A reporting format for field measurements of soil respiration

Journal Article · Sat May 01 00:00:00 EDT 2021 · Ecological Informatics

DOI:https://doi.org/10.1016/j.ecoinf.2021.101280· OSTI ID:1797420

Bond-Lamberty, Benjamin  ^[1]; Christianson, Danielle S. ^[2]; Crystal-Ornelas, Robert ^[2]; Mathes, Kayla ^[3]; Pennington, Stephanie C. ^[1]

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1. BATTELLE (PACIFIC NW LAB)
2. Lawrence Berkeley National Laboratory
3. Virginia Commonwealth University

Field observations of the soil-to-atmosphere CO2 flux–soil respiration, RS–are a prime example of ‘long tail’ data that historically have had neither centralized databases nor an agreed-upon reporting format. This has hindered scientific transparency, analytical reproducibility, and novel syntheses with respect to this globally-important component of the carbon cycle. Here we propose a new data and metadata reporting format for RS data, based on engagement with a wide range of researchers in the field as well as expert advisory panels. Our goal was a reporting format that would be relevant and useful for synthesis activities, and optimizing data discoverability and usability while not placing an undue burden on data contributors. We describe previous RS data collection efforts, lessons learned from related databases and data-oriented networks (e.g. FLUXNET) in earth and ecological sciences, and the process of community consultation. The proposed reporting format focuses on chamber-level data and metadata, specifying measurement conditions and, for a given measurement period defined by beginning and ending timestamps, a mean RS flux (or CO2 concentration) and associated ancillary measurements. Fundamentally, this format aims to enable findable, accessible, interoperable, and reusable data, while providing ‘future-proofing’ capabilities to support reanalyses using as yet unknown algorithms or approaches. Finally, this proposed RS reporting format is available online, and is intended to be a dynamic document, subject to further community feedback and/or change in the future.

• Research Organization: Pacific Northwest National Lab. (PNNL), Richland, WA (United States)
• Sponsoring Organization: USDOE
• DOE Contract Number: AC05-76RL01830
• OSTI ID: 1797420
• Report Number(s): PNNL-SA-158713
• Journal Information: Ecological Informatics, Vol. 62
• Country of Publication: United States
• Language: English