Abstract
A Regional Soil Acidification Model (RESAM) has been developed to gain insight in long-term impacts of deposition scenarios on forest soils in The Netherlands. Model predictions of such large-scale environmental effects of acid deposition require extrapolation of site specific data to large geographical regions. The major aim of this study is to quantify the uncertainty in model response to a given deposition scenario, due to uncertainty and spatial variability in data. Furthermore, the uncertainty analysis was performed to determine which additional data will most likely improve the reliability of predictions. An efficient Monte Carlo technique was used in combination with regression analysis. The analysis was restricted to one forest soil ecosystem: a leptic podzol with Douglas fir, subject to a reducing deposition scenario. The investigated output variables were pH, Al/Ca ratio and NH4/K ratio in the root zone, which are generally used as indicators of forest soil acidification and of potential forest damage. Statistical analyses showed that in most cases the relation between the parameters and model output can be satisfactorily described by a linear regression model. The uncertainty contribution of various parameters depends on the considered output variable, soil compartment and time. The uncertainty, as measured by the coefficient of variation, appears to be high for the NH4/K and Al/Ca ratios, whereas it was relatively low for the pH. Results show that the uncertainty in the depositions of SOx, NOx, and NHx in a receptor area and the uncertainty in the parameters and variables determining the nitrogen and aluminium dynamics contribute most to the resulting uncertainty of the considered model output.
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References
Alcamo, J. and Bartnicki, J.: 1987, Atmospheric Environment 21, 2121.
Arp, P. A.: 1983, Ecol. Modelling 19, 105
Beck, M. B. and Van Staten, G.: 1983, Uncertainty and Forecasting of Water Quality. Springer-Verlag, Berlin, Heidelberg.
Bloom, P. R. and Grigal, D. F.: 1985, J. Environ. Qual. 14, 489.
Boxman, A. W., Van Dijk, H. F. G., Houdijk, A., and Roelofs J. G. M.: 1988, ‘Critical Loads for Nitrogen with Special Emphasis on Ammonium’, in Critical Loads for Sulphur and Nitrogen, Background documents for a Nordic IUN-ECE workshop on Critical loads, Skokloster.
Bredemeier, M.: 1988, Water, Air, and Soil Pollut. 40, 121.
Chen, C. W., Gherini, S. A., Mok, L., Hudson, R. J. M., and Goldstein, R. A.: 1983, The Integrated Lake-Watershed Acidification Study Volume 1: Model Principes and Application Procedures, EPRI EA 3221, Volume 1, Project 1109-5, Final report.
Cosby, B. J., Hornberger, G. M., Galloway, J. N., and Wright, R. F.: 1985, Water Resour. Res. 21, 51.
Dale, V. H., Jager, H. I., Gardner R. H., and Rosen, A. E.: 1988, Ecol. Modeling, 42, 165.
De Vries, W.: 1988, Water, Air, and Soil Pollut. 42, 221.
De Vries, W.: 1990, ‘Philosophy, Structure and Application Methodology of a Soil Acidification Model for the Netherlands’, in J. Kämäri (ed.), Impact Models to Assess Regional Acidification, Kluwer Academic Publishers, Dordrecht, The Netherlands, pp. 2–21.
De Vries, W. and Breeuwsma, A.: 1986, Water, Air, and Soil Pollut. 28, 173.
De Vries, W. and Kros, J.: 1989, ‘The Long-Term Impact of Acid Deposition on the Aluminium Chemistry of an Acid Forest Soil’, in Kämäri, J., Brakke, D. F., Jenkins, A., Norton, S. A., and Wright, R. F. (eds.), Regional Acidification Models, Springer-Verlag, Berlin, Heidelberg, pp. 113–128.
Downing, D. J., Gardner, R. H., and Hoffman, H. O. F.: 1985, Technometrics 27, 151.
Draper, N. R. and Smith, H.: 1981, Applied Regression Analysis, John Wiley & Sons, Inc. second edition.
Grier, C. C., Vogt, K. A., Keyes, M. R., and Edmonds, R. L.: 1981, Can. J. For. Res. 11, 155.
Gardner, R. H., Röjder, B., and Bergström, U.: 1983, PRISM: A Systematic Method for Determining the Effect of Parameter Uncertainties on Model Prediction, Studsvik Energiteknik AB, Report Studsvik/ NW-83/555, Nykoping, Sweden.
Hettelingh, J. P.: 1990, Uncertainty in Modeling Regional Environmental Systems: The Generalization of a Watershed Acidification Model for Predicting Broad Scale Effects, Ph. D. Thesis, Free University, Amsterdam; RR-90-3, International Institute for Applied Systems Analysis, Laxenburg, Austria.
Hornberger, G. M., Cosby, B. J., and Galloway, J. N.: 1986, Water Resour. Res. 22, 1293.
Houdijk, A. L. F. M.: 1990, Effecten van zwavelen stikstofdepositie op bosen heidevegetaties, Nijmegen, KU, Vakgroep voor Aquatische Oecologie en Biogeologie.
Iman, R. L. and Conover, W. J.: 1980, Commun. Statist.-Theor. Meth., A9, 1749.
Iman, R. L. and Helton, J. H.: 1985, A Comparison of Uncertainty and Sensitivity Analysis Techniques for Computer Models, NUREGICR-3904, SAND 84-1461, Snadi National Laboraties, Albuquerque, New Mexico.
Iman, R. L. and Helton, J. H.: 1988, Risk Analysis 8, 71.
Iman, R. J., Helton, J. C., and Campbell, J. E.: 1981, Journal of Quality Technology 13, 174.
Ivens, W. P. M. F., Draayers, G. P. J., Bos M. M., and Bleuten, W.: 1988, Dutch Forests as Air Pollutant Sinks in Agricultural Areas. A Case Study in the Central Part of the Netherlands on the Spatial and Temporal Variability of Atmospheric Deposition to Forest, Dutch priority programme on Acidification, Report 37-09, Bilthoven.
Janssen, P. H. M., Rotmans, J., and Slob, W.: 1990, Gevoeligheidsanalyse en onzekerheidsanalyse: een inventarisatie van ideeën, methodes en technieken, RIVM rapport 958805001, Bilthoven.
Jenkins, A., Kämäri, J., Norton, S. A., Whitehead, P., Cosby B. J., and Brakke, D. F.: 1989, ‘Models to describe the Geographic Extent and Time Evolution of Acidification and Air Pollution Damage’, in Kämäri, J., Brakke, D. F., Jenkins, A., Norton S. A., and Wright, R. F. (eds.), Regional Acidification Models, Springer-Verlag, Berlin, Heidelberg, pp. 113–128.
Johnson, D. W. and Todd, D. E.: 1983, Soil Sci. Soc. Am. J. 47: 792.
Kämäri, J., Posch, M., Gardner, R. H., and Hettelingh, J. P.: 1986, A Model for Analyzing Lake Water Acidification on a Regional Scale, Part 2: Regional Application, International Institute for Applied Systems Analysis, Working Paper, WP-86-66, Laxenburg, Austria.
Kimmins, J. P., Brinkley, D., Chatapaul, L., and De Catanzaro, L.: 1985, Biochemistry of Temperate Forest Ecosystems: Literature on Inventories and Dynamics of Biomass and Nutrients. Petawawa National Forest Institute. Information Report PI-X-47E/f.
Kleijn, C. E., Zuidema, G., and De Vries, W.: 1989, De indirecte effecten van atmosferische depositie op de vitaliteit van Nederlandse bossen. 2. Depositie, bodemeigenschappen en bodemvochtsamenstelling van acht Douglas-opstanden. Stiboka rapport 2050, Wageningen.
Kleijnen, J. P. C.: 1987, Statistical Tools for Simulation Pracitioners, Dekker, New York.
Kros, J., De Vries, W. and Van de Salm, C.: Modeldocumentation of RESAM: a Regional Soil Acidification Model, The Winand Staring Centre Report, Wageningen (in prep.).
Levine, E. R. and Ciolkosz, E. J.: 1988, Soil Sci. Soc. Am. J. 52, 209.
Lindsay, W. L.: 1979, Chemical Equilibria in Soils, John Wiley and Sons, New York.
May, H. M., Helmke P. A., and Jackson, M. L.: 1979, Cheochem. Cosmochim. Acta. 43, 239.
McKay, M. A., Beckmann R. J., and Conover, W. J.: 1979, Technometrics 21, 239.
Olsthoorn, T. N., Jaarsveld, J. A., Knoop, J. M., Van Egmond, N. D., Mülschlegel, J. H. C., and Van Duijvenbooden, W.: 1990, ‘Integrated Modeling in the Netherlands’, in Fenhann, J., Larsen, H., Mackenzie, G. A., and Rasmussen, B. (eds.), Environmental Models: Emissions and Consequences, Elsevier Science Publishers b.v., Amsterdam, pp. 461–479.
Oterdoorn, H. L., Olsthoorn, A. F., Postma, R., and De Vries, W.: 1991, De indirecte effecten van atmospferische depositie op de vitaliteit van Nederlandse bossen. 5. Vitaliteitskenmerken, naaldsamenstelling, fijne wortels en groei van acht Douglasopstanden, Rapport 18.02, Instituut voor Bosbouw en Groenbeheer ‘De Dorschkamp’, Wageningen.
Persson, H.: 1983, Plant and Soil 71, 87.
Reuss, J. O. and Johnson, D.W.: 1986, Acid Deposition and the Acidification of Soils and Waters, Ecological Studies 59, Springer-Verlag, Berlin, Heidelberg.
Roelofs, J. G. M., Kempers, A. J., Houdijk, A. L. F. M., and Jansen, J.: 1985, Plant and Soil 84, 45.
Rotmans, J., Vrieze, O. J., Peek G. H. J. C., and Veraart, W. N. G. M.: 1988, Experimenteel ontwerp ten behoeve van metamodellering van een CO2 simulatie-model, RIVM rapport 7585471003, Bilthoven.
Santantonio, D. and Hermann, R. K.: 1985, Ann. Sci. For. 2, 113.
Schneider, T. and Bresser, A. H. M.: 1988, Evaluatierapport verzuring, Dutch Priority Programme on Acidification, Report 00-06, Bilthoven.
Tiktak, A., Konsten, C. J. M., Van der Maas, R., and Bouten, W.: 1988, Soil Chemistry and Physic of two Douglas Fir Stands Affected by Acid Atmospheric Deposition on the Veluwe, The Netherlands, Dutch priority programme on Acidification, Report 03-01.
Ulrich, B. and Matzner, E.: 1983, Abiotische Folgewirkungen der weitraumigen Ausbreitung von Luftverunreinigung, Umweltforschungsplan der Bundesministers der Innern. Forschungsbericht 1002615, BRD.
Van den Burg, J., Evers, P. W., Martakis, G. F. P., Relou, J. P. M., and Van der Werf, D. C.: 1988, Miljø rapport 1988: 15, Nordic Councel of Ministers, Copenhagen, pp. 295.
Van den Burg, J. and Kiewiet, H. P.: 1989, Veebezetting en de naaldsamenstelling van grove den, Douglas en Corsicaanse den in het Peelgebied in de periode 1956 t/m 1988. Een onderzoek naar de betekenis van de veebezetting voor het optreden van bosschade, Rapport 559, Instituut voor Bosbouw en Groenbeheer, ‘De Dorschkamp’, Wageningen.
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Kros, J., De Vries, W., Janssen, P.H.M. et al. The uncertainty in forecasting trends of forest soil acidification. Water Air Soil Pollut 66, 29–58 (1993). https://doi.org/10.1007/BF00477059
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DOI: https://doi.org/10.1007/BF00477059