马达加斯加热带源流中CO2和CH4排放与微生物群落和土地覆盖的关系

IF 11.4 1区 环境科学与生态学 Q1 ENGINEERING, ENVIRONMENTAL
Vonihanitrinaina D.Z. Andriamanantena R , Yerang Yang , Yves Mong , Hojeong Kang
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引用次数: 0

摘要

源流作为温室气体的重要贡献者发挥着至关重要的作用,但来自热带非洲河流的CO2(二氧化碳)和CH4(甲烷)通量代表性不足,导致全球估算存在不确定性。我们在马达加斯加伊科帕河的25个地点进行了为期三个月的采样,在那里我们量化了通量并评估了它们的调节物理、化学和生物驱动因素。Ikopa的源头溪流是温室气体的净来源,可溶性CO2为2,483µatm,可溶性CH4浓度为1.44µmol L-1。低阶蒸汽共释放2.58 Gg CO2年-1和0.19 Gg CH4年-1。值得注意的是,CH4平均冒泡为55.66 mmol m−2 d−1,约为全球平均水平的30倍,流经草原地区的河流CH4排放量较高。溶解氧和沉积物结构是CH4沸腾速率的主要预测因子,而CO2分压(pCO2)和溶解CH4直接影响CO2和CH4通量。水温、pH值和mcrA基因丰度直接影响溶解CH4浓度,土壤有机碳(SOC)含量、水温和mcrA基因丰度间接影响CH4通量。这些结果强调了草原在影响非洲热带河流CH4排放方面被忽视的作用。该研究证实了热带水源流在CH4排放中的主要作用,并为土地覆盖与温室气体排放之间的联系提供了新的见解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Linking CO2 and CH4 emissions to the microbial community and land cover in tropical headwater streams of Madagascar

Linking CO2 and CH4 emissions to the microbial community and land cover in tropical headwater streams of Madagascar

Linking CO2 and CH4 emissions to the microbial community and land cover in tropical headwater streams of Madagascar
Headwater streams play a crucial role as significant contributors of greenhouse gases, yet CO2 (carbon dioxide) and CH4 (methane) fluxes from tropical African streams are under-represented, resulting in uncertainties in global estimations. We conducted a three-month sampling of 25 sites in the Ikopa River, Madagascar, where we quantified fluxes and assessed their regulating physicochemical, and biological drivers. Ikopa’s headwater streams were a net source of greenhouse gas, with soluble CO2 at 2483 µatm and dissolved CH4 concentration at 1.44 µmol L-1. Low-order steams released a total of 2.58 Gg CO2 yr-1 and 0.19 Gg CH4 yr-1. Notably, the average CH4 ebullition was 55.66 mmol m−2 d−1, approximately 30 times higher than the global average, and streams draining through grassland areas exhibited higher CH4 emissions. Dissolved oxygen and sediment texture emerged as the primary predictors for CH4 ebullition rates, while partial pressure of CO2 (pCO2) and dissolved CH4 directly impact CO2 and CH4 fluxes. Water temperature, pH level, and mcrA gene abundance directly influenced dissolved CH4 concentration, while soil organic carbon (SOC) content, water temperature, and mcrA gene abundance indirectly impacted CH4 fluxes. The results highlight the overlooked role of grasslands in influencing CH4 emissions in the African tropical river. This study confirms the major role of tropical headwater streams in CH4 emissions and provides new insight into The link between land cover and greenhouse gas emissions.
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来源期刊
Water Research
Water Research 环境科学-工程:环境
CiteScore
20.80
自引率
9.40%
发文量
1307
审稿时长
38 days
期刊介绍: Water Research, along with its open access companion journal Water Research X, serves as a platform for publishing original research papers covering various aspects of the science and technology related to the anthropogenic water cycle, water quality, and its management worldwide. The audience targeted by the journal comprises biologists, chemical engineers, chemists, civil engineers, environmental engineers, limnologists, and microbiologists. The scope of the journal include: •Treatment processes for water and wastewaters (municipal, agricultural, industrial, and on-site treatment), including resource recovery and residuals management; •Urban hydrology including sewer systems, stormwater management, and green infrastructure; •Drinking water treatment and distribution; •Potable and non-potable water reuse; •Sanitation, public health, and risk assessment; •Anaerobic digestion, solid and hazardous waste management, including source characterization and the effects and control of leachates and gaseous emissions; •Contaminants (chemical, microbial, anthropogenic particles such as nanoparticles or microplastics) and related water quality sensing, monitoring, fate, and assessment; •Anthropogenic impacts on inland, tidal, coastal and urban waters, focusing on surface and ground waters, and point and non-point sources of pollution; •Environmental restoration, linked to surface water, groundwater and groundwater remediation; •Analysis of the interfaces between sediments and water, and between water and atmosphere, focusing specifically on anthropogenic impacts; •Mathematical modelling, systems analysis, machine learning, and beneficial use of big data related to the anthropogenic water cycle; •Socio-economic, policy, and regulations studies.
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