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Data Voytek et al. (2019). Transpiration- and precipitation-induced subsurface water flow observed using the self-potential method
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| Type: | Resource | |
| Storage: | The size of this resource is 9.7 MB | |
| Created: | Jun 18, 2023 at 3:17 p.m. | |
| Last updated: | Jan 03, 2024 at 3:10 p.m. (Metadata update) | |
| Published date: | Jan 03, 2024 at 3:10 p.m. | |
| DOI: | 10.4211/hs.73281b72562e437285f75b1e4d1ce186 | |
| Citation: | See how to cite this resource |
| Sharing Status: | Published |
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| Views: | 590 |
| Downloads: | 1 |
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Abstract
Movement of soil moisture associated with tree root-water uptake is ecologically important but technically challenging to measure. Here, the self-potential (SP) method, a passive electrical geophysical method, is used to characterize water flow in situ. Unlike tensiometers, which use a measurement of state (i.e., matric pressure) at two locations to infer fluid flow, the SP method directly measures signals generated by water movement. We collected SP measurements in a two-dimensional array at the base of a Douglas-fir tree (Pseudotsuga menziesii) in the H.J. Andrews Experimental Forest in western Oregon over 5 months to provide insight on the propagation of transpiration signals into the subsurface under variable soil moisture. During dry conditions, SP data appear to show downward unsaturated flow, whereas nearby tensiometer data appear to suggest upward flow during this period. After the trees enter dormancy in the fall, precipitation-induced vertical flow dominates in the SP and tensiometer data. Diel variations in SP data correspond to periods of tree transpiration. Changes in volumetric water content occurring from soil moisture movement during transpiration are not large enough to appear in volumetric water content data. Fluid flow and electrokinetic coupling (i.e., electrical potential distribution) were simulated using COMSOL Multiphysics to explore the system controls on field data. The coupled model, which included a root-water uptake term, reproduced components of both the long-term and diel variations in SP measurements, thus indicating that SP has potential to provide spatially and temporally dense measurements of transpiration-induced changes in water flow. This manuscript presents the first SP measurements focusing on the movement of soil moisture in response to tree transpiration.
Subject Keywords
Coverage
Spatial
Temporal
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Related Resources
| This resource is described by | Voytek, E.B., Barnard, H., Jougnot, D., and Singha, K. (2019). Transpiration- and precipitation-induced subsurface water flow observed using the self-potential method. Hydrological Processes, doi: 10.1002/hyp.13453. |
Credits
Funding Agencies
This resource was created using funding from the following sources:
| Agency Name | Award Title | Award Number |
|---|---|---|
| National Science Foundation | EAR-1446161 |
Contributors
People or Organizations that contributed technically, materially, financially, or provided general support for the creation of the resource's content but are not considered authors.
| Name | Organization | Address | Phone | Author Identifiers |
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| Holly R Barnard | University of Colorado at Boulder | Colorado, US | 3037357062 | |
| Damien Jougnot | CNRS |
How to Cite
This resource is shared under the Creative Commons Attribution-NoCommercial CC BY-NC.
http://creativecommons.org/licenses/by-nc/4.0/
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