植物叶片最大羧化速率对多因子响应的模拟

植物叶片最大羧化速率是表征植物光合能力的重要参数,建立植物叶片最大羧化速率的模拟模型将有助于准确预测植物的光合作用和陆地生态系统生产力.植物叶片最大羧化速率与环境因子之间存在诸多相关性,分析植物叶片最大羧化速率与环境因子的相关关系是建立植物叶片最大羧化速率模拟模型的有效途径.对来自104篇文献的植物叶片最大羧化速率数据及其对应的环境因子进行整理和分析发现,植物叶片最大羧化速率受温度、土壤含水量、CO2浓度以及土壤含氮量的显著影响.其中,温度、土壤含水量和CO2浓度均与植物叶片最大羧化速率呈单峰型曲线关系,土壤含氮量与植物叶片最大羧化速率呈显著的线性关系.据此,建立了温度、土壤含水量、CO2浓度以及土壤含氮量综合影响的植物叶片最大羧化速率模型.验证表明,该模型能较好地模拟不同环境条件下植物叶片的最大羧化速率,为陆地生态系统模型准确模拟植物光合作用提供了参数依据.

Primary simulation on the response of leaf maximum carboxylation rate to multiple environmental factors

Plant maximum carboxylation rate plays a key role in terrestrial ecosystem model and also is an important parameter which represents plant photosynthetic capacity,thus a simulation model of plant maximum carboxylation rate will be very helpful to accurately predict plant photosynthesis rate and terrestrial productivity.Current studies reveal the high correlations between plant maximum carboxylation rate and environmental factors,so analysis of the relationship between plant maximum carboxylation rate and environmental factors is an effective way to establish the simulation model of plant maximum carboxylation rate.Based on the data of leaf maximum carboxylation rate and corresponding environmental factors from 104 literatures,the effects of environmental factors,such as temperature,soil water content,CO2 content and soil N content,on leaf maximum carboxylation rate were analyzed.Results showed that plant leaf maximum carboxylation rate presented a hyperbolic relationship with temperature,soil water content CO2 content,and a positive linear relationship with soil N content.Based on these relationships,a leaf maximum carboxylation rate model was developed considering the interactive effects of multiple environmental factors.The model was validated successfully,and it could explain 72.3% of the variation of leaf maximum carboxylation rate.This research provides a common parameter of leaf maximum carboxylation rate for accurate simulation of plant photosynthesis.