High spatial variability in wetland methane fluxes is tied to vegetation patch types

IF 3.9 3区 环境科学与生态学 Q2 ENVIRONMENTAL SCIENCES Biogeochemistry Pub Date : 2024-10-26 DOI:10.1007/s10533-024-01188-2
Graham A. Stewart, Sean J. Sharp, Aileen K. Taylor, Michael R. Williams, Margaret A. Palmer
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Abstract

Wetlands are the largest natural source of methane (CH4), but spatial variability in fluxes complicates prediction, budgeting, and mitigation efforts. Despite the many environmental factors identified as CH4 drivers, the overall influence of wetland spatial heterogeneity on CH4 fluxes remains unclear. We identified five dominant patch types—submersed aquatic vegetation (SAV), emergent forbs, sedges/rushes, grasses, and open water—within a freshwater wetland in Maryland, USA, and measured CH4 fluxes using a combined chamber and eddy covariance approach from June to September 2021. Because patch types integrate co-occurring environmental factors, we hypothesized that CH4 flux is best characterized at the patch scale. Chamber measurements from representative patches showed distinct CH4 signals; fluxes from grasses and sedges/rushes were highest, while fluxes from SAV and forbs were lower but skewed, suggesting episodic emission pulses. Open water had the lowest fluxes. Differences between patches were consistent over time, and spatial variability was greater between patches than within them, highlighting patches as key drivers of flux variability. By combining chamber fluxes with eddy covariance data in a Bayesian framework, we provide evidence that patch-type fluxes scale over space and time. Understanding spatial heterogeneity is essential for quantifying wetland contributions to global biogeochemical cycles and predicting the impacts of environmental change on wetland ecosystem processes. Our study demonstrates the importance of vegetation patch types in structuring spatial variability and supports a patch-explicit representation to reduce uncertainty in wetland CH4 fluxes.

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湿地甲烷通量的高度空间变化与植被斑块类型有关
湿地是甲烷(CH4)的最大天然来源,但通量的空间变化使预测、预算和减排工作变得复杂。尽管有许多环境因素被认为是 CH4 的驱动因素,但湿地空间异质性对 CH4 通量的总体影响仍不清楚。我们在美国马里兰州的一片淡水湿地中确定了五种主要的斑块类型--沉水植被(SAV)、挺水草本植物、沉积物/灌木丛、草类和开阔水域,并在 2021 年 6 月至 9 月期间采用箱式和涡度协方差相结合的方法测量了 CH4 通量。由于斑块类型整合了共存的环境因素,我们假设甲烷通量在斑块尺度上具有最佳特征。来自代表性斑块的箱式测量结果显示了不同的甲烷信号;草类和沉积物/灌丛的甲烷通量最高,而SAV和草本植物的通量较低,但有偏差,这表明存在偶发性排放脉冲。开阔水域的通量最低。不同斑块之间的差异随着时间的推移是一致的,斑块之间的空间变异性大于斑块内部的空间变异性,这表明斑块是通量变异性的主要驱动因素。通过在贝叶斯框架中将室通量与涡度协方差数据相结合,我们提供了斑块型通量随时间和空间扩展的证据。了解空间异质性对于量化湿地对全球生物地球化学循环的贡献以及预测环境变化对湿地生态系统过程的影响至关重要。我们的研究证明了植被斑块类型在构建空间变异性方面的重要性,并支持采用斑块明确表示法来减少湿地甲烷通量的不确定性。
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来源期刊
Biogeochemistry
Biogeochemistry 环境科学-地球科学综合
CiteScore
7.10
自引率
5.00%
发文量
112
审稿时长
3.2 months
期刊介绍: Biogeochemistry publishes original and synthetic papers dealing with biotic controls on the chemistry of the environment, or with the geochemical control of the structure and function of ecosystems. Cycles are considered, either of individual elements or of specific classes of natural or anthropogenic compounds in ecosystems. Particular emphasis is given to coupled interactions of element cycles. The journal spans from the molecular to global scales to elucidate the mechanisms driving patterns in biogeochemical cycles through space and time. Studies on both natural and artificial ecosystems are published when they contribute to a general understanding of biogeochemistry.
期刊最新文献
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