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Type: | Resource | |
Storage: | The size of this resource is 109.7 KB | |
Created: | Sep 04, 2020 at 2:18 a.m. | |
Last updated: | May 07, 2021 at 3:22 p.m. (Metadata update) | |
Published date: | May 07, 2021 at 3:22 p.m. | |
DOI: | 10.4211/hs.cd8bc1c38b254031854b8b8aaee08a05 | |
Citation: | See how to cite this resource | |
Content types: | Single File Content |
Sharing Status: | Published |
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Views: | 1717 |
Downloads: | 120 |
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Abstract
Dataset required to replicate analysis in the manuscript "Carbon Dioxide Production in Bedrock beneath Soils Substantially Contributes to Forest Carbon Cycling". Here we provide (1) subsurface carbon dioxide and oxygen concentrations for the study duration collected from a bedrock vadose zone, (2) subsurface temperature for the dates of sampling, (3) relative rock moisture for the dates of analysis, (4) calculated diffusion coefficients used to calculate carbon dioxide flux from the weathered bedrock and (4) soil efflux measurements. Measurements are made at discrete intervals throughout a bedrock vadose zone using a Vadose Zone monitoring System (VMS). The bedrock of the study site is a marine turbidite that is part of the Coastal Belt of the Franciscan Complex. The study site is characterized by a steep hillslope, a Mediterranean climate that is seasonally dry, and a mixed canopy forest.
Subject Keywords
Coverage
Spatial
Temporal
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Content
readme.md
Read me for 'Carbon Dioxide Production In Bedrock' dataset
All of the methods, maps, and results from this dataset can be found in the publication:
Tune, A. K., Druhan, J. L., Wang, J., Bennett, P. C., & Rempe, D. M. (2020). Carbon Dioxide Production in Bedrock Beneath Soils Substantially Contributes to Forest Carbon Cycling. Journal of Geophysical Research: Biogeosciences, 125(12). https://doi.org/10.1029/2020JG005795
File information:
1) co2_o2_concentrations.xlsx
This file contains the CO2 and O2 concentrations sampled from the VMS in the bedrock vadose zone on an approximately biweekly basis. All concentrations are reported as percentages.
2) depth_table.xlsx
This file contains the depths of each sensor and sampling apparatus in the VMS. Each of the VMS ports and sensors extend for a depth interval recorded by the columns labled 'shallower end' and 'deeper end'. The column labeled the 'average depth' is the mean of these two depths. The column recording saturation state indicates the year-round wetness state of the port. The 'material sampled' indicates where in the material weathering profile the port is located. The depth relative to the well head is the depth relative to the top of the VMS where it exit the ground surface near the control panel. The depth relative to the ground suface accounts for the slight changes in topography vertically above each port.
3) diffusion_coefficient.xlsx
This file contains the calculated mean diffusion coefficients of CO2,(g) in the weathered bedrock for each sample date for the upper 3 ports. The diffusivity is calculated according to the method outlined in Tune (2020) using the data in the subsurface_temperature.xlsx file. The 5% and 10% distinction in the column titles refers to using a 5 or 10% air-filled porosity to calculate the diffusion coefficient.
4) relative_rock_moisture.xlsx
This file contains the relative rock moisture content, as a fraction, in the weathered bedrock for each sample date for each TDT sensor. The depths of the TDT sensors are recorded in the depth_table.xlsx file. These values are derived from the water content measured by the VMS TDT sensors available through Dendra Science where all of the monitoring data at the Eel River Critical Zone Observatory is stored, retrieved, managed, and curated.
5) soil_efflux.xlsx
This file contains the CO2,(g) flux measurements from the top of the soil measured from May to October in 2018.
6) subsurface_temperature.xlsx
This file contains the temperature of the bedrock environment for each sample date measured by the VMS TDT sensors available through Dendra Science. All temperatures are in celcius.
Related Resources
The content of this resource is derived from | The temperature and relative rock moisture are derived from datasets curated by the Eel River Critical Observatory through the dendra.science platform. |
Credits
Funding Agencies
This resource was created using funding from the following sources:
Agency Name | Award Title | Award Number |
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Department of Energy, Office of Science | DE-SE001919 and DE-SC0019198 | |
National Science Foundation | Eel River Critical Zone Observatory | EAR 1331940 |
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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W. Jesse Hahm | UC Berkeley | |||
Logan Schmidt | The University of Texas at Austin | |||
Colleen Murphy | UC Santa Cruz | |||
Brandon Minton | ||||
Samuel F. Bennett | ||||
Samantha Cargill | ||||
Marshall Wolfe | ||||
William Speiser | ||||
Matan Brickman | ||||
Neeraja Setlur | ||||
Corey Lawrence |
How to Cite
This resource is shared under the Creative Commons Attribution CC BY.
http://creativecommons.org/licenses/by/4.0/
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