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以亚热带森林建群种苦槠为试验材料,采用5种光响应模型对4个CO_2浓度下苦槠叶片的光响应曲线进行模拟,比较不同CO_2浓度下适宜的光响应模型,探讨苦槠对CO_2浓度变化的响应规律。结果表明:5种模型对苦槠叶片光响应曲线的拟合效果优劣次序为直角双曲线修正模型>指数改进模型>指数模型>非直角双曲线模型>直角双曲线模型;直角双曲线修正模型对光饱和点(LSP)和最大净光合速率(Pmax)的拟合效果最好,非直角双曲线模型对暗呼吸速率(Rd)的拟合效果最好;5种光响应模型对不同CO_2浓度有不同的适应性,直角双曲线模型、指数模型和直角双曲线修正模型适合低CO_2浓度,非直角双曲线模型适合高CO_2浓度;随CO_2浓度的增加,光补偿点(LCP)和Rd逐渐减小而Pmax逐渐增大;CO_2浓度的增大可以提高苦槠的光合能力及其对弱光的利用能力,并抑制呼吸作用。
In this study, five light response models were used to simulate the light response curves of the leaves of bitter otter leaves at four CO_2 concentrations. The appropriate light response models at different CO_2 concentrations were compared to investigate the effects of CO_2 Response of concentration changes. The results showed that the order of fitting effect of the five models on the light response curve of bitter leaves was rectangular hyperbolic correction model> index improved model> exponential model> non-rectangular hyperbola model> rectangular hyperbola model; rectangular hyperbola modified model The fitting effect of LSP and Pmax was the best, and that of the non-rectangular hyperbola model was the best for fitting the dark respiration rate (Rd). The effects of five light response models on the CO 2 concentration There are different adaptability, rectangular hyperbolic model, exponential model and rectangular hyperbola correction model for low CO 2 concentration, non-rectangular hyperbola model for high CO 2 concentration; with CO 2 concentration increases, light compensation point (LCP) and Rd gradually reduced While the Pmax increased gradually. The increase of CO 2 concentration could enhance the photosynthetic ability and its ability to utilize weak light and inhibit the respiration.