Articles | Volume 19, issue 8
https://doi.org/10.5194/bg-19-2245-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/bg-19-2245-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Evaluating alternative ebullition models for predicting peatland methane emission and its pathways via data–model fusion
Shuang Ma
Center for Ecosystem Science and Society, Northern Arizona University, Flagstaff, Arizona, USA
Department of Biological Sciences, Northern Arizona University, Flagstaff, Arizona, USA
Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, USA
Lifen Jiang
Center for Ecosystem Science and Society, Northern Arizona University, Flagstaff, Arizona, USA
Rachel M. Wilson
Earth, Ocean and Atmospheric Sciences, Florida State University, Tallahassee, Florida, USA
Jeff P. Chanton
Earth, Ocean and Atmospheric Sciences, Florida State University, Tallahassee, Florida, USA
Scott Bridgham
Institute of Ecology & Evolution, University of Oregon, Eugene, Oregon, USA
Shuli Niu
Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, China
Colleen M. Iversen
Environmental Sciences Division and Climate Change Science Institute, Oak Ridge National Laboratory, Oak Ridge, Tennessee, USA
Avni Malhotra
Environmental Sciences Division and Climate Change Science Institute, Oak Ridge National Laboratory, Oak Ridge, Tennessee, USA
Department of Earth System Science, Stanford University, Stanford, California, USA
Jiang Jiang
Department of Soil and Water Conservation, Nanjing Forestry University, Nanjing, Jiangsu, China
Xingjie Lu
School of Atmospheric Sciences, Sun Yat-sen University, Guangzhou, Guangdong, China
Yuanyuan Huang
CSIRO Oceans and Atmosphere, Aspendale, Victoria, Australia
Jason Keller
Schmid College of Science and Technology, Chapman University, Orange, USA
Xiaofeng Xu
Department of Biology, San Diego State University, San Diego, California, USA
Daniel M. Ricciuto
Environmental Sciences Division and Climate Change Science Institute, Oak Ridge National Laboratory, Oak Ridge, Tennessee, USA
Paul J. Hanson
Environmental Sciences Division and Climate Change Science Institute, Oak Ridge National Laboratory, Oak Ridge, Tennessee, USA
Center for Ecosystem Science and Society, Northern Arizona University, Flagstaff, Arizona, USA
Department of Biological Sciences, Northern Arizona University, Flagstaff, Arizona, USA
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Short summary
The relative ratio of wetland methane (CH4) emission pathways determines how much CH4 is oxidized before leaving the soil. We found an ebullition modeling approach that has a better performance in deep layer pore water CH4 concentration. We suggest using this approach in land surface models to accurately represent CH4 emission dynamics and response to climate change. Our results also highlight that both CH4 flux and belowground concentration data are important to constrain model parameters.
The relative ratio of wetland methane (CH4) emission pathways determines how much CH4 is...
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