高级检索+

两种紫薇属植物叶片形态及面积估算模型

Leaf Morphology and Leaf Area Estimation Model of Two Species of Lagerstroemia

  • 摘要: 以中国特有树种云南紫薇和外来树种大花紫薇成熟叶片为试材,采用图像处理法测算各样叶叶长(L)、叶宽(W)、叶周长(LW)和叶面积(LA),利用不同类型的线性或非线性回归方程对2个树种单叶叶面积进行拟合,研究了云南紫薇和大花紫薇叶片形态特征及单叶叶面积估算模型,以期为树种生态功能评价提供参考依据。结果表明:云南紫薇与大花紫薇成熟叶片的叶长(L)、叶宽(W)、叶周长(LW)和叶面积(LA)均存在显著差异,种内也存在不同程度变异;云南紫薇单叶面积拟合度最高的单变量回归模型是LA=4.254+0.305LW+0.051LW2和LA=6.200+0.063LW2(R2=0.932),多变量回归模型是LA=0.547L+0.449W(R2=0.884);大花紫薇单叶面积拟合度最高的单变量回归模型是LA=2.261W1.898(R2=0.834),多变量回归模型是LA=0.204L+0.371W+0.442LW(R2=0.907)。由此可知,云南紫薇与大花紫薇叶片形态特征各不相同,同一树种的叶片形态特征也存在差异,可用拟合度最高的单变量或多变量回归模型进行云南紫薇和大花紫薇单叶叶面积估算。

     

    Abstract: Taking the mature leaves of Chinese endemic species Lagerstroemia intermedia and exotic species Lagerstroemia speciosa as test materials, the leaf length(L),leaf width(W),leaf perimeter(LW) and leaf area(LA) of sample leaves were measured by image processing method, and the single leaf area of the two species was fitted by different types of linear or nonlinear regression equations.The leaf morphological characteristics and estimation model of single leaf area of L.intermedia and L.speciosa were studied, in order to provide reference for ecological function evaluation of tree species.The results showed that there were significant differences in leaf length(L),leaf width(W),leaf perimeter(LW) and leaf area(LA) between L.intermedia and L.speciosa.The univariate regression model with the highest fitting degree of single leaf area of L.intermedia was LA=4.254+0.305LW+0.051LW~2 and LA=6.200+0.063LW~2(R~2=0.932),and the multivariate regression model was LA=0.547 l+0.449W(R~2=0.884).The univariate regression model with the highest fitting degree of single leaf area of L.speciosa LA=2.261×W1.898(R~2=0.834),and the multivariable regression model was LA=0.204L+0.371W+0.442LW(R~2=0.907).It could be seen that the leaf morphological characteristics of L.intermedia and L.speciosa were different, and the leaf morphological characteristics in the same tree species were also different.The single leaf area of L.intermedia and L.speciosa could be estimated by the univariate or multivariate regression model with the highest fitting degree.

     

/

返回文章
返回