Marc Dumont
Colorado School of Mines
Subject Areas: | Hydrogeophysics |
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ABSTRACT:
These data are published in Dumont, M., Takver, X., Jarecke, K., Yilangai, R., Slater, L., Graham, E., Holly, B., Sullivan, P., Singha, K. (Submitted). Self- and Electrodic-Potential Response to Hydrological and Biogeochemical Processes in the Soil-Tree Continuum. Submitted in the New Phytologist
• We explore the potential of passive electrical methods to concurrently track water and biochemical fluxes across the soil–tree continuum.
• We test an electro-hydro-biogeochemical conceptual model using electrical potential monitored within the soil-root-trunk continuum at the H.J. Andrews Experimental Forest, Oregon, USA during the summer of 2023.
• Despite disturbances caused by wildfire smoke, electrical signals revealed strong correlations with daily and seasonal tree transpiration, water uptake, hydraulic redistribution, and soil respiration.
• This study presents a framework for using passive electrical methods as proxies for monitoring forest ecohydrological sustainability.
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Created: Aug. 5, 2025, 9:21 p.m.
Authors: Dumont, Marc
ABSTRACT:
These data are published in Dumont, M., Takver, X., Jarecke, K., Yilangai, R., Slater, L., Graham, E., Holly, B., Sullivan, P., Singha, K. (Submitted). Self- and Electrodic-Potential Response to Hydrological and Biogeochemical Processes in the Soil-Tree Continuum. Submitted in the New Phytologist
• We explore the potential of passive electrical methods to concurrently track water and biochemical fluxes across the soil–tree continuum.
• We test an electro-hydro-biogeochemical conceptual model using electrical potential monitored within the soil-root-trunk continuum at the H.J. Andrews Experimental Forest, Oregon, USA during the summer of 2023.
• Despite disturbances caused by wildfire smoke, electrical signals revealed strong correlations with daily and seasonal tree transpiration, water uptake, hydraulic redistribution, and soil respiration.
• This study presents a framework for using passive electrical methods as proxies for monitoring forest ecohydrological sustainability.