Saturated Hydraulic Conductivity in Northern Peats Inferred From Other Measurements

In northern peatlands, near‐saturated surface conditions promote valuable ecosystem services such as carbon storage and drinking water provision. Peat saturated hydraulic conductivity (Ksat) plays an important role in maintaining wet surface conditions by moderating drainage and evapotranspiration....

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Bibliographic Details
Published in:	Water resources research Vol. 58; no. 11
Main Authors:	Morris, P. J., Davies, M. L., Baird, A. J., Balliston, N., Bourgault, M.‐A., Clymo, R. S., Fewster, R. E., Furukawa, A. K., Holden, J., Kessel, E., Ketcheson, S. J., Kløve, B., Larocque, M., Marttila, H., Menberu, M. W., Moore, P. A., Price, J. S., Ronkanen, A.‐K., Rosa, E., Strack, M., Surridge, B. W. J., Waddington, J. M., Whittington, P., Wilkinson, S. L.
Format:	Journal Article
Language:	English
Published:	Washington John Wiley & Sons, Inc 01-11-2022
Subjects:	Bias Bogs Bulk density Carbon capture and storage Carbon sequestration Density Dimensions Drinking water dry bulk density Ecosystem services Evapotranspiration Fens Humification Hydraulic conductivity Hydraulic properties Hydraulics Ksat Modelling Peat Peatlands pedotransfer function Soil properties Spatial variability Spatial variations von Post
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Summary:	In northern peatlands, near‐saturated surface conditions promote valuable ecosystem services such as carbon storage and drinking water provision. Peat saturated hydraulic conductivity (Ksat) plays an important role in maintaining wet surface conditions by moderating drainage and evapotranspiration. Peat Ksat can exhibit intense spatial variability in three dimensions and can change rapidly in response to disturbance. The development of skillful predictive equations for peat Ksat and other hydraulic properties, akin to mineral soil pedotransfer functions, remains a subject of ongoing research. We report a meta‐analysis of 2,507 northern peat samples, from which we developed linear models that predict peat Ksat from other variables, including depth, dry bulk density, von Post score (degree of humification), and categorical information such as surface microform type and peatland trophic type (e.g., bog and fen). Peat Ksat decreases strongly with increasing depth, dry bulk density, and humification; and increases along the trophic gradient from bog to fen peat. Dry bulk density and humification are particularly important predictors and increase model skill greatly; our best model, which includes these variables, has a cross‐validated r2 of 0.75 and little bias. A second model that includes humification but omits dry bulk density, intended for rapid field estimations of Ksat, also performs well (cross‐validated r2 = 0.64). Two additional models that omit several predictors perform less well (cross‐validated r2 ∼ 0.5), and exhibit greater bias, but allow Ksat to be estimated from less comprehensive data. Our models allow improved estimation of peat Ksat from simpler, cheaper measurements. Key Points We report skillful statistical models to estimate saturated hydraulic conductivity in northern peats from simpler measurements Peat dry bulk density and humification (von Post score) are particularly powerful predictors Our models represent an improvement over existing pedotransfer functions for peat saturated hydraulic conductivity
ISSN:	0043-1397 1944-7973
DOI:	10.1029/2022WR033181