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闽江河口4种湿地植物最适光响应模型及其光合生理特性

Optimal Light Response Models and Photosynthetic Physiological Characteristics of Four Wetland Plants in the Minjiang River Estuary

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【作者】 陈华萍黄佳芳仝川李慧胡敏杰郭萍萍王英姿

【Author】 CHEN Huaping;HUANG Jiafang;TONG Chuan;LI Hui;HU Minjie;GUO Pingping;WANG Yingzi;Institute of Geography,Fujian Normal University;Fujian Minjiang River Estuary Wetland Ecosystem Observation and Research Station;Fujian Minjiang River Estuary Wetland National Nature Reserve Administrative Office;Fuzhou Natural Protected Areas Planning and Development Center;

【通讯作者】 黄佳芳;

【机构】 福建师范大学地理研究所福建闽江河口湿地生态系统定位观测研究站福建闽江河口湿地国家级自然保护区管理处福州市自然保护地规划发展中心

【摘要】 为深入了解湿地植物的光合生理特性,采用指数模型、直角双曲线模型、非直角双曲线模型以及直角双曲线修正模型对芦苇、水烛、互花米草和短叶茳芏4种湿地植物的光响应曲线进行拟合。结果表明:4种模型中,非直角双曲线模型的拟合精度最高,而指数模型在最大净光合速率和光饱和点方面的拟合效果最为突出,通过结合使用这两种模型能达到更好的拟合效果。在4种湿地植物中,互花米草的最大净光合速率和光饱和点最高,其耐强光能力最强,光合潜能最大,而芦苇的耐强光能力最弱,光合潜能最小。

【Abstract】 To gain a deeper understanding of the photosynthetic physiological characteristics of wetland plants, four light response models—the exponential model, rectangular hyperbola model, non-rectangular hyperbola model, and modified rectangular hyperbola model—were applied to fit the light response curves of four wetland plant species: Phragmites australis,Typha angustifolia,Spartina alterniflora,and Cyperus malaccensis.The results indicated that, among the four models, the non-rectangular hyperbola model achieved the highest fitting accuracy, while the exponential model performed best in terms of maximum net photosynthetic rate(Pnmax) and light saturation point(LSP).A combination of these two models produced a better fitting performance.Among the four wetland plants, Spartina alterniflora exhibited the highest Pnmax and LSP,demonstrating the strongest tolerance to intense light and the greatest photosynthetic potential, while Phragmites australis showed the weakest tolerance to intense light and the lowest photosynthetic potential.

【基金】 国家重点研发计划项目(2022YFC3105401);福建省自然科学基金(2024J01446);闽江河口湿地生态修复工程生态效应研究([350182]HDZB[GK]12024003);福建省高校产学合作项目(2025Y4006);福建省环保科技计划项目(2024R004);福建省红壤山地农业生态过程重点实验室开放课题(Aephers-202301);福州市自然保护地科研监测类项目(2023RZRBHD01、2023RZRBHD03)
  • 【文献出处】 福建师范大学学报(自然科学版) ,Journal of Fujian Normal University(Natural Science Edition) , 编辑部邮箱 ,2025年06期
  • 【分类号】Q945.11
  • 【下载频次】38
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