通量贡献区叶面积指数空间分布的测定

Spatial distribution measurement of leaf area index in flux contributing source of eddy covariance flux tower

  • 摘要: 使用循环采样设计方案,对海北沼泽化湿地生态系统涡度相关通量观测塔的通量贡献区内叶面积指数进行了实地调查。根据样方叶面积指数的实地测量值和样方的GPS空间定位信息,利用空间插值方法绘制了通量贡献区内的叶面积指数空间分布图。并基于数字摄影与地理信息系统技术,提出了一种测量速度快、计算精度高、适合多种植物叶片叶面积测量的新方法。该方法在ArcGIS的GRID模块下对叶片图像进行格式转化和重新采样处理,使用自行编写的色阶诊断程序提取图像中叶片的叶面积。研究结果表明:此种方法叶面积测量结果与LI-3000A叶面积仪所测的结果具有很好的吻合性,两者的线性回归方程决定系数R2为0.98,叶面积的测量精度完全可以达到实际应用中的测量要求。

     

    Abstract: Cyclic sampling design was used to investigate leaf area index(LAI) in flux contributing source of eddy covariance flux tower swamp ecosystems of Haibei.Depending on measured values of LAI and geographical information of GPS sample positions,spatial distribution map of LAI in flux contributing source was mapped out using spatial interpolation method.A new method of measuring leaf area based on digital photography and geographic information system technology was advanced.It is a quick and high-precision method,well adaptable to a diversity of vegetation leaf.In the GRID environment of ArcGIS,original format of digital image of the leaf was transformed and the leaf image resolution made finer by using re-sampling functions.Leaf area was then extracted from the digital leaf image using self-ordained chroma diagnosis program in arc -macro language(AML).The results suggest that leaf area values computed by the method match well with measured leaf areas by instrumental methods(LI-3000A),as their linear regression determination coefficient (R2)turn out to be 0.98.It demonstrates that the accuracy of leaf area measurement by the method meets practical leaf area measurement requirements.

     

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