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

Journal Article · · Earth System Science Data (Online)
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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.
Research Organization:
Argonne National Laboratory (ANL), Argonne, IL (United States); Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States); Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States). Atmospheric Radiation Measurement (ARM) Data Center
Sponsoring Organization:
European Union, Horizon 2020 Research and Innovation Programme; Gordon and Betty Moore Foundation; Japan Society for the Promotion of Science (JSPS); KAKENHI; National Research Foundation (NRF) of Korea; National Science Foundation (NSF); Natural Environment Research Council (NERC); Swiss National Science Foundation (SNSF); USDOE Office of Science (SC), Biological and Environmental Research (BER)
Contributing Organization:
Argonne National Laboratory (ANL); Brookhaven National Laboratory (BNL); Oak Ridge National Laboratory (ORNL); Pacific Northwest National Laboratory (PNNL); The Global Carbon Project
Grant/Contract Number:
AC02-05CH11231; AC02-06CH11357
OSTI ID:
1813306
Alternate ID(s):
OSTI ID: 1820336
OSTI ID: 1837081
Journal Information:
Earth System Science Data (Online), Journal Name: Earth System Science Data (Online) Journal Issue: 7 Vol. 13; ISSN 1866-3516
Publisher:
Copernicus PublicationsCopyright Statement
Country of Publication:
United States
Language:
English

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dataset January 2020
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FLUXNET-CH4 FI-Sii Siikaneva dataset January 2020
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FLUXNET-CH4 IT-BCi Borgo Cioffi dataset January 2020
FLUXNET-CH4 IT-Cas Castellaro dataset January 2020
FLUXNET-CH4 JP-BBY Bibai bog dataset January 2020
FLUXNET-CH4 JP-Mse Mase rice paddy field dataset January 2020
FLUXNET-CH4 JP-SwL Suwa Lake dataset January 2020
FLUXNET-CH4 KR-CRK Cheorwon Rice paddy dataset January 2020
FLUXNET-CH4 MY-MLM Maludam National Park dataset January 2020
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FLUXNET-CH4 US-BZF Bonanza Creek Rich Fen dataset January 2020
FLUXNET-CH4 US-BZS Bonanza Creek Black Spruce dataset January 2020
FLUXNET-CH4 US-CRT Curtice Walter-Berger cropland dataset January 2020
FLUXNET-CH4 US-DPW Disney Wilderness Preserve Wetland dataset January 2020
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FLUXNET-CH4 US-Tw4 Twitchell East End Wetland dataset January 2020
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FLUXNET-CH4 US-Uaf University of Alaska, Fairbanks dataset January 2020
FLUXNET-CH4 US-WPT Winous Point North Marsh dataset January 2020
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FLUXNET-CH4: A global, multi-ecosystem dataset and analysis of methane seasonality from freshwater wetlands journal January 2021
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