超富营养化鱼塘甲烷排放时空变异性与环境条件

IF 3.9 2区 地球科学 Q1 ECOLOGY
Petr Znachor, Jiří Nedoma, Vojtech Kolar, Anna Matoušů
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引用次数: 0

摘要

摘要对甲烷(CH4)排放的估计通常基于使用通量室或传递系数法的点测量,这可能导致对CH4总通量的严重低估。为了更精确地测量水产养殖池塘的CH4通量,我们采用更高分辨率的采样方法,研究了一个超富营养化鱼塘三个昼夜活动期间水中CH4浓度、相关通量(扩散和沸腾)和相关环境条件(温度、氧气、叶绿素a)的时空变异性。我们的数据显示了几个数量级的显著差异,而扩散通量仅占总CH4通量的一小部分(4.1% - 18.5%)。线性混合效应模型确定水深是CH4通量的唯一显著预测因子。我们的研究结果需要复杂的采样策略,包括时间和空间变化,以可靠地估计鱼塘在全球甲烷收支中的作用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Spatial and temporal variability of methane emissions and environmental conditions in a hyper-eutrophic fishpond
Abstract. Estimations of methane (CH4) emissions are often based on point measurements using either flux chambers or a transfer coefficient method, which may lead to strong underestimation of the total CH4 fluxes. In order to demonstrate more precise measurements of the CH4 fluxes from an aquaculture pond, using a higher resolution sampling approach we examined the spatiotemporal variability of CH4 concentrations in the water, related fluxes (diffusive and ebullitive) and relevant environmental conditions (temperature, oxygen, chlorophyll a) during three diurnal campaigns in a hyper-eutrophic fishpond. Our data show remarkable variance spanning several orders of magnitude while diffusive fluxes accounted for only a minor fraction of total CH4 fluxes (4.1 %–18.5 %). Linear mixed-effects models identified water depth as the only significant predictor of CH4 fluxes. Our findings necessitate complex sampling strategies involving temporal and spatial variability for reliable estimates of the role of fishponds in a global methane budget.
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来源期刊
Biogeosciences
Biogeosciences 环境科学-地球科学综合
CiteScore
8.60
自引率
8.20%
发文量
258
审稿时长
4.2 months
期刊介绍: Biogeosciences (BG) is an international scientific journal dedicated to the publication and discussion of research articles, short communications and review papers on all aspects of the interactions between the biological, chemical and physical processes in terrestrial or extraterrestrial life with the geosphere, hydrosphere and atmosphere. The objective of the journal is to cut across the boundaries of established sciences and achieve an interdisciplinary view of these interactions. Experimental, conceptual and modelling approaches are welcome.
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