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

J. Kros; J.E. Groenenberg; W. de Vries; C. van der Salm

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

J. Kros, J.E. Groenenberg, W. de Vries, C. van der Salm

Research output: Chapter in Book/Report/Conference proceeding › Conference paper › Academic

Abstract

Soil and soil solution responses simulated with a site-scale soil acidification model (NUCSAM) were compared with results of a regional one (RESAM). RESAM is a multi-layer model with a temporal resolution of one year. NUCSAM also takes account of seasonal variability, since it simulates solute transport and biogeochemical processes on a daily basis. Uncertainty caused by neglecting seasonal variability in long-term predictions was investigated by comparing long-term RESAM and NUCSAM simulations. Although the seasonal and interannual variations in soil solution parameters were large, the trends in soil solution parameters corresponded quite well. Generally, the uncertainty due to time resolution in long-term predictions was relatively small.

Original language	English
Title of host publication	Scenario studies for the rural environment : selected and edited proceedings of the symposium scenario studies for the rural environment, Wageningen, The Netherlands, 12 - 15 September 1994
Editors	J.T.H. Schoute, P.A. Finke, F.R. Veeneklaas
Pages	287-291
Publication status	Published - 1995

Keywords

forest damage
acid rain
models
research
geostatistics

Cite this

Kros, J., Groenenberg, J. E., de Vries, W., & van der Salm, C. (1995). Uncertainty in long-term predictions of forest soil acidification due to neglecting seasonal variability. In J. T. H. Schoute, P. A. Finke, & F. R. Veeneklaas (Eds.), Scenario studies for the rural environment : selected and edited proceedings of the symposium scenario studies for the rural environment, Wageningen, The Netherlands, 12 - 15 September 1994 (pp. 287-291)

Kros, J. ; Groenenberg, J.E. ; de Vries, W. et al. / Uncertainty in long-term predictions of forest soil acidification due to neglecting seasonal variability. Scenario studies for the rural environment : selected and edited proceedings of the symposium scenario studies for the rural environment, Wageningen, The Netherlands, 12 - 15 September 1994. editor / J.T.H. Schoute ; P.A. Finke ; F.R. Veeneklaas. 1995. pp. 287-291

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title = "Uncertainty in long-term predictions of forest soil acidification due to neglecting seasonal variability",

abstract = "Soil and soil solution responses simulated with a site-scale soil acidification model (NUCSAM) were compared with results of a regional one (RESAM). RESAM is a multi-layer model with a temporal resolution of one year. NUCSAM also takes account of seasonal variability, since it simulates solute transport and biogeochemical processes on a daily basis. Uncertainty caused by neglecting seasonal variability in long-term predictions was investigated by comparing long-term RESAM and NUCSAM simulations. Although the seasonal and interannual variations in soil solution parameters were large, the trends in soil solution parameters corresponded quite well. Generally, the uncertainty due to time resolution in long-term predictions was relatively small.",

keywords = "bosschade, zure regen, modellen, onderzoek, geostatistiek, forest damage, acid rain, models, research, geostatistics",

author = "J. Kros and J.E. Groenenberg and {de Vries}, W. and {van der Salm}, C.",

year = "1995",

language = "English",

isbn = "9780792337485",

pages = "287--291",

editor = "J.T.H. Schoute and P.A. Finke and F.R. Veeneklaas",

booktitle = "Scenario studies for the rural environment : selected and edited proceedings of the symposium scenario studies for the rural environment, Wageningen, The Netherlands, 12 - 15 September 1994",

}

Kros, J , Groenenberg, JE , de Vries, W & van der Salm, C 1995, Uncertainty in long-term predictions of forest soil acidification due to neglecting seasonal variability. in JTH Schoute, PA Finke & FR Veeneklaas (eds), Scenario studies for the rural environment : selected and edited proceedings of the symposium scenario studies for the rural environment, Wageningen, The Netherlands, 12 - 15 September 1994. pp. 287-291.

Uncertainty in long-term predictions of forest soil acidification due to neglecting seasonal variability. / Kros, J.; Groenenberg, J.E.; de Vries, W. et al.
Scenario studies for the rural environment : selected and edited proceedings of the symposium scenario studies for the rural environment, Wageningen, The Netherlands, 12 - 15 September 1994. ed. / J.T.H. Schoute; P.A. Finke; F.R. Veeneklaas. 1995. p. 287-291.

Research output: Chapter in Book/Report/Conference proceeding › Conference paper › Academic

TY - GEN

T1 - Uncertainty in long-term predictions of forest soil acidification due to neglecting seasonal variability

AU - Kros, J.

AU - Groenenberg, J.E.

AU - de Vries, W.

AU - van der Salm, C.

PY - 1995

Y1 - 1995

N2 - Soil and soil solution responses simulated with a site-scale soil acidification model (NUCSAM) were compared with results of a regional one (RESAM). RESAM is a multi-layer model with a temporal resolution of one year. NUCSAM also takes account of seasonal variability, since it simulates solute transport and biogeochemical processes on a daily basis. Uncertainty caused by neglecting seasonal variability in long-term predictions was investigated by comparing long-term RESAM and NUCSAM simulations. Although the seasonal and interannual variations in soil solution parameters were large, the trends in soil solution parameters corresponded quite well. Generally, the uncertainty due to time resolution in long-term predictions was relatively small.

AB - Soil and soil solution responses simulated with a site-scale soil acidification model (NUCSAM) were compared with results of a regional one (RESAM). RESAM is a multi-layer model with a temporal resolution of one year. NUCSAM also takes account of seasonal variability, since it simulates solute transport and biogeochemical processes on a daily basis. Uncertainty caused by neglecting seasonal variability in long-term predictions was investigated by comparing long-term RESAM and NUCSAM simulations. Although the seasonal and interannual variations in soil solution parameters were large, the trends in soil solution parameters corresponded quite well. Generally, the uncertainty due to time resolution in long-term predictions was relatively small.

KW - bosschade

KW - zure regen

KW - modellen

KW - onderzoek

KW - geostatistiek

KW - forest damage

KW - acid rain

KW - models

KW - research

KW - geostatistics

M3 - Conference paper

SN - 9780792337485

SP - 287

EP - 291

BT - Scenario studies for the rural environment : selected and edited proceedings of the symposium scenario studies for the rural environment, Wageningen, The Netherlands, 12 - 15 September 1994

A2 - Schoute, J.T.H.

A2 - Finke, P.A.

A2 - Veeneklaas, F.R.

ER -

Kros J , Groenenberg JE , de Vries W, van der Salm C. Uncertainty in long-term predictions of forest soil acidification due to neglecting seasonal variability. In Schoute JTH, Finke PA, Veeneklaas FR, editors, Scenario studies for the rural environment : selected and edited proceedings of the symposium scenario studies for the rural environment, Wageningen, The Netherlands, 12 - 15 September 1994. 1995. p. 287-291

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

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Keywords

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