Frontiers in Plant Science (Feb 2024)

Full phenology cycle carbon flux dynamics and driving mechanism of Moso bamboo forest

  • Cenheng Xu,
  • Cenheng Xu,
  • Cenheng Xu,
  • Fangjie Mao,
  • Fangjie Mao,
  • Fangjie Mao,
  • Huaqiang Du,
  • Huaqiang Du,
  • Huaqiang Du,
  • Xuejian Li,
  • Xuejian Li,
  • Xuejian Li,
  • Jiaqian Sun,
  • Jiaqian Sun,
  • Jiaqian Sun,
  • Fengfeng Ye,
  • Fengfeng Ye,
  • Fengfeng Ye,
  • Zhaodong Zheng,
  • Zhaodong Zheng,
  • Zhaodong Zheng,
  • Xianfeng Teng,
  • Xianfeng Teng,
  • Xianfeng Teng,
  • Ningxin Yang,
  • Ningxin Yang,
  • Ningxin Yang

DOI
https://doi.org/10.3389/fpls.2024.1359265
Journal volume & issue
Vol. 15

Abstract

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IntroductionMoso bamboo forests, widely distributed in subtropical regions, are increasingly valued for their strong carbon sequestration capacity. However, the carbon flux variations and the driving mechanisms of Moso bamboo forest ecosystems of each phenology period have not been adequately explained.MethodsHence, this study utilizes comprehensive observational data from a Moso bamboo forest eddy covariance observation for the full phenological cycle (2011-2015), fitting a light response equation to elucidate the evolving dynamics of carbon fluxes and photosynthetic characteristics throughout the entire phenological cycle, and employing correlation and path analysis to reveal the response mechanisms of carbon fluxes to both biotic and abiotic factors.ResultsThe results showed that, First, the net ecosystem exchange (NEE) of Moso bamboo forest exhibits significant variations across six phenological periods, with LSOFF demonstrating the highest NEE at -23.85 ± 12.61 gC·m-2·5day-1, followed by LSON at -19.04 ± 11.77 gC·m-2·5day-1 and FGON at -17.30 ± 9.58 gC·m-2·5day-1, while NFOFF have the lowest value with 3.37 ± 8.24 gC·m-2·5day-1. Second, the maximum net photosynthetic rate (Pmax) and apparent quantum efficiency (α) fluctuated from 0.42 ± 0.20 (FGON) to 0.75 ± 0.24 mg·m-2·s-1 (NFOFF) and from 2.3 ± 1.3 (NFOFF) to 3.3 ± 1.8 μg·μmol-1 (LSOFF), respectively. Third, based on the path analysis, soil temperature was the most important driving factor of photosynthetic rate and NEE variation, with path coefficient 0.81 and 0.55, respectively, followed by leaf area index (LAI), air temperature, and vapor pressure difference, and precipitation. Finally, interannually, increased LAI demonstrated the potential to enhance the carbon sequestration capability of Moso bamboo forests, particularly in off-years, with the highest correlation coefficient with NEE (-0.59) among the six factors.DiscussionThe results provide a scientific basis for carbon sink assessment of Moso bamboo forests and provide a reference for developing Moso bamboo forest management strategies.

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