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

Files in This Item:
 File SizeFormat
Downloadgcb.15353-1.pdf1.41 MBAdobe PDF
Title: COSORE: A community database for continuous soil respiration and other soil‐atmosphere greenhouse gas flux data
Authors: Bond‐Lamberty, BenChristianson, Danielle SMalhotra, AvniOsborne, Bruce A.et al.
Permanent link: http://hdl.handle.net/10197/12610
Date: 7-Oct-2020
Online since: 2021-11-09T16:40:57Z
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.
Funding Details: University College Dublin
Funding Details: U.S. Department of Energy
Swiss National Science Foundation
China Scholarship Council
Beijing Academy of Agriculture and Forestry Sciences
United States Department of Agriculture
Swedish Infrastructure for Ecosystem Science
Japan Society for the Promotion of Science
National Commission for Scientific and Technological Research
National Science Foundation
Type of material: Journal Article
Publisher: Wiley
Journal: Global Change Biology
Volume: 26
Issue: 12
Start page: 7268
End page: 7283
Copyright (published version): 2020 the Authors
Keywords: Carbon dioxideGreenhouse gasMethaneOpen dataOpen scienceSoil respiration
DOI: 10.1111/gcb.15353
Language: en
Status of Item: Peer reviewed
ISSN: 1354-1013
This item is made available under a Creative Commons License: https://creativecommons.org/licenses/by/3.0/ie/
Appears in Collections:Biology & Environmental Science Research Collection
Earth Institute Research Collection

Show full item record

Page view(s)

174
Last Week
7
Last month
checked on Nov 30, 2021

Download(s)

10
checked on Nov 30, 2021

Google ScholarTM

Check

Altmetric


If you are a publisher or author and have copyright concerns for any item, please email research.repository@ucd.ie and the item will be withdrawn immediately. The author or person responsible for depositing the article will be contacted within one business day.