Checking for non-preferred file/folder path names (may take a long time depending on the number of files/folders) ...

Data from Dumont et al. (Submitted), Self- and Electrodic-Potential Response to Hydrological and Biogeochemical Processes in the Soil-Tree Continuum


Authors:
Owners: This resource does not have an owner who is an active HydroShare user. Contact CUAHSI (help@cuahsi.org) for information on this resource.
Type: Resource
Storage: The size of this resource is 3.4 MB
Created: Aug 05, 2025 at 9:21 p.m. (UTC)
Last updated: Dec 18, 2025 at 10:41 a.m. (UTC)
Citation: See how to cite this resource
Content types: Single File Content 
Sharing Status: Public
Views: 540
Downloads: 10
+1 Votes: Be the first one to 
 this.
Comments: No comments (yet)

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.

Subject Keywords

Coverage

Spatial

Coordinate System/Geographic Projection:
WGS 84 EPSG:4326
Coordinate Units:
Decimal degrees
Longitude
-122.2608°
Latitude
44.2173°

Temporal

Start Date:
End Date:

Content

Readme.txt

Overview of information on this Hydroshare page:

Electrodic- and Self-potential (at both the main site and the 4 sites together); soil moisture, temperature and CO2; sap velocity, and meteorological data were collected between July and August 2023, 
as described in the New Phytologist manuscript "Self- and Electrodic-Potential Response to Hydrological and Biogeochemical Processes in the Soil-Tree Continuum".

This work is supported by the Department of Energy grant DE-SC0023312, and the National Science Foundation EAR-2121659. 
H.J. Andrews Experiment forest data and facilities were provided by the H.J. Andrews Experimental Forest and Long-Term Ecological Research (LTER) program, administered cooperatively by Oregon State University, 
the USDA Forest Service Pacific Northwest Research Station, and the Willamette National Forest. This material is based upon work supported by the National Science Foundation under the grant LTER8 DEB-2025755. 

For all files, units are listed in the second line under brackets []. Time format is dd/mm/yyyy hh:mm:ss, for day/month/year hour:minute:second.

In the Content section here, you will find:

1) JGR_Bio-SP_EP.csv & JGR_Bio-4sites.csv: 
 Self Potential (SP) and Electrodic Potential (EP) measured in the main site and at the four sites, respectively. The non-polarizable electrodes use for the reference and the SP measurements are SDEC PMS 9000 electrodes (see https://en.sdec-france.com/unpolarizable-electrodes-for-self-potentials-measurements-pms-9000/).
 The EP electrodes are standard stainless steel screws. The measurements were automatically acquired each 10 minutes by a Campbell CR1000 datalogger (https://www.campbellsci.com/cr1000) in a single-ended mode.

2) JGR_Bio-Sap_Velocity.csv:
Trunk and root sap velocity has been measured using the at-ratio method based on heat-pulse velocity because of its ability to detect slow and reverse flows (Burgess et al., 2001). 
This method is based on temperature monitoring with two sets of thermocouples, one downstream and one upstream of the heating element connected to a CR1000 Campbell datalogger. 
The inner sensor sap velocity was processed to adjust the zero-flow offset using a double regression based on the lowest daily sap velocity over the entire length of the data with a 10-day moving window (Merlin et al., 2020). 
The sap velocity was further corrected using the wood and sap thermal properties using Burgess et al. (2001) equation. 

3) JGR_Bio-Soil_VWC_Temp_CO2.csv:
We installed one Sentek Drill & Drop (Sentek Pty Ltd, Stepney, SA, Australia) soil moisture and temperature sensor, which collected data every 10 cm over 90 cm within 2 m of the monitored tree and the SP electrodes in the soil. 
Soil temperature and volumetric water content (VWC) sensors were installed between June 15th and July 15th, 2023, and all the sensors were reinstalled on July 27th to improve the contact between the sensors and the soil and thus the quality of VWC monitoring. 
The CO2 sensor (GMP252, Vaisala, Helsinki, Finland) was installed 20 cm deep and collected data from July 28th to August 31st. 

4) JGR_Bio-Meteorological_PRIMET.csv:
Data from H.J. Andrews Experiment forest PRIMET station: https://andlter.forestry.oregonstate.edu/data/place.aspx?domain=place&dbcode=MS001&placeid=664. 
Data are available here: https://andrewsforest.oregonstate.edu/sites/default/files/lter/data/weather/portal/PRIMET/data/index.html
The data are extracted from three files below. The date of download is specified between brackets [dd/mm/yyyy]:
  - a] primet_230_a_5min_2023.csv [02/02/2024]: SWI_MEAN_100_0_01, ATMPRESS_INST_430_0_01
  - b] primet_239_a_5min_2023.csv [27/02/2024]: SATVP_MEAN_150_0_04, VAP_MEAN_150_0_04, VPD_MEAN_150_0_04, SATVP_MEAN_450_0_01, VAP_MEAN_450_0_01, VPD_MEAN_450_0_01, AIRTEMP_MEAN_150_0_04, WSPD_PRO_MAX_1000_0_01
  - c] primet_or10_15min_2023.csv [02/02/2024]: PRECIP_TOT_185_0_03
  
The parameters' name have been modified to corresponds to the actually used one [24/11/2025].

The main metadata information are provided below. In addition, metadata (ESA FLED) files are shared in the CUAHSI folder.
Metadata from HJA site:
		 A three-level hydro-climatological network for data monitoring was established 
         in 1994. The networks at each level are nested to form a coordinated program of data 
         acquisition and measurement. A future vision of linking the benchmark meteorological 
         stations with regional weather stations to expand the future scope of studies was also 
         considered in designing this network. The first-level in this top-down approach consists 
         of Benchmark Meteorological Stations (BMS) and Benchmark Stream Stations. The BMS are 
         designed to represent the environment across the Andrews. These stations are intended to 
         provide complete, long-term, high temporal resolution, meso-scale hydroclimatological 
         data. The location of the BMS network is based on factors such as elevation, aspect, 
         vegetation gradients, and accessibility. Collected meteorological parameters are generally 
         standardized across the BMS as well as methods and instrumentation. Secondary 
         Meteorological Stations also follow standardized methods and serve similar purposes but 
         are somewhat limited in meteorological parameters collected. The Primary Meteorological 
         Station (PRIMET), Central Meteorological Station (CENMET), Upper Lookout Meteorological 
         Station (UPLMET), and Vanilla Leaf Meteorological Station (VANMET) are the four Benchmark 
         Stations, Climatic Station at Watershed 2 (CS2MET) and the Hi-15 Meteorological Station 
         (H15MET) are Secondary Stations.

- primet_230_a_5min_2023.csv:
	  Meteorological data from Primary Met Station at the Andrews Forest. Variables include: 
      battery supply, barometric pressure, swe, soil temperature, incoming shortwave radiation, 
      precipitation, soil moisture from 01-Oct-2022 to 01-Oct-2023
	  
- primet_239_a_5min_2023.csv:
	  Meteorological data from Primary Met Station at the Andrews Forest. Variables include: 
      air temperature, relative humidity, water vapor, battery supply, snow depth, and wind speed 
      and direction  from 10-Oct-2022 to 01-Oct-2023
	  
- primet_or10_15min_2023.csv
	  Meteorological data from Primet (NOAHIV) at the Andrews Forest. Variables include: 
      Precipitation from 01-Oct-2022 to 01-Oct-2023

Credits

Funding Agencies

This resource was created using funding from the following sources:
Agency Name Award Title Award Number
Department of Energy DE-SC0023312

How to Cite

Dumont, M., K. Singha (2025). Data from Dumont et al. (Submitted), Self- and Electrodic-Potential Response to Hydrological and Biogeochemical Processes in the Soil-Tree Continuum, HydroShare, http://www.hydroshare.org/resource/da9436b0422d4902911f41b405f5dbba

This resource is shared under the Creative Commons Attribution CC BY.

http://creativecommons.org/licenses/by/4.0/
CC-BY

Comments

There are currently no comments

New Comment

required