Preprints
https://doi.org/10.5194/essd-2020-136
https://doi.org/10.5194/essd-2020-136

  06 Aug 2020

06 Aug 2020

Review status: a revised version of this preprint was accepted for the journal ESSD and is expected to appear here in due course.

A restructured and updated global soil respiration database (SRDB-V5)

Jinshi Jian1, Rodrigo Vargas2, Kristina Anderson-Teixeira3,4, Emma Stell2, Valentine Herrmann3, Mercedes Horn5, Nazar Kholod1, Jason Manzon6, Rebecca Marchesi3, Darlin Paredes7, and Ben Bond-Lamberty1 Jinshi Jian et al.
  • 1Pacific Northwest National Laboratory, Joint Global Change Research Institute at the University of Maryland– College Park, 5825 University Research Court, Suite 3500, College Park, MD 20740, USA
  • 2Department of Plant and Soil Sciences, University of Delaware, Newark, DE, USA
  • 3Conservation Ecology Center; Smithsonian Conservation Biology Institute; Front Royal, VA, USA
  • 4Center for Tropical Forest Science-Forest Global Earth Observatory; Smithsonian Tropical Research Institute; Panama, Republic of Panama
  • 5University of Vermont, Rubenstein School of Environment and Natural Resources
  • 6University of Maryland
  • 7Georgetown University, School of Foreign Service

Abstract. Field-measured soil respiration (RS, the soil-to-atmosphere CO2 flux) observations were compiled into a global soil respiration database (SRDB) a decade ago, a resource that has been widely used by the biogeochemistry community to advance our understanding of RS dynamics. Novel carbon cycle sciences questions require updated and augmented global information with better interoperability among datasets. Here, we restructured and updated the global RS database to version SRDB-V5. The updated version has all previous fields revised for consistency and simplicity, and it has several new fields to include ancillary information (e.g., RS measurement time, collar insertion depth, collar area). The new SRDB-V5 includes published papers through 2017 (800 independent studies) where total observations increased from 6633 in SRDB-V4 to 10366 in SRDB-V5. The SRDB-V5 features more RS data published in Russian and Chinese scientific literature, has an improved global spatio-temporal coverage, and improved global climate-space representation. We also restructured the database so that it has stronger interoperability with other datasets related to carbon-cycle science. For instance, linking SRDB-V5 with an hourly timescale global soil respiration database (HGRsD) and an open community database for continuous soil respiration and other chamber flux data (COSORE) enables researchers to explore new questions. The updated SRDB-V5 aims to be a data framework for the scientific community to share seasonal to annual field RS measurements, and it provides opportunities for the biogeochemistry community to better understand the spatial and temporal variability of RS, its components, and the overall carbon cycle. The database can be downloaded at https://github.com/bpbond/srdb and ORNL DAAC [Submitted]. All data and code to reproduce the results in this study can be found at: Jian, Jinshi, Bond-Lamberty, Ben. (2020). jinshijian/ESSD: SRDB-V5 first release (Version v1.0.0) [Data set]. Zenodo. http://doi.org/10.5281/zenodo.3876443.

Jinshi Jian et al.

 
Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
Printer-friendly Version - Printer-friendly version Supplement - Supplement

Jinshi Jian et al.

Data sets

jinshijian/ESSD: SRDB-V5 first release (Version v1.0.0) Jian, Jinshi; Bond-Lamberty, Ben https://doi.org/10.5281/zenodo.3876443

Jinshi Jian et al.

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Short summary
Field soil-to-atmosphere CO2 flux (soil respiration, Rs) observations were compiled into a global database (SRDB) a decade ago. Here, we restructured and updated the database to the fifth version, SRDB-V5, with data published through 2017 included. SRDB-V5 aims to be a data framework for the scientific community to share seasonal to annual field Rs measurements, and it provides opportunities for the scientific community to better understand the spatial and temporal variability of Rs.