**Some of these files are currently listed as private. Please direct access inquiries for these data to Data Manager Xiande Meng.**
Click on Parent Folder to access all data and metadata that are currently available. Metadata include site properties, instrumentation, and processing notes.
You may also click on individual Water Year (WY) dataset links to immediately download a file of the data.
NOTE: We are working to update individual WY data listings on this site. Current individual WYs listed below may not represent all available data and metadata. Click on the Parent Folder link to access all files.
Like the CZT-1 site, a number of sensors are arrayed around the Critical Zone Tree 2 to provide spatially and temporally resolved data on the water balance of a single tree. CZT-2 is a Ponderosa Pine (Pinus ponderosa). At this tree, 8 pits are arranged in the cardinal directions, up to 5 m from the tree. Soil temperature, moisture, and matric potential sensors are installed in each pit at depths of 15, 30, 60 cm, and deeper when soil depth allows below the mineral soil surface.
Data control and storage on Campbell Scientific CR1000 dataloggers, using AM16/32B multiplexers.
Soil volumetric water content (VWC) temperature, and electrical conductivity measured using Decagon Devices 5-TE sensors at depths of 15, 30, 60 cm, and deeper when soil depth allows below the mineral soil surface.
Soil matric potential (SWP) measured using Decagon Devices MPS-1 sensor and tensiometers.
Sap Flow measured by the Heat-Pulse Method sensors spaced radially around CZT-2, facing N, E, S and W.
water balance, critical zone tree, CZT, ponderosa, pine, mid-elevation, Davis, hydrology, volumetric water content, VWC, EC, matric potential, sap flow, tensiometer, TDR
XML is in ISO-19115 geographic metadata format, compatible with ESRI Geoportal Server.
Citation for This Webpage
Peter Hartsough; Jan Hopmans (2012). "CZO Dataset: Critical Zone Tree 2 - Soil Moisture, Soil Temperature, Electrical Conductivity, Matric Potential, Sap Flow (2010-2012)." Retrieved 17 Jan 2020, from http://criticalzone.org/sierra/data/dataset/2642/
Soil Moisture Tree Water Status Dynamics in a Mid-Latitude Montane Forest, Southern Sierra Critical Zone Observatory, CA . Hartsough, P.C., Malazian, A., Kamai, T., Roudneva, E., Hopmans, J.W., (2009): Fall meeting, American Geophysical Union, December 2009. 90(52) Abstract H33A-0844.
Soil Moisture/ Tree Water Status Dynamics in Mid-Latitude Montane Forest, Southern Sierra Critical Zone Observatory, CA. Hartsough, P.C., Malazian, A., Meadows, M.W., Roudneva, K., Storch, J., Bales, R.C., Hopmans, J.W. (2010): Fall meeting, American Geophysical Union, December 2010. Abstract H11G-0894.
Comparison of sap flux data from two instrumented tree species in a forested catchment with different levels of water stress. Hartsough, P.C. Roudneva, E., Malazian, A.I., Meadows, M.W., Kelly, A.E., Bales, R.C., Goulden, M., Hopmans, J.W. (2011): Fall meeting, American Geophysical Union, December 2011. Abstract GC31A-1023.
Paired tree and soil instrumentation: what can we learn from two instrumented sites across various gradients in a forested catchment. Hartsough, P.C., Roudneva, E., Malazian, A.I., Meadows, M.W., Bales, R.C., and Hopmans, J.W. (2012): Fall meeting, American Geophysical Union, December 2012. Abstract H31G-1211.
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.
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