Uncertainties in long-term predictions of forest soil acidification due to neglecting seasonal variability

    Research output: Chapter in Book/Report/Conference proceedingChapter

    Abstract

    Soil and soil solution response simulated with a site-scale soil acidification model (NUCSAM) was compared with results obtained by a regional soil acidification model (RESAM). Uncertainties due to neglecting seasonal variability in long-term predictions were investigated by comparing long-term RESAM and NUCSAM simulations. Although both the seasonal and the interannual variations in soil solution parameters were large, the trend in soil solution parameters of RESAM and NUCSAM corresponded quite well. Generally, it appeared that the uncertainty due to time resolution in long-term predictions was relatively small.
    Original languageUndefined/Unknown
    Title of host publicationBiogeochemical monitoring in small catchments
    EditorsJ. Cerny, M. Novák, T. Paces, R.K. Wieder
    Pages353-375
    Publication statusPublished - 1995

    Cite this

    Kros, J., Groenenberg, J. E., de Vries, W., & van der Salm, C. (1995). Uncertainties in long-term predictions of forest soil acidification due to neglecting seasonal variability. In J. Cerny, M. Novák, T. Paces, & R. K. Wieder (Eds.), Biogeochemical monitoring in small catchments (pp. 353-375)