植被光能利用率研究进展  

Light use efficiency of vegetation:A review

作　　者：赵育民[1] 牛树奎[1] 王军邦[2] 李海涛[2] 李贵才[3] 

机构地区：[1]北京林业大学资源与环境学院,北京100083 [2]中国科学院地理科学与资源研究所生态网络中心,北京100101 [3]中国气象局中国遥感卫星辐射测量和定标重点实验室国家卫星气象中心,北京100081

出　　处：《生态学杂志》2007年第9期1471-1477,共7页Chinese Journal of Ecology

基　　金：国家自然科学基金资助项目(30500064)

摘　　要：光能利用率是表征植物固定太阳能效率的指标,指植物通过光合作用将所截获/吸收的能量转化为有机干物质的效率,是植物光合作用的重要概念,也是区域尺度以遥感参数模型监测植被生产力的理论基础。传统的研究方法是通过生物量收获法分别确定植物生长和辐射量,求年或生长季比值;涡度相关技术作为目前直接测定植被冠层与大气间的CO2和水热交换量的唯一方法,使从冠层到景观水平的光能利用率估计成为可能。由于植被类型的差异和气候环境的综合影响使光能利用率表现出显著的空间异质性和时间动态性。在全球尺度上,利用耦合大气CO2观测、卫星遥感和大气辐射传输模型的反演模拟,发现净初级生产力的光能利用率存在明显的地理分异。影响光能利用率时空变异性的因子包括植物内在因素(如叶形、叶羧化酶含量)和外在环境因素。针对光能利用率的时空特征及其波动,建立在通量观测及模型分析基础上的跨尺度模拟,将成为今后该领域的研究重点。Light use efficiency （LUE） represents the efficiency of vegetation in converting solar energy to biomass through interception/absorption and photosynthesis. It is an important index in quantifying the solar energy utility of vegetation in photosynthesis, and the theoretical basis in large scale monitoring vegetation productivity based on remote sensing. The general method of determining LUE is to estimate the plant biomass by harvest on plot scale, and then, a value of LUE is given as a ratio of biomass and observed solar energy for a whole year or a growth season. Eddy covariance technique is regarded as a unique method which can directly observe the flux of CO2, H20 and heat between atmosphere and vegetation, making it possible to estimate LUE on large scale from canopy to landscape. LUE has specific spatial heterogeneity and temporal variability, because of the differences of vegetation and climate. On global scale, the inversion simulation by coupling atmospheric CO2 observation, remote sensing and atmospheric radiation transfers model can confirm the geographic variance of LUE of net primary productivity. There are many factors affecting the spatio-temporal pattern of LUE, mainly including plant physiological （such as leaf form and ribulose diphosphatecarboxylase content） and environmental factors. In order to give a good answer on the spatio-temporal pattern and its fluctuation of LUE, the crossing-scale modeling based on flux observation and model analysis may be an important research field in the future.

关 键 词：光能利用率 生物量收获法 涡度相关 生理生态 空间异质性 

分 类 号：Q948[生物学—植物学]