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

  • Kyle B. Delwiche
  • , Sara Helen Knox
  • , Avni Malhotra
  • , Etienne Fluet-Chouinard
  • , Gavin McNicol
  • , Sarah Feron
  • , Zutao Ouyang
  • , Dario Papale
  • , Carlo Trotta
  • , Eleonora Canfora
  • , You Wei Cheah
  • , Danielle Christianson
  • , Ma Carmelita R. Alberto
  • , Pavel Alekseychik
  • , Mika Aurela
  • , Dennis Baldocchi
  • , Sheel Bansal
  • , David P. Billesbach
  • , Gil Bohrer
  • , Rosvel Bracho
  • Nina Buchmann, David I. Campbell, Gerardo Celis, Jiquan Chen, Weinan Chen, Housen Chu, Higo J. Dalmagro, Sigrid Dengel, Ankur R. Desai, Matteo Detto, Han Dolman, Elke Eichelmann, Eugenie Euskirchen, Daniela Famulari, Kathrin Fuchs, Mathias Goeckede, Sébastien Gogo, Mangaliso J. Gondwe, Jordan P. Goodrich, Pia Gottschalk, Scott L. Graham, Martin Heimann, Manuel Helbig, Carole Helfter, Kyle S. Hemes, Takashi Hirano, David Hollinger, Lukas Hörtnagl, Hiroki Iwata, Adrien Jacotot, Gerald Jurasinski, Minseok Kang, Kuno Kasak, John King, Janina Klatt, Franziska Koebsch, Ken W. Krauss, Derrick Y.F. Lai, Annalea Lohila, Ivan Mammarella, Luca Belelli Marchesini, Giovanni Manca, Jaclyn Hatala Matthes, Trofim Maximov, Lutz Merbold, Bhaskar Mitra, Timothy H. Morin, Eiko Nemitz, Mats B. Nilsson, Shuli Niu, Walter C. Oechel, Patricia Y. Oikawa, Keisuke Ono, Matthias Peichl, Olli Peltola, Michele L. Reba, Andrew D. Richardson, William Riley, Benjamin R.K. Runkle, Youngryel Ryu, Torsten Sachs, Ayaka Sakabe, Camilo Rey Sanchez, Edward A. Schuur, Karina V.R. Schäfer, Oliver Sonnentag, Jed P. Sparks, Ellen Stuart-Haëntjens, Cove Sturtevant, Ryan C. Sullivan, Daphne J. Szutu, Jonathan E. Thom, Margaret S. Torn, Eeva Stiina Tuittila, Jessica Turner, Masahito Ueyama, Alex C. Valach, Rodrigo Vargas, Andrej Varlagin, Alma Vazquez-Lule, Joseph G. Verfaillie, Timo Vesala, George L. Vourlitis, Eric J. Ward, Christian Wille, Georg Wohlfahrt, Guan Xhuan Wong, Zhen Zhang, Donatella Zona, Lisamarie Windham-Myers, Benjamin Poulter, Robert B. Jackson
  • Stanford University
  • University of British Columbia
  • Universidad de Santiago de Chile
  • Tuscia University
  • Euro-Mediterranean Center on Climate Change
  • Lawrence Berkeley National Laboratory
  • International Rice Research Institute
  • Luke Natural Resources Institute Finland
  • Finnish Meteorological Institute
  • University of California at Berkeley
  • United States Geological Survey
  • University of Nebraska-Lincoln
  • Ohio State University
  • University of Florida
  • Swiss Federal Institute of Technology Zurich
  • University of Waikato
  • Michigan State University
  • CAS - Institute of Geographical Sciences and Natural Resources Research
  • Universidade de Cuiabá
  • University of Wisconsin-Madison
  • Princeton University
  • Vrije Universiteit Amsterdam
  • University College Dublin
  • University of Alaska Fairbanks
  • National Research Council of Italy
  • Karlsruhe Institute of Technology
  • Max Planck Institute for Biogeochemistry
  • Université d'Orléans
  • University of Botswana
  • Helmholtz Centre Potsdam - German Research Centre for Geosciences
  • Manaaki Whenua - Landcare Research
  • University of Montreal
  • Dalhousie University
  • Centre for Ecology and Hydrology
  • Hokkaido University
  • United States Department of Agriculture
  • Shinshu University
  • University of Rostock
  • National Center for Agro Meteorology
  • University of Tartu
  • North Carolina State University
  • Weihenstephan-Triesdorf University of Applied Sciences
  • Chinese University of Hong Kong
  • University of Helsinki
  • European Commission Joint Research Centre
  • Istituto Agrario San Michele all'Adige
  • Wellesley College
  • RAS
  • International Livestock Research Institute
  • Northern Arizona University
  • SUNY College of Environmental Science and Forestry
  • Swedish University of Agricultural Sciences
  • San Diego State University
  • Cal State East Bay
  • National Agriculture and Food Research Organization
  • USDA-ARS Delta Water Management Research Unit
  • University of Arkansas, Fayetteville
  • Seoul National University
  • Kyoto University
  • Department of Ecology and Evolution
  • National Ecological Observatory Network
  • Argonne National Laboratory
  • University of Eastern Finland
  • Osaka Metropolitan University
  • University of Delaware
  • Russian Academy of Sciences
  • Yugra State University
  • California State University San Marcos
  • University of Innsbruck
  • Sarawak Tropical Peat Research Institute
  • University of Maryland, College Park
  • University of Sheffield
  • NASA Goddard Space Flight Center

Research output: Contribution to journalArticlepeer-review

187 Scopus citations

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. 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 20g g€¯S to 20g g€¯N) the spring onset of elevated CH4 emissions starts 3g€¯d earlier, and the CH4 emission season lasts 4g€¯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 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.

Original languageEnglish
Pages (from-to)3607-3689
Number of pages83
JournalEarth System Science Data
Volume13
Issue number7
DOIs
StatePublished - Jul 29 2021

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