Summary & Purpose

Soil thickness is a fundamental variable in many earth science disciplines but difficult to predict. We find a strong inverse linear relationship between soil depth and hillslope curvature (r2=0.89, RMSE=0.17 m) at a field site in Idaho. Similar relationships are present across a diverse data set, although the slopes and y-intercepts vary widely. We show that the slopes of these functions vary with the standard deviations (SD) in catchment curvatures and that the catchment curvature distributions are centered on zero. Our simple empirical model predicts the spatial distribution of soil depth in a variety of catchments based only on high-resolution elevation data and a few soil depths. Spatially continuous soil depth datasets enable improved models for soil carbon, hydrology, weathering and landscape evolution.

Date of Publication or Submission

10-13-2017

DOI

https://doi.org/10.18122/B2PM69

Funding Citation

This study was conducted in collaboration and cooperation with the USDA Agriculture Research Service, Northwest Watershed Research Center, Boise, Idaho, and landowners within the Reynolds Creek Critical Zone Observatory (RC CZO). Support for this research was provided by 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. Every sample at RC CZO is registered with an International Geo Sample Number through System for Earth Sample Registration (SESAR). Gordon Gulch data collection was funded by the Keck Geology Consortium, the National Science Foundation (NSF EAR-1062720), University of Connecticut Research Foundation, and NSF Boulder Creek Critical Zone Observatory (NSF EAR-072496). The authors declare no financial conflicts.

Single Dataset or Series?

Single Dataset

Data Format

*.zip, *.mpk, *.jpg, *.xlsx, *.csv

Data Attributes

The dataset consists of a zip file containing an ArcGIS map package, a set of *.jpg images of each of the raster layers in the map package, and a data dictionary in both excel and csv format explaining the terms and attributes of the data.

Map Area

4795586.6322, 4767596.6322

Map Area

525326.26, 511406.26

Time Period

June 2010-June 2015

Privacy and Confidentiality Statement

We are 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 Data Products* except those labeled Private** are released to the public and may be freely copied, distributed, edited, remixed, and built upon under the condition that you give acknowledgment as described below.

2. Give proper acknowledgment. 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.

Disclaimer of Warranty

BOISE STATE UNIVERSITY MAKES NO REPRESENTATIONS ABOUT THE SUITABILITY OF THE INFORMATION CONTAINED IN OR PROVIDED AS PART OF THE SYSTEM FOR ANY PURPOSE. ALL SUCH INFORMATION IS PROVIDED "AS IS" WITHOUT WARRANTY OF ANY KIND. BOISE STATE UNIVERSITY HEREBY DISCLAIMS ALL WARRANTIES AND CONDITIONS WITH REGARD TO THIS INFORMATION, INCLUDING ALL WARRANTIES AND CONDITIONS OF MERCHANTABILITY, WHETHER EXPRESS, IMPLIED OR STATUTORY, FITNESS FOR A PARTICULAR PURPOSE, TITLE AND NON-INFRINGEMENT. IN NO EVENT SHALL BOISE STATE UNIVERSITY BE LIABLE FOR ANY SPECIAL, INDIRECT OR CONSEQUENTIAL DAMAGES OR ANY DAMAGES WHATSOEVER RESULTING FROM LOSS OF USE, DATA OR PROFITS, WHETHER IN AN ACTION OF CONTRACT, NEGLIGENCE OR OTHER TORTIOUS ACTION, ARISING OUT OF OR IN CONNECTION WITH THE USE OR PERFORMANCE OF INFORMATION AVAILABLE FROM THE SYSTEM. THE INFORMATION PROVIDED BY THE SYSTEM COULD INCLUDE TECHNICAL INACCURACIES OR TYPOGRAPHICAL ERRORS. CHANGES ARE PERIODICALLY ADDED TO THE INFORMATION HEREIN. COMPANY AND/OR ITS RESPECTIVE SUPPLIERS MAY MAKE IMPROVEMENTS AND/OR CHANGES IN THE PRODUCT(S) AND/OR THE PROGRAM(S) DESCRIBED HEREIN AT ANY TIME, WITH OR WITHOUT NOTICE TO YOU. BOISE STATE UNIVERSITY DOES NOT MAKE ANY ASSURANCES WITH REGARD TO THE ACCURACY OF THE RESULTS OR OUTPUT THAT DERIVES FROM USE OF THE SYSTEM.

Comments

Dataset Update 7/12/2019: Patton_DOI_TMR_Paper_03072019.xls is an updated file. Items highlighted in yellow indicate changes since previous update.

Curvature is the rate of change in slope from a fixed point on a landscape in all directions, and is extremely sensitive to any changes in elevation, procedures, or processing. These data have been amended to include additional metadata descriptions of how curvature was calculated for this dataset. Multiple sets of curvature values calculated at different spatial resolutions have been included, and a column for the name of the catchment used to derive statistics from has been added. Reported curvature values have been re-calculated to remove the negative curvature convention.

Download

Share

Article Location

 
COinS