Yike Wang1,2, Xia Liu3, Weijia Lan4, Shuxian Yin5, Liya Fan This email address is being protected from spambots. You need JavaScript enabled to view it.1,6,7,8, Boru Mai This email address is being protected from spambots. You need JavaScript enabled to view it.2, Xuejiao Deng2 

1 School of Environment and Energy, South China University of Technology, SCUT, Guangzhou 510006, China
2 Institute of Tropical and Marine Meteorology, China Meteorological Administration (CMA), Guangzhou 510640, China
3 Guangzhou Meteorological Observatory, Guangzhou 511430, China
4 Zhuhai Meteorology Bureau, Zhuhai 519000, China
5 Dongguan Meteorology Bureau, Dongguan 523086, China
6 National Engineering Laboratory for Volatile Organic Compounds Pollution Control Technology and Equipment, Guangzhou 510006, China
7 Guangdong Provincial Key Laboratory of Atmospheric Environment and Pollution Control, Guangzhou 510006, China
8 Guangdong Provincial Engineering and Technology Research Centre for Environmental Risk Prevention and Emergency Disposal, Guangzhou 510006, China

Received: January 5, 2024
Revised: April 29, 2024
Accepted: May 13, 2024

 Copyright The Author(s). This is an open access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are cited.

Download Citation: ||https://doi.org/10.4209/aaqr.230320  

Cite this article:

Wang, Y., Liu, X., Lan, W., Yin, S., Fan, L., Mai, B., Deng, X. (2024). Distribution and Main Influencing Factors of Net Ecosystem Carbon Exchange in Typical Vegetation Ecosystems of Southern China. Aerosol Air Qual. Res. https://doi.org/10.4209/aaqr.230320


  • The CO2 uptake by forested and cultivated vegetations is considerable.
  • The evergreen coniferous forest ecosystems are the largest CO2 sequestration.
  • The water vapor pressure deficit is not the main factor restricting photosynthesis.
  • The evergreen coniferous forest displays enhanced radiation absorption.


Changes in the net ecosystem carbon exchange (NEE) significantly influence the atmospheric CO2 concentration. However, our understanding of carbon cycling in various vegetation types still needs further expansion. This study investigated the NEE characteristics of typical evergreen coniferous forest ecosystems (ECFEs), tree-and-crop mixed ecosystems (TCMEs), and coastal crop ecosystems (CCEs) in southern China. The prevailing factors that influence CO2 fluxes, including the planetary boundary layer (PBL), vapor pressure deficit (VPD), and photosynthetically active radiation (PAR), were also examined. The results showed that (1) the NEE of ECFEs was highest in winter and lowest in summer, with an annual average of –4.21 ± 0.44 µmol m–2 s–1. The NEE values of TCMEs and CCEs were comparable and significantly lower than that in ECFEs, with annual average NEE values of –1.96 ± 0.09 µmol m–2 s–1 and –1.98 ± 0.04 µmol m–2 s–1, respectively. ECFEs exhibited an average annual carbon capture rate of 15.93 tons C (10,000 square meters)-1 (year)-1, while TCMEs and CCEs recorded lower rates of 7.42 and 7.49 tons C (10,000 square meters)-1 (year)-1, respectively. (2) The NEE remained relatively stable during the night across all types of ecosystems. However, a noticeable minimum value occurred around noon, mainly due to a combination of heightened photosynthesis, an elevated VPD, and an increased PBL height. (3) Near the light saturation point, decreased VPD improved light utilization, shifting the minimum light use efficiency (LUE) toward lower radiation levels. However, after exceeding the light saturation point, changes in VPD had no significant effect on the LUE. (4) Compared with the vegetation in the TCME, that in the ECFE exhibited a 120.00% increase in annual ecosystem apparent quantum yield (λ) and a 24.23% increase in maximum gross ecosystem exchange at light saturation (GEEmax), while the half-saturated light intensity (PAR0) decreased by 43.53%.

Keywords: Vegetation ecosystem, Net ecosystem carbon exchange, Photosynthetically active radiation, Vapor pressure deficit, Planetary boundary layer height

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