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草业学报 ›› 2012, Vol. 21 ›› Issue (1): 239-247.

• 研究论文 • 上一篇    下一篇

基于MODIS算法的藏北高寒草甸的光能利用效率模拟

付刚1,2,沈振西1*,张宪洲1,石培礼1,何永涛1,武建双1,2,周宇庭1,2   

  1. 1.中国科学院地理科学与资源研究所 生态系统网络观测与模拟重点实验室 拉萨高原生态系统研究站,北京100101;
    2.中国科学院研究生院,北京 100049
  • 出版日期:2012-02-20 发布日期:2012-02-20
  • 通讯作者: E-mail:shenzx@igsnrr.ac.cn
  • 作者简介:付刚(1984-),男,河北保定人,在读博士。
  • 基金资助:
    国家科技支撑计划项目(2007BAC06B01,2006BAC01A04),国家重点基础研究发展计划(2010CB833500)和国家自然基金项目(41171084,40771121)资助。

Modelling light use efficiency of alpine meadows on the Northern Tibetan Plateau based on the MODIS algorithm

WU Jian-shuang1,2, ZHOU Yu-ting1,2   

  1. 1.Lhasa Plateau Ecosystem Research Station, Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China;
    2.Graduate University of Chinese Academy of Sciences, Beijing 100049, China
  • Online:2012-02-20 Published:2012-02-20

摘要: 光能利用效率(light use efficiency,LUE)是指初级生产力与植被冠层所吸收的光合有效辐射(absorbed photosynthetically active radiation,APAR)之比,它反映了植被利用光能的能力。定量化生产力的时空变化是定量化全球碳循环的重要研究内容,而LUE作为光能生产力模型中的一个重要参数,是定量化生产力时空变化的基础。因此,定量化全球植被的LUE是定量化全球碳循环的重要组成部分。基于MODIS光能利用效率算法,本研究模拟了2004-2005年藏北高寒草甸生态系统的光能利用效率(LUEMODIS),并用观测的光能利用效率(LUEEC)对模型进行了验证。在MODIS算法中,日最低气温(Tamin)和饱和水汽压亏缺(VPD)分别被用来计算温度胁迫因子(Tscalar)和水分胁迫因子(Wscalar)。相关分析和多重逐步回归分析结果表明,相对于Wscalar,Tscalar更能够解释观测的LUE的季节变化。2004和2005年的模拟值分别高估了约14.97%和16.57%的观测值,但配对T检验显示模拟值和观测值差异不显著,即基于MODIS的LUE算法在模拟藏北高寒草甸LUE方面具有较高的精度。相关分析表明,观测的LUE与Tamin的相关性好于观测的LUE与平均气温的相关性,这表明在反应藏北高寒草甸生态系统LUE的季节变异方面,Tamin优于平均气温。总之,基于MODIS算法的LUE模型能够比较准确地定量化藏北高寒草甸生态系统的LUE。

Abstract: Light use efficiency (LUE) is defined as the ratio of primary production to absorbed photosynthetically active radiation (APAR) by a vegetation canopy and it reflects the capability of using luminous energy. Quantitative analysis of the temporal and spatial variations of primary production is based on the quantitative analysis LUE and is an important component of quantitative analysis of the global carbon cycle. Therefore, quantitative analysis of the global vegetation LUE is an important component of quantitative analysis of the global carbon cycle. The LUE of alpine meadows on the Northern Tibetan Plateau were modeled based on the MODIS LUE algorithm in 2004-2005. Daily minimum air temperature (Tamin) and vapor pressure deficit (VPD) were used to calculate the temperature attenuation scalar (Tscalar) and water attenuation scalar (Wscalar), respectively. Based on correlation analysis and multiple stepwise linear regression analysis, the Tscalar might explain more seasonal variations of LUE than the Wscalar. Modeled LUE values were about 14.97% and 16.57% larger than observed LUE values in 2004 and 2005, respectively. However, there was no significant difference between modeled LUE and observed LUE. This means that the LUE model based on the MODIS algorithm had high accuracy to model LUE of alpine meadows on the Northern Tibetan Plateau. Correlation analysis showed that the correlation coefficient between observed LUE and Tamin was larger than that between observed LUE and mean air temperature. This indicated that Tamin was better than mean air temperature in quantitative analysis of the LUE seasonal change. The LUE model based on the MODIS algorithm accurately quantified the LUE of alpine meadows on the Northern Tibetan Plateau.

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