HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH TABLE OF CONTENTS		QUICK SEARCH:   [advanced] Author: Keyword(s): Year:  Vol:  Page:

This Article Abstract Full Text Free Full Text (PDF) Free Alert me when this article is cited Alert me if a correction is posted Services Similar articles in this journal Similar articles in ISI Web of Science Alert me to new issues of the journal Download to citation manager Citing Articles Citing Articles via HighWire Citing Articles via ISI Web of Science (7) Citing Articles via Google Scholar Google Scholar Articles by Mecke, M. Articles by Ilvesniemi, H. Search for Related Content PubMed Articles by Mecke, M. Articles by Ilvesniemi, H. GeoRef GeoRef Citation Agricola Articles by Mecke, M. Articles by Ilvesniemi, H.

Prediction of Near-Saturated Hydraulic Conductivity in Three Podzolic Boreal Forest Soils

Dep. of Forest Ecology, Univ. of Helsinki, P.O. Box 24, FIN-00014, Helsinki, Finland

View larger version (18K): [in a new window]   Fig. 1 The coefficient of the exponential K() relationship, , plotted against the coarse textural fraction. The eluvial horizon measurements and the measurements of Site 3a are excluded

View larger version (39K): [in a new window]   Fig. 2 Near-saturated hydraulic conductivity K(-0.35) as predicted by Model 1, when all four horizons are included: (a) Model 1a, all four predictor variables are used; (b) Model 1b, only the best predictor variable is used. For example, regression equation of Model 1a is , where a, b, c, d, and e are the constants given by Table 4

View larger version (38K): [in a new window]   Fig. 3 Near-saturated hydraulic conductivity K(-0.35) as predicted by Model 2, when all horizons except upper illuvial horizon are included: (a) Model 2a, all four predictor variables are used, (b) Model 2b, only the best predictor variable is used

View larger version (32K): [in a new window]   Fig. 4 Near-saturated hydraulic conductivity K(-0.35) as predicted by Model 3, when only the parent soil measurements are included: (a) Model 3a, all four predictor variables are used, (b) Model 3b, only the best predictor variable is used