Spatial Study 2022: Water Column, Sediment, and Total Ecosystem Respiration Rates across the Yakima River Basin, Washington, USA (v2)

Garayburu-Caruso, Vanessa A.; Kaufman, Matthew H.; Delgado, Dillman; Barnes, Morgan; Boehnke, Brandon T.; Chen, Xingyuan; Cornwell, Kali; Forbes, Brieanne; Fulton, Stephanie G.; Goldman, Amy E.; Gonzalez, Brianna I.; Grieger, Samantha; Hall Jr., Robert O.; Hammond, Glenn E.; Jiang, Peishi; Laan, Maggi; Li, Bing; Li, Zhi; Lin, Xinming; McKever, Sophia A.; Mudunuru, Maruti K.; Muller, Katherine A.; Myers-Pigg, Allison; Otenburg, Opal; Pelly, Aaron; Peta, Kelsey; Regier, Peter; Renteria, Lupita; Roebuck, Alan; Scheibe, Timothy D.; Son, Kyongho; Torgeson, Joshua M.; Stegen, James C.

doi:10.15485/1987520

Title: Spatial Study 2022: Water Column, Sediment, and Total Ecosystem Respiration Rates 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 sediment respiration rates in the Yakima River Basin and is associated with the manuscript “Sediment-associated processes account for most of the spatial variation in ecosystem respiration in the Yakima River basin” submitted to Nature Communications Earth & Environment (Garayburu-Caruso et al., in review). The dataset provides ecosystem metabolism estimates generated from streamMetabolizer (Appling et al.; 2018) using data collected during the same five-week period at 48 sites within multiple rivers throughout the Yakima River Basin in Washington, USA. Additionally, it includes the scripts used for the analysis and producing the figures in the manuscript. The contents include streamMetabolizer inputs and outputs and additional relevant data needed to generate the main manuscript results. The data included are: total ecosystem respiration, water respiration, calculated sediment-associated respiration, gross primary production outputs from the river corridor model for the Yakima River Basin, median grain size (d50), depth, dissolved oxygen, water temperature, pressure, and annual oxygen consumption. The associated GitHub repository can be found at https://github.com/river-corridors-sfa/SSS_metabolism. Samples collected during this study were labeled as “Second Spatial Study” or “SSS.” Raw time series sensor data, total suspended solids, and depth data from SSSmore »« less

Authors:

;

; Cornwell, Kali;

;

; Gonzalez, Brianna I.; Grieger, Samantha;

;

; Li, Zhi;

; McKever, Sophia A. more »

Pacific Northwest National Laboratory
Flathead Lake Biological Station, University of Montana
Gram Northwest

Publication Date:: Tue Jun 27 00:00:00 EDT 2023

DOE Contract Number:: AC02-05CH11231

Research Org.:: River Corridor Hydro-biogeochemistry from Molecular to Multi-Basin Scales SFA

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

Subject:: 54 ENVIRONMENTAL SCIENCES; Barometric pressure; Biogeochemistry; EARTH SCIENCE > ATMOSPHERE > ATMOSPHERIC PRESSURE > ATMOSPHERIC PRESSURE MEASUREMENTS; EARTH SCIENCE > TERRESTRIAL HYDROSPHERE > GROUND WATER > GROUND WATER PROCESSES/MEASUREMENTS > DISCHARGE; EARTH SCIENCE > TERRESTRIAL HYDROSPHERE > SURFACE WATER; EARTH SCIENCE > TERRESTRIAL HYDROSPHERE > SURFACE WATER > SURFACE WATER PROCESSES/MEASUREMENTS > DISCHARGE/FLOW > FLOW VELOCITY; EARTH SCIENCE > TERRESTRIAL HYDROSPHERE > SURFACE WATER > SURFACE WATER PROCESSES/MEASUREMENTS > WATER DEPTH; EARTH SCIENCE > TERRESTRIAL HYDROSPHERE > SURFACE WATER > WATERSHED CHARACTERISTICS > WATERSHED SLOPE; EARTH SCIENCE > TERRESTRIAL HYDROSPHERE > WATER QUALITY/WATER CHEMISTRY > GASES > DISSOLVED OXYGEN; EARTH SCIENCE > TERRESTRIAL HYDROSPHERE > WATER QUALITY/WATER CHEMISTRY > WATER CHARACTERISTICS > WATER TEMPERATURE; ESS-DIVE CSV File Formatting Guidelines Reporting Format; ESS-DIVE File Level Metadata Reporting Format; ESS-DIVE Hydrologic Monitoring Reporting Format; ESS-DIVE Model Data Archiving Guidelines; Ecosystem respiration rate; Freshwater; Gas exchange (K600); Gross primary production; Hydrobiogeochemical function; Respiration rates; River; River corridor; Sediment respiration rate; Slope; Stream; Stream metabolism; Water column respiration rate; Watershed

OSTI Identifier:: 1987520

DOI:: https://doi.org/10.15485/1987520

Citation Formats


                    Garayburu-Caruso, Vanessa A., Kaufman, Matthew H., Delgado, Dillman, Barnes, Morgan, Boehnke, Brandon T., Chen, Xingyuan, Cornwell, Kali, Forbes, Brieanne, Fulton, Stephanie G., Goldman, Amy E., Gonzalez, Brianna I., Grieger, Samantha, Hall Jr., Robert O., Hammond, Glenn E., Jiang, Peishi, Laan, Maggi, Li, Bing, Li, Zhi, Lin, Xinming, McKever, Sophia A., Mudunuru, Maruti K., Muller, Katherine A., Myers-Pigg, Allison, Otenburg, Opal, Pelly, Aaron, Peta, Kelsey, Regier, Peter, Renteria, Lupita, Roebuck, Alan, Scheibe, Timothy D., Son, Kyongho, Torgeson, Joshua M., and Stegen, James C. Spatial Study 2022: Water Column, Sediment, and Total Ecosystem Respiration Rates across the Yakima River Basin, Washington, USA (v2).  United States: N. p., 2023. 
        Web.  doi:10.15485/1987520.

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                    Garayburu-Caruso, Vanessa A., Kaufman, Matthew H., Delgado, Dillman, Barnes, Morgan, Boehnke, Brandon T., Chen, Xingyuan, Cornwell, Kali, Forbes, Brieanne, Fulton, Stephanie G., Goldman, Amy E., Gonzalez, Brianna I., Grieger, Samantha, Hall Jr., Robert O., Hammond, Glenn E., Jiang, Peishi, Laan, Maggi, Li, Bing, Li, Zhi, Lin, Xinming, McKever, Sophia A., Mudunuru, Maruti K., Muller, Katherine A., Myers-Pigg, Allison, Otenburg, Opal, Pelly, Aaron, Peta, Kelsey, Regier, Peter, Renteria, Lupita, Roebuck, Alan, Scheibe, Timothy D., Son, Kyongho, Torgeson, Joshua M., & Stegen, James C. Spatial Study 2022: Water Column, Sediment, and Total Ecosystem Respiration Rates across the Yakima River Basin, Washington, USA (v2).  United States.  doi:https://doi.org/10.15485/1987520

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                    Garayburu-Caruso, Vanessa A., Kaufman, Matthew H., Delgado, Dillman, Barnes, Morgan, Boehnke, Brandon T., Chen, Xingyuan, Cornwell, Kali, Forbes, Brieanne, Fulton, Stephanie G., Goldman, Amy E., Gonzalez, Brianna I., Grieger, Samantha, Hall Jr., Robert O., Hammond, Glenn E., Jiang, Peishi, Laan, Maggi, Li, Bing, Li, Zhi, Lin, Xinming, McKever, Sophia A., Mudunuru, Maruti K., Muller, Katherine A., Myers-Pigg, Allison, Otenburg, Opal, Pelly, Aaron, Peta, Kelsey, Regier, Peter, Renteria, Lupita, Roebuck, Alan, Scheibe, Timothy D., Son, Kyongho, Torgeson, Joshua M., and Stegen, James C. 2023.  
"Spatial Study 2022: Water Column, Sediment, and Total Ecosystem Respiration Rates across the Yakima River Basin, Washington, USA (v2)".  United States.  doi:https://doi.org/10.15485/1987520.  https://www.osti.gov/servlets/purl/1987520. Pub date:Tue Jun 27 00:00:00 EDT 2023

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@article{osti_1987520,

  title        = {Spatial Study 2022: Water Column, Sediment, and Total Ecosystem Respiration Rates across the Yakima River Basin, Washington, USA (v2)},

  author       = {Garayburu-Caruso, Vanessa A. and Kaufman, Matthew H. and Delgado, Dillman and Barnes, Morgan and Boehnke, Brandon T. and Chen, Xingyuan and Cornwell, Kali and Forbes, Brieanne and Fulton, Stephanie G. and Goldman, Amy E. and Gonzalez, Brianna I. and Grieger, Samantha and Hall Jr., Robert O. and Hammond, Glenn E. and Jiang, Peishi and Laan, Maggi and Li, Bing and Li, Zhi and Lin, Xinming and McKever, Sophia A. and Mudunuru, Maruti K. and Muller, Katherine A. and Myers-Pigg, Allison and Otenburg, Opal and Pelly, Aaron and Peta, Kelsey and Regier, Peter and Renteria, Lupita and Roebuck, Alan and Scheibe, Timothy D. and Son, Kyongho and Torgeson, Joshua M. and Stegen, James C.},

  abstractNote = {This dataset supports a broader study examining the drivers of spatial variability in sediment respiration rates in the Yakima River Basin and is associated with the manuscript “Sediment-associated processes account for most of the spatial variation in ecosystem respiration in the Yakima River basin” submitted to Nature Communications Earth & Environment (Garayburu-Caruso et al., in review). The dataset provides ecosystem metabolism estimates generated from streamMetabolizer (Appling et al.; 2018) using data collected during the same five-week period at 48 sites within multiple rivers throughout the Yakima River Basin in Washington, USA. Additionally, it includes the scripts used for the analysis and producing the figures in the manuscript. The contents include streamMetabolizer inputs and outputs and additional relevant data needed to generate the main manuscript results. The data included are: total ecosystem respiration, water respiration, calculated sediment-associated respiration, gross primary production outputs from the river corridor model for the Yakima River Basin, median grain size (d50), depth, dissolved oxygen, water temperature, pressure, and annual oxygen consumption. The associated GitHub repository can be found at https://github.com/river-corridors-sfa/SSS_metabolism. Samples collected during this study were labeled as “Second Spatial Study” or “SSS.” Raw time series sensor data, total suspended solids, and depth data from SSS were published at https://data.ess-dive.lbl.gov/datasets/doi:10.15485/1969566. A subset of data from the SSS samples were published in the contiguous United States (CONUS)-Scale Model-Sample (CM) study data package available at https://data.ess-dive.lbl.gov/view/doi:10.15485/1923689 that presents data from across the CONUS. They include dissolved organic carbon (DOC, measured as non-purgeable organic carbon, NPOC), total nitrogen (TN), grain size, aerobic sediment respiration, dissolved oxygen (DO), and temperature. Parent IDs and Site IDs are consistent between the SSS and CM data packages, and they can be mapped directly so data across packages can be used together. Field metadata for the samples in this da This dataset is comprised of one main data folder with four subfolders. The main data folder contains of (1) file-level metadata; (2) data dictionary; (3) total/water column/sediment respiration; (4) gross primary production (GPP); (5) median grain size (d50); and (6) annual oxygen consumption. The “Figures” subfolder contains the figures used in the paper and all intermediate files (including geospatial files). The “Published_Data” contains a readme directing the user to download the public data to reproduce analyses and figures. The “Scripts” folder contains all scripts used in the analyses that were not part of running StreamMetabolizer. Lastly, the “Stream_Metabolizer” folder contains all files associated with running StreamMetabolizer including (1) model input files, (2) model output files, (3) processing scripts, (4) histogram plots of the outputs, and (5) an R project. All files are .csv, .pdf, .R, .Rmd, .Rproj, .html, .png, .txt, .qgz, .cpg, .dbf, .prj, .shp, .shp.ea.iso.xml, .shp.iso.xml, .shx, .sbn. ta package can be found at either link. We acknowledge the Yakama Nation as owners and caretakers of the lands where we collected these data. We thank the Confederated Tribes and Bands of the Yakama Nation Tribal Council and Yakama Nation Fisheries for working with us to facilitate sample collection and optimization of data usage according to their values and worldview.},

  doi          = {10.15485/1987520},

  journal      = {},

  number       = ,

  volume       = ,

  place        = {United States},

  year         = {Tue Jun 27 00:00:00 EDT 2023},

  month        = {Tue Jun 27 00:00:00 EDT 2023}

}

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DOI: https://doi.org/10.15485/1987520

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