东北地区主要造林树种幼苗期生物量分配特征与异速生长模型

doi:10.11707/j.1001-7488.LYKX20220428

Abstract

Abstract:

Objective: The biomass distribution characteristics and the species-specific allometric equations of the major afforestation tree species in Northeast China were analyzed in this study, to provide model reference for the biomass estimation of forests in this area. Method: This study was based on the biodiversity and ecosystem function experiment plantation in Shulan, Jilin Province. The well-growing trees in the forest plot were selected for whole-plant sampling from July to August 2021, and 15 to 21 individuals of each tree species were selected. The biomass of each tree’s roots, stems, and leaves were measured, respectively. Meanwhile, the aboveground (i.e., leaves + stems) biomass and the total (i.e., leaves + stems + roots) biomass were measured. The species-specific and all-tree species allometric models were established based on the dependent (i.e., tree height and base diameter) and independent variables (i.e., different organs, aboveground, and total biomass) using univariate linear, multivariate linear, and power functions. Coefficient of determination, parametric significance, and the Akaike Information Criterion (AIC) were employed to evaluate the models. Result: 1) The biomass distribution of the 10 tree species exhibited generally the highest proportion in stems (45%) followed by roots (35.5%), and the lowest proportion in leaves (19.5%). With the increase in base diameter, the proportion of stem biomass showed an upward trend, the proportion of leaf biomass showed a downward trend, while the proportion of root biomass did not change significantly. 2) The biomass equations in the form of power functions were demonstrated to be the best-fit equations. Specifically, the form of Y=a(D²H)^band Y=aD^b were selected as the optimal model for single-tree species, while the form of Y=a(D²H)^band Y=aD^bH^cwere selected as the optimal model all-tree species biomass models. Conclusion: The models in the form of a power function were identified as the optimal models, equations based on single tree species have high accuracy for species-specific biomass estimation, while the equation of whole tree species have wider applicability for regional biomass estimation.

Key words: biomass, allometric growth equation, single tree biomass model, all tree biomass model

CLC Number:

Hao Zhou,Baiketuerhan Yeerjiang,Huaijiang He,Chunyu Zhang,Xiuhai Zhao,Minhui Hao. Biomass Distribution Characteristics and Species-Specific Allometric Equations for Afforestation Species in Northeast China[J]. Scientia Silvae Sinicae, 2023, 59(11): 23-32.

Figures/Tables 7

Table 1

Fig.1

Fig.2

Fig.3

Fig.4

Table 2

Optimal biomass model for each component"

树种 Species	组分 Components	方程形式 Equation form	系数Coefficients			拟合优度 R²	显著性 P	校正因子 CF
树种 Species	组分 Components	方程形式 Equation form	a	b	c	拟合优度 R²	显著性 P	校正因子 CF
白桦 Betula platyphylla	地上生物量 Aboveground biomass	Y=a(D²H)^b	0.021*	0.775 *		0.87	<0.05	1.001
	整株生物量 Total biomass	Y=a(D²H)^b	0.023 *	0.794 *		0.83	<0.05	1.001
	根系生物量 Root biomass	Y=aD^b	0.088 *	2.133 *		0.67	<0.05	1.010
	茎干生物量 Stem biomass	Y=a(D²H)^b	0.017 *	0.780 *		0.88	<0.05	1.001
	叶片生物量 Leaf biomass	Y=a(D²H)^b	0.004 *	0.757 *		0.65	<0.05	1.015
红皮云杉 Picea koraiensis	地上生物量 Aboveground biomass	Y=a(D²H)^b	0.242 *	0.545 *		0.82	<0.05	1.003
	整株生物量 Total biomass	Y=aD^b	1.438 *	1.240 *		0.83	<0.05	1.003
	根系生物量 Root biomass	Y=aD^b	0.271 *	1.538 *		0.78	<0.05	1.073
	茎干生物量 Stem biomass	Y=a(D²H)^b	0.040 *	0.712 *		0.90	<0.05	1.006
	叶片生物量 Leaf biomass	Y=aD^b	0.982 *	0.852 *		0.48	<0.05	1.023
红松 Pinus koraiensis	地上生物量 Aboveground biomass	Y=a(D²H)^b	0.846 *	0.714 *		0.77	<0.05	1.003
	整株生物量 Total biomass	Y=a(D²H)^b	0.111 *	0.704 *		0.81	<0.05	1.002
	根系生物量 Root biomass	Y=aD^b	0.068 *	1.942 *		0.84	<0.05	1.011
	茎干生物量 Stem biomass	Y=a(D²H)^b	0.016 *	0.809 *		0.83	<0.05	1.007
	叶片生物量 Leaf biomass	Y=a(D²H)^b	0.082 *	0.655 *		0.67	<0.05	1.007
黄檗 Phellodendron amurense	地上生物量 Aboveground biomass	Y=a(D²H)^b	0.017 *	0.766 *		0.83	<0.05	1.003
	整株生物量 Total biomass	Y=a(D²H)^b	0.029 *	0.752 *		0.80	<0.05	1.003
	根系生物量 Root biomass	Y=aD^b	0.051 *	2.249 *		0.72	<0.05	1.009
	茎干生物量 Stem biomass	Y=a(D²H)^b	0.005 *	0.866 *		0.87	<0.05	1.003
	叶片生物量 Leaf biomass	Y=aD^b	0.214 *	1.249 *		0.41	<0.05	1.049
怀槐 Maackia amurensis	地上生物量 Aboveground biomass	Y=aD^bH^c	0.033 *	2.071 *	0.464 *	0.74	<0.05	1.002
	整株生物量 Total biomass	Y=aD^b	0.274 *	2.289 *		0.62	<0.05	1.002
	根系生物量 (Root biomass)	Y=aD^b	0.142 *	2.274 *		0.49	<0.05	1.004
	茎干生物量 Stem biomass	Y=a(D²H)^b	0.012 *	0.857 *		0.73	<0.05	1.003
	叶生物量 Leaf biomass	Y=aD^b	0.124 *	1.704 *		0.38	<0.05	1.010
色木槭 Acer mono	地上生物量 Aboveground biomass	Y=aH^b	0.007 *	1.729 *		0.58	<0.05	1.009
	整株生物量 Total biomass	Y=a(D²H)^b	0.135 *	0.590 *		0.67	<0.05	1.004
	根系生物量 Root biomass	Y=a(D²H)^b	0.051 *	0.583 *		0.62	<0.05	1.011
	茎干生物量 Stem biomass	Y=aD^bH^c	0.005 *	0.959 *	1.299 *	0.72	<0.05	1.010
	叶片生物量 Leaf biomass	Y=aH^b	0.052 *	0.998 *		0.22	<0.05	1.063
蒙古栎 Quercus mongolica	地上生物量 Aboveground biomass	Y=aD^b	0.593 *	1.394 *		0.71	<0.05	1.003
	整株生物量 Total biomass	Y=aD^b	2.155 *	1.152 *		0.52	<0.05	1.003
	根系生物量 Root biomass	Y=aD^b	1.719 *	0.966 *		0.31	<0.05	1.008
	茎干生物量 Stem biomass	Y=a(D²H)^b	0.021 *	0.715 *		0.79	<0.05	1.006
	叶片生物量 Leaf biomass	Y=aD^b	0.529 *	0.920 *		0.36	<0.05	1.023
水曲柳 Fraxinus mandshurica	地上生物量 Aboveground biomass	Y=a(D²H)^b	0.051 *	0.698 *		0.63	<0.05	1.003
	整株生物量 Total biomass	Y=a(D²H)^b	0.154 *	0.620 *		0.49	<0.05	1.003
	根系生物量 Root biomass	Y=a(D²H)^b	0.290	0.427		0.16	0.08	1.015
	茎干生物量 Stem biomass	Y=a(D²H)^b	0.038 *	0.715 *		0.65	<0.05	1.003
	叶片生物量 Leaf biomass	Y=a(D²H)^b	?0.582	0.019		0.18	0.06	1.187
胡桃楸 Juglans mandshurica	地上生物量 Aboveground biomass	Y=aH^b	0.339 *	0.877 *		0.65	<0.05	1.004
	整株生物量 Total biomass	Y=aH^b	1.759 *	0.595 *		0.47	<0.05	1.003
	根系生物量 Root biomass	Y=aH^b	0.244	0.145		0.03	0.46	1.011
	茎干生物量 Stem biomass	Y=aH^b	0.167 *	0.932 *		0.75	<0.05	1.004
	叶片生物量 Leaf biomass	Y=aH^b	0.190 *	0.783 *		0.31	<0.05	1.051
紫椴 Tilia amurensis	地上生物量 Aboveground biomass	Y=aD^bH^c	0.002 *	0.875 *	1.481 *	0.66	<0.05	1.004
	整株生物量 Total biomass	Y=a(D²H)^b	0.025 *	0.483 *		0.36	<0.05	1.004
	根系生物量 Root biomass	Y=aH^b	0.239	0.178		0.00	0.78	1.020
	茎干生物量 Stem biomass	Y=aD^bH^c	0.001 *	0.954 *	1.508 *	0.69	<0.05	1.005
	叶片生物量 Leaf biomass	Y=aH^b	0.002 *	1.611 *		0.35	<0.05	1.157
全树种 All species	地上生物量 Aboveground biomass	Y=aD^bH^c	0.296 *	1.336 *	0.278 *	0.56	<0.05	1.013
	整株生物量 Total biomass	Y=aD^bH^c	0.434 *	1.423 *	0.248 *	0.60	<0.05	1.008
	根系生物量 Root biomass	Y=aD^bH^c	0.114 *	1.549 *	0.242 *	0.49	<0.05	1.038
	茎干生物量 Stem biomass	Y=a(D²H)^b	0.041 *	0.664 *		0.73	<0.05	1.019
	叶片生物量 Leaf biomass	Y=aD^bH^c	2.595 *	0.985 *	?0.352 *	0.14	<0.05	1.115

Table 2

Table 3

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方程代码 Equation code	方程类型 Model styles	方程形式 Equations form	方程代码 Equation code	方程类型 Model styles	方程形式 Equations form
Eq.1	对数Logarithmic	lnY=lna+blnH	Eq.8	一元二次Quadratic	Y=aH²+b
Eq.2	对数Logarithmic	lnY=lna+blnD	Eq.9	一元二次Quadratic	Y=aD²+b
Eq.3	对数Logarithmic	lnY=lna+bln(D²H)	Eq.10	一元二次Quadratic	Y=aH+bH²+c
Eq.4	对数Logarithmic	lnY=lna+blnH+clnD	Eq.11	一元二次Quadratic	Y=aD+bD²+c
Eq.5	一元线性Linear	Y=aH+b	Eq.12	多元二次Multivariate quadratic	Y=aH+bD²+c
Eq.6	一元线性Linear	Y=aD+b	Eq.13	多元二次Multivariate quadratic	Y=aD+bH²+c
Eq.7	多元线性Multiple linear	Y=aH+bD+c	Eq.14	多元二次Multivariate quadratic	Y=aH²+bD²+c

检验类型Test type	叶片生物量 Leaf biomass	茎干生物量 Stem biomass	地上生物量 Aboveground biomass	根系生物量 Root biomass	整株生物量 Total biomass
t检验值t-value	5.69	1.84	5.77	2.09	0.70
P检验值P-value	P<0.05	P<0.05	P<0.05	P<0.05	0.25

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Biomass Distribution Characteristics and Species-Specific Allometric Equations for Afforestation Species in Northeast China

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