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Research article - Peer-reviewed, 2020

COSORE: A community database for continuous soil respiration and other soil-atmosphere greenhouse gas flux data

Bond-Lamberty, Ben; Christianson, Danielle S.; Malhotra, Avni; Pennington, Stephanie C.; Sihi, Debjani; AghaKouchak, Amir; Anjileli, Hassan; Arain, M. Altaf; Armesto, Juan J.; Ashraf, Samaneh; Ataka, Mioko; Baldocchi, Dennis; Black, Thomas Andrew; Buchmann, Nina; Carbone, Mariah S.; Chang, Shih-Chieh; Crill, Patrick; Curtis, Peter S.; Davidson, Eric A.; Desai, Ankur R.;
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Abstract

Globally, soils store two to three times as much carbon as currently resides in the atmosphere, and it is critical to understand how soil greenhouse gas (GHG) emissions and uptake will respond to ongoing climate change. In particular, the soil-to-atmosphere CO(2)flux, commonly though imprecisely termed soil respiration (R-S), is one of the largest carbon fluxes in the Earth system. An increasing number of high-frequencyR(S)measurements (typically, from an automated system with hourly sampling) have been made over the last two decades; an increasing number of methane measurements are being made with such systems as well. Such high frequency data are an invaluable resource for understanding GHG fluxes, but lack a central database or repository. Here we describe the lightweight, open-source COSORE (COntinuous SOil REspiration) database and software, that focuses on automated, continuous and long-term GHG flux datasets, and is intended to serve as a community resource for earth sciences, climate change syntheses and model evaluation. Contributed datasets are mapped to a single, consistent standard, with metadata on contributors, geographic location, measurement conditions and ancillary data. The design emphasizes the importance of reproducibility, scientific transparency and open access to data. While being oriented towards continuously measuredR(S), the database design accommodates other soil-atmosphere measurements (e.g. ecosystem respiration, chamber-measured net ecosystem exchange, methane fluxes) as well as experimental treatments (heterotrophic only, etc.). We give brief examples of the types of analyses possible using this new community resource and describe its accompanying R software package.

Keywords

carbon dioxide; greenhouse gases; methane; open data; open science; soil respiration

Published in

Global Change Biology
2020, volume: 26, number: 12, pages: 7268-7283
Publisher: WILEY

Authors' information

Bond-Lamberty, Ben
University System of Maryland
Christianson, Danielle S.
United States Department of Energy (DOE)
Malhotra, Avni
Stanford University
Pennington, Stephanie C.
University System of Maryland
Sihi, Debjani
Emory University
AghaKouchak, Amir
University of California Irvine
Anjileli, Hassan
University of California Irvine
Arain, M. Altaf
McMaster University
Armesto, Juan J.
Pontificia Universidad Catolica de Chile
Ashraf, Samaneh
Concordia University - Canada
Ataka, Mioko
Kyoto University
Baldocchi, Dennis
University of California Berkeley
Black, Thomas Andrew
University of British Columbia
Buchmann, Nina
ETH Zurich
Carbone, Mariah S.
Northern Arizona University
Chang, Shih-Chieh
National Dong Hwa University
Crill, Patrick
Stockholm University
Curtis, Peter S.
Ohio State University
Davidson, Eric A.
University System of Maryland
Desai, Ankur R.
University of Wisconsin Madison
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Sustainable Development Goals

SDG13 Climate action

UKÄ Subject classification

Climate Research

Publication Identifiers

DOI: https://doi.org/10.1111/gcb.15353

URI (permanent link to this page)

https://res.slu.se/id/publ/108251