摘要
采用5种数学模型(直角双曲线模型、非直角双曲线模型、二次函数模型、指数模型、直角双曲线修正模型)对不同光照与水分处理下景宁木兰(Magnolia sinostellata)幼苗光响应过程进行拟合分析,以期筛选出光照与水分胁迫下景宁木兰适宜的光响应模型。结果表明:(1)5种拟合模型对景宁木兰光响应过程拟合精度为:指数模型>直角双曲线修正模型>直角双曲线模型>非直角双曲线模型>二次函数模型。(2)光合参数的拟合效果表现为:指数模型对景宁木兰最大净光合速率(Pnmax)、光饱和点(LSP)进行求解较准确,直角双曲线修正模型对光补偿点(LCP)求解最佳,而暗呼吸速率(Rd)的结果采用非直角双曲线模型较为合理。(3)景宁木兰幼苗能适应一定的弱光及流动水环境,而深度遮阴及积水环境抑制景宁木兰幼苗的光合速率。
Five light response models of photosynthesis （exponential, rectangular hyperbolic, non-rectangular hyperbolic, quadratic function, and modified rectangular hyperbola） were applied to analyze the light response curves ofMagnolia sinostellata seedlings under different light intensity and moisture conditions. The results showed that： （1） The fitting accuracy of those models followed the order： exponential 〉 modified rectangular hyperbola 〉 rectangular hyperbola 〉 non-rectangular hyperbola 〉 quadratic function. （2） The light response parameters in fitting effect indicated that the exponential model could result in more accurate maximum net photosynthetic rate （Pnmax） and light saturation point （LSP）. The rectangular hyperbolic model was the best one at figuring out light compensation point （LCP）. The non-rectangular hyperbolic model was more reasonable to figure out dark respiration rate （Rd）. （3）M. sinostellata seedlings could adapt to the environment with weak light and flowing water, but not for strong shading and waterlogging environment.
出处
《生态学杂志》
CAS
CSCD
北大核心
2018年第3期898-905,共8页
Chinese Journal of Ecology
基金
国家自然科学基金项目(31400599)
浙江省十三五林木新品种选育重大科技专项(2016C02056-12)
国家林业局林业公益性行业项目(201504322)资助
关键词
光响应模型
净光合速率
光合参数
光照强度
土壤水分
light response model net photosynthetic rate photosynthetic parameter light intensity soil moisture.
