Summary & Purpose

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.

Date of Publication or Submission

5-1-2018

DOI

https://doi.org/10.18122/reynoldscreek/10/boisestate

Funding Citation

This study was conducted at the USDA Agriculture Research Service, Northwest Watershed Research Center, Boise, Idaho, USA. Sample collection was facilitated by USDA-ARS, private landowners within the Reynolds Creek Critical Zone Observatory (RC CZO), and the Reynolds Creek CZO itself. Support for this research was provided by USDA-ARS and the NSF for RC CZO Cooperative agreement NSF EAR-1331872(Kathleen Lohse, Principal Investigator; Nancy Glenn, Co-Principal Investigator; Alejandro Flores, Co-Principal Investigator; Shawn Benner, Co-Principal Investigator; Mark Seyfried, Co-Principal Investigator). Data are available at the criticalzone.org data portal. The authors declare no financial conflicts.

Data Source Credits

USDA soil texture classifications, https://www.nrcs.usda.gov/wps/portal/nrcs/detail/soils/survey/?cid=nrcs142p2_054167. Patton et al. (2017), https://doi.org/10.18122/B2612K. Dataset for Soil Properties of Reynolds Mountain East a Subcatchment of Reynolds Creek, Idaho Patton et al. (2018), https://doi.org/10.18122/B29T3T

Single Dataset or Series?

Single Dataset

Map Area

4794475, 4767290

Map Area

526999, 510185

Time Period

Jan. 2014-April 2018

Privacy and Confidentiality Statement

Boise State is explicitly compliant with federal and state laws surrounding data privacy including the protection of personal financial information through the Gramm-Leach-Bliley Act, personal medical information through HIPAA, HITECH and other regulations. All human subject data (e.g., surveys) has been collected and managed only by personnel with adequate human subject protection certification.

Use Restrictions

1. Use our data freely. All CZO, USGS, and USDA-ARS 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. 2. Give proper acknowledgement. Publications, models and data products that make use of these datasets must include proper acknowledgement, including citing datasets in a similar way to citing 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). 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.

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Available for download on Sunday, October 28, 2018

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