Zachary Brecheisen, with help from Dan Richter, Will Cook, and others, augered and install 66 soil gas wells at various depths at 15 locations in the Calhoun CZO. Three of these locations are instrumented and continuously monitored, with data recorded every 30 minutes on a Campbell CR1000 datalogger, the rest sampled manually every 3 weeks. Installation occurred in the winter of 2015 through summer 2016. The continuously monitored gas wells target 3 different land use comparisons on flat upland topography. The land uses consist of a reference hardwood forest minimally degraded by human activity, an old-field secondary succession pine forest ~60 years old, and 1 plowed agricultural plot which has been, to the best of our knowledge, continually cultivated since at least the 1930s. The goal of this sampling is to identify anthropogenic biogeochemical signals in the soil profile of cultivated lands and to evaluate their persistence (or lack thereof) in old-field pine forests relative to reference hardwoods.
Gasses measured include O2 (Apogee) and CO2 (Vaisala) probes located in soil gas wells at 25, 50, and 150 cm depths. Data are logged on a Campbell CR1000 datalogger every 30 minutes. Daily average values are computed.
Measurements (depths in cm):
Soil CO2: 50, 150 (all plots)
Soil O2: 50, 150 (all plots)
Soil temperature: 0 (soil surface temperature probe), 25 (all plots via TDR probe), 50 (all plots via TDR and apogee O2 probe), 150 (all plots via Apogee O2 probe)
Soil moisture (TDR probe): 25 (all plots), 50 (all plots)
R1P1 - pine forest 34.60739,-81.72279
R1C1 - cultivated field 34.61014,-81.72699
R1H1 - hardwood forest 34.60643,-81.72332
Gasses measured include O2 (Apogee) and CO2 (Vaisala).
CO2, O2, soil gas, deep soil, logged, Vaisala, Apogee, Campbell
XML is in ISO-19115 geographic metadata format, compatible with ESRI Geoportal Server.
Citation for This Webpage
Brecheisen, Z. S.; Cook, Charles W.; Richter, Daniel deB. (2019). "CZO Dataset: Research area 1 - Soil Gas, Soil Moisture, Soil Temperature (2016-2019)." Retrieved 13 Dec 2019, from http://criticalzone.org/calhoun/data/dataset/4658/
Data Use Policy
1. Use our data freely. All CZO Data Products* except those labelled Private** are released to the public and may be freely copied, distributed, edited, remixed, and built upon under the condition that you give acknowledgement as described below. Non-CZO data products — like those produced by USGS or NOAA — have their own use policies, which should be followed.
2. Give proper citation and acknowledgement. Publications, models and data products that make use of these datasets must include proper citation and acknowledgement. Most importantly, provide a citation in a similar way as a journal article (i.e. author, title, year of publication, name of CZO “publisher”, edition or version, and URL or DOI access information. See http://www.datacite.org/whycitedata). Also include at least a brief acknowledgement such as: “Data were provided by the NSF-supported Southern Sierra Critical Zone Observatory” (replace with the appropriate observatory name).
3. Let us know how you will use the data. The dataset creators would appreciate hearing of any plans to use the dataset. Consider consultation or collaboration with dataset creators.
*CZO Data Products. Defined as a data collected with any monetary or logistical support from a CZO.
**Private. Most private data will be released to the public within 1-2 years, with some exceptionally challenging datasets up to 4 years. To inquire about potential earlier use, please contact us.
Data Sharing Policy
All CZO investigators and collaborators who receive material or logistical support from a CZO agree to:
1. Share data privately within 1 year. CZO investigators and collaborators agree to provide CZO Data Products* — including data files and metadata for raw, quality controlled and/or derived data — to CZO data managers within one year of collection of samples, in situ or experimental data. By default, data values will be held in a Private CZO Repository**, but metadata will be made public and will provide full attribution to the Dataset Creators†.
2. Release data to public within 2 years. CZO Dataset Creators will be encouraged after one year to release data for public access. Dataset Creators may chose to publish or release data sooner.
3. Request, in writing, data privacy up to 4 years. CZO PIs will review short written applications to extend data privacy beyond 2 years and up to 4 years from time of collection. Extensions beyond 3 years should not be the norm, and will be granted only for compelling cases.
4. Consult with creators of private CZO datasets prior to use. In order to enable the collaborative vision of the CZO program, data in private CZO repositories will be available to other investigators and collaborators within that CZO. Releasing or publishing any derivative of such private data without explicit consent from the dataset creators will be considered a serious scientific ethics violation.
* CZO Data Products. Defined as data collected with any monetary or logistical support from a CZO. Logistical support includes the use of any CZO sensors, sampling infrastructure, equipment, vehicles, or labor from a supported investigator, student or staff person. CZO Data Products can acknowledge multiple additional sources of support.
** Private CZO Repository. Defined as a password-protected directory on each CZO’s data server. Files will be accessible by all investigators and collaborators within the given CZO and logins will be maintained by that local CZO’s data managers. Although data values will not be accessible by the public or ingested into any central data system (i.e. CUAHSI HIS), metadata will be fully discoverable by the public. This provides the dual benefit of giving attribution and credit to dataset creators and the CZO in general, while maintaining protection of intellectual property while publications are pending.
† Dataset Creators. Defined as the people who are responsible for designing, collecting, analyzing and providing quality assurance for a dataset. The creators of a dataset are analogous to the authors of a publication, and datasets should be cited in an analogous manner following the emerging international guidelines described at http://www.datacite.org/whycitedata.
Research areas 1, 4, 7 (2015-2017). Soil Gas,...