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FLUXNET-CH4: a global, multi-ecosystem dataset and analysis of methane seasonality from freshwater wetlands

Delwiche, Kyle B.; Knox, Sara Helen; Malhotra, Avni; Fluet-Chouinard, Etienne; McNicol, Gavin; Feron, Sarah; Ouyang, Zutao; Papale, Dario; Trotta, Carlo; Canfora, Eleonora; Cheah, You-Wei; Christianson, Danielle; Alberto, Ma. Carmelita R.; Alekseychik, Pavel; Aurela, Mika; Baldocchi, Dennis; Bansal, Sheel; Billesbach, David P.; Bohrer, Gil; ... mehr

Abstract:

Methane (CH4) emissions from natural landscapes constitute roughly half of global CH4 contributions to the atmosphere, yet large uncertainties remain in the absolute magnitude and the seasonality of emission quantities and drivers. Eddy covariance (EC) measurements of CH4 flux are ideal for constraining ecosystem-scale CH4 emissions due to quasi-continuous and high-temporal-resolution CH4 flux measurements, coincident carbon dioxide, water, and energy flux measurements, lack of ecosystem disturbance, and increased availability of datasets over the last decade. Here, we (1) describe the newly published dataset, FLUXNET-CH4 Version 1.0, the first open-source global dataset of CH4 EC measurements (available at https://fluxnet.org/data/fluxnet-ch4-community-product/, last access: 7 April 2021). FLUXNET-CH4 includes half-hourly and daily gap-filled and non-gap-filled aggregated CH4 fluxes and meteorological data from 79 sites globally: 42 freshwater wetlands, 6 brackish and saline wetlands, 7 formerly drained ecosystems, 7 rice paddy sites, 2 lakes, and 15 uplands. Then, we (2) evaluate FLUXNET-CH4 representativeness for freshwater wetland coverage globally because the majority of sites in FLUXNET-CH4 Version 1.0 are freshwater wetlands which are a substantial source of total atmospheric CH4 emissions; and (3) we provide the first global estimates of the seasonal variability and seasonality predictors of freshwater wetland CH4 fluxes. ... mehr

Zugehörige Institution(en) am KIT Institut für Meteorologie und Klimaforschung – Atmosphärische Umweltforschung (IMK-IFU)
Publikationstyp Zeitschriftenaufsatz
Publikationsjahr 2021
Sprache Englisch
Identifikator ISSN: 1866-3516
KITopen-ID: 1000139542
HGF-Programm 12.11.31 (POF IV, LK 01) New observational systems and cross platform integration
Erschienen in Earth system science data
Verlag Copernicus Publications
Band 13
Heft 7
Seiten 3607–3689
Vorab online veröffentlicht am 29.07.2021
Nachgewiesen in Scopus
Web of Science
OpenAlex
Dimensions
Globale Ziele für nachhaltige Entwicklung Ziel 13 – Maßnahmen zum Klimaschutz

Verlagsausgabe §
DOI: 10.5445/IR/1000139542
Veröffentlicht am 29.10.2021
Originalveröffentlichung
DOI: 10.5194/essd-13-3607-2021
Scopus
Zitationen: 118
Web of Science
Zitationen: 125
Dimensions
Zitationen: 129
Seitenaufrufe: 119
seit 04.11.2021
Downloads: 107
seit 04.11.2021
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