Substantial hysteresis in emergent temperature sensitivity of global wetland CH4 emissions

Details

• Journal Title:
  Nature Communications
• Personal Author:
  Chang, Kuang-Yu ; Riley, William J. ; Knox, Sara H. ; Jackson, Robert B. ; McNicol, Gavin ; Poulter, Benjamin ; Aurela, Mika ; Baldocchi, Dennis ; Bansal, Sheel ; Bohrer, Gil ; Campbell, David I. ; Cescatti, Alessandro ; Chu, Housen ; Delwiche, Kyle B. ; Desai, Ankur R. ; Euskirchen, Eugenie ; Friborg, Thomas ; Goeckede, Mathias ; Helbig, Manuel ; Hemes, Kyle S. ; Hirano, Takashi ; Iwata, Hiroki ; Kang, Minseok ; Keenan, Trevor ; Krauss, Ken W. ; Lohila, Annalea ; Mammarella, Ivan ; Mitra, Bhaskar ; Miyata, Akira ; Nilsson, Mats B. ; Noormets, Asko ; Oechel, Walter C. ; Papale, Dario ; Peichl, Matthias ; Reba, Michele L. ; Rinne, Janne ; Runkle, Benjamin R. K. ; Ryu, Youngryel ; Sachs, Torsten ; Schäfer, Karina V. R. ; Schmid, Hans Peter ; Shurpali, Narasinha ; Sonnentag, Oliver ; Tang, Angela C. I. ; Torn, Margaret S. ; Trotta, Carlo ; Tuittila, Eeva-Stiina ; Ueyama, Masahito ; Vargas, Rodrigo ; Vesala, Timo ; Windham-Myers, Lisamarie ; Zhang, Zhen ; Zona, Donatella
• NOAA Program & Office:
  CESSRST (Cooperative Science Center for Earth System Sciences and Remote Sensing Technologies)
• Description:
  Wetland methane (CH4) emissions (FCH4) are important in global carbon budgets and climate change assessments. Currently, FCH4 projections rely on prescribed static temperature sensitivity that varies among biogeochemical models. Meta-analyses have proposed a consistent FCH4 temperature dependence across spatial scales for use in models however, site-level studies demonstrate that FCH4 are often controlled by factors beyond temperature. Here, we evaluate the relationship between FCH4 and temperature using observations from the FLUXNET-CH4 database. Measurements collected across the globe show substantial seasonal hysteresis between FCH4 and temperature, suggesting larger FCH4 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.
• Keywords:
  Carbon Cycle (Biogeochemistry) Climatic Changes Carbon Cycle (Biogeochemistry) Climatic Changes NOAA Office of Education
• Source:
  Nat Commun 12, 2266
• DOI:
  https://doi.org/10.1038/s41467-021-22452-1
• Document Type:
  Journal Article
• Funding:
  Grant no. NA16SEC4810008
• Rights Information:
  CC BY
• Compliance:
  Submitted
• Main Document Checksum:
  urn:sha256:bb66949a7368a594a821b2ac7c1d19e50698c415e96a06cac598d909dcd1e5b0
• Download URL:
  https://repository.library.noaa.gov/view/noaa/43194/noaa_43194_DS1.pdf
• File Type:
  [PDF - 2.52 MB ]