Temporal Dynamic of the Net Ecosystem Exchange of Carbon Dioxide and Responses to Meteorological Drivers in Mountain Forest Ecosystem of Southeastern China

IF 2.3 4区 环境科学与生态学 Q4 ENVIRONMENTAL SCIENCES
Zhang Yan, Ye Jing, Pan Xiaole, Liu Lanzhong, Wang Zifa, Cheng Xueling
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Abstract

This study reports the temporal dynamics of the net ecosystem exchange of carbon dioxide (NEE), the importance of various meteorological factors influencing NEE, and the response characteristics of NEE to meteorological changes at different temporal scales (half-hourly, daily and monthly) on the basis of eddy covariance and meteorological data collected from forest ecosystems in southeastern China between June 2022 and May 2024, thereby employing the random forest regression algorithm. The results show that the forest ecosystem in the study area provides a clear carbon sink function, with an estimated daily NEE period of approximately 11–12 h. Notably, this ecosystem functions as a carbon sink almost year-round, with the lowest NEE in summer, followed by spring and autumn, whereas winter shows minimal NEE, resulting in an annual total NEE of −2983.34 g CO2·m−2·a−1. Furthermore, the NEE varies temporally and is influenced by several meteorological factors with varying degrees of impact. Specifically, sub-daily fluctuations are driven primarily by the light intensity, whereas the effect of light decreases at longer time scales, allowing other meteorological factors to exert increased influence. The complex and nonlinear responses of NEE to these meteorological factors often feature thresholds and optimal values. This study contributes to our comprehensive understanding of NEE behavior and provides reference data for improving forest carbon cycle models and developing regional forest management measures.

Abstract Image

中国东南部山地森林生态系统二氧化碳净交换的时间动态及其对气象驱动力的响应
基于涡旋相关方差和2022年6月至2024年5月中国东南部森林生态系统的气象资料,采用随机森林回归算法,研究了中国东南部森林生态系统二氧化碳净交换(NEE)的时间动态、影响NEE的各气象因子的重要性以及不同时间尺度(半小时、日、月)下NEE对气象变化的响应特征。结果表明:研究区森林生态系统具有明显的碳汇功能,其日NEE周期约为11 ~ 12 h,且几乎全年都具有碳汇功能,夏季NEE最小,其次为春季和秋季,冬季NEE最小,年NEE总量为- 2983.34 g CO2·m−2·a−1。此外,东北东电有时间上的变化,受多种气象因子的影响程度不同。具体而言,次日波动主要由光强度驱动,而光的影响在较长的时间尺度上减弱,从而使其他气象因素发挥更大的影响。新能源经济对这些气象因子的复杂非线性响应往往具有阈值和最优值。该研究有助于全面认识新能源经济行为,为完善森林碳循环模型和制定区域森林管理措施提供参考数据。
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来源期刊
Aerosol Science and Engineering
Aerosol Science and Engineering Environmental Science-Pollution
CiteScore
3.00
自引率
7.10%
发文量
42
期刊介绍: ASE is an international journal that publishes high-quality papers, communications, and discussion that advance aerosol science and engineering. Acceptable article forms include original research papers, review articles, letters, commentaries, news and views, research highlights, editorials, correspondence, and new-direction columns. ASE emphasizes the application of aerosol technology to both environmental and technical issues, and it provides a platform not only for basic research but also for industrial interests. We encourage scientists and researchers to submit papers that will advance our knowledge of aerosols and highlight new approaches for aerosol studies and new technologies for pollution control. ASE promotes cutting-edge studies of aerosol science and state-of-art instrumentation, but it is not limited to academic topics and instead aims to bridge the gap between basic science and industrial applications.  ASE accepts papers covering a broad range of aerosol-related topics, including aerosol physical and chemical properties, composition, formation, transport and deposition, numerical simulation of air pollution incidents, chemical processes in the atmosphere, aerosol control technologies and industrial applications. In addition, ASE welcomes papers involving new and advanced methods and technologies that focus on aerosol pollution, sampling and analysis, including the invention and development of instrumentation, nanoparticle formation, nano technology, indoor and outdoor air quality monitoring, air pollution control, and air pollution remediation and feasibility assessments.
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