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
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?
.xlsx, .csv, .txt
See files: MetaData&Definitions.csv and Huber_MBS_16-18_Soil
Respiration_Metadata_Collection_Form.csv or Huber_MBS_16-18_Soil
Map Area Coordinate System
NAD27 Zone 11N
October 2016-June 2018
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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
Available for download on Saturday, July 24, 2021