山西中条山林局油松纯林碳汇潜力

doi:10.11707/j.1001-7488.LYKX20240543

Abstract

Abstract:

Objective: The aim of this study was to develop a carbon storage growth graded model system incorporating carbon sequestration grade, stand density index, and stand age, and put forward a method for estimating carbon sequestration potentiality, which can be used to assess the carbon sequestration potentiality at forest management unit scale, thereby providing a basis for forest management to increase carbon sequestration. Method: Based on the data of permanent sample plots of Pinus tabuliformis pure forest of Shanxi Province and theoretical growth model, a double iterative grading algorithm was used to ascertain the carbon sequestration grade and to develop the carbon storage graded growth model system. This model system includes mean individual tree carbon storage graded, stand carbon storage graded, mean individual tree basal area graded and stand basal area graded growth models. Models were evaluated by the coefficient of determination (R²), root mean square error and relative root mean square error. The optimization method was applied to determine the optimal stand density that maximizes carbon sequestration potentiality, with the maximum stand carbon storage annual increment as the objective function and stand density as the decision variable. The realized carbon sequestration, potential carbon sequestration, and the gap between them were analyzed based on the sub-compartment survey data from Zhongtiaoshan Bureau of Shanxi Province. Result: The R² values were 0.920 and 0.903 for mean individual tree carbon storage graded growth model and basal area graded growth model respectively, and 0.966 and 0.985 for stand carbon storage graded growth model and basal area graded growth model, respectively, indicating a good fit for all growth models. Stand carbon sequestration potentiality increases initially and then decreases with stand age, and it rises with an increase of carbon sequestration grade. The average potential and realized carbon sequestration for P. tabuliformis pure forests was 1.59 and 0.97 t·hm^?2a^?1 at unit area, respectively, with an average relative carbon sequestration growth gap was 29.08% in Zhongtiaoshan Bureau. Conclusion: This study successfully established a carbon storage graded growth model system for P. tabuliformis pure foresr that can predict carbon storage growth process. It is recommended to make stand density adjustment for P. tabuliformis plantations to increase realized carbon sequestration. This approach can serve as a reference for carbon management aimed at increasing carbon sequestration in both P. tabuliformis forests and other forest types.

Key words: growth model, carbon sequestration grade, carbon sequestration potentiality, stand density optimization

CLC Number:

S757

Xiao He,Guangcheng Luo,Wenqiang Gao,Haikui Li,Weisheng Zeng,Fujun Duan,Xiangdong Lei. Carbon Sequestration Potentiality of Pinus tabuliformis Pure Forest in Zhongtiaoshan Forestry Bureau of Shanxi Province[J]. Scientia Silvae Sinicae, 2025, 61(5): 74-84.

Figures/Tables 7

Table 1

Table 2

Table 3

Evaluation indices of carbon storage graded growth model system"

模型 Model	模型表达式 Model expression	评价指标 Evaluation indices
模型 Model	模型表达式 Model expression	确定系数 Coefficient of determination (R²)	均方根误差 Root mean square error (RMSE)	相对均方根误差 Relative root mean square error (rRMSE) (%)
平均单株碳储量分级生长模型 Carbon storage graded growth model of mean individual tree	${C}_{\text{m}}\text{=}\left\{\begin{array}{l}\text{300}\text{.000}{\left[\text{1}-\text{exp(}-\text{0}\text{.027}T\text{)}\right]}^{\text{3}\text{.266}}\text{ }，l=1\\ \text{204}\text{.804}{\left[\text{1}-\text{exp(}-\text{0}\text{.027}T\text{)}\right]}^{\text{3}\text{.435}}\text{ }，l=2\\ \text{109}\text{.609}{\left[\text{1}-\text{exp(}-\text{0}\text{.027}T\text{)}\right]}^{\text{3}\text{.603}}\text{ }，l=3\end{array}\right. $	0.920	11.319 kg	25.74

平均单株断面积分级生长模型 Basal area graded growth model of mean individual tree	$ \text{MBA =}\left\{\begin{array}{l}\text{914}\text{.301}{\left[\text{1}－\text{exp(}－\text{0}\text{.023}T\right]}^{\text{2}\text{.299}}\text{ }，l=1\\ \text{596}\text{.247}{\left[\text{1}－\text{exp(}－\text{0}\text{.023}T\right]}^{\text{2}\text{.197}}\text{ }，l=2\\ \text{375}\text{.472}{\left[\text{1}－\text{exp(}－\text{0}\text{.023}T\right]}^{\text{2}\text{.296}}\text{ }，l=3\end{array} \right. $	0.903	36.667 cm²	21.36

林分碳储量分级生长模型 Stand carbon storage graded growth model	$ C\text{ =}\left\{\begin{array}{l}\text{500}\text{.000}{\left[\text{1}-\text{exp(}-\text{0}\text{.013}{(\dfrac{\text{SDI}}{3\text{ }000})}^{\text{1}\text{.478}}T\right]}^{\text{0}\text{.774}}\text{ }，l=1\\ \text{3}7\text{9}\text{.163}{\left[\text{1}-\text{exp(}-\text{0}\text{.013}{(\dfrac{\text{SDI}}{3\text{ }000})}^{\text{1}\text{.478}}T\right]}^{\text{0}\text{.730}}\text{ }，l=2\\ \text{2}58.327{\left[\text{1}-\text{exp(}-\text{0}\text{.013}{(\dfrac{\text{SDI}}{3\text{ }000})}^{\text{1}\text{.478}}T\right]}^{\text{0}\text{.681}}\text{ }，l=3\end{array}\right. $	0.966	5.463 t?hm^?2	13.35

林分断面积分级生长模型 Stand basal area graded growth model	$ \text{BA=}\left\{\begin{array}{l}\text{7}7.565\left[\text{1}-\text{exp(}-\text{0}\text{.048}(\dfrac{\text{SDI}}{3\text{ }000})^{\text{3}\text{.075}}T\right]^{\text{0}\text{.341}}\text{ }，l=1 \\ \text{6}9.249\left[\text{1}-\text{exp(}-\text{0}\text{.048}(\dfrac{\text{SDI}}{3\text{ }000})^{\text{3}\text{.075}}T\right]^{\text{0}\text{.336}}\text{ }，l=2 \\ \text{5}6.928\left[\text{1}-\text{exp(}-\text{0}\text{.048}(\dfrac{\text{SDI}}{3\text{ }000})^{\text{3}\text{.075}}T\right]^{\text{0}\text{.318}}\text{ }，l=3\end{array}\right. $	0.985	1.162 m²?hm^?2	6.98

Table 3

Fig.1

Fig.2

Table 4

Table 5

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变量Variables	平均值 Mean	最小值 Minimum	最大值 Maximum	变异系数 Coefficient of variation, CV (%)
林龄 Stand age /a	43	12	91	40.46
林分密度Stand density (N) / （trees·hm^?2）	1173	300	6100	54.37
林分密度指数Stand density index (SDI)	628	56	1970	49.46
林分断面积Stand basal area (BA) / (m²?hm^?2)	16.65	0.97	55.49	56.27
林分平均胸径Stand mean DBH (D_g) / cm	14.1	5.8	30.8	32.63
林分蓄积Stand volume (V) / ( m³?hm^?2)	63.77	2.62	285.83	67.50
林分碳储量Stand carbon storage (C) / (t?hm^?2)	40.93	1.39	200.33	72.30
平均单株断面积Mean individual tree basal area (MBA) /cm²	171.67	26.70	747.51	68.14
平均单株碳储量Mean individual tree carbon storage C_m/ kg	43.98	3.79	255.85	90.80

起源 Origin	小班数 Number of sub-compartment	变量Variables	平均值 Mean	最小值 Minimum	最大值 Maximum	变异系数 Coefficient of variation, CV (%)
天然 Natural	688	林龄 Stand age /a	37	5	82	36.33
		林分密度Stand density (N) / (trees·hm^?2)	602	105	3432	82.73
		林分密度指数Stand density index (SDI)	288	12	1270	81.00
		林分断面积Stand basal area (BA) / (m²?hm^?2)	7.20	0.17	32.96	86.73
		林分平均胸径Stand mean DBH (D_g) /cm	12.0	3.6	23.9	25.87
		林分蓄积Stand volume (V) / (m³?hm^?2)	52.90	2.31	220.33	58.77
		平均单株断面积Mean individual tree basal area (MBA) /cm²	119.67	10.18	448.63	51.81
人工 Plantation	3788	林龄 Stand age /a	33	7	60	25.59
		林分密度Stand density (N) / (trees·hm^?2)	716	100	5657	96.32
		林分密度指数Stand density index (SDI)	320	11	2368	98.27
		林分断面积Stand basal area (BA) / (m²?hm^?2)	7.78	0.14	81.14	101.81
		林分平均胸径Stand mean DBH (D_g) /cm	11.3	2.5	27.6	27.82
		林分蓄积Stand volume (V) / (m³?hm^?2)	48.42	0.60	258.00	56.21
		平均单株断面积Mean individual tree basal area (MBA) /cm²	109.26	4.91	598.28	56.37

尺度 Scale	项目 Item	固碳等级 Carbon sequestration class			总体 Total
尺度 Scale	项目 Item	l = 1 （n=507）	l = 2 （n=1 141）	l = 3 （n=2 828）	总体 Total
单位面积 Unit area	年现实碳汇量Realized carbon productivity increment (RCI) /(t·hm^?2a^?1)	2.32±1.81	1.42±1.23	0.63±0.65	1.02±1.16
	年碳汇潜力 Potential carbon productivity increment (PCI) /（t·hm^?2a^?1）	3.79±1.17	2.49±0.53	0.84±0.20	1.59±1.16
	碳汇提升空间Carbon productivity gap (CPG) / (t·hm^?2a^?1)	1.47±1.90	1.07±1.32	0.21±0.67	0.57±1.17
	相对碳汇提升空间 Relative carbon productivity gap （RCPG) (%)	37.19±51.6	41.22±53.87	22.73±81.75	29.08±73.04

森林经营单位 Forest management unit	年总现实碳汇量 Total realized carbon productivity increment (RCI) / (t·a^?1)	11 143	18 302	19 474	48 919
	年总碳汇潜力Total potential carbon productivity increment (PCI) / (t·a^?1)	20 087	33 767	25 072	78 925
	碳汇提升空间Carbon productivity gap (CPG) / (t·a^?1)	8 944	15 465	5 598	30 006
	相对碳汇提升空间Relative carbon productivity gap (RCPG) (%)	44.53	45.80	22.33	38.02

项目 Item	分组 Group	单位面积 Unit area	森林经营单位 Forest management unit
起源 Origin	天然林Natural forests	46.599±55.322	49.893
起源 Origin	人工林Plantations	25.891±75.382	35.858

龄组 Age group	幼龄林Young forests	44.687±59.423	43.350
	中龄林Middle-aged forests	20.340±79.411	31.539
	近熟林Near-mature forests	49.041±46.564	57.465
	成熟林Mature forests	61.272±25.492	62.712
	过熟林Over-mature forests	85.805	85.805

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Carbon Sequestration Potentiality of Pinus tabuliformis Pure Forest in Zhongtiaoshan Forestry Bureau of Shanxi Province

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