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January 16, 2026Remote Sensing0 citationsOpen Access

Hydrological Changes Drive the Seasonal Vegetation Carbon Storage of the Poyang Lake Floodplain Wetland

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ZYZili YangSXShaoxia XiaHDHoulang Duan

Key Points

  • The aim is to assess seasonal vegetation carbon storage in Poyang Lake wetlands and how it relates to hydrological changes.
  • Field surveys of six plant communities from 2019 to 2024
  • Analysis of 16 meteorological and hydrological variables
  • Utilization of correlation and regression methods including Pearson and partial correlation
  • Application of ridge and elastic net regression techniques
  • C. cinerascens was identified as the main contributor to vegetation carbon storage, covering 12.68% to 44.22% of the wetland area.
  • Vegetation carbon storage was significantly higher in spring (87.75 × 104 t to 239.10 × 104 t) compared to autumn (77.32 × 104 t to 154.78 × 104 t).
  • Water body area was a key factor influencing vegetation growth and carbon storage due to its alternating inundation and exposure effects.
  • Preseason temperature and precipitation showed complex effects on carbon storage, negatively impacting spring storage while having positive effects in autumn.

Abstract

Wetlands are a critical component of the global biogeochemical cycle and have great potential for carbon sequestration under the changing climate. However, previous studies have mainly focused on the dynamics of soil organic carbon while paying little attention to the vegetation carbon storage in wetlands. Poyang Lake is the largest freshwater lake in China, where intra-annual and inter-annual variations in water levels significantly affect the vegetation carbon storage in the floodplain wetland. Therefore, we assessed the seasonal distribution and carbon storage of six typical plant communities (Arundinella hirta, Carex cinerascens, Miscanthus lutarioriparius, Persicaria hydropiper, Phalaris arundinacea, and Phragmites australis) in Poyang Lake wetlands from 2019 to 2024 based on field surveys, the literature, and remote sensing data. Then, we used 16 preseason meteorological and hydrological variables for two growing seasons to investigate the impacts of environmental factors on vegetation carbon storage based on four correlation and regression methods (including Pearson and partial correlation, ridge, and elastic net regression). The results show that the C. cinerascens community was the most dominant contributor to vegetation carbon storage, occupying 12.68% to 44.22% of the Poyang Lake wetland area. The vegetation carbon storage in the Poyang Lake wetland was significantly (p < 0.01) higher in spring (87.75 × 104 t to 239.10 × 104 t) than in autumn (77.32 × 104 t to 154.78 × 104 t). Water body area emerged as a key explanatory factor, as it directly constrains the spatial extent available for vegetation colonization and growth by alternating inundation and exposure. In addition, an earlier start or end to floods could both enhance vegetation carbon storage in spring or autumn. However, preseason precipitation and temperature are negative to carbon storage in spring but exhibited opposite effects in autumn. These results assessed the seasonal dynamics of dominant vegetation communities and helped understand the response of the wetland carbon cycle under the changing climate.

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Cite This Study

Yang et al. (2026) studied this question.

synapsesocial.com/papers/6969d518940543b977709ffbhttps://doi.org/10.3390/rs18020276
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