Summary & Purpose
Soil carbon is the largest terrestrial carbon (C) store but remains a large source of uncertainty in C storage models due to high temporal and spatial variability, and a lack of process understanding. Carbon dioxide (CO2) fluxes are especially difficult in desert ecosystems exhibiting pulses of biogeochemical cycling regulated by antecedent soil conditions. Using the soil CO2 gradient method and measures of soil physical and hydrologic properties, we present a soil respiration model for a cold desert climate and which incorporates antecedent controls on CO2 emissions using Bayesian methods. Soil properties and CO2 measurements between October 2016-2018 were taken from a catchment at 2111 m elevation within the Reynolds Creek Critical Zone Observatory (CZO). Mean annual precipitation is snow-dominated and averages 800 mm. Mean annual temperature is 5.6 °C. Vegetation is dominated by various sub-species of sagebrush. Lithology was derived from basalt and Rhyolitic welded tuff. Soil CO2, soil moisture, and soil temperature sensors at 5 depths within the soil profile recorded every 30 minutes from October 2016 to June 2018. Rates of CO2 efflux and production used modeled soil porosity and hydraulic characteristics to account for changes in diffusivity with variable soil moisture.
Date of Publication or Submission
7-24-2020
DOI
10.18122/reynoldscreek/21/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. Data are available at the criticalzone.org data portal. The authors declare no financial conflicts.
Data Source Credits
Patton et al. (2017), https://doi.org/10.18122/B2612K
Patton et al. (2018), https://doi.org/10.18122/B29T3T
Murdock et al. (2018), https://doi.org/10.18122/reynoldscreek/10/boisestate
Single Dataset or Series?
Single Dataset
Data Format
.xlsx, .csv, .txt
Data Attributes
See files: MetaData&Definitions.csv and Huber_MBS_16-18_Soil
Respiration_Metadata_Collection_Form.csv or Huber_MBS_16-18_Soil
Respiration_Metadata_Collection_Form.xlsx
Map Area
4794475, 4767290
Map Area
526999, 510185
Map Area Coordinate System
NAD27 Zone 11N
Time Period
October 2016-June 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 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.
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.
Recommended Citation
Huber, David P.; Aho, Ken A.; Flerchinger, Gerald; Lohse, Kathleen A.; and Seyfried, Mark S. (2019). Dataset for Methods to Model Antecedent Effects on Soil Respiration in a Cold Desert Ecosystem: Associated Soil and Environmental Data from the Reynolds Creek Critical Zone Observatory. [Data set]. Retrieved from doi: 10.18122/reynoldscreek/21/boisestate
Comments
A subsection of data from January January 2018-October 2019 was used for a submodel.
This dataset is part of a statistical methods analysis, with associated R-code, and is therefore restricted to the time period listed above. However, data collection is ongoing at this site. To inquire about data after 31 July 2018, contact Mark Seyfried at the USDA-ARS Boise.