泉州湾河口湿地主要红树植物叶面积测算

Estimation of leaf area of dominant mangrove plants in Quanzhou Bay Estuarine wetland

关键词:  红树植物  叶面积测算  拟合回归方程

Key words:  mangrove plants  leaf area estimation  fitted regression equation

摘要:

植物叶面积的测算对于评价生态系统初级生产力具有重要意义。本研究分别选用“最大叶长”、“最大叶宽”以及“最大叶长×最大叶宽”等指标,利用不同类型的线性或非线性回归方程,对泉州湾河口湿地主要红树植物秋茄、桐花树和白骨壤的叶面积进行测算,从而确定各自最佳拟合回归方程。结果表明:二元非线性回归方程Y=0.7297X^<sup>0.8698</sub>1 X^<sup>1.1600</sub>2、幂指数方程Y=0.9740X0.9634和Y=0.7773X0.9954分别为秋茄、桐花树和白骨壤叶面积的最佳拟合回归方程。进一步的0-1回归检验和相对误差值分析显示,以上回归方程均能精确地估算各自的叶面积,其中,白骨壤叶面积测算更为精确。

Abstract:

Estimation of leaf area of plant was of great significance for the evaluation of the primary productivity of the ecosystem. Leaf area of dominant mangrove plants,Kandelia candel,Aegiceras corniculatum,and Avicennia marinawere estimated with the indices of maximum leaf length,maximum leaf width,and maximum leaf length×maximum leaf width by using different types of linear or nonlinear regression equations. Then the best fitted regression equation for each mangrove plant was determined,respectively. The results showed that the binary non-linear regression equation Y=0.7297X^<sup>0.8698</sub>1 X^<sup>1.1600</sub>2 was optimal fitted regression equation for estimation of leaf area of Kandelia candel,while the exponential equation Y=0.9740X0.9634 and Y=0.7773X0.9954were very suitable for estimation of leaf area of Aegiceras corniculatum and Avicennia marina,respectively. Regression testing of 0 -1 and analysis of coefficient of variation showed that the above regression equation could accurately estimate their leaf areas,especially more accurate for estimation of leaf area of A. marina.