Yueting Deng , Xianghui Guo , Xiaosong Zhao , Haitao Zhou , Lichun Li , Yougan Chen , Xudong Zhu
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The results showed (a) this ecosystem acted as a CO<sub>2</sub> source in most months with the strongest source and sink occurring at the beginning of autumn and winter, respectively; (b) annually this ecosystem emitted 58.9 g C m<sup>−2</sup> of CO<sub>2</sub> into the atmosphere with nighttime source contributing 84.7 %; (c) macroalgae aquaculture of <em>Saccharina japonica</em> and <em>Gracilariopsis Lemaneiformis</em> tended to reduce CO<sub>2</sub> emission from this ecosystem, while the extent of the reduction varied with aquaculture types and growth stages; (d) temporal variability of NEE was most correlated with air temperature, while faster tidal currents tended to stimulate CO<sub>2</sub> emission during both flood and ebb tides. The strong temporal variability of NEE highlights the importance of high-frequency EC measurements in improving the understanding of temporal patterns of air-sea CO<sub>2</sub> fluxes over the macroalgae aquaculture ecosystems. This study suggests that macroalgae aquaculture has the potential to mitigate CO<sub>2</sub> emission, although the ecosystem itself overall functions as a net CO<sub>2</sub> source on an annual time scale.</div></div>","PeriodicalId":7512,"journal":{"name":"Agriculture, Ecosystems & Environment","volume":"385 ","pages":"Article 109576"},"PeriodicalIF":6.4000,"publicationDate":"2025-02-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Coastal macroalgae aquaculture reduces carbon dioxide emission in a subtropical enclosed bay: Insights from eddy covariance measurements\",\"authors\":\"Yueting Deng , Xianghui Guo , Xiaosong Zhao , Haitao Zhou , Lichun Li , Yougan Chen , Xudong Zhu\",\"doi\":\"10.1016/j.agee.2025.109576\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>Macroalgae aquaculture has been increasingly recognized as a promising nature-based solution to enhance carbon sinks towards climate change mitigation. However, a limited understanding of the temporal patterns of air-sea carbon dioxide (CO<sub>2</sub>) fluxes and their environmental controls across time scales poses an enormous obstacle to the carbon sink potential assessment of macroalgae aquaculture. Here, we utilized the eddy covariance (EC) approach to acquire continuous and high-frequency measurements of net ecosystem exchange (NEE) of CO<sub>2</sub> over the macroalgae aquaculture in a subtropical enclosed bay in southeast China, throughout one full year from April 2023 to March 2024. The results showed (a) this ecosystem acted as a CO<sub>2</sub> source in most months with the strongest source and sink occurring at the beginning of autumn and winter, respectively; (b) annually this ecosystem emitted 58.9 g C m<sup>−2</sup> of CO<sub>2</sub> into the atmosphere with nighttime source contributing 84.7 %; (c) macroalgae aquaculture of <em>Saccharina japonica</em> and <em>Gracilariopsis Lemaneiformis</em> tended to reduce CO<sub>2</sub> emission from this ecosystem, while the extent of the reduction varied with aquaculture types and growth stages; (d) temporal variability of NEE was most correlated with air temperature, while faster tidal currents tended to stimulate CO<sub>2</sub> emission during both flood and ebb tides. The strong temporal variability of NEE highlights the importance of high-frequency EC measurements in improving the understanding of temporal patterns of air-sea CO<sub>2</sub> fluxes over the macroalgae aquaculture ecosystems. 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引用次数: 0
摘要
大型藻类水产养殖日益被认为是一种有希望的基于自然的解决方案,可以增强碳汇,减缓气候变化。然而,由于对大气-海洋二氧化碳通量的时间格局及其环境控制的认识有限,对大型藻类养殖的碳汇潜力评估造成了巨大的障碍。本文利用涡动相关(EC)方法,对2023年4月至2024年3月一整年的中国东南部亚热带封闭海湾大型藻类养殖过程中CO2净生态系统交换(NEE)进行了连续高频测量。结果表明:(a)该生态系统在大部分月份都是CO2源,源最强、汇最强分别出现在秋初和冬初;(b)该生态系统每年向大气排放58.9 g C m−2 CO2,夜间源贡献84.7 %;(c)大藻养殖对该生态系统CO2排放有减少的趋势,但减少程度随养殖类型和生长阶段的不同而不同;(d)东北东电的时间变率与气温的相关性最大,而在涨潮和退潮期间,更快的潮流倾向于刺激CO2的排放。NEE的强时间变异性突出了高频EC测量在提高对大型藻类水产养殖生态系统的海气CO2通量时间格局的理解方面的重要性。这项研究表明,尽管生态系统本身在年时间尺度上总体上是一个净二氧化碳源,但大型藻类养殖具有减轻二氧化碳排放的潜力。
Coastal macroalgae aquaculture reduces carbon dioxide emission in a subtropical enclosed bay: Insights from eddy covariance measurements
Macroalgae aquaculture has been increasingly recognized as a promising nature-based solution to enhance carbon sinks towards climate change mitigation. However, a limited understanding of the temporal patterns of air-sea carbon dioxide (CO2) fluxes and their environmental controls across time scales poses an enormous obstacle to the carbon sink potential assessment of macroalgae aquaculture. Here, we utilized the eddy covariance (EC) approach to acquire continuous and high-frequency measurements of net ecosystem exchange (NEE) of CO2 over the macroalgae aquaculture in a subtropical enclosed bay in southeast China, throughout one full year from April 2023 to March 2024. The results showed (a) this ecosystem acted as a CO2 source in most months with the strongest source and sink occurring at the beginning of autumn and winter, respectively; (b) annually this ecosystem emitted 58.9 g C m−2 of CO2 into the atmosphere with nighttime source contributing 84.7 %; (c) macroalgae aquaculture of Saccharina japonica and Gracilariopsis Lemaneiformis tended to reduce CO2 emission from this ecosystem, while the extent of the reduction varied with aquaculture types and growth stages; (d) temporal variability of NEE was most correlated with air temperature, while faster tidal currents tended to stimulate CO2 emission during both flood and ebb tides. The strong temporal variability of NEE highlights the importance of high-frequency EC measurements in improving the understanding of temporal patterns of air-sea CO2 fluxes over the macroalgae aquaculture ecosystems. This study suggests that macroalgae aquaculture has the potential to mitigate CO2 emission, although the ecosystem itself overall functions as a net CO2 source on an annual time scale.
期刊介绍:
Agriculture, Ecosystems and Environment publishes scientific articles dealing with the interface between agroecosystems and the natural environment, specifically how agriculture influences the environment and how changes in that environment impact agroecosystems. Preference is given to papers from experimental and observational research at the field, system or landscape level, from studies that enhance our understanding of processes using data-based biophysical modelling, and papers that bridge scientific disciplines and integrate knowledge. All papers should be placed in an international or wide comparative context.