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Probabilistic Approach to the Identification of Input Variables to Estimate Hydraulic Conductivity

^a Macaulay Land Use Research Institute, Craigiebuckler, Aberdeen AB15 8QH, Scotland, UK
^b Univ. of Maryland, Dep. of Plant Science and Landscape Architecture, 2102 Plant Science Building, College Park, MD 20742
^c USDA-ARS Crop Systems and Global Change Lab., 10300 Baltimore Ave., Bldg. 001, BARC-West, Beltsville, MD 20705
^d USDA-ARS Hydrology and Remote Sensing Lab., 10300 Baltimore Ave., Bldg. 007, BARC-West, Beltsville, MD 20705
^e USDA-ARS Environmental Microbial Safety Lab., Powder Mill Rd., Bldg. 173, BARC-East, Beltsville, MD 20705

View larger version (20K): [in this window] [in a new window]   Fig. 1. Tree structure of the most likely tree model using topsoil or subsoil distinction, texture, and ped size classification.

View larger version (16K): [in this window] [in a new window]   Fig. 2. Tree structure of the most likely tree model using topsoilor subsoil distinction and ped size classification.

View larger version (14K): [in this window] [in a new window]   Fig. 3. Tree structure, the mean estimates, and their standard deviations using the most likely tree model using topsoil or subsoil distinction and textural classification.