气候变化领域集成服务门户(CCPortal): Net Methane Production Predicted by Patch Characteristics in a Freshwater Wetland

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DOI	10.1029/2023JG007814
	Net Methane Production Predicted by Patch Characteristics in a Freshwater Wetland
	Sharp, Sean J.; Maietta, Christine E.; Stewart, Graham A.; Taylor, Aileen K.; Williams, Michael R.; Palmer, Margaret A.
发表日期	2024
ISSN	2169-8953
EISSN	2169-8961
起始页码	129
结束页码	1
卷号	129 期号:1
英文摘要	Methane (CH4) dynamics in wetlands are spatially variable and difficult to estimate at ecosystem scales. Patches with different plant functional types (PFT) represent discrete units within wetlands that may help characterize patterns in CH4 variability. We investigate dissolved porewater CH4 concentrations, a representation of net CH4 production and potential source of atmospheric flux, in five wetland patches characterized by a dominant PFT or lack of plants. Using soil, porewater, and plant variables we hypothesized to influence CH4, we used three modeling approaches-Classification and regression tree, AIC model selection, and Structural Equation Modeling-to identify direct and indirect influences on porewater CH4 dynamics. Across all three models, dissolved porewater CO2 concentration was the dominant driver of CH4 concentrations, partly through the influence of PFT patches. Plants in each patch type likely had variable influence on CH4 via root exudates (a substrate for methanogens), capacity to transport gas (both O2 from and CH4 to the atmosphere), and plant litter quality which impacted soil respiration and production of CO2 in the porewater. We attribute the importance of CO2 to the dominant methanogenic pathway we identified, which uses CO2 as a terminal electron acceptor. We propose a mechanistic relationship between PFT patches and porewater CH4 dynamics which, when combined with sources of CH4 loss including methanotrophy, oxidation, or plant-mediated transport, can provide patch-scale estimates of CH4 flux. Combining these estimates with the distribution of PFTs can improve ecosystem CH4 flux estimates in heterogenous wetlands and improve global CH4 budgets. Methane is a potent greenhouse gas and understanding what controls methane production from microbes to plant communities can improve our estimates of wetland fluxes and global methane budgets. We propose characterizing methane dynamics in herbaceous wetlands at the scale of plant patches as patches integrate multiple local properties, are generally discrete, and relatively easy to map and measure. To characterize common wetland patch types, we investigate patterns of dissolved methane, soil biogeochemistry, and plant properties in 4 vegetated (submerged vegetation, forb, grass, and sedge) and 1 unvegetated wetland patch types in a temperate, freshwater, herbaceous wetland. We found that methane production differs significantly across patches and is largely correlated with each plant's capacity to transport gas to and from the soil, the quality of plant litter, and the properties of dissolved organic carbon in each patch. This work improves our understanding of how patches uniquely influence methane and by mapping the distribution of these patches we can improve our estimates of wetland methane fluxes. Herbaceous plant patches present a unit of measure that can integrate multiples scales controlling wetland methane dynamicsMethane dynamics in the soil are linked to plant-mediated rhizosphere oxygenation, litter quality, and DOC compositionGrass and sedge functional types seem to modulate methane via different mechanisms, highlighting the importance of using functional type
英文关键词	climate change; ecosystem function; patch dynamics; greenhouse gases; soil ecology; microbial ecology
语种	英语
WOS研究方向	Environmental Sciences & Ecology ; Geology
WOS类目	Environmental Sciences ; Geosciences, Multidisciplinary
WOS记录号	WOS:001131510700001
来源期刊	JOURNAL OF GEOPHYSICAL RESEARCH-BIOGEOSCIENCES
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/306522
作者单位	University System of Maryland; University of Maryland College Park
推荐引用方式 GB/T 7714	Sharp, Sean J.,Maietta, Christine E.,Stewart, Graham A.,et al. Net Methane Production Predicted by Patch Characteristics in a Freshwater Wetland[J],2024,129(1).
APA	Sharp, Sean J.,Maietta, Christine E.,Stewart, Graham A.,Taylor, Aileen K.,Williams, Michael R.,&Palmer, Margaret A..(2024).Net Methane Production Predicted by Patch Characteristics in a Freshwater Wetland.JOURNAL OF GEOPHYSICAL RESEARCH-BIOGEOSCIENCES,129(1).
MLA	Sharp, Sean J.,et al."Net Methane Production Predicted by Patch Characteristics in a Freshwater Wetland".JOURNAL OF GEOPHYSICAL RESEARCH-BIOGEOSCIENCES 129.1(2024).