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Substantial hysteresis in emergent temperature sensitivity of global wetland CH4 emissions

Chang, Kuang Yu ; Riley, William J. ; Knox, Sara H. ; Jackson, Robert B. ; McNicol, Gavin ; Poulter, Benjamin ; Aurela, Mika ; Baldocchi, Dennis ; Bansal, Sheel and Bohrer, Gil , et al. (2021) In Nature Communications 12(1). p.2266-2266
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... (More)

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.

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organization
publishing date
type
Contribution to journal
publication status
published
subject
in
Nature Communications
volume
12
issue
1
pages
1 pages
publisher
Nature Publishing Group
external identifiers
  • pmid:33859182
  • scopus:85104390097
ISSN
2041-1723
DOI
10.1038/s41467-021-22452-1
language
English
LU publication?
yes
id
aed1a3bc-d0c4-494d-a9d4-f529ae350bb1
date added to LUP
2021-05-11 16:14:49
date last changed
2024-05-19 08:14:56
@article{aed1a3bc-d0c4-494d-a9d4-f529ae350bb1,
  abstract     = {{<p>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.</p>}},
  author       = {{Chang, Kuang Yu and Riley, William J. and Knox, Sara H. and Jackson, Robert B. and McNicol, Gavin and Poulter, Benjamin and Aurela, Mika and Baldocchi, Dennis and Bansal, Sheel and Bohrer, Gil and Campbell, David I. and Cescatti, Alessandro and Chu, Housen and Delwiche, Kyle B. and Desai, Ankur R. and Euskirchen, Eugenie and Friborg, Thomas and Goeckede, Mathias and Helbig, Manuel and Hemes, Kyle S. and Hirano, Takashi and Iwata, Hiroki and Kang, Minseok and Keenan, Trevor and Krauss, Ken W. and Lohila, Annalea and Mammarella, Ivan and Mitra, Bhaskar and Miyata, Akira and Nilsson, Mats B. and Noormets, Asko and Oechel, Walter C. and Papale, Dario and Peichl, Matthias and Reba, Michele L. and Rinne, Janne and Runkle, Benjamin R.K. and Ryu, Youngryel and Sachs, Torsten and Schäfer, Karina V.R. and Schmid, Hans Peter and Shurpali, Narasinha and Sonnentag, Oliver and Tang, Angela C.I. and Torn, Margaret S. and Trotta, Carlo and Tuittila, Eeva Stiina and Ueyama, Masahito and Vargas, Rodrigo and Vesala, Timo and Windham-Myers, Lisamarie and Zhang, Zhen and Zona, Donatella}},
  issn         = {{2041-1723}},
  language     = {{eng}},
  month        = {{04}},
  number       = {{1}},
  pages        = {{2266--2266}},
  publisher    = {{Nature Publishing Group}},
  series       = {{Nature Communications}},
  title        = {{Substantial hysteresis in emergent temperature sensitivity of global wetland CH<sub>4</sub> emissions}},
  url          = {{http://dx.doi.org/10.1038/s41467-021-22452-1}},
  doi          = {{10.1038/s41467-021-22452-1}},
  volume       = {{12}},
  year         = {{2021}},
}