Data and scripts associated with a manuscript on a meta-analysis synthesizing stream biogeochemical response to wildfires across space and time (v2)

Cavaiani, Jake; Regier, Peter; Roebuck, Alan; Barnes, Morgan; Garayburu-Caruso, Vanessa A.; Gillespie, Xia; McKever, Sophia A.; Renteria, Lupita; Forbes, Brieanne; Powers-McCormack, Beck; Myers-Pigg, Allison

doi:10.15485/2319038

Title: Data and scripts associated with a manuscript on a meta-analysis synthesizing stream biogeochemical response to wildfires across space and time (v2)

Dataset
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Abstract

This data package is associated with the publication “Catchment characteristics modulate the influence of wildfires on nitrate and dissolved organic carbon in lotic systems across space and time: A meta-analysis” submitted to Global Biogeochemical Cycles (Cavaiani et al. 2025). This study uses meta-analytical techniques to evaluate the effect of wildfire on in-stream responses in burned and unburned watersheds. The study aims to provide additional insight into the range of responses and net influences that wildfires have on hydro-biogeochemistry across broad spatial scales, burn extents, and the persistence of water-quality change. This study compiles data and metadata from 18 total publications that includes 1) surface water geochemistry data (dissolved organic carbon; nitrate), 2) climate classifications, 3) year of the wildfire, 4) the time lag between when the fire occurred and when the sampling occurred, and 5) study design of the publication. In total, this meta-analysis draws data that spans 8 climate guilds, 3 biomes, 62 watersheds, and 20 unique wildfires. See Sites_meta_data.csv for citations of the papers used in this meta-analysis. All R scripts and the associated data can also be found on GitHub at https://github.com/river-corridors-sfa/rc_sfa-rc-3-wenas-meta. This data package was originally published in March 2024. It was updated in April 2025more »« less

Authors:

;

; Gillespie, Xia; McKever, Sophia A.;

;

Pacific Northwest National Laboratory; Pacific Northwest National Laboratory
Pacific Northwest National Laboratory

Publication Date:: Wed Feb 28 23:00:00 EST 2024

DOE Contract Number:: AC02-05CH11231

Research Org.:: Environmental System Science Data Infrastructure for a Virtual Ecosystem; River Corridor and Watershed Biogeochemistry SFA

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

Subject:: 54 ENVIRONMENTAL SCIENCES; Biogeochemistry; Burn extent; Climate; DOC; Dissolved organic carbon; Disturbance; EARTH SCIENCE > TERRESTRIAL HYDROSPHERE > SURFACE WATER; ESS-DIVE CSV File Formatting Guidelines Reporting Format; ESS-DIVE File Level Metadata Reporting Format; Hydrobiogeochemical function; Meta-analysis; NO3_; Nitrate; River; Stream; Time-since-fire; Watershed; Wildfire

OSTI Identifier:: 2319038

DOI:: https://doi.org/10.15485/2319038

Citation Formats


                    Cavaiani, Jake, Regier, Peter, Roebuck, Alan, Barnes, Morgan, Garayburu-Caruso, Vanessa A., Gillespie, Xia, McKever, Sophia A., Renteria, Lupita, Forbes, Brieanne, Powers-McCormack, Beck, and Myers-Pigg, Allison. Data and scripts associated with a manuscript on a meta-analysis synthesizing stream biogeochemical response to wildfires across space and time (v2).  United States: N. p., 2024. 
        Web.  doi:10.15485/2319038.

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                    Cavaiani, Jake, Regier, Peter, Roebuck, Alan, Barnes, Morgan, Garayburu-Caruso, Vanessa A., Gillespie, Xia, McKever, Sophia A., Renteria, Lupita, Forbes, Brieanne, Powers-McCormack, Beck, & Myers-Pigg, Allison. Data and scripts associated with a manuscript on a meta-analysis synthesizing stream biogeochemical response to wildfires across space and time (v2).  United States.  doi:https://doi.org/10.15485/2319038

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                    Cavaiani, Jake, Regier, Peter, Roebuck, Alan, Barnes, Morgan, Garayburu-Caruso, Vanessa A., Gillespie, Xia, McKever, Sophia A., Renteria, Lupita, Forbes, Brieanne, Powers-McCormack, Beck, and Myers-Pigg, Allison. 2024.  
"Data and scripts associated with a manuscript on a meta-analysis synthesizing stream biogeochemical response to wildfires across space and time (v2)".  United States.  doi:https://doi.org/10.15485/2319038.  https://www.osti.gov/servlets/purl/2319038. Pub date:Wed Feb 28 23:00:00 EST 2024

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@article{osti_2319038,

  title        = {Data and scripts associated with a manuscript on a meta-analysis synthesizing stream biogeochemical response to wildfires across space and time (v2)},

  author       = {Cavaiani, Jake and Regier, Peter and Roebuck, Alan and Barnes, Morgan and Garayburu-Caruso, Vanessa A. and Gillespie, Xia and McKever, Sophia A. and Renteria, Lupita and Forbes, Brieanne and Powers-McCormack, Beck and Myers-Pigg, Allison},

  abstractNote = {This data package is associated with the publication “Catchment characteristics modulate the influence of wildfires on nitrate and dissolved organic carbon in lotic systems across space and time: A meta-analysis” submitted to Global Biogeochemical Cycles (Cavaiani et al. 2025). This study uses meta-analytical techniques to evaluate the effect of wildfire on in-stream responses in burned and unburned watersheds. The study aims to provide additional insight into the range of responses and net influences that wildfires have on hydro-biogeochemistry across broad spatial scales, burn extents, and the persistence of water-quality change. This study compiles data and metadata from 18 total publications that includes 1) surface water geochemistry data (dissolved organic carbon; nitrate), 2) climate classifications, 3) year of the wildfire, 4) the time lag between when the fire occurred and when the sampling occurred, and 5) study design of the publication. In total, this meta-analysis draws data that spans 8 climate guilds, 3 biomes, 62 watersheds, and 20 unique wildfires. See Sites_meta_data.csv for citations of the papers used in this meta-analysis. All R scripts and the associated data can also be found on GitHub at https://github.com/river-corridors-sfa/rc_sfa-rc-3-wenas-meta. This data package was originally published in March 2024. It was updated in April 2025 (v2; new and modified files). See the change history section in the readme for more details. This data package contains five primary folders that include the following: (1) inputs; (2) output for analysis; (3) initial plots; (4) R scripts; and (5) GIS data. The data package also contains a data dictionary (dd) that provides column header definitions and a file-level metadata (flmd) file that describes every file. The “inputs” folder contains a list of all publications identified during the formal web search and an indication of whether each publication was included in the final analysis. Additionally, it includes site-level metadata, catchment characteristics, and GIS data for all publications included in the final analysis. The “Output_for_analysis” folder contains all data frames and figures generated from each R script used for additional data analysis. The “initial_plots” folder includes all exploratory figures that will be included in a supplemental and figures that will be submitted with the manuscript for publication. The “R_scripts” folder contains the scripts that perform all the data manipulations, statistical analyses, and plots. The “gis_data” folder includes shape files for each fire included in this meta-analysis. This data package contains the following file types: csv, pdf, jpeg, cpg, dbf, prj, shp, shp.ea.iso.xml, shp.iso.xml, shx.},

  doi          = {10.15485/2319038},

  journal      = {},

  number       = ,

  volume       = ,

  place        = {United States},

  year         = {Wed Feb 28 23:00:00 EST 2024},

  month        = {Wed Feb 28 23:00:00 EST 2024}

}

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DOI: https://doi.org/10.15485/2319038

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