NASA Logo

NTRS

NTRS - NASA Technical Reports Server

Back to Results
FLUXNET-CH4: a global, multi-ecosystem dataset and analysis of methane seasonality from freshwater wetlands 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. Our representativeness analysis suggests that the freshwater wetland sites in the dataset cover global wetland bioclimatic attributes (encompassing energy, moisture, and vegetation-related parameters) in arctic, boreal, and temperate regions but only sparsely cover humid tropical regions. Seasonality metrics of wetland CH4 emissions vary considerably across latitudinal bands. In freshwater wetlands (except those between 20°S to 20°N) the spring onset of elevated CH4 emissions starts 3 d earlier, and the CH4 emission season lasts 4 d longer, for each degree Celsius increase in mean annual air temperature. On average, the spring onset of increasing CH4 emissions lags behind soil warming by 1 month, with very few sites experiencing increased CH4 emissions prior to the onset of soil warming. In contrast, roughly half of these sites experience the spring onset of rising CH4 emissions prior to the spring increase in gross primary productivity (GPP). The timing of peak summer CH4 emissions does not correlate with the timing for either peak summer temperature or peak GPP. Our results provide seasonality parameters for CH4 modeling and highlight seasonality metrics that cannot be predicted by temperature or GPP (i.e., seasonality of CH4 peak). FLUXNET-CH4 is a powerful new resource for diagnosing and understanding the role of terrestrial ecosystems and climate drivers in the global CH4 cycle, and future additions of sites in tropical ecosystems and site years of data collection will provide added value to this database. All seasonality parameters are available at https://doi.org/10.5281/zenodo.4672601 (Delwiche et al., 2021). Additionally, raw FLUXNET-CH4 data used to extract seasonality parameters can be downloaded from https://fluxnet.org/data/fluxnet-ch4-community-product/ (last access: 7 April 2021), and a complete list of the 79 individual site data DOIs is provided in Table 2 of this paper.
Document ID
20220000016
Acquisition Source
Goddard Space Flight Center
Document Type
Reprint (Version printed in journal)
Authors
Kyle B. Delwiche ORCID
(Stanford University Stanford, California, United States)
Sara Helen Knox ORCID
(University of British Columbia Vancouver, British Columbia, Canada)
Avni Malhotra ORCID
(Stanford University Stanford, California, United States)
Etienne Fluet-Chouinard
(Stanford University Stanford, California, United States)
Gavin McNicol ORCID
(Stanford University Stanford, California, United States)
Sarah Feron
(Stanford University Stanford, California, United States)
Zutao Ouyang
(Stanford University Stanford, California, United States)
Dario Papale ORCID
(Tuscia University Viterbo, Italy)
Carlo Trotta ORCID
(Euro-Mediterranean Center for Climate Change Lecce, Italy)
Eleonora Canfora
(Euro-Mediterranean Center for Climate Change Lecce, Italy)
You-Wei Cheah
(Lawrence Berkeley National Laboratory Berkeley, California, United States)
Danielle Christianson
(Lawrence Berkeley National Laboratory Berkeley, California, United States)
Ma. Carmelita R. Alberto
(International Rice Research Institute Los Baños, Philippines)
Pavel Alekseychik ORCID
(Natural Resources Institute Finland Helsinki, Finland)
Mika Aurela ORCID
(Finnish Meteorological Institute Helsinki, Finland)
Dennis Baldocchi ORCID
(University of California, Berkeley Berkeley, California, United States)
Sheel Bansal ORCID
(United States Geological Survey Reston, Virginia, United States)
David P. Billesbach
(University of Nebraska–Lincoln Lincoln, Nebraska, United States)
Gil Bohrer ORCID
(The Ohio State University Columbus, Ohio, United States)
Rosvel Bracho ORCID
(University of Florida Gainesville, Florida, United States)
Nina Buchmann ORCID
(ETH Zurich Zurich, Switzerland)
David I. Campbell
(University of Waikato Hamilton, New Zealand)
Gerardo Celis
(University of Florida Gainesville, Florida, United States)
Jiquan Chen ORCID
(Michigan State University East Lansing, Michigan, United States)
Weinan Chen
(Institute of Geographic Sciences and Natural Resources Research Beijing, China)
Housen Chu ORCID
(Lawrence Berkeley National Laboratory Berkeley, California, United States)
Higo J. Dalmagro ORCID
(Universidade de Cuiabá Cuiabá, Brazil)
Sigrid Dengel
(Lawrence Berkeley National Laboratory Berkeley, California, United States)
Ankur R. Desai ORCID
(University of Wisconsin–Madison Madison, Wisconsin, United States)
Matteo Detto
(Princeton University Princeton, New Jersey, United States)
Han Dolman ORCID
(VU Amsterdam Amsterdam, Noord-Holland, Netherlands)
Elke Eichelmann ORCID
(University College Dublin Dublin, Dublin, Ireland)
Eugenie Euskirchen ORCID
(University of Alaska Fairbanks Fairbanks, Alaska, United States)
Daniela Famulari ORCID
(National Research Council Rome, Italy)
Kathrin Fuchs
(Karlsruhe Institute of Technology Karlsruhe, Germany)
Zhen Zhang ORCID
(University of Maryland, College Park College Park, Maryland, United States)
Benjamin Poulter ORCID
(Goddard Space Flight Center Greenbelt, Maryland, United States)
Date Acquired
January 14, 2022
Publication Date
July 29, 2021
Publication Information
Publication: Earth System Science Data
Publisher: Copernicus Publications
Volume: 13
Issue: 7
Issue Publication Date: July 1, 2021
ISSN: 1866-3508
e-ISSN: 1866-3516
URL: https://essd.copernicus.org/articles/13/3607/2021/essd-13-3607-2021.html
Subject Category
Earth Resources And Remote Sensing
Funding Number(s)
WBS: 967701.02.06.01.27
CONTRACT_GRANT: GBMF5439
CONTRACT_GRANT: NSF CBET CAREER 1752083
CONTRACT_GRANT: JPMXD1420318865
CONTRACT_GRANT: JSPS KAKENHI 20K21849
PROJECT: RINGO (GA 730944) H2020 EU
PROJECT: SNF project M4P (40FA40_154245/1)
PROJECT: InnoFarm (407340_172433)
PROJECT: (GA 820852) H2020 EU
CONTRACT_GRANT: DEAC02−05CH11231
CONTRACT_GRANT: NSF GRFP (DGE−1747503)
CONTRACT_GRANT: NTL LTER (DEB−1440297)
CONTRACT_GRANT: NRF−2018 R1C1B6002917
CONTRACT_GRANT: NE/N015746/1
CONTRACT_GRANT: NSF 1652594
CONTRACT_GRANT: NIFA 2011-67003-30371
CONTRACT_GRANT: AmeriFlux 7079856
CONTRACT_GRANT: DE-AC02−06CH11357
PROJECT: CUHK 458913
Distribution Limits
Public
Copyright
Portions of document may include copyright protected material.
Technical Review
External Peer Committee
Keywords
FLUXNET-CH4
freshwater wetlands
seasonality
No Preview Available