Authors

Ben Bond-Lamberty, University of Maryland at College Park
Danielle S. Christianson, Lawrence Berkeley National Laboratory
Avni Malhotra, Stanford University
Stephanie C. Pennington, University of Maryland at College Park
Debjani Sihi, Oak Ridge National Laboratory
Amir AghaKouchak, University of California, Irvine
Hassan Anjileli, University of California, Irvine
M. Altaf Arain, McMaster University
Juan J. Armesto, Pontificia Universidad Católica de Chile
Samaneh Ashraf, Concordia University, Montreal, Quebec, Canada
Mioko Ataka, Kyoto University
Dennis Baldocchi, University of California - Berkeley
Thomas Andrew Black, University of British Columbia
Nina Buchmann, ETH Zurich
Mariah S. Carbone, Northern Arizona University
Shih-Chieh Chang, National Dong Hwa University
Patrick Crill, Stockholm University
Peter S. Curtis, Ohio State University
Eric A. Davidson, University of Maryland
Ankur R. Desai, University of Wisconsin - Madison
John E. Drake, SUNY-ESF
Tarek S. El-Madany, Max Planck Institute for Biogeochemistry
Michael Gavazzi, USDA Forest Service,
Carolyn-Monika Görres, University of Antwerp
Christopher M. Gough, Virginia Commonwealth University
Michael Goulden, University of California, Irvine
Jillian Gregg, Oregon State University
Omar Gutiérrez del Arroyo, University of California - Berkeley
Jin-Sheng He, Peking University
Takashi Hirano, Hokkaido University
Anya Hopple, Pacific Northwest National Laboratory
Holly Hughes, University of Maine
Järvi Järveoja, Swedish University of Agricultural Sciences
Rachhpal Jassal, ETH Zurich
Jinshi Jian, University of Maryland at College Park
Haiming Kan, Beijing Academy of Agriculture and Forestry Sciences
Jason Kaye, The Pennsylvania State University
Yuji Kominami, Forestry and Forest Products Research Institute, Japan
Naishen Liang, National Institute for Environmental Studies, Japan
David Lipson, San Diego State University
Catriona A. Macdonald, Western Sydney University
Kadmiel Maseyk, The Open University
Kayla Mathes, Virginia Commonwealth University
Marguerite Mauritz, University of Texas at El Paso
Melanie A. Mayes, Oak Ridge National Laboratory
Steve McNulty, USDA Forest Service,
Guofang Miao, Fujian Normal University
Mirco Migliavacca, Max Planck Institute for Biogeochemistry
Scott Miller, University at Albany, State University of New York
Chelcy F. Miniat, USDA Forest Service
Jennifer G. Nietz, Ohio State University
Mats B. Nilsson, Swedish University of Agricultural Sciences
Asko Noormets, Texas A&M University, College Station
Hamidreza Norouzi, The City University of New York
Christine S. O'Connell, Chapman UniversityFollow
Bruce Osborne, University College Dublin
Cecilio Oyonarte, University of Almería
Zhuo Pang, Beijing Academy of Agriculture and Forestry Sciences
Matthias Peichl, Swedish University of Agricultural Sciences
Elise Pendall, Western Sydney University
Jorge F. Perez-Quezada, University of Chile
Claire L. Phillips, USDA Agricultural Research Service
Richard P. Phillips, Indiana University - Bloomington
James W. Raich, Iowa State University
Alexandre A. Renchon, Western Sydney University
Nadine K. Ruehr, Karlsruhe Institute of Technology
Enrique P. Sánchez-Cañete, University of Granada
Matthew Saunders, Trinity College Dublin
Kathleen E. Savage, Woods Hole Research Center
Marion Schrumpf, Max Planck Institute for Biogeochemistry
Russell L. Scott, USDA-ARS
Ulli Seibt, University of California, Los Angeles
Whendee L. Silver, University of California - Berkeley
Wu Sun, Carnegie Institution for Science
Daphne Szutu, University of California - Berkeley
Kentaro Takagi, Hokkaido University
Masahiro Takagi, University of Miyazaki
Munemasa Teramoto, National Institute for Environmental Studies, Japan
Mark G. Tjoelker, Western Sydney University
Susan Trumbore, Max Planck Institute for Biogeochemistry
Masahito Ueyama, Osaka Prefecture University
Rodrigo Vargas, University of Delaware
Ruth K. Varner, University of New Hampshire, Durham
Joseph Verfaillie, University of California - Berkeley
Christoph Vogel, The University Of Michigan
Jinsong Wang, Chinese Academy of Sciences
Greg Winston, Cypress Coll
Tana E. Wood, USDA Forest Service International Institute of Tropical Forestry
Juying Wu, Beijing Academy of Agriculture and Forestry Sciences
Thomas Wutzler, Max Planck Institute for Biogeochemistry
Jiye Zeng, National Institute for Environmental Studies, Japan
Tianshan Zha, Beijing Forestry University
Quan Zhang, Wuhan University
Junliang Zou, Beijing Academy of Agriculture and Forestry Sciences

Document Type

Article

Publication Date

10-7-2020

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 CO2 flux, commonly though imprecisely termed soil respiration (RS), is one of the largest carbon fluxes in the Earth system. An increasing number of high-frequency RS 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 measured RS, 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.

Comments

This article was originally published in Global Change Biology, volume 26, issue 12, in 2020. https://doi.org/10.1111/gcb.15353

gcb15353-sup-0001-tables_s1-s3.docx (18 kB)
<a href="https://doi.org/10.1111/gcb.15353">https://doi.org/10.1111/gcb.15353</a>

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