soils Containing Rock Fragments. Soil Science Society of America Special Publication No. 13, pp 1–6, SSSA, Madison, WI.
  • Milne, R. & Brown, T.A. 1997. Carbon in the vegetation and soils of Great Britain. Journal of Environmental Management, 49, 413433.
  • Milne, E., Al-Adamat, R., Batjes, N.H., Bernoux, M., Bhattacharyya, T., Cerri, C.C., et al. 2007. National and sub-national assessments of soil organic carbon stocks and changes: The GEFSOC modelling system. Agriculture, Ecosystems & Environment, 122, 312
  • Morton, J.D., Baird, D.B. & Manning, M.J. 2000. A soil sampling protocol to minimise the spatial variability in soil test values in New Zealand hill country. New Zealand Journal of Agricultural Research, 43, 367375.
  • Morvan, X., Saby, N.P.A., Arrouays, D., Le Bas, C., Jones, R.J.A., Verheijien, F.G.A., et al. 2008. Soil monitoring in Europe: a review of existing systems and requirements for harmonisation. Science of the Total Environment, 391, 112.
  • Muleta, M.K. & Nicklow, J.W. 2005. Sensitivity and uncertainty analysis coupled with automatic calibration for a distributed watershed model. Journal of Hydrology, 306, 127145.
  • Ogle, S., Breidt, F.J., Eve, M.D. & Paustian, K. 2003. Uncertainty in estimating land use and management impacts on soil organic carbon storage for US agricultural lands between 1982 and 1997. Global Change Biology, 9, 15211542.
  • Ogle, S.M., Breidt, F.J. & Paustian, K. 2006. Bias and variance in model results associated with spatial scaling of measurements for parameterization in regional assessments. Global Change Biology, 12, 516523.
  • Post, J., Hattermann, F.F., Krysanova, V. & Suckow, F. 2008. Parameter and input data uncertainty estimation for the assessment of long-term soil organic carbon dynamics. Environmental Modelling & Software, 23(2), 125134.
  • Poussart, J.-N., Ardö, J. & Olsson, L. 2004. Verification of soil carbon sequestration: sample requirements. Environmental Management, 33(suppl. 1), S416S425.
  • Rice, J.A. 1995. Mathematical Statistics and Data Analysis - Second Edition. pages 149153. Duxbury Press, Berkeley, CA.
  • Robertson, G.P., Crum, J.R. & Ellis, B.G. 1993. The spatial variability of soil resources following long-term disturbance. Oecologia, 96, 451456.
  • Rubinstein, R.Y. 1981. Simulation and the Monte Carlo Method. Wiley, New York.
  • Saby, N.P.A., Bellamy, P.H., Morvan, X., Arrouays, D., Jones, R.J.A., Verheijen, F.G.A., et al. 2008. Will European soil-monitoring networks be able to detect changes in topsoil organic carbon content? Global Change Biology, 14, 24322442.
  • Schwager, S.J. & Mikhailova, E.A. 2002. Estimating variability in soil organic carbon storage using the method of statistical differentials. Soil Science, 167, 194200.
  • Sleutel, S., De Neve, S., Beheydt, D., Li, C. & Hofman G. 2006. Regional simulation of long-term organic carbon stock changes in cropland soils using the DNDC model: 1. Large-scale model validation against a spatially explicit data set. Soil Use & Management, 22, 342351.
  • Sleutel, S., De Neve, S., Hofman, G., Boeckx, P., Beheydt, D., Van Cleemput, O., et al. 2003. Carbon stock changes and carbon sequestration potential of Flemish cropland soils. Global Change Biology, 9, 11931203.
  • Smith, P. 2004. How long before a change in soil organic carbon can be detected? Global Change Biology, 10, 18781883.
  • Soil Survey Staff, U. 1951. Soil Survey Manual - U.S. Dept. Agriculture Handbook No. 18. U.S. Department of Agriculture, Washington, D.C.
  • Sokal, R.R. & Rohlf, R.J. 1995. Biometry: the principles and practice of statistics in biological research. Third Edition. Freeman W.H. & Company, New York.
  • Soon, Y.K. & Abboud, S. 1991. A comparison of some methods for soil organic carbon determination. Communications in Soil Science & Plant Analysis, 22, 943954.
  • Sutherland, R.A. 1998. Loss-on-ignition estimates of organic matter and relationships to organic carbon in fluvial sediments Hydrobiologia, 389, 153167.
  • VandenBygaart, A.J., Gregorich, E.G., Angers, D.A. & Stoklas, U.F. 2004. Uncertainty analysis of soil organic carbon stock change in Canadian cropland from 1991 to 2001. Global Change Biology, 10, 983994.
  • Walkley, A. & Black, I.A. 1934. An examination of the Djegtareff method for determining soil organic matter and a proposed modification of the chromic acid titration method. Soil Science, 37, 2938.
  • Wang, X.J., Smethurst, P.J. & Herbert, A.M. 1996. Relationships between three measures of organic matter or carbon in soils of eucalypt plantations in Tasmania. Australian Journal of Soil Science, 34, 545553.
  • Weisstein, E.W. (1999). Error Propagation - From MathWorld - A Wolfram Web Resource [WWW document]. URL http://mathworld.wolfram.com/ErrorPropagation.html [accessed December 2007]
  • Wells, D.E. & Krakiwsky, E.J. 1971. The method of least squares - Lecture notes 18. Department of Surveying Engineering, University of New Brunswick, Fredericton, N.B., Canada.
  • Wilding, L.P., Drees, L.R. & Nordt, L.C. 2000. Spatial variability: enhancing the mean estimate of organic and inorganic carbon in a sampling unit. In Assessment Methods for Soil Carbon. ed. R.Lal, J.M.Kimble, R.F.Follett, & B.A. Stewart, CRC Press LLC, Florida. pp. 6986.
  • Yadav, V. & Malanson G.D. 2008. Spatially explicit historical land use land cover and soil organic carbon transformations in Southern Illinois. Agriculture, Ecosystems & Environment, 123(4), 280292.
  • Zar, J.H. 1999. Biostatistical Analysis - Fourth Edition. Prentice-Hall, New Jersey.
  • Zhang, C. & McGrath, D. 2004. Geostatistical and GIS analyses on soil organic carbon concentrations in grassland of southeastern Ireland drom two different periods. Geoderma, 119, 261275.
  • Zirlewagen, D., Raben, G. & Weise M. 2007. Zoning of forest health conditions based on a set of soil, topographic and vegetation parameters. Forest Ecology & Management, 248, 4355.