Journal of Ecology and Rural Environment ›› 2021, Vol. 37 ›› Issue (7): 909-916.doi: 10.19741/j.issn.1673-4831.2020.0779

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Characteristics of Net Ecosystem Carbon Exchange and Its Influence Factors over the Mangrove in Guangxi

SUN Ming1,2, MO Wei-hua2, XIE Min3, CHEN Yan-li2, PAN Liang-hao1   

  1. 1. Guangxi Mangrove Research Center, Guangxi Academy of Sciences/Guangxi Key Laboratory of Mangrove Conservation and Utilization, Beihai 536000, China;
    2. Guangxi Zhuang Autonomous Region Meteorological Sciences Institute, Nanning 530022, China;
    3. Climate Center of Guangxi Zhuang Autonomous Region, Nanning 530022, China
  • Received:2020-09-16 Online:2021-07-25 Published:2021-07-23

Abstract: In order to explore the dynamics of CO2 flux exchange and its regulating mechanism of mangrove in Guangxi, the CO2 flux data and the meteorological data of sandy mangrove recorded by the eddy covariance system at the mangrove ecological observation and experiment station in Beihai in 2019 were utilized to analyze the dynamics of net ecosystem carbon exchange (NEE) and its response to meteorological factors. The results suggest that the diurnal variation of NEE on average followed a U-shape pattern in Guangxi. The carbon sink reached the maximum in February and the minimum in June on the monthly scale. On the seasonal scale, the maximum NEE occurred in autumn, followed by spring, winter, and summer. The cumulative monthly NEE reached the maximum of -45.23 g·m-2·mon-1 in November and the minimum of -16.95 g·m-2·mon-1 in July. The total amount of NEE, ecosystem respiration, and gross primary productivity (GPP) were -386.68, 862.49, and -1 249.18 g·m-2·a-1, respectively, which were lower than that in the mixed mangrove in Fujian and Guangdong. The dominant factor of direct influence on the net ecosystem exchange was the photosynthetically active radiation, and that of indirect influence was vapor pressure deficit. Precipitation was the limiting factor of net ecosystem exchange.

Key words: Guangxi, mangrove, eddy covariance system, net ecosystem exchange, influencing factor

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