Variations and driving factors for concentrations and carbon isotopes of dissolved CO2 in lake water across different Chinese lakes

IF 7.7 2区 环境科学与生态学 Q1 ENVIRONMENTAL SCIENCES
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Abstract

Carbon dioxide (CO2) stands as the primary driver of Earth's greenhouse effect, and it's suggested that the global contribution of CO2 emissions from lakes cannot be ignored. Despite the numerous estimations of CO2 fluxes from lakes, limited focus has been directed towards the carbon isotopes (δ13C) of dissolved CO2 in lake water. Particularly, the potential use of δ13C values in tracing the CO2 concentrations in lake water remains as an understudied area, warranting further exploration and investigation. In this study, we conducted an analysis of the concentrations and δ13C values of dissolved CO2 in 33 lakes located at the Tibetan Plateau, Chinese Loess Plateau, and Yangtze Plain (among which high-resolution spatial investigations were performed in 6 lakes through in-situ continuous monitoring). Our findings revealed spatial variations in both the CO2 concentrations and δ13C values in lakes. Additionally, notable differences are observed among lakes in different regions of China, with lakes in the Yangtze Plain exhibiting considerably higher CO2 concentrations, and the overall CO2 δ13C values in lakes on the Tibetan Plateau tend to be more positive, while those in lakes on the Chinese Loess Plateau tend to be more negative. The pH values, dissolved oxygen, and dissolved organic carbon are likely crucial factors influencing the CO2 concentrations and δ13C values in the lakes. Furthermore, lake water CO2 concentrations are negatively correlated with δ13C values of CO2 and dissolved inorganic carbon (DIC) both within a single lake with high spatial resolutions or in lake groups across different regions. These results highlight that the CO2/DIC δ13C values can be applied to trace the concentration variations of dissolved CO2 in lakes.

中国不同湖泊湖水中溶解二氧化碳浓度和碳同位素的变化及驱动因素。
二氧化碳(CO2)是地球温室效应的主要驱动力,湖泊排放的二氧化碳对全球的贡献不容忽视。尽管对来自湖泊的二氧化碳通量进行了大量估算,但对湖水中溶解二氧化碳的碳同位素(δ13C)的关注却很有限。特别是,δ13C 值在追踪湖水中二氧化碳浓度方面的潜在用途仍是一个研究不足的领域,值得进一步探索和研究。本研究分析了青藏高原、黄土高原和长江平原 33 个湖泊中溶解二氧化碳的浓度和δ13C 值(其中 6 个湖泊通过原位连续监测进行了高分辨率空间调查)。我们的研究结果表明,湖泊中的二氧化碳浓度和 δ13C 值均存在空间差异。此外,中国不同地区的湖泊之间也存在明显差异,长江平原湖泊的二氧化碳浓度要高得多,青藏高原湖泊的二氧化碳δ13C值总体上趋于正值,而中国黄土高原湖泊的二氧化碳δ13C值则趋于负值。pH 值、溶解氧和溶解有机碳可能是影响湖泊中二氧化碳浓度和 δ13C 值的关键因素。此外,无论是在高空间分辨率的单个湖泊中,还是在不同区域的湖泊群中,湖水的二氧化碳浓度与二氧化碳和溶解无机碳(DIC)的δ13C 值均呈负相关。这些结果表明,CO2/DIC δ13C值可用于追踪湖泊中溶解二氧化碳的浓度变化。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Environmental Research
Environmental Research 环境科学-公共卫生、环境卫生与职业卫生
CiteScore
12.60
自引率
8.40%
发文量
2480
审稿时长
4.7 months
期刊介绍: The Environmental Research journal presents a broad range of interdisciplinary research, focused on addressing worldwide environmental concerns and featuring innovative findings. Our publication strives to explore relevant anthropogenic issues across various environmental sectors, showcasing practical applications in real-life settings.
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