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Substantial hysteresis in emergent temperature sensitivity of global wetland CH4 emissions

Chang KY 1 , Riley WJ 2 , Knox SH 3 , Jackson RB 4 , McNicol G 4 , Poulter B 5 Show all authors , Aurela M 6 , Baldocchi D 7 , Bansal S 8 , Bohrer G 9 , Campbell DI 10 , Cescatti A 11 , Chu H 12 , Delwiche KB 4 , Desai AR 13 , Euskirchen E 14 , Friborg T 15 , Goeckede M 16 , Helbig M 17 , Hemes KS 18 , Hirano T 19 , Iwata H 20 , Kang M 21 , Keenan T 12 , Krauss KW 22 , Lohila A 6 , Mammarella I 23 , Mitra B 24 , Miyata A 25 , Nilsson MB 26 , Noormets A 27 , Oechel WC 28 , Papale D 29 , Peichl M 26 , Reba ML 30 , Rinne J 31 , Runkle BRK 32 , Ryu Y 33 , Sachs T 34 , Schäfer KVR 35 , Schmid HP 36 , Shurpali N 37 , Sonnentag O 38 , Tang ACI 39 , Torn MS 12 , Trotta C 29 , Tuittila ES 40 , Ueyama M 41 , Vargas R 42 , Vesala T 23 , Windham-Myers L 43 , Zhang Z 44 , Zona D 28

Affiliations 

  • 1 Climate and Ecosystem Sciences Division, Lawrence Berkeley National Laboratory, Berkeley, CA, USA. ckychang@lbl.gov
  • 2 Climate and Ecosystem Sciences Division, Lawrence Berkeley National Laboratory, Berkeley, CA, USA. wjriley@lbl.gov
  • 3 Department of Geography, The University of British Columbia, Vancouver, BC, Canada
  • 4 Department of Earth System Science, Stanford University, Stanford, CA, USA
  • 5 NASA Goddard Space Flight Center, Biospheric Sciences Laboratory, Greenbelt, MD, USA
  • 6 Finnish Meteorological Institute, Helsinki, Finland
  • 7 Department of Environmental Science, Policy & Management, UC Berkeley, Berkeley, CA, USA
  • 8 U.S. Geological Survey, Northern Prairie Wildlife Research Center, Jamestown, ND, USA
  • 9 Department of Civil, Environmental and Geodetic Engineering, The Ohio State University, Columbus, OH, USA
  • 10 School of Science, University of Waikato, Hamilton, New Zealand
  • 11 European Commission, Joint Research Centre (JRC), Ispra, Italy
  • 12 Climate and Ecosystem Sciences Division, Lawrence Berkeley National Laboratory, Berkeley, CA, USA
  • 13 Department of Atmospheric and Oceanic Sciences, University of Wisconsin-Madison, Madison, WI, USA
  • 14 University of Alaska Fairbanks, Institute of Arctic Biology, Fairbanks, AK, USA
  • 15 Department of Geosciences and Natural Resource Management, University of Copenhagen, Copenhagen K, Denmark
  • 16 Max Planck Institute for Biogeochemistry, Jena, Germany
  • 17 School of Geography and Earth Sciences, McMaster University, Hamilton, ON, Canada
  • 18 Woods Institute for the Environment, Stanford University, Stanford, CA, USA
  • 19 Graduate School of Agriculture, Hokkaido University, Sapporo, Japan
  • 20 Department of Environmental Science, Faculty of Science, Shinshu University, Matsumoto, Japan
  • 21 National Center for AgroMeteorology, Seoul, South Korea
  • 22 U.S. Geological Survey, Wetland and Aquatic Research Center, Lafayette, LA, USA
  • 23 Institute for Atmosphere and Earth System Research/Physics, Faculty of Science, University of Helsink, Helsinki, Finland
  • 24 Department of Ecology and Conservation Biology, Texas A&M University, College Station, TX, USA
  • 25 Institute for Agro-Environmental Sciences, National Agriculture and Food Research Organization, Tsukuba, Japan
  • 26 Department of Forest Ecology and Management, Swedish University of Agricultural Sciences, Umeå, Sweden
  • 27 Department of Ecosystem Science and Management, Texas A&M University, College Station, TX, USA
  • 28 Department of Biology, San Diego State University, San Diego, CA, USA
  • 29 DIBAF, Università degli Studi della Tuscia, Largo dell'Università, Viterbo, Italy
  • 30 United States Department of Agriculture, Agricultural Research Service, Delta Water Management Research Service, Jonesboro, AR, USA
  • 31 Department of Physical Geography and Ecosystem Science, Lund University, Lund, Sweden
  • 32 Department of Biological and Agricultural Engineering, University of Arkansas, Fayetteville, AR, USA
  • 33 Department of Landscape Architecture and Rural Systems Engineering, Seoul National University, Seoul, South Korea
  • 34 GFZ German Research Centre for Geoscience, Potsdam, Germany
  • 35 Department of Biological Sciences, Rutgers University Newark, Newark, NJ, USA
  • 36 Institute of Meteorology and Climatology - Atmospheric Environmental Research (IMK-IFU), Karlsruhe Institute of Technology (KIT), Garmisch-Partenkirchen, Germany
  • 37 Production Systems, Natural Resources Institute Finland, Maaninka, Finland
  • 38 Département de Géographie & Centre d'Études Nordiques, Montréal, QC, Canada
  • 39 Sarawak Tropical Peat Research Institute, Sarawak, Malaysia
  • 40 School of Forest Sciences, University of Eastern Finland, Joensuu, Finland
  • 41 Graduate School of Life and Environmental Sciences, Osaka Prefecture University, Osaka, Japan
  • 42 Department of Plant and Soil Sciences, University of Delaware, Newark, DE, USA
  • 43 Water Mission Area, U.S. Geological Survey, Menlo Park, CA, USA
  • 44 Department of Geographical Sciences, University of Maryland, College Park, MD, USA
Nat Commun, 2021 Apr 15;12(1):2266.
PMID: 33859182 DOI: 10.1038/s41467-021-22452-1

Abstract

Wetland methane (CH4) emissions ([Formula: see text]) are important in global carbon budgets and climate change assessments. Currently, [Formula: see text] projections rely on prescribed static temperature sensitivity that varies among biogeochemical models. Meta-analyses have proposed a consistent [Formula: see text] temperature dependence across spatial scales for use in models; however, site-level studies demonstrate that [Formula: see text] are often controlled by factors beyond temperature. Here, we evaluate the relationship between [Formula: see text] and temperature using observations from the FLUXNET-CH4 database. Measurements collected across the globe show substantial seasonal hysteresis between [Formula: see text] and temperature, suggesting larger [Formula: see text] sensitivity to temperature later in the frost-free season (about 77% of site-years). Results derived from a machine-learning model and several regression models highlight the importance of representing the large spatial and temporal variability within site-years and ecosystem types. Mechanistic advancements in biogeochemical model parameterization and detailed measurements in factors modulating CH4 production are thus needed to improve global CH4 budget assessments.

* Title and MeSH Headings from MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine.

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