期刊
NEW PHYTOLOGIST
卷 222, 期 1, 页码 18-28出版社
WILEY
DOI: 10.1111/nph.15582
关键词
CH4 transport; methane emissions; methanogenesis; spatial variability; temporal variability; tree stems; upland forests; wetland forests
资金
- Oak Spring Garden Foundation
- National Science Foundation [1652594, 1355066, 1442152]
- Gordon and Betty Moore Foundation [GBMF5439]
- US Department of Energy, Office of Science, Biological and Environmental Sciences Office
- Academy of Finland Research Fellow project [288494]
- European Research Council (ERC) under the European Union's Horizon 2020 research and innovation program [757695]
- DOE [DE-AC06-76RL0]
- Academy of Finland (AKA) [288494] Funding Source: Academy of Finland (AKA)
- Direct For Biological Sciences
- Division Of Environmental Biology [1442152] Funding Source: National Science Foundation
- Direct For Biological Sciences
- Division Of Environmental Biology [1355066] Funding Source: National Science Foundation
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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