Soil physical and hydrologic properties were determined on soils ranging from 1425 to 2111 m elevation within the Reynolds Creek Critical Zone Observatory (CZO). Climate varied between elevations, with mean annual precipitation (MAP) from 292 to 800 mm, respectively, and mean annual temperature (MAT) from 9.4 to 5.6 °C. Vegetation was dominated by various sub-species of sagebrush at all sites. Lithology was derived from basalt and Rhyolitic welded tuff at all sites except Johnston Draw, which was derived from granitic parent material. Soils were collected from profiles by genetic horizons down to ~1 m or bedrock. Soil hydraulic properties were determined in the lab using a dew point potentiometer to determine the drier end of the soil water characteristic curves. Estimates of soil water retention and hydraulic conductivity near saturation were determined using a multistep-outflow and evaporation method. Soil bulk densities were also determined, and soil particle size distributions were previously determined (Patton et al. 2017). Using Marquardt-Levenberg type parameter optimization, soil hydraulic parameters for the standard van Genuchten-Mualem water retention and hydraulic conductivity functions were inversely fit. For several rocky subsoils where intact soil cores could not be collected, hydraulic parameters were estimated using a pedotransfer function (RosettaLite v1.1), bracketed using measurements from the nearest soil horizons. Results display subtle increases in soil water storage capacity (1.06%) and effective saturated hydraulic conductivity (~10%) moving from low to high elevations in the watershed. Both alpha (1.9%) and n (1.1%) parameters increased with increasing elevation and rainfall, typical of coarsening soils. In contrast, however, soil particle size distributions had more silt+clay fraction at the highest elevation site. Soil Bulk density was lowest at the high elevation site. Plant available water, determined from weighted average values of field saturated volumentric water content and the water content at the permanent wilting point displayed no trend with elevation or precipitation, suggesting potential tradeoffs in controls on ecohydrological processes with elevation. Not surprising, plant available water was highest in under-shrub soils vs. bare inter-plant patch spaces. In addition, the saturated water holding capacity was greater in surface soils at the low elevation site, with low precipitation, but greater in subsoil horizons at higher elevations with greater precipitation, presumably due to greater eluviation with greater precipitation totals.
Reynolds Creek, soil, hydraulic parameters
XML is in ISO-19115 geographic metadata format, compatible with ESRI Geoportal Server.
Citation for This Dataset
Murdock, Mark D.; Huber, David P.; Seyfried, Mark S.; Patton, Nicholas R.; and Lohse,
Kathleen A.. (2018). Dataset for Soil Hydraulic Parameter Estimates Along an Elevation Gradient in
Dryland Soils. doi.org/10.18122/reynoldscreek/10/boisestate
Citation for This Webpage
Murdock, M.D.; Huber, D.P.; Seyfried, M.S.; Patton, N.R.; Lohse, K.A. (2018). "CZO Dataset: Reynolds Creek Experimental Watershed - Hydropedologic Properties, Soil Water, Soil Survey (2014-2018)." Retrieved 20 Jan 2020, from http://criticalzone.org/national/data/dataset/6675/
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.