热带常绿森林源流DOM的季节和纵向动态

IF 11.4 1区 环境科学与生态学 Q1 ENGINEERING, ENVIRONMENTAL
Samantha N. Sullivan , Jennifer C. Bowen , Louis A. Kaplan , Rose M. Cory , Patrick G. Hatcher
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引用次数: 0

摘要

溶解有机物(DOM)对热带河流的能量流动起着重要作用,而热带河流的能量流动主导着流入海洋的河流径流的全球收支。然而,与高纬度地区相比,人们对控制热带地区下游DOM浓度和组成的过程知之甚少。在此,我们研究了哥斯达黎加Río Tempisquito流域季节性干燥常绿森林的源头溪流中DOM浓度和组成的季节性和下游变化。我们使用溶解有机碳(DOC)分析作为DOM浓度的测量,紫外可见光谱、荧光光谱和FT-ICR-MS测量DOM的组成。凋落物的季节差异和日降雨量的变化控制着DOC浓度。DOC浓度升高与陆源腐殖质样DOM输入河流有关,枯水季落在新鲜凋落叶上的小雨导致的DOC浓度与雨季落在退化凋落叶上的大雨几乎相等。DOM分子式中碳的平均标称氧化态(NOSC)在干湿季节(季节性)和下游距离(纵向)之间存在差异。枯水期河流DOM的NOSC高于雨季,可能是由于枯水期新鲜凋落物达到峰值,随后是雨季降水期间退化凋落物的淋滤。在这两个季节,DOM向下游更高的NOSC转移可能是由于下游运输过程中DOM中一个更少、更不稳定的池的选择性代谢。我们认为,在本研究的热带干源流中,DOM组成的下游变化是由微生物对不稳定的、还原的DOM化合物的优先代谢驱动的。这些发现扩展了河流连续体概念,表明在没有可测量的下游DOM浓度下降的情况下,DOM氧化状态可以作为微生物代谢的敏感指标。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Seasonal and longitudinal dynamics of DOM within headwater streams of a tropical evergreen forest
Dissolved organic matter (DOM) contributes to the energy flow in tropical rivers that dominate the global budget of riverine runoff to the ocean. Yet, the processes that control downstream DOM concentration and composition in the tropics are much less understood compared to higher latitudes. Here, we investigate seasonal and downstream changes in DOM concentration and composition in headwater streams draining the seasonally dry evergreen forest of the Río Tempisquito watershed in Costa Rica. We used dissolved organic carbon (DOC) analysis as a measure of DOM concentrations and UV–Vis, fluorescence spectroscopy and FT-ICR-MS to measure DOM composition. Seasonal differences in litterfall and day-to-day changes in rainfall controlled the DOC concentration. Elevated DOC concentrations were associated with inputs of terrestrial, humic-like DOM into the stream, and light rain falling on fresh leaf litter in the dry season led to nearly equivalent DOC concentrations as heavier rain falling on degraded litter in the wet season. The average nominal oxidation state of carbon (NOSC) in DOM molecular formulae differed between wet and dry seasons (seasonally) and with distance downstream (longitudinally). A higher NOSC of stream DOM in the dry versus wet season may be due to a peak in fresh litterfall in the dry season followed by the leaching of degraded litter during precipitation in the wet season. The shift in DOM toward a higher NOSC downstream in both seasons may be due to the selective metabolism of a more reduced, labile pool within DOM during downstream transport. We propose that the downstream changes in DOM composition in the dry tropical headwater streams of this study are driven by the preferential microbial metabolism of labile, reduced DOM compounds. These findings extend the River Continuum Concept by showing that DOM oxidation state can be a sensitive indicator of microbial metabolism in the absence of measurable decreases in downstream DOM concentrations.
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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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