1995
DOI: 10.1007/bf00477253
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Uncertainty in predicting weathering rate and environmental stress factors with the profile model

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Cited by 60 publications
(39 citation statements)
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“…Zak et al (1997) showed that the calculated WR rate from PROFILE was mostly sensitive to soil mineralogy and other physical parameters (soil moisture content, exposed mineral surface area, and soil bulk density). According to Jönsson et al (1995), the uncertainty associated with the PROFILE estimation of WR for three Podzols (similar to this study) was ±40%. Most methods for WR determination are accurate at approximately ±50% according to Hodson and Langan (1999b).…”
Section: Uncertainties Associated With Wr Estimationsupporting
confidence: 79%
See 1 more Smart Citation
“…Zak et al (1997) showed that the calculated WR rate from PROFILE was mostly sensitive to soil mineralogy and other physical parameters (soil moisture content, exposed mineral surface area, and soil bulk density). According to Jönsson et al (1995), the uncertainty associated with the PROFILE estimation of WR for three Podzols (similar to this study) was ±40%. Most methods for WR determination are accurate at approximately ±50% according to Hodson and Langan (1999b).…”
Section: Uncertainties Associated With Wr Estimationsupporting
confidence: 79%
“…The use of only one soil profile, albeit representative, for WR calculations with the PMB and PROFILE methods made it difficult to compare our analyses with other multiple sampling (CT) or watershed-scaled (IOB, CLT, MAGIC) methods. The accuracy of WR rates obtained with the PROFILE model has been widely studied (Jönsson et al 1995;Hodson et al 1996Hodson et al , 1997Zak et al 1997). In the case of the PMB method, a sensitivity analysis was performed on the main variables used to calculate WR BC (Ti and BC content, horizon thickness, bulk density, and time since deglaciation) of the representative soil profiles.…”
Section: Statistical and Sensitivity Analysesmentioning
confidence: 99%
“…These input variables have significant impacts on the model output because they determine the amount and type of weatherable surfaces available as well as the kinetics of the weathering reactions. Previous comparisons of the model's performance with independent estimations of weathering showed that the error associated with simulated WRs was below 40% for three Nordic sites in Sweden (Jönsson et al, 1995). Ouimet and Duchesne (2005) also compared different approaches for estimating WRs and concluded that PROFILE values were relatively similar with the values obtained with other approaches for three watersheds in the province of Quebec.…”
Section: Houle Et Al: Soil Weathering Rates In 21 Catchments Of Tmentioning
confidence: 92%
“…Other model inputs included, annual precipitation amounts and yearly averages of soil moisture content and temperature. Specific surface area was calculated from an algorithm developed by Jönsson et al (1995) from measured grain size distribution, dry bulk density, and coarse fragments. Partial pressure of CO 2 was estimated following the values used in Warfinge and .…”
Section: Simulation Of Weathering Rates With Profilementioning
confidence: 99%
“…For forest soil ecosystems, there is a most substantial uncertainty in the available data on A1 toxicity to trees (Abrahamsen, 1984;Asher, 1987;Berd6n et al, 1987;Boxman et al, 1988;Bossel et al, 1985;Ryan et al, 1986a, b;McCormac and Steiner, 1978;Steiner et al, 1978, Joslin and Wolfe, 1988, 1989Keltjens and van Loenen, 1989;Schulze et al, 1985;Smit et al, 1987;Sverdrup and Warfvinge, 1993;Ulrich et al, 1984;Huetterman and Ulrich, 1984). The general consensus is that a (Ca + Mg + K)/A1 molar ratio less than 1.0 may inhibit plant growth.…”
Section: Setting Chemical Criteria For Different Ecosystemsmentioning
confidence: 96%