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植物光合作用模型参数的温度依存性研究进展

阿里穆斯1,2,3,于贵瑞3**   

  1. (1中央民族大学/中国少数民族传统医学国家民委教育部重点实验室, 北京 100081; 2中央民族大学中国少数民族传统医学研究院, 北京 100081;  3中国科学院地理科学与资源研究所, 北京 100101)
  • 出版日期:2013-12-18 发布日期:2013-12-18

Temperature dependence of parameters of plant photosynthesis models: A review.

BORJIGIDAI Almaz1,2,3, YU Gui-rui3   

  1. (1Minzu University of China/State Nationalities Affairs Commission and Ministry of Education Key Laboratory of Minority Traditional Medicine, Beijing 100081, China; 2Institute of Chinese Minority Traditional Medicine, Minzu University of China, Beijing 100081, China; 3Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China)
  • Online:2013-12-18 Published:2013-12-18

摘要: 综述了植物光合作用与温度响应模型研究的进展,围绕光合作用生化模型的4个主要参数:胞间CO2浓度、RuBP最大碳同化速率(Vc max)的活化能、RuBP最大再生速率(Jmax)的活化能和Jmax/Vc max,讨论了影响光合作用温度响应曲线的内在机理.随着生长温度的升高,所有物种的Vc max活化能均呈增加趋势,而其他参数的变化因物种不同而存在明显差异,说明Vc max的活化能可能是决定光合作用温度依存性的首要参数.最后分析了研究中存在的问题并提出研究展望,认为应整合叶片与群落水平的光合作用模型,从叶面积、太阳辐射、冠层结构、冠层小气候和光合能力等方面研究植物群落对全球变化的响应机理.这对于人们理解和准确估算植物生长、群落碳收支和生态系统初级生产力具有重要意义.

Abstract: This paper reviewed the progress on the temperature response models of plant photosynthesis. Mechanisms involved in changes in the photosynthesistemperature curve were discussed based on four  parameters, intercellular CO2 concentration, activation energy of the maximum rate of RuBP (ribulose1,5bisphosphate) carboxylation (Vc max), activation energy of the rate of RuBP regeneration (Jmax), and the ratio of Jmax to Vc max. All species increased the activation energy of Vc max with increasing growth temperature, while other parameters changed but differed among species, suggesting the activation energy of Vc max might be the most important parameter for the temperature response of plant photosynthesis. In addition, research problems and prospects were proposed. It’s necessary to combine the photosynthesis models at foliage and community levels, and to investigate the mechanism of plants in response to global change from aspects of leaf area, solar radiation, canopy structure, canopy microclimate and photosynthetic capacity. It would benefit the understanding and quantitative assessment of plant growth, carbon balance of communities and primary productivity of ecosystems.