FLUXNET-CH <sub>4</sub> : a global, multi-ecosystem dataset and analysis of methane seasonality from freshwater wetlands

Kyle Delwiche(Stanford University), Sara Knox(University of British Columbia), Avni Malhotra(Stanford University), Etienne Fluet‐Chouinard(Stanford University), Gavin McNicol(Stanford University), Sarah Féron(Universidad de Santiago de Chile), Zutao Ouyang(Stanford University), Dario Papale(Università degli Studi della Tuscia), Carlo Trotta(CMCC Foundation - Euro-Mediterranean Center on Climate Change), Eleonora Canfora(CMCC Foundation - Euro-Mediterranean Center on Climate Change), You-Wei Cheah(Lawrence Berkeley National Laboratory), Danielle Christianson(Lawrence Berkeley National Laboratory), Ma. Carmelita Alberto(International Rice Research Institute), Pavel Alekseychik(Natural Resources Institute Finland), Mika Aurela(Finnish Meteorological Institute), Dennis Baldocchi(University of California, Berkeley), Sheel Bansal(United States Geological Survey), David P. Billesbach(University of Nebraska–Lincoln), Gil Bohrer(The Ohio State University), Rosvel Bracho(University of Florida), Nina Buchmann(ETH Zurich), David I. Campbell(University of Waikato), Gerardo Celis(University of Florida), Jiquan Chen(Michigan State University), Weinan Chen(Chinese Academy of Sciences), Housen Chu(Lawrence Berkeley National Laboratory), Higo J. Dalmagro(Universidade de Cuiabá), Sigrid Dengel(Lawrence Berkeley National Laboratory), Ankur R. Desai(University of Wisconsin–Madison), Matteo Detto(Princeton University), A. J. Dolman(Vrije Universiteit Amsterdam), Elke Eichelmann(University College Dublin), E. S. Euskirchen(University of Alaska Fairbanks), Daniela Famulari(Istituto per il Sistema Produzione Animale in Ambiente Mediterraneo), Kathrin Fuchs(Karlsruhe Institute of Technology), Mathias Goeckede(Max Planck Institute for Biogeochemistry), Sébastien Gogo(Université d'Orléans), Mangaliso J. Gondwe(University of Botswana), Jordan P. Goodrich(University of Waikato), Pia Gottschalk(GFZ Helmholtz Centre for Geosciences), Scott L. Graham(Manaaki Whenua – Landcare Research), Martin Heimann(Max Planck Institute for Biogeochemistry), Manuel Helbig(Dalhousie University), Carole Helfter(UK Centre for Ecology & Hydrology), Kyle S. Hemes(Palo Alto Institute), Takashi Hirano(Hokkaido University), David Y. Hollinger(Northern Research Station), Lukas Hörtnagl(ETH Zurich), Hiroki Iwata(Shinshu University), Adrien Jacotot(Université d'Orléans), Gerald Jurasinski(University of Rostock), Minseok Kang(Seoul National University), Kuno Kasak(University of Tartu), John S. King(North Carolina State University), Janina Klatt(Weihenstephan-Triesdorf University of Applied Sciences), Franziska Koebsch(University of Rostock), Ken W. Krauss(United States Geological Survey), Derrick Y.F. Lai(Chinese University of Hong Kong), Annalea Lohila(Finnish Meteorological Institute), Ivan Mammarella(University of Helsinki), Luca Belelli Marchesini(Fondazione Edmund Mach), Giovanni Manca(Joint Research Centre), Jaclyn Hatala Matthes(Wellesley College), Trofim C. Maximov(Institute of Oil and Gas Problems of the Siberian Branch of the RAS), Lutz Merbold(International Livestock Research Institute), Bhaskar Mitra(Northern Arizona University), Timothy H. Morin(Purchase College), Eiko Nemitz(UK Centre for Ecology & Hydrology), Mats B. Nilsson(Swedish University of Agricultural Sciences), Shuli Niu(Chinese Academy of Sciences), Walter C. Oechel(San Diego State University), Patricia Y. Oikawa(California State University System), Keisuke Ono(National Agriculture and Food Research Organization), Matthias Peichl(Swedish University of Agricultural Sciences), Olli Peltola(Finnish Meteorological Institute), Michele L. Reba(Delta Water Management Research Unit), Andrew D. Richardson(Northern Arizona University), W. J. Riley(Lawrence Berkeley National Laboratory), Benjamin R. K. Runkle(University of Arkansas at Fayetteville), Youngryel Ryu(Seoul National University), Torsten Sachs(GFZ Helmholtz Centre for Geosciences), Ayaka Sakabe(Kyoto University), Camilo Rey‐Sánchez(University of California, Berkeley), Edward A. G. Schuur(Northern Arizona University), Karina V. R. Schäfer(Rutgers, The State University of New Jersey), Oliver Sonnentag(Université de Montréal), Jed P. Sparks(Cornell University), Ellen Stuart‐Haëntjens(United States Geological Survey), Cove Sturtevant(National Ecological Observatory Network), Ryan C. Sullivan(Argonne National Laboratory), Daphne Szutu(University of California, Berkeley), Jonathan E. Thom(University of Wisconsin–Madison), Margaret Torn(Lawrence Berkeley National Laboratory), Eeva‐Stiina Tuittila(University of Eastern Finland), Jessica Turner(University of Wisconsin–Madison), Masahito Ueyama(Osaka Prefecture University), Alex Valach(University of California, Berkeley), Rodrigo Vargas(University of Delaware), Andrej Varlagin(Severtsov Institute of Ecology and Evolution), Alma Vázquez‐Lule(University of Delaware), Joseph Verfaillie(University of California, Berkeley), Timo Vesala(University of Helsinki), George L. Vourlitis(California State University, San Marcos), Eric J. Ward(United States Geological Survey), Christian Wille(GFZ Helmholtz Centre for Geosciences), Georg Wohlfahrt(Universität Innsbruck), Guan Xhuan Wong, Zhen Zhang(University of Maryland, College Park), Donatella Zona(San Diego State University), Lisamarie Windham‐Myers(United States Geological Survey), Benjamin Poulter(Goddard Space Flight Center), Robert B. Jackson(Palo Alto Institute)
Earth system science data
July 29, 2021
Cited by 193Open Access
Full Text

Abstract

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 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.


Related Papers

No related papers found

Powered by citation graph analysis