Study on the Characteristics and Influencing Factors of the Single Tree Stem Form of Cunninghamia lanceolata Plantation in Hunan Province

doi:10.13466/j.cnki.lyzygl.2020.05.013

Abstract

Abstract:

With the research object of single tree of Cunninghamia lanceolata plantation in Hunan Province,the variation characteristics and influencing factors of that were studied by using the coefficient of variation method,one-way analysis of variance,pearson correlation analysis and multiple linear regression analysis.Research indicates:1) Through the variation coefficient method,the coefficient of variation of the experimental form factor of the single tree in Cunninghamia lanceolata plantation (0.112 7) was smaller than the coefficient of variation of the breast-height form factor (0.204 0),indicating that the experimental form factor was of good stability.2) one-way analysis of variance was used to study the form factor growth rhythm of different tree height levels and diameter at breast height (DBH) levels.The results showed that the breast-height form factor of single tree in Cunninghamia lanceolata plantation had significant differences at different DBH levels (sig<0.05),and they were negatively correlated;The experimental form factor were significantly different at different tree height levels (sig<0.05),and they were positively correlated.3) Pearson correlation analysis showed that there were some differences in the influencing factors between the breast-height form factor and the experimental form factor.The breast-height form factor was of extremely significant positive correlation with slope (p<0.01),was of significant positive correlation with slope position (p<0.05),and was of extremely significant negative correlation with altitude,stand age and DBH (p<0.01).The experimental form factor was of extremely significant negative correlation with altitude (p<0.01),and was of significant negative correlation with stand density and stand age (p<0.05),but was of extremely significant positive correlation with slope and tree height (p<0.01),and was of significant positive correlation with slope position and dry humidity (p<0.05).4) The results of multiple linear regression showed that the fitting effects of the two form factor models were significant (sig<0.05),the adjusted R ² of the breast-height form factor model was 0.417,and the experimental form factor model adjusted R ² was 0.495,indicating the regression equation can explaine 41.7% and 49.5% of the respective variation.

Key words: Cunninghamia lanceolata plantation, breast-height form factor, experimental form factor, site factors, correlation analysis

CLC Number:

S791.27

XU Bingbing, BIAN Gengzhan, YI Xuan, ZHU Guangyu, QI Zhantao, LV Yong. Study on the Characteristics and Influencing Factors of the Single Tree Stem Form of Cunninghamia lanceolata Plantation in Hunan Province[J]. FOREST RESOURCES WANAGEMENT, 2020, (5): 82-88.

Figures/Tables 12

Tab.1

Tab.2

Breast-height form factor and experimental form factor of Cunninghamia lanceolata

样木号	H/m	D/cm	V_实/m³	f_1.3	f_$\ni$
1	8.5	19.6	0.0702	0.2737	0.2023
2	7.7	11.8	0.0341	0.4048	0.2913
3	10.9	15.1	0.1625	0.8293	0.6503
4	11.2	11.9	0.0798	0.6442	0.5076
5	14.2	19.3	0.2343	0.5642	0.4658
6	12.9	21.8	0.3665	0.7612	0.6176
7	16.2	21.3	0.2663	0.4613	0.3982
?	?	?	?	?	?
467	11.3	16.8	0.1312	0.5238	0.4139

Tab.2

Tab.3

Variation coefficient comparison of form factor

形数	最大值	最小值	平均值	标准差 (CD)	变异系数 (CV)
f_1.3	0.8293	0.2737	0.5039	0.1028	0.2040
f_{> $\ni$}	0.8602	0.2023	0.4142	0.0467	0.1127

Tab.3

Tab.4

Variance analysis of form factor and diameter at breast height

形数	方差齐性检验(sig)	平方和	自由度 (df)	均方	F	显著性 (sig)
f_1.3	0.605	0.058	7	0.008	3.041	0.004
f_{> $\ni$}	0.453	0.024	7	0.003	1.692	0.109

Tab.4

Fig.1

Tab.5

Variance analysis of form factor and tree height

形数	方差齐性检验(sig)	平方和	自由度 (df)	均方	F	显著性 (sig)
f_1.3	0.109	0.028	5	0.006	2.010	0.076
f_{> $\ni$}	0.456	0.147	5	0.029	16.762	0.000

Tab.5

Fig.2

Tab.6

The correlation coefficient of influencing factors

因子	f_1.3	f_{> $\ni$}
海拔/m	-0.516^**	-0.548^**
坡度/(°)	0.453^**	0.437^**
石砾含量/(%)	-0.034	-0.066
有机质(养分)/(%)	0.018	0.024
林分密度/(株/hm²)	0.039	-0.098^*
林分年龄/a	-0.163^**	-0.111^*
伐倒木全树高(H)/m	-0.025	0.341^**
伐倒木胸径(D)/cm	-0.209^**	0.088
坡位	0.107^*	0.100^*
坡向	-0.086	-0.079
坡形	0.059	0.070
土壤厚度/cm	-0.001	0.060
干湿度/(%)	0.060	0.127^*

Tab.6

Tab.7

Tab.8

Fig.3

Fig.4

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地区	株数/株	胸径/cm			树高/m
地区	株数/株	平均值	最大值	最小值	平均值	最大值	最小值
常德	91	16.3	22.0	9.8	11.7	16.4	6.7
郴州	32	17.1	24.0	10.2	12.2	17.0	7.6
衡阳	69	15.8	30.5	10.2	10.9	21.4	6.2
永州	115	16.7	23.2	10.8	12.5	17.9	7.5
邵阳	39	16.3	24.2	10.0	12.4	17.7	8.4
湘西州	78	16.7	25.4	9.2	13.3	17.6	8.5
益阳	43	16.2	11.7	21.0	12.2	16.7	8.7

模型1的显著因子	未标准化系数		标准化系数	t	显著性	共线性统计			sig
模型1的显著因子	回归系数(B)	标准错误	Beta	t	显著性	容差		VIF	sig
常量	0.550	0.022		25.177	0.000
海拔/m	-6.478E-5	0.000	-0.400	-9.702	0.000	0.744	1.345
坡位	0.005	0.002	0.102	2.720	0.007	0.900	1.111		0.417	0.000
坡度/(°)	0.002	0.000	0.278	7.150	0.000	0.836	1.197
H/m	0.004	0.001	0.181	2.965	0.003	0.340	2.941
D/cm	-0.007	0.001	-0.425	-6.258	0.000	0.273	3.659

模型2的显著因子	未标准化系数		标准化系数	t	显著性	共线性统计			sig
模型2的显著因子	回归系数(B)	标准错误	Beta	t	显著性	容差		VIF	sig
常量	0.355	0.017		20.453	0.000
海拔/m	-5.303E-5	0.000	-0.384	-10.006	0.000	0.744	1.345
坡位	0.004	0.002	0.096	2.750	0.006	0.900	1.111		0.495	0.000
坡度/(°)	0.001	0.000	0.262	7.234	0.000	0.836	1.197
H/m	0.010	0.001	0.532	9.373	0.000	0.340	2.941
D/cm	-0.006	0.001	-0.402	-6.347	0.000	0.273	3.659