Relationship Between Crown Width and DBH of Larix pricipis-rupperchtii with Different Site Types

doi:10.13466/j.cnki.lyzygl.2019.04.010

Abstract

Abstract:

The optimal crown amplitude prediction model for Larix principis-rupprechtii plantation was constructed to provide scientific reference for studying its growth and development rules,site quality assessment and productivity prediction.In this study,the plantation of Larix principis-rupprechtii in Saihanba mechanical forest farm in Hebei province was used as the research object.Data from 155 sample plots(30 m by 30 m) were used to classify site types based on the factor analysis and cluster analysis.Constructing crown predication model of Larix principis-rupprechtii plantation on different site types.The results showed that altitude,slope and aspect were the main site factors affecting the crown growth of Larix principis-rupprechtii plantations,and the site types were classified into two ones.According to the determination coefficient R ² of 0.9795 and 0.9834,respectively,Bias of them were respectively 0.0001and0.8259,and RMSE of them were respectively 0.0019 and 0.65718,a site prediction model of the crown amplitude was determined,and a comprehensive comparative analysis of high altitude CW=-2.5972+0.6211D-0.0098D ²and low altitude CW=[D/(4.9823+0.2059D)] ² equation predicts the growth of Larix principis-rupprechtii plantation in Saihanba mechanical forest farm,which provides a theoretical basis for the scientific management of Larix principis-rupprechtii plantation.

Key words: site type, crown prediction model, plantation, Larix principis-rupprechtii, DBH

CLC Number:

S757.2

ZHANG Dongyan, WANG Dongzhi, FAN Dongdong, ZHANG Jiandong, LI Dayong. Relationship Between Crown Width and DBH of Larix pricipis-rupperchtii with Different Site Types[J]. FOREST RESOURCES WANAGEMENT, 2019, (4): 69-73.

Figures/Tables 8

Tab.1

Tab.2

The candidate crown width models

模型编号	模型表达式	来源
M1	$CW = a D b$	S?nmez^[20]
M2	$CW = a b D$	Sánchez-González et al.^[21]
M3	$CW = a + bD + c D 2$	S?nmez^[20]
M4	$CW = D / a + bD 2$	S?nmez^[20]
M5	$CW = 1 / a + b / D$	罗玲^[22]

Tab.2

Tab.3

Fig.1

Tab.4

Tab.5

Fig.2

Fig.3

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数据	样本数	变量	平均值	最大值	最小值	标准差
建模数据	97株	胸径/cm	19.61	27.9	9.1	4.32
		冠幅/m	4.70	7.94	2.50	1.22
		年龄/a	38	53	29	5.59
		密度/(株/hm²)	937.92	1477	718	111.28
		树高/m	15.59	21.6	8.73	2.96
		海拔/m	1402.83	1812	952.9	250.40
		坡度/(°)	15	37	1	8.61
检验数据	50株	胸径/cm	19.04	26.4	13.4	2.75
		冠幅/m	4.28	5.8	1.75	0.82
		年龄/a	33	42	23	4.61
		密度/(株/hm²)	946.6	1428	796	123.71
		树高/m	14.47	20.1	9.8	2.50
		海拔/m	1493.38	1884	1090	266.48
		坡度/(°)	19	34	5	7.02

因子	冠幅	海拔	坡度	坡位
海拔	0.281^**
坡度	-0.263^**	-0.266^**
坡位	-0.025	0.176^*	-0.013
土层厚度	0.055	0.073	0.136	-0.071

模型	参数	估计值	标准误	近似95%置信区间		R²	Bias	RMSE
M1	a b	2.1769 1.0483	0.2396 0.0055	1.6946 1.0372	2.6593 1.0593	0.9761	0.0063	0.8764
M2	a b	0.4044 0.8852	0.1149 0.0945	0.1731 0.6951	0.6358 1.0753	0.9782	0.0044	0.8367
M3	a b c	-2.5972 0.6211 -0.0098	1.9750 0.2237 0.0060	-6.5750 0.1706 -0.0219	1.3806 1.0716 0.0023	0.9795	0.0001	0.8259
M4	a b	3.4617 0.2417	0.3915 0.0197	2.6736 0.2021	4.2497 0.2812	0.9790	0.0036	0.8233
M5	a b	0.0237 3.0028	0.0174 0.3617	-0.0114 2.2748	0.0587 3.7307	0.9783	0.0077	0.8333

模型	参数	估计值	标准误	近似95%置信区间		R²	Bias	RMSE
M1	a b	1.6957 1.0527	0.2225 0.0062	1.2479 1.0401	2.1435 1.0652	0.9821	-4.9779	5.2157
M2	a b	0.1865 1.0839	0.0700 0.1219	0.0456 0.8385	0.3274 1.3294	0.9830	0.0023	0.6780
M3	a b c	-4.3761 0.6537 -0.0095	3.2018 0.3165 0.0077	-10.8248 0.0163 -0.0249	2.0727 1.2912 0.0060	0.9713	0.0031	0.6727
M4	a b	4.9823 0.2059	0.5822 0.0269	3.8103 0.1518	6.1543 0.2600	0.9834	0.0019	0.6718
M5	a b	-0.0135 4.4393	0.0244 0.5410	-0.0626 3.3502	0.0355 5.5283	0.8531	-3.4336	4.2743