Effects of different rotations on carbon sequestration in Chinese fir plantations

doi:10.17521/cjpe.2015.0407

Abstract

Abstract:

Aims Under the context of global climate change, scientific management is the main way to enhance carbon sequestration of plantation forests. A reasonable rotation is one of the intensive management strategies, adjusting forest structure. The decline of productivity after continuous multigenerational cultivation is strongly related to its rotation. Therefore, it is necessary to study the effects of different rotations on carbon sequestration of Chinese fir (Cunninghamia lanceolata) plantations, which can provide a theoretical basis for their sustainable management.
Methods We set up sampling fields of Chinese fir plantations with different age sequences, and used the observation data to test the FORECAST model. We then simulated the effects of different rotations on Chinese fir plantations sequestration using FORECAST model.
Important findings The results showed that over a 150-year period, total carbon sequestration was highest under short rotation length (15-year). However the carbon persistence was poorest and the decline of carbon between each rotation was biggest, indicating an unsustainable management model. Compared with short rotation, the total carbon sequestration under normal rotation (25-year) and long rotation (50-year) was lower. However, the carbon persistence under long rotation was strongest, which was beneficial to maintaining carbon stability during each rotation. Under good site conditions (site index (SI) = 27), the shorter the rotation was, the more severely the soil fertility was consumed. In order to have persistent carbon sequestration rates in Chinese fir plantations, we suggest that rotation should be longer than 25 years. Application of FORECAST model can help quantitatively assess carbon sequestration capacity of forest plantations, which varies under different management strategies.

http://jtp.cnki.net/bilingual/detail/html/ZWSB201607003

Key words: FORECAST model, ecological rotation, carbon sequestration, soil available nitrogen, sustainable management

Wei-Feng WANG, Yu-Xi DUAN, Li-Xin ZHANG, Bo WANG, Xiao-Jing LI. Effects of different rotations on carbon sequestration in Chinese fir plantations[J]. Chin J Plant Ecol, 2016, 40(7): 669-678.

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https://www.plant-ecology.com/EN/Y2016/V40/I7/669

Figures/Tables 7

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主要参数 Major parameters	立地条件好 Rich site condition (SI = 27)	立地条件差 Poor site condition (SI = 17)
氮浓度(新叶/老叶/死叶) Nitrogen concentration in leaves (young/old/dead) (%)	1.53 / 1.36 / 1.13	1.21 / 1.11 / 0.93
氮浓度(茎边材/茎心材) Nitrogen concentration in stems (sapwood/heartwood) (%)	0.14 / 0.03	0.12 / 0.03
氮浓度(活树皮/死树皮) Nitrogen concentration in barks (live/dead) (%)	0.44 / 0.27	0.37 / 0.24
氮浓度(活树枝/死树枝) Nitrogen concentration in branches (live/dead) (%)	0.67 / 0.52	0.55 / 0.47
氮浓度(根边材/根心材) Nitrogen concentration in root (sapwood/heartwood) (%)	0.37 / 0.06	0.35 / 0.06
氮浓度(活细根/死细根) Nitrogen concentration in fine roots (live/dead) (%)	1.17 / 0.97	0.96 / 0.79
遮阴的叶最大生物量 Shading by maximum foliage biomass (%, full light)	8	30
占据土壤体积最大的细根生物量 Soil volume occupied at maximum fine root biomass (%)	100	95
根获取氮的效率 Efficiency of N root capture (%)	98	100
保留时间(新叶/老叶/枯死枝) Retention time for young/old foliage/dead branches (a)	1 /2 / 40	1 / 2/ 40
细根周转 Fine roots turnover (a)	0.95	1.35
边材分解率 Decomposition rates of sapwood (by litter age) (%·a^-1)	1-5 a (2.0); 6-10 a (10.0); 11-15 a (30.0); 16-20 a (20.0); >20 a (4.0)
心材分解率 Decomposition rates of heartwood (%·a^-1)	1-10 a (0.4); 11-15 a (10.0); 16-25 a (15.0); 25-40 a (10.0); >40 a (2.0)
树皮分解率 Decomposition rates of bark (%·a^-1)	1-5 a (2.0); 6-20 a (12.0); 20-40 a (20.0); >40 a (4.0)
树枝和粗根分解率 Decomposition rates of branches and large roots (%·a^-1)	1-5 a (10.0); 6-10 a (45.0); 11-15 a (35.0); >15 a (4.0)
针叶分解率 Decomposition rates of needles (%·a^-1)	1-2 a (27.0); 3-5 a (30.0); 6-10 a (40.0); >10 a (3.0)	1-2 a (20.0); 3-5 a (30.0); 6-10 a (40.0); >10 a (2.0)
细根分解率 Decomposition rates of fine roots (%·a^-1)	1-2 a (30.0); 3-4 a (50.0); >4 a (9.0)

主要参数 Major parameters	立地条件好 Rich site condition (SI = 27)	立地条件差 Poor site condition (SI = 17)
氮浓度(新叶/老叶/死叶) Nitrogen concentration in leaves (young/old/dead) (%)	1.53 / 1.36 / 1.13	1.21 / 1.11 / 0.93
氮浓度(茎边材/茎心材) Nitrogen concentration in stems (sapwood/heartwood) (%)	0.14 / 0.03	0.12 / 0.03
氮浓度(活树皮/死树皮) Nitrogen concentration in barks (live/dead) (%)	0.44 / 0.27	0.37 / 0.24
氮浓度(活树枝/死树枝) Nitrogen concentration in branches (live/dead) (%)	0.67 / 0.52	0.55 / 0.47
氮浓度(根边材/根心材) Nitrogen concentration in root (sapwood/heartwood) (%)	0.37 / 0.06	0.35 / 0.06
氮浓度(活细根/死细根) Nitrogen concentration in fine roots (live/dead) (%)	1.17 / 0.97	0.96 / 0.79
遮阴的叶最大生物量 Shading by maximum foliage biomass (%, full light)	8	30
占据土壤体积最大的细根生物量 Soil volume occupied at maximum fine root biomass (%)	100	95
根获取氮的效率 Efficiency of N root capture (%)	98	100
保留时间(新叶/老叶/枯死枝) Retention time for young/old foliage/dead branches (a)	1 /2 / 40	1 / 2/ 40
细根周转 Fine roots turnover (a)	0.95	1.35
边材分解率 Decomposition rates of sapwood (by litter age) (%·a^-1)	1-5 a (2.0); 6-10 a (10.0); 11-15 a (30.0); 16-20 a (20.0); >20 a (4.0)
心材分解率 Decomposition rates of heartwood (%·a^-1)	1-10 a (0.4); 11-15 a (10.0); 16-25 a (15.0); 25-40 a (10.0); >40 a (2.0)
树皮分解率 Decomposition rates of bark (%·a^-1)	1-5 a (2.0); 6-20 a (12.0); 20-40 a (20.0); >40 a (4.0)
树枝和粗根分解率 Decomposition rates of branches and large roots (%·a^-1)	1-5 a (10.0); 6-10 a (45.0); 11-15 a (35.0); >15 a (4.0)
针叶分解率 Decomposition rates of needles (%·a^-1)	1-2 a (27.0); 3-5 a (30.0); 6-10 a (40.0); >10 a (3.0)	1-2 a (20.0); 3-5 a (30.0); 6-10 a (40.0); >10 a (2.0)
细根分解率 Decomposition rates of fine roots (%·a^-1)	1-2 a (30.0); 3-4 a (50.0); >4 a (9.0)

指标 Index	优势木高 Top height	优势木胸径 Dominant DBH	地上生物量 Total tree biomass	地被物量 Ground cover biomass
平均偏差 Average bias	0.66 m	-0.47 cm	-5.89 Mg·hm^-2	0.01 Mg·hm^-2
平均绝对偏差 Mean absolute deviation	1.01 m	0.98 cm	11.38 Mg·hm^-2	0.59 Mg·hm^-2
皮尔森系数 Pearson’s r	0.97	0.96	0.95	0.82
泰尔系数 Theil’s r	0.07	0.07	0.13	0.21
模型效率 Modeling efficiency	0.96	0.92	0.95	0.85
最大可信度 Relaxed e* (α = 0.05)	1.63 m	1.69 cm	21.91 Mg·hm^-2	1.03 Mg·hm^-2
最小可信度 Exigent e* (α = 0.20)	1.23 m	1.27 cm	15.94 Mg·hm^-2	0.78 Mg·hm^-2

指标 Index	优势木高 Top height	优势木胸径 Dominant DBH	地上生物量 Total tree biomass	地被物量 Ground cover biomass
平均偏差 Average bias	0.66 m	-0.47 cm	-5.89 Mg·hm^-2	0.01 Mg·hm^-2
平均绝对偏差 Mean absolute deviation	1.01 m	0.98 cm	11.38 Mg·hm^-2	0.59 Mg·hm^-2
皮尔森系数 Pearson’s r	0.97	0.96	0.95	0.82
泰尔系数 Theil’s r	0.07	0.07	0.13	0.21
模型效率 Modeling efficiency	0.96	0.92	0.95	0.85
最大可信度 Relaxed e* (α = 0.05)	1.63 m	1.69 cm	21.91 Mg·hm^-2	1.03 Mg·hm^-2
最小可信度 Exigent e* (α = 0.20)	1.23 m	1.27 cm	15.94 Mg·hm^-2	0.78 Mg·hm^-2

轮伐期 Rotation (a)	平均年固碳量 Mean annual carbon sequestration (Mg·hm^-2·a^-1)
轮伐期 Rotation (a)	ABCS		UBCS		TBCS		SOC		TCS		ABCS		UBCS		TBCS		SOC		TCS
	SI = 17	SI = 27	SI = 17	SI = 27	SI = 17	SI = 27	SI = 17	SI = 27	SI = 17	SI = 27	SI = 17	SI = 27	SI = 17	SI = 27	SI = 17	SI = 27	SI = 17	SI = 27	SI = 17	SI = 27
15	1.08	2.68	0.27	0.67	1.36	3.34	1.05	2.25	2.41	5.59	16.30	40.13	4.11	10.00	20.40	50.17	15.70	33.70	36.10	83.90
25	1.06	2.77	0.26	0.68	1.32	3.45	0.73	1.51	2.05	4.96	26.50	69.36	6.53	16.90	33.10	86.27	18.10	37.80	51.20	124.00
50	0.86	2.15	0.17	0.05	1.03	2.20	0.47	0.88	1.50	3.08	42.80	107.30	8.73	2.69	51.50	110.00	23.30	44.20	74.80	154.00