古尔班通古特沙漠灌木冠幅预测模型

古尔班通古特沙漠灌木冠幅预测模型

王明娜, 张定海, 张志山, 路丽宁

Canopy width prediction models for the Gurbantunggut Desert

Mingna Wang, Dinghai Zhang, Zhishan Zhang, Lining Lu

表2 冠幅预测的基础模型

Table 2 Basic model of canopy width prediction

模型	名称	表达式	模型	名称	表达式
M1	Linear	$y = a + b x_{1} + c x_{2}$	M7	Gompertz	$y = a e x p [- b e x p (- c x_{1} - d x_{2})]$
M2	Quadratic	$y = a + b x_{1} + c x_{1}^{2} + d x_{2} + e x_{2}^{2}$	M8	Growth	$y = e x p (a + b x_{1} + c x_{2})$
M3	Power	$y = a x_{1}^{b} + c x_{2}^{d}$	M9	Gauss	$y = a e x p (- [(x_{1} - b - x_{2} {- c) / d]}^{2})$
M4	Exponential	$y = a e x p (b x_{1} + c x_{2})$	M10	Mitscherlinch	$y = a [1 - e x p (- b x_{1} - c x_{2})]$
M5	Logarithmic	$y = a + b l g (x_{1}) + c l g (x_{2})$	M11	Hossfeld	$y = 1 / (a + b x_{1} + c x_{2})$
M6	Logistic	$y = a / [1 + b e x p (- c x_{1} - d x_{2})]$	M12	HossfeldⅠ	$y = [(x_{1} + x_{2}) / (a + b x_{1} + c x_{2} {)]}^{2}$