Abstract
Different soil acidification models have been developed for use on different scales, i.e. NUCSAM for the local scale, RESAM for the regional (national) scale and SMART for the continental scale. This paper focuses on the uncertainties associated with scale transfer by a simpler model description by (i) temporal aggregation of process descriptions, (ii) neglection of processes associated with vertical aggregation of soil layers and (iii) the use of less detailed formulations of processes (process aggregation) and by spatial aggregation of input data. Results obtained for simulations in acid (sandy) soils indicate that (i) temporal aggregation and process aggregation have a limited impact on the long-term (decades) annual response of soil solution chemistry to atmospheric deposition, (ii) vertical aggregation mainly affects predictions of solutes which show a strong concentration gradient with depth and (iii) spatial aggregation hardly affects the average output for a given forest/soil combination. However, ignoring the variability in input parameters, largely affects the frequency distribution of model outputs in a region. Results imply that model simplification is an adequate step in the upscaling of modelling results from a local to a regional scale.
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De Vries, W., 1994. Soil response to acid deposition at different regional scales. Field and laboratory data, critical loads and model predictions. Wageningen, the Netherlands, Agricultural University, Ph.D. Thesis, 487 pp.
De Vries, W., Posch, M. and Kömöri, J. (1989). Simulation of the long–term soil response to acid deposition in various buffer ranges. Water Air and Soil Poll. 48: 349–390.
De Vries, W., Kros, J. and Van der Salm, C. (1994). The long–term impact of three emission–deposition scenarios on Dutch forest soils. Water Air and Soil Poll. 75: 1–35.
De Vries, W., Posch M., Reinds, G.J., and Kömöri, J. (1994). Simulation of soil response to acidic deposition scenarios in Europe. Water Air and Soil Poll. 78: 215–246.
De Vries, W., Kros, J. and Van der Salm, C. (1995). Modelling the impact of acid deposition and nutrient cycling in forest soils. Ecological Modelling 79: 231–254.
Groenenberg, J.E., Kros, J., Van der Salm, C. and De Vries, W. (1995). Application of the model NUCSAM to the Solling spruce site. Ecological Modelling 83: 97–107.
Hoosbeek M.R. and Bryant. R. (1992). Towards the quantitative modelling of pedogenesis–A review. Geoderma 55: 183–210.
Kros, J., DeVries W., Janssen P. and Bak, C. (1993). The uncertainty in forecasting regional trends of forest soil acidifica–tion. Water Air and Soil Poll. 66: 29–58.
Kros, J., Groenenberg, J.E., De Vries, W. and Van der Salm, C. (1995). Uncertainties in long–term predictions of forest soil acidification due to neglecting seasonal variability. Water, Air and Soil Poll. 79: 353–375.
Kros, J., Reinds, G.J., De Vries, W., Latour, J.B. and Bollen, M. (1995). Modelling of soil acidity and nitrogen availability in natural ecosystems in response to changes in acid deposition and hydrology. DLO Winand Staring Centre Report, 95, 90pp.
Reinds, G.J., De Vries, W., and Kros, J. (1996). The uncertainty in predicting trends in forest soil acidification on due to the regional variability in soil properties and acid deposition. Wageningen, the Netherlands, DLO Winand Staring Centre for Integrated Land, Soil and Water Research, Report 111.
Van der Salm, C., Kros, J., Groenenberg, J.E., De Vries, W. and Reinds, G.J. (1995). Validation of soil acidification models with different degrees of process aggregation on an intensively monitored spruce site. In: S. Trudgill (Ed.): Solute modelling in catchment systems: 327–346.
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de Vries, W., Kros, J., van der Salm, C. et al. The use of upscaling procedures in the application of soil acidification models at different spatial scales. Nutrient Cycling in Agroecosystems 50, 223–236 (1998). https://doi.org/10.1023/A:1009744429062
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DOI: https://doi.org/10.1023/A:1009744429062