Methane emissions from tree stems a new frontier in the global carbon cycle

Tree stems from wetland, floodplain and upland forests can produce and emit methane (CH₄). Tree CH₄ stem emissions have high spatial and temporal variability, but there is no consensus on the biophysical mechanisms that drive stem CH₄ production and emissions. Here, we summarize up to 30 opportuniti...

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Published in:The New phytologist Vol. 222; no. 1; pp. 18 - 28
Main Authors: Barba, Josep, Bradford, Mark A., Brewer, Paul E., Bruhn, Dan, Covey, Kristofer, van Haren, Joost, Megonigal, J. Patrick, Mikkelsen, Teis Nørgaard, Pangala, Sunitha R., Pihlatie, Mari, Poulter, Ben, Rivas-Ubach, Albert, Schadt, Christopher W., Terazawa, Kazuhiko, Warner, Daniel L., Zhang, Zhen, Vargas, Rodrigo
Format: Journal Article
Language:English
Published: England Wiley 01-04-2019
Wiley Subscription Services, Inc
Wiley-Blackwell
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Summary:Tree stems from wetland, floodplain and upland forests can produce and emit methane (CH₄). Tree CH₄ stem emissions have high spatial and temporal variability, but there is no consensus on the biophysical mechanisms that drive stem CH₄ production and emissions. Here, we summarize up to 30 opportunities and challenges for stem CH₄ emissions research, which, when addressed, will improve estimates of the magnitudes, patterns and drivers of CH₄ emissions and trace their potential origin.We identified the need: (1) for both long-term, high-frequency measurements of stem CH₄ emissions to understand the fine-scale processes, alongside rapid large-scale measurements designed to understand the variability across individuals, species and ecosystems; (2) to identify microorganisms and biogeochemical pathways associated with CH₄ production; and (3) to develop a mechanistic model including passive and active transport of CH₄ from the soil–tree–atmosphere continuum. Addressing these challenges will help to constrain the magnitudes and patterns of CH₄ emissions, and allow for the integration of pathways and mechanisms of CH₄ production and emissions into process-based models. These advances will facilitate the upscaling of stem CH₄ emissions to the ecosystem level and quantify the role of stem CH₄ emissions for the local to global CH₄ budget.
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USDOE
ISSN:0028-646X
1469-8137
DOI:10.1111/nph.15582