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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Veröffentlicht in:Water resources research 2022-11, Vol.58 (11), p.n/a
Hauptverfasser: 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.
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container_issue 11
container_start_page
container_title Water resources research
container_volume 58
creator 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.
description 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
doi_str_mv 10.1029/2022WR033181
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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.</creator><creatorcontrib>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.</creatorcontrib><description>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</description><identifier>ISSN: 0043-1397</identifier><identifier>EISSN: 1944-7973</identifier><identifier>DOI: 10.1029/2022WR033181</identifier><language>eng</language><publisher>Washington: John Wiley &amp; Sons, Inc</publisher><subject>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</subject><ispartof>Water resources research, 2022-11, Vol.58 (11), p.n/a</ispartof><rights>2022. 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M.</creatorcontrib><creatorcontrib>Whittington, P.</creatorcontrib><creatorcontrib>Wilkinson, S. L.</creatorcontrib><title>Saturated Hydraulic Conductivity in Northern Peats Inferred From Other Measurements</title><title>Water resources research</title><description>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. 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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. 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L.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Saturated Hydraulic Conductivity in Northern Peats Inferred From Other Measurements</atitle><jtitle>Water resources research</jtitle><date>2022-11</date><risdate>2022</risdate><volume>58</volume><issue>11</issue><epage>n/a</epage><issn>0043-1397</issn><eissn>1944-7973</eissn><abstract>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. 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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
title Saturated Hydraulic Conductivity in Northern Peats Inferred From Other Measurements
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