Biomass allocation and carbon density of Sophora moorcroftiana shrublands in the middle reaches of Yarlung Zangbo River, Xizang, China

doi:10.17521/cjpe.2016.0019

Abstract

Abstract:

Aims The expansion of shrublands is considered as one of the key reasons leading to the increase of carbon density in terrestrial ecosystems in China. In the present study, our aims were to explore the biomass allocation and carbon density of Sophora moorcroftiana shrublands in Xizang.
Methods We sampled the biomass of S. moorcroftiana shrubs from 18 sites in the middle reaches of Yarlung Zangbo River, Xizang. Using concentrations of different organs, we estimated the carbon density of different layers in S. moorcroftiana shrublands.
Important findings The plant cover rather than biomass volume (the product of cover and height) provided the best fit for aboveground biomass. The average of the total biomass was 5.71 Mg·hm^-2, ranging from 2.32 to 8.96 Mg·hm^-2. The average biomass of shrub layer, the main component of shrub ecosystem, was 4.08 Mg·hm^-2, accounting for 71% of the total biomass. The belowground biomass of shrub and herb layers was 2.08 and 0.86 Mg·hm^-2, respectively, which was higher than the corresponding aboveground biomass. The average biomass carbon density was 2.48 Mg·hm^-2. Shrub vegetation in the eastern part of the middle reaches has lower carbon density than that in the western part. The relatively high biomass allocation to roots to increase water and nutrient undertake as well as physical support for plants is an important strategy of S. moorcroftiana to cope with the arid environment on the Qinghai-Xizang Plateau. Moreover, the lower carbon density in the eastern part of the middle reaches might be due to the dry environment resulted from high temperature and evapotranspiration and enhanced human activities at low altitudes. The continuous decrease of evapotranspiration under scenarios of future climate change may lead to increase in carbon density in S. moorcroftiana shrublands.

http://jtp.cnki.net/bilingual/detail/html/ZWSB201701007

Key words: plant allometry, biomass volume, carbon density, crown breadth, middle reaches of Yarlung Zangbo River

Guang-Shuai CUI, Lin ZHANG, Wei SHEN, Xin-Sheng LIU, Yuan-Tao WANG. Biomass allocation and carbon density of Sophora moorcroftiana shrublands in the middle reaches of Yarlung Zangbo River, Xizang, China[J]. Chin J Plant Ecol, 2017, 41(1): 53-61.

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URL: https://www.plant-ecology.com/EN/10.17521/cjpe.2016.0019

https://www.plant-ecology.com/EN/Y2017/V41/I1/53

Figures/Tables 8

References 30

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模型 Model	器官 Organ	植株高度 Plant height (cm)		树冠投影面积 Crown projection area (cm²)		生物量体积 Biomass volume (cm³)
模型 Model	器官 Organ	回归方程 Regression equation	决定系数 Coefficient of deter- mination (R²)	回归方程 Regression equation	决定系数 Coefficient of deter- mination (R²)	回归方程 Regression equation	决定系数 Coefficient of deter- mination (R²)
线性模型 Linear model	枝 Branch	W_b = 19.21H - 317.6	0.56	W_b = 0.022C - 40.86	0.89	W_b = 0.0009V + 79.98	0.83
	叶 Leaf	W_l = 5.41H - 91.10	0.50	W_l = 0.006C - 5.95	0.69	W_l = 0.0003V + 18.96	0.78
	根 Root	W_r = 23.69H - 389.38	0.61	W_r = 0.025C - 5.27	0.82	W_r = 0.0011V + 125.47	0.80
	地上部分 Aboveground	W_a = 24.63H - 408.70	0.58	W_a = 0.028C - 46.81	0.90	W_a = 0.0012V + 98.94	0.87
	总生物量 Total biomass	W_t = 45.47H - 728.58	0.60	W_t = 0.051C - 40.63	0.89	W_t = 0.0022V + 224.32	0.86
对数模型 Logarithm model	枝 Branch	W_b = 547.73lnH - 1519.40	0.44	W_b = 250lnC - 1920.30	0.55	W_b = 187.5lnV - 1775.10	0.56
	叶 Leaf	W_l = 145.97lnH - 401.71	0.35	W_l = 64.62lnC - 490.61	0.41	W_l = 48.87lnV - 457.58	0.43
	根 Root	W_r = 457.85lnH - 1817.50	0.47	W_r = 289.76lnC - 2214.10	0.53	W_r = 220.28lnV - 2076.30	0.56
	地上部分 Aboveground	W_a = 693.69lnH - 1921.10	0.44	W_a = 314.62lnC - 2410.9	0.55	W_a = 236.37lnV - 2232.7	0.56
	总生物量 Total biomass	W_t = 1298lnH - 3578.50	0.47	W_t = 575.63lnC - 4378.2	0.56	W_t = 435.1lnV - 4081.5	0.58
指数模型 Exponential model	枝 Branch	W_b = 8.3174e^0.075^H	0.56	W_b = 32.188e^7E-^05C	0.59	W_b = 52.298e^3E-⁰⁶^V	0.40
	叶 Leaf	W_l = 4.5053e^0.061^H	0.50	W_l = 13.075e^6E-^05C	0.55	W_l = 19.174e^2E-⁰⁶^V	0.41
	根 Root	W_r = 17.132e^0.068^H	0.65	W_r = 64.966e^6E-^05C	0.56	W_r = 95.376e^2E-⁰⁶^V	0.41
	地上部分 Aboveground	W_a = 13.073e^0.071^H	0.56	W_a = 46.723e^7E-⁰⁵^C	0.60	W_a = 73.903e^2E-⁰⁶^V	0.42
	总生物量 Total biomass	W_t = 29.69e^0.070^H	0.60	W_t = 109.07e^6E-⁰⁵^C	0.58	W_t = 166.32e^2E-⁰⁶^V	0.41
幂函数模型 Power function model	枝 Branch	W_b = 0.0183H^2.565	0.63	W_b = 0.0011C^1.279	0.94	W_b = 0.0028V^0.938	0.92
	叶 Leaf	W_l = 0.0408H^1.999	0.53	W_l = 0.003C^1.039	0.86	W_l = 0.0074V^0.754	0.82
	根 Root	W_r = 0.0694H^2.313	0.75	W_r = 0.0135C^1.046	0.87	W_r = 0.0237V^0.789	0.91
	地上部分 Aboveground	W_a = 0.0418H^2.415	0.62	W_a = 0.0027C^1.211	0.94	W_a = 0.007V^0.886	0.92
	总生物量 Total biomass	W_t = 0.0979H^2.391	0.69	W_t = 0.0112C^1.138	0.93	W_t = 0.0241V^0.844	0.93

模型 Model	器官 Organ	植株高度 Plant height (cm)		树冠投影面积 Crown projection area (cm²)		生物量体积 Biomass volume (cm³)
模型 Model	器官 Organ	回归方程 Regression equation	决定系数 Coefficient of deter- mination (R²)	回归方程 Regression equation	决定系数 Coefficient of deter- mination (R²)	回归方程 Regression equation	决定系数 Coefficient of deter- mination (R²)
线性模型 Linear model	枝 Branch	W_b = 19.21H - 317.6	0.56	W_b = 0.022C - 40.86	0.89	W_b = 0.0009V + 79.98	0.83
	叶 Leaf	W_l = 5.41H - 91.10	0.50	W_l = 0.006C - 5.95	0.69	W_l = 0.0003V + 18.96	0.78
	根 Root	W_r = 23.69H - 389.38	0.61	W_r = 0.025C - 5.27	0.82	W_r = 0.0011V + 125.47	0.80
	地上部分 Aboveground	W_a = 24.63H - 408.70	0.58	W_a = 0.028C - 46.81	0.90	W_a = 0.0012V + 98.94	0.87
	总生物量 Total biomass	W_t = 45.47H - 728.58	0.60	W_t = 0.051C - 40.63	0.89	W_t = 0.0022V + 224.32	0.86
对数模型 Logarithm model	枝 Branch	W_b = 547.73lnH - 1519.40	0.44	W_b = 250lnC - 1920.30	0.55	W_b = 187.5lnV - 1775.10	0.56
	叶 Leaf	W_l = 145.97lnH - 401.71	0.35	W_l = 64.62lnC - 490.61	0.41	W_l = 48.87lnV - 457.58	0.43
	根 Root	W_r = 457.85lnH - 1817.50	0.47	W_r = 289.76lnC - 2214.10	0.53	W_r = 220.28lnV - 2076.30	0.56
	地上部分 Aboveground	W_a = 693.69lnH - 1921.10	0.44	W_a = 314.62lnC - 2410.9	0.55	W_a = 236.37lnV - 2232.7	0.56
	总生物量 Total biomass	W_t = 1298lnH - 3578.50	0.47	W_t = 575.63lnC - 4378.2	0.56	W_t = 435.1lnV - 4081.5	0.58
指数模型 Exponential model	枝 Branch	W_b = 8.3174e^0.075^H	0.56	W_b = 32.188e^7E-^05C	0.59	W_b = 52.298e^3E-⁰⁶^V	0.40
	叶 Leaf	W_l = 4.5053e^0.061^H	0.50	W_l = 13.075e^6E-^05C	0.55	W_l = 19.174e^2E-⁰⁶^V	0.41
	根 Root	W_r = 17.132e^0.068^H	0.65	W_r = 64.966e^6E-^05C	0.56	W_r = 95.376e^2E-⁰⁶^V	0.41
	地上部分 Aboveground	W_a = 13.073e^0.071^H	0.56	W_a = 46.723e^7E-⁰⁵^C	0.60	W_a = 73.903e^2E-⁰⁶^V	0.42
	总生物量 Total biomass	W_t = 29.69e^0.070^H	0.60	W_t = 109.07e^6E-⁰⁵^C	0.58	W_t = 166.32e^2E-⁰⁶^V	0.41
幂函数模型 Power function model	枝 Branch	W_b = 0.0183H^2.565	0.63	W_b = 0.0011C^1.279	0.94	W_b = 0.0028V^0.938	0.92
	叶 Leaf	W_l = 0.0408H^1.999	0.53	W_l = 0.003C^1.039	0.86	W_l = 0.0074V^0.754	0.82
	根 Root	W_r = 0.0694H^2.313	0.75	W_r = 0.0135C^1.046	0.87	W_r = 0.0237V^0.789	0.91
	地上部分 Aboveground	W_a = 0.0418H^2.415	0.62	W_a = 0.0027C^1.211	0.94	W_a = 0.007V^0.886	0.92
	总生物量 Total biomass	W_t = 0.0979H^2.391	0.69	W_t = 0.0112C^1.138	0.93	W_t = 0.0241V^0.844	0.93

样点 Plot No.	地上部分生物量 Aboveground biomass			根生物量 Root biomass	合计 Total
样点 Plot No.	枝 Branch	叶 Leaf	小计 Total	根生物量 Root biomass	合计 Total
1	0.62 ± 0.17	0.17 ± 0.04	0.79	0.84 ± 0.16	1.63
2	1.07 ± 0.17	0.32 ± 0.04	1.39	1.28 ± 0.06	2.67
3	0.62 ± 0.17	0.22 ± 0.03	0.84	1.03 ± 0.07	1.87
4	1.46 ± 0.18	0.37 ± 0.04	1.84	1.66 ± 0.19	3.50
5	0.72 ± 0.09	0.19 ± 0.02	0.90	1.00 ± 0.06	1.90
6	1.07 ± 0.04	0.39 ± 0.02	1.46	2.14 ± 0.19	3.60
7	1.34 ± 0.21	0.33 ± 0.04	1.67	1.71 ± 0.30	3.38
8	1.58 ± 0.28	0.41 ± 0.08	2.00	1.75 ± 0.24	3.74
9	1.63 ± 0.32	0.41 ± 0.08	2.03	1.92 ± 0.52	3.95
10	1.59 ± 0.55	0.40 ± 0.10	1.99	2.17 ± 0.66	4.16
11	2.07 ± 0.25	0.76 ± 0.08	2.83	3.06 ± 0.47	5.89
12	1.74 ± 0.14	0.48 ± 0.04	2.22	2.32 ± 0.18	4.55
13	1.30 ± 0.32	0.35 ± 0.06	1.65	1.78 ± 0.33	3.43
14	2.17 ± 0.09	0.64 ± 0.02	2.81	3.21 ± 0.02	6.02
15	2.92 ± 0.55	0.67 ± 0.10	3.59	4.12 ± 0.90	7.71
16	3.16 ± 0.37	0.71 ± 0.05	3.87	3.35 ± 0.38	7.21
17	1.03 ± 0.13	0.31 ± 0.03	1.34	1.05 ± 0.15	2.39
18	2.20 ± 0.38	0.57 ± 0.10	2.77	2.98 ± 0.60	5.75
平均Mean	1.57 ± 0.17	0.43 ± 0.04	2.00	2.08 ± 0.22	4.08

样点 Plot No.	地上部分生物量 Aboveground biomass			根生物量 Root biomass	合计 Total
样点 Plot No.	枝 Branch	叶 Leaf	小计 Total	根生物量 Root biomass	合计 Total
1	0.62 ± 0.17	0.17 ± 0.04	0.79	0.84 ± 0.16	1.63
2	1.07 ± 0.17	0.32 ± 0.04	1.39	1.28 ± 0.06	2.67
3	0.62 ± 0.17	0.22 ± 0.03	0.84	1.03 ± 0.07	1.87
4	1.46 ± 0.18	0.37 ± 0.04	1.84	1.66 ± 0.19	3.50
5	0.72 ± 0.09	0.19 ± 0.02	0.90	1.00 ± 0.06	1.90
6	1.07 ± 0.04	0.39 ± 0.02	1.46	2.14 ± 0.19	3.60
7	1.34 ± 0.21	0.33 ± 0.04	1.67	1.71 ± 0.30	3.38
8	1.58 ± 0.28	0.41 ± 0.08	2.00	1.75 ± 0.24	3.74
9	1.63 ± 0.32	0.41 ± 0.08	2.03	1.92 ± 0.52	3.95
10	1.59 ± 0.55	0.40 ± 0.10	1.99	2.17 ± 0.66	4.16
11	2.07 ± 0.25	0.76 ± 0.08	2.83	3.06 ± 0.47	5.89
12	1.74 ± 0.14	0.48 ± 0.04	2.22	2.32 ± 0.18	4.55
13	1.30 ± 0.32	0.35 ± 0.06	1.65	1.78 ± 0.33	3.43
14	2.17 ± 0.09	0.64 ± 0.02	2.81	3.21 ± 0.02	6.02
15	2.92 ± 0.55	0.67 ± 0.10	3.59	4.12 ± 0.90	7.71
16	3.16 ± 0.37	0.71 ± 0.05	3.87	3.35 ± 0.38	7.21
17	1.03 ± 0.13	0.31 ± 0.03	1.34	1.05 ± 0.15	2.39
18	2.20 ± 0.38	0.57 ± 0.10	2.77	2.98 ± 0.60	5.75
平均Mean	1.57 ± 0.17	0.43 ± 0.04	2.00	2.08 ± 0.22	4.08

样点 Plot No.	草本层 Herb layer			凋落物 Litterfall	合计 Total
样点 Plot No.	地上 Aboveground	地下 Underground	小计 Total	凋落物 Litterfall	合计 Total
1	0.53 ± 0.36	0.08 ± 0.02	0.61	0.08 ± 0.07	0.69
2	2.93 ± 0.76	1.16 ± 0.43	4.09	0.03 ± 0.01	4.12
3	0.62 ± 0.17	0.50 ± 0.18	1.12	0.27 ± 0.12	1.39
4	0.25 ± 0.15	0.17 ± 0.12	0.42	0.11 ± 0.04	0.53
5	0.40 ± 0.05	0.53 ± 0.20	0.93	0.20 ± 0.08	1.13
6	1.02 ± 0.91	0.81 ± 0.54	1.83	0.18 ± 0.10	2.01
7	0.40 ± 0.05	0.53 ± 0.20	0.93	0.10 ± 0.05	1.03
8	0.76 ± 0.02	0.98 ± 0.37	1.74	0.05 ± 0.01	1.79
9	2.11 ± 0.41	2.81 ± 0.30	4.92	0.09 ± 0.02	5.01
10	0.27 ± 0.07	0.13 ± 0.05	0.40	0.05 ± 0.01	0.45
11	0.13 ± 0.06	0.35 ± 0.13	0.48	0.17 ± 0.07	0.65
12	0.81 ± 0.17	1.07 ± 0.18	1.88	0.02 ± 0.00	1.90
13	0.17 ± 0.02	0.27 ± 0.02	0.44	0.07 ± 0.02	0.51
14	0.33 ± 0.11	2.17 ± 0.96	2.50	0.15 ± 0.08	2.65
15	0.14 ± 0.07	0.63 ± 036	0.78	0.15 ± 0.03	0.92
16	0.26 ± 0.10	0.75 ± 0.14	1.01	0.02 ± 0.01	1.03
17	0.25 ± 0.05	0.44 ± 0.06	0.70	0.07 ± 0.02	0.76
18	0.70 ± 0.22	2.09 ± 0.47	2.79	0.04 ± 0.01	2.83
平均 Mean	0.67 ± 0.17	0.86 ± 0.18	1.53	0.10 ± 0.02	1.63