2018
DOI: 10.1111/nph.15582
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Methane emissions from tree stems: a new frontier in the global carbon cycle

Abstract: 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 n… Show more

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Cited by 131 publications
(157 citation statements)
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References 76 publications
(150 reference statements)
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“…CH 4 fluxes exhibit finescale spatial variability that can span orders of magnitude within a landscape (Peltola et al 2015;Marushchak et al 2016;Desai et al 2015;Treat et al 2018a;Iwata et al 2018), attributable to heterogeneous soil properties and moisture conditions, vegetation composition, and land use (Davidson et al 2016;Parmentier et al 2011;Chamberlain et al 2018). Furthermore, there is evidence that traditionally unmeasured surfaces (i.e., tree stems) are important sources of CH 4 to the atmosphere and could explain spatial heterogeneity within ecosystems (Barba et al 2019). Accurately representing spatial heterogeneity and the relative fraction of uplands and wetlands is imperative for interpreting and predicting CH 4 emissions within many ecosystems, and for upscaling flux measurements regionally and globally as wetlands are hot spots for carbon cycling (Treat et al 2018a;Tuovinen et al 2019;Rößger et al 2019).…”
Section: Ec Flux Data Quality Assessmentmentioning
confidence: 99%
“…CH 4 fluxes exhibit finescale spatial variability that can span orders of magnitude within a landscape (Peltola et al 2015;Marushchak et al 2016;Desai et al 2015;Treat et al 2018a;Iwata et al 2018), attributable to heterogeneous soil properties and moisture conditions, vegetation composition, and land use (Davidson et al 2016;Parmentier et al 2011;Chamberlain et al 2018). Furthermore, there is evidence that traditionally unmeasured surfaces (i.e., tree stems) are important sources of CH 4 to the atmosphere and could explain spatial heterogeneity within ecosystems (Barba et al 2019). Accurately representing spatial heterogeneity and the relative fraction of uplands and wetlands is imperative for interpreting and predicting CH 4 emissions within many ecosystems, and for upscaling flux measurements regionally and globally as wetlands are hot spots for carbon cycling (Treat et al 2018a;Tuovinen et al 2019;Rößger et al 2019).…”
Section: Ec Flux Data Quality Assessmentmentioning
confidence: 99%
“…Only recently have tree stem CH 4 emissions been investigated as an important source of CH 4 to the atmosphere (Terazawa et al, 2007;Covey et al, 2012;Pangala et al, 2015). Tree stem CH 4 emissions have been found to account for up to 50% of the Amazon basin CH 4 budget (Pangala et al, 2017), and characterizing and quantifying tree stem CH 4 fluxes is now recognized as 'a new frontier in the global carbon cycle' (Barba et al, 2019a).…”
Section: Introductionmentioning
confidence: 99%
“…Recent reviews of tree-mediated CH 4 emissions rely upon data synthesized from mostly living trees of freshwater wetlands, floodplains and upland forested origins (Barba et al, 2019a;Covey & Megonigal, 2019). To date, very few studies have assessed CH 4 fluxes from standing dead tree stems (Carmichael et al, 2014;Warner et al, 2017) and/or saline wetlands.…”
Section: Introductionmentioning
confidence: 99%
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“…Several important processes may be missing from wetland models: (i) The production and transport of CH 4 by trees has recently been observed in forested systems in temperate and tropical biomes (Barba et al, 2019;Covey & Megonigal, 2019;Welch et al, 2019). In the tropics, for example, transport of CH 4 via tree stems accounts for a large part of the overall CH 4 budget (Pangala et al, 2017).…”
Section: Wetlands and Other Natural Water Bodiesmentioning
confidence: 99%