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Distribution of Microorganisms and their Activities in Capillary Barriers

Implications for Modeling of Hydrologic Transport through Capillary Barriers

^a Department of Biotechnology, Idaho National Engineering and Environmental Laboratory, P.O. Box 1625 Idaho Falls, ID 83415
^b Geosciences, Idaho National Engineering and Environmental Laboratory, P.O. Box 1625 Idaho Falls, ID 83415
^c USDA-ARS, Northern Grain Insects Research Lab., 2923 Medary Ave., Brookings, SD

View larger version (30K): [in a new window]   Fig. 1. Composite figure showing parameter values (total bacteria cells, respiration of 14C-labeled glucose, CO2, moisture content, soil porosity, and saturated hydraulic conductivity) plotted against depth for the barriers at the Engineered Barrier Testing Facility. Thick barrier data denoted with square markers; Capillary barrier denoted with round markers. Data are shown as mean (n = 3 independent replicates) ± one standard deviation except CO2, which reflects a single, unreplicated sample at each depth.

View larger version (28K): [in a new window]   Fig. 2. Composite figure showing parameter values (total bacteria cells, respiration of 14C-labeled glucose, CO2, moisture content, soil porosity, and saturated hydraulic conductivity) plotted against depth for the barriers at Protective Cap/Biobarrier Experiment. Thick barrier data denoted with square markers; shallow capillary barrier denoted with triangular markers; deep capillary barrier denoted with round markers. Data are shown as mean (n = 3 independent replicates) ± one standard deviation except CO2, which reflects a single, unreplicated sample at each depth.