研究论文
C4植物玉米的光合-光响应曲线模拟研究
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- 1中国科学院植物研究所植被与环境变化国家重点实验室, 北京 100093
2中国科学院大学资源与环境学院, 北京 100049
3中国气象科学研究院, 北京 100081
网络出版日期: 2018-02-23
基金资助
国家自然科学基金(41330531)和国家公益性行业(气象)科研专项(GYHY201506019)
Modeling study on photosynthetic-light response curves of a C4 plant, maize
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- 1State Key Laboratory of Vegetation and Environmental Change, Institute of Botany, Chinese Academy of Sciences, Beijing 100093
2College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049
3Chinese Academy of Meteorological Sciences, , Beijing 100081
Online published: 2018-02-23
摘要
光是植物光合作用最基本的一个决定因子, 准确分析光响应曲线及其参数是研究光合生理生态过程对环境变化响应的重要途径; 但相关模型及其模拟的准确性仍待改进。该研究基于C4作物玉米(Zea mays)不同干旱处理试验资料, 比较研究了现有光响应模型(直角双曲线模型、非直角双曲线模型、直角双曲线修正模型、指数模型、二次函数模型以及新提出的改进模型)的适应性。结果表明, 改进的光响应模型具有较好的精确度, 可较准确地描述光响应曲线, 也能够准确拟合最大净光合速率、光饱和点、光补偿点以及暗呼吸速率4个关键光合参数。该结果为研究植物光合生理生态过程及其环境适应性提供了一个改进的模拟方法。
本文引用格式
李义博, 宋贺, 周莉, 许振柱, 周广胜 . C4植物玉米的光合-光响应曲线模拟研究[J]. 植物生态学报, 2017 , 41(12) : 1289 -1300 . DOI: 10.17521/cjpe.2017.0158
Abstract
Aims A light response curve can reflect a plant’s ability to utilize light, which is also a key tool in determining the relationship between photosynthetic capacity and environmental factors; however the model accuracies concerning the light response curve remain elusive. The objectives of this study were to compare and assess the model accuracies related to a light response curve and the effects of drought. Methods A field rain shelter was used to control the soil water conditions. To obtain photosynthesis parameters from the light response curve and the drought effects, the relevant models (including the rectangular model, non-rectangular hyperbolic model, modified rectangular hyperbolic model, exponential model, quadratic function model, and a newly modified model) were applied to fit the light response curves. The validity of each model was tested by analyzing the differences between the fitted values obtained by the models and the measured values. Important findings The newly modified model has been proved to performing relatively better in accurately describing the light response curve patterns, and credibly obtaining the crucial photosynthetic parameters such as the maximum net photosynthetic rate, light saturation point, light compensation point, and dark respiration rate, especially under high radiation conditions.
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