Schneider Springs Fire Study 2023 for Ecosystem Respiration Rates: Surface Water Chemistry and Hydrologic Sensor Data across the Yakima River Basin, Washington, USA (v2)

Barnes, Morgan; Cavaiani, Jake; Forbes, Brieanne; Garayburu-Caruso, Vanessa A.; Goldman, Amy E.; Lin, Xinming; McKever, Sophia A.; Nelson, Kristian; Otenburg, Opal; Powers-McCormack, Beck; Regier, Peter; Renteria, Lupita; Roebuck, Alan; Scheibe, Timothy D.; Stegen, James C.; Taylor, Micah; Tagestad, Jerry D.; Torgeson, Joshua M.; Myers-Pigg, Allison

doi:10.15485/2205676

Title: Schneider Springs Fire Study 2023 for Ecosystem Respiration Rates: Surface Water Chemistry and Hydrologic Sensor Data across the Yakima River Basin, Washington, USA (v2)

Dataset
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Abstract

This dataset supports a broader study examining the drivers of spatial variability in wildfire impacts across the Yakima River Basin. Data provided within this dataset were generated from sample collection across 17 total sites (8 sites affected by a recent wildfire, 9 sites unaffected by a recent wildfire) within multiple rivers throughout the Yakima River Basin in Washington, USA from May-July 2023. Fire affected sites are defined as those affected by the 2021 Schneider Springs Fire, based on the drainage area of the streams being within the 2021 Schneider Springs Fire burn perimeter or not (Figure 1, below). The contents include surface water geochemistry data (dissolved organic carbon; total dissolved nitrogen; total suspended solids); short-term sonde data (specific conductivity; turbidity; pH; chlorophyll A; temperature); stream depth data; stream velocity; manual chamber open channel respiration data; sensor time-series data (oxygen; water pressure; barometric pressure); field metadata (including qualitative information on in stream and river corridor characteristics); and environmental context photos taken in the field. The dataset also includes a summary file of the sensor data and plots of the sensor data. Sensors were only recovered at 15 out of the 17 sites, and not all sensors were recovered at all 15more »« less

Authors:

;

; McKever, Sophia A.;

; Otenburg, Opal;

;

Pacific Northwest National Laboratory

Publication Date:: Mon Oct 30 04:00:00 UTC 2023

DOE Contract Number:: AC02-05CH11231

Research Org.:: River Corridor and Watershed Biogeochemistry SFA

Sponsoring Org.:: U.S. DOE > Office of Science > Biological and Environmental Research (BER)

Subject:: 54 ENVIRONMENTAL SCIENCES; Absolute pressure; Air temperature; Barometric pressure; Biogeochemistry; Canopy cover; Chlorophyll A; DOC; Dissolved organic carbon; EARTH SCIENCE > BIOSPHERE > VEGETATION > MACROPHYTES; EARTH SCIENCE > BIOSPHERE > VEGETATION > VEGETATION COVER; EARTH SCIENCE > TERRESTRIAL HYDROSPHERE > SURFACE WATER; EARTH SCIENCE > TERRESTRIAL HYDROSPHERE > SURFACE WATER > SURFACE WATER CHEMISTRY; EARTH SCIENCE > TERRESTRIAL HYDROSPHERE > SURFACE WATER > SURFACE WATER PROCESSES/MEASUREMENTS > WATER DEPTH; EARTH SCIENCE > TERRESTRIAL HYDROSPHERE > WATER QUALITY/WATER CHEMISTRY; EARTH SCIENCE > TERRESTRIAL HYDROSPHERE > WATER QUALITY/WATER CHEMISTRY > GASES > DISSOLVED OXYGEN; EARTH SCIENCE > TERRESTRIAL HYDROSPHERE > WATER QUALITY/WATER CHEMISTRY > SOLIDS > SUSPENDED SOLIDS; EARTH SCIENCE > TERRESTRIAL HYDROSPHERE > WATER QUALITY/WATER CHEMISTRY > WATER CHARACTERISTICS > CHLOROPHYLL CONCENTRATIONS; EARTH SCIENCE > TERRESTRIAL HYDROSPHERE > WATER QUALITY/WATER CHEMISTRY > WATER CHARACTERISTICS > TURBIDITY; EARTH SCIENCE > TERRESTRIAL HYDROSPHERE > WATER QUALITY/WATER CHEMISTRY > WATER CHARACTERISTICS > WATER TEMPERATURE; EARTH SCIENCE > TERRESTRIAL HYDROSPHERE > WATER QUALITY/WATER CHEMISTRY > WATER CHARACTERISTICS > pH; ERsed; ERtot; ERwc; ESS-DIVE CSV File Formatting Guidelines Reporting Format; ESS-DIVE File Level Metadata Reporting Format; ESS-DIVE Hydrologic Monitoring Reporting Format; ESS-DIVE Location Metadata Reporting Format; ESS-DIVE Sample ID and Metadata Reporting Format; ESS-DIVE Water-Soil-Sediment Chemistry Reporting Format; Field experiment; Fire impacts; Freshwater; Hydrobiogeochemical function; Hydrologic exchange; Macrophyte cover; NPOC; Non-purgeable organic carbon; Organic matter; Organic matter degradation; River; River corridor; Sediment respiration; Specific conductance; Stream; Stream metabolism; TDN; TN; TSS; Total dissolved nitrogen; Total ecosystem respiration; Total suspended solids; Vegetation; Water column respiration; Watershed; Wildfire; pH

OSTI Identifier:: 2205676

DOI:: https://doi.org/10.15485/2205676

Citation Formats


                    Barnes, Morgan, Cavaiani, Jake, Forbes, Brieanne, Garayburu-Caruso, Vanessa A., Goldman, Amy E., Lin, Xinming, McKever, Sophia A., Nelson, Kristian, Otenburg, Opal, Powers-McCormack, Beck, Regier, Peter, Renteria, Lupita, Roebuck, Alan, Scheibe, Timothy D., Stegen, James C., Taylor, Micah, Tagestad, Jerry D., Torgeson, Joshua M., and Myers-Pigg, Allison. Schneider Springs Fire Study 2023 for Ecosystem Respiration Rates: Surface Water Chemistry and Hydrologic Sensor Data across the Yakima River Basin, Washington, USA (v2).  United States: N. p., 2023. 
        Web.  doi:10.15485/2205676.

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                    Barnes, Morgan, Cavaiani, Jake, Forbes, Brieanne, Garayburu-Caruso, Vanessa A., Goldman, Amy E., Lin, Xinming, McKever, Sophia A., Nelson, Kristian, Otenburg, Opal, Powers-McCormack, Beck, Regier, Peter, Renteria, Lupita, Roebuck, Alan, Scheibe, Timothy D., Stegen, James C., Taylor, Micah, Tagestad, Jerry D., Torgeson, Joshua M., & Myers-Pigg, Allison. Schneider Springs Fire Study 2023 for Ecosystem Respiration Rates: Surface Water Chemistry and Hydrologic Sensor Data across the Yakima River Basin, Washington, USA (v2).  United States.  doi:https://doi.org/10.15485/2205676

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                    Barnes, Morgan, Cavaiani, Jake, Forbes, Brieanne, Garayburu-Caruso, Vanessa A., Goldman, Amy E., Lin, Xinming, McKever, Sophia A., Nelson, Kristian, Otenburg, Opal, Powers-McCormack, Beck, Regier, Peter, Renteria, Lupita, Roebuck, Alan, Scheibe, Timothy D., Stegen, James C., Taylor, Micah, Tagestad, Jerry D., Torgeson, Joshua M., and Myers-Pigg, Allison. 2023.  
"Schneider Springs Fire Study 2023 for Ecosystem Respiration Rates: Surface Water Chemistry and Hydrologic Sensor Data across the Yakima River Basin, Washington, USA (v2)".  United States.  doi:https://doi.org/10.15485/2205676.  https://www.osti.gov/servlets/purl/2205676. Pub date:Mon Oct 30 04:00:00 UTC 2023

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@article{osti_2205676,

  title        = {Schneider Springs Fire Study 2023 for Ecosystem Respiration Rates: Surface Water Chemistry and Hydrologic Sensor Data across the Yakima River Basin, Washington, USA (v2)},

  author       = {Barnes, Morgan and Cavaiani, Jake and Forbes, Brieanne and Garayburu-Caruso, Vanessa A. and Goldman, Amy E. and Lin, Xinming and McKever, Sophia A. and Nelson, Kristian and Otenburg, Opal and Powers-McCormack, Beck and Regier, Peter and Renteria, Lupita and Roebuck, Alan and Scheibe, Timothy D. and Stegen, James C. and Taylor, Micah and Tagestad, Jerry D. and Torgeson, Joshua M. and Myers-Pigg, Allison},

  abstractNote = {This dataset supports a broader study examining the drivers of spatial variability in wildfire impacts across the Yakima River Basin. Data provided within this dataset were generated from sample collection across 17 total sites (8 sites affected by a recent wildfire, 9 sites unaffected by a recent wildfire) within multiple rivers throughout the Yakima River Basin in Washington, USA from May-July 2023. Fire affected sites are defined as those affected by the 2021 Schneider Springs Fire, based on the drainage area of the streams being within the 2021 Schneider Springs Fire burn perimeter or not (Figure 1, below). The contents include surface water geochemistry data (dissolved organic carbon; total dissolved nitrogen; total suspended solids); short-term sonde data (specific conductivity; turbidity; pH; chlorophyll A; temperature); stream depth data; stream velocity; manual chamber open channel respiration data; sensor time-series data (oxygen; water pressure; barometric pressure); field metadata (including qualitative information on in stream and river corridor characteristics); and environmental context photos taken in the field. The dataset also includes a summary file of the sensor data and plots of the sensor data. Sensors were only recovered at 15 out of the 17 sites, and not all sensors were recovered at all 15 sites (see Methods section for more details), therefore all data does not exist at all sites. Data from a 2022 study at the same sites, as well as additional sites, can be found at https://data.ess-dive.lbl.gov/view/doi:10.15485/1969566. The data package was originally published in November 2023. It was updated in June 2025 (v2; modified files). See the change history section in the readme for more details. For details on how to navigate data packages generated by this project, see https://data.ess-dive.lbl.gov/portals/PNNLRiverCorridorSFA/About. This dataset is comprised of one folder with field photos and one main data folder with two subfolders. The main data folder consists of (1) file-level metadata; (2) data dictionary; (3) field metadata; (4) field protocol; (5) readme; (6) international generic sample number (IGSN) mapping file; and (7) stream depth and averages. The sensor data subfolder consists of (1) sensor installation methods summary; (2) stream velocity; and (3) six subfolders. The BarotrollAtm (barometric pressure; temperature), DepthHOBO (water pressure; temperature), MantaRiver (specific conductivity; turbidity; pH; chlorophyll A; temperature), EXO (specific conductivity; pH; temperature), miniDOT (dissolved oxygen; temperature), and miniDOTManualChamber (dissolved oxygen; temperature) contain time-series data, plots, and summary files. The sample data subfolder consists of (1) total suspended solids (TSS) data; (2) dissolved organic carbon (DOC, measured as non-purgeable organic carbon, NPOC) data and averages; (3) total dissolved nitrogen (TN) data and averages; and (4) methods codes. All files are .csv, .pdf, .jpg, .jpeg, or .mov.},

  doi          = {10.15485/2205676},

  journal      = {},

  number       = ,

  volume       = ,

  place        = {United States},

  year         = {Mon Oct 30 04:00:00 UTC 2023},

  month        = {Mon Oct 30 04:00:00 UTC 2023}

}

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DOI: https://doi.org/10.15485/2205676

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