福建长汀河田盆地的马尾松林碳储量时空动态变化

黄绍霖; 徐涵秋; 曾宏达; 刘智才; 王琳

doi:10.3799/dqkx.2013.106

福建长汀河田盆地的马尾松林碳储量时空动态变化

doi: 10.3799/dqkx.2013.106

黄绍霖^{1, 2, 3,},
徐涵秋^{1, 2, 3, ,},
曾宏达^{1, 2, 3, 4},
刘智才^{1, 2, 3},
王琳^{1, 2, 3}

1.
福州大学环境与资源学院，福建福州 350108
2.
福州大学遥感信息工程研究所，福建福州 350108
3.
福建省水土流失遥感监测评估与灾害防治重点实验室，福建福州 350108
4.
福建师范大学地理科学学院，福建福州 350007

基金项目:

教育部创新团队项目 IRT0960

详细信息

作者简介:
黄绍霖(1986-)，男，博士生，主要从事环境与资源遥感研究.E-mail: 515742109@qq.com

通讯作者:
徐涵秋，E-mail: hxu@fzu.edu.cn

中图分类号: TP79
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- 被引次数: 0
出版历程
- 收稿日期: 2013-08-03
- 刊出日期: 2013-09-15

Analysis of Spatial and Temporal Dynamics of Carbon Storage of Pinus Massoniana Forest in the Hetian Basin in County Changting of Fujian Province, China

HUANG Shao-lin^{1, 2, 3
,},
XU Han-qiu^{1, 2, 3
, ,},
ZENG Hong-da^{1, 2, 3, 4},
LIU Zhi-cai^{1, 2, 3},
WANG Lin^{1, 2, 3}

1.
College of Environment and Resources, Fuzhou University, Fuzhou 350108, China
2.
Institute of Remote Sensing Information Engineering, Fuzhou University, Fuzhou 350108, China
3.
Fujian Provincial Key Laboratory of Remote Sensing of Soil Erosion and Disaster Protection, Fuzhou University, Fuzhou 350108, China
4.
College of Geographical Science, Fujian Normal University, Fuzhou 350007, China

摘要

摘要: 以福建省长汀县侵蚀退化严重的河田盆地为例，重点研究该区水土流失生态修复的主要树种——马尾松林的碳储量动态变化.通过2011年的野外样地调查获得了马尾松林的实测数据，并将其与同期SPOT5影像对应样地改进的归一化植被指数(MNDVI)数据进行回归分析，建立了河田盆地2011年马尾松林碳储量的反演模型.进一步通过不变特征法对所获得的2011年模型进行校正，使其能够推广应用于2004年和2009年的马尾松林碳储量反演，以揭示河田盆地马尾松林碳储量在2004—2011年间的时空变化.研究结果表明，这期间河田盆地马尾松林的总碳储量和碳密度均呈逐步上升的趋势：总碳储量由2004年的9.28×10⁵ t增加到2011年的12.49×10⁵ t，碳密度由27.31×10^-4 t/m²增加到35.84×10^-4 t/m²，总的说明该区马尾松林的碳汇能力在这期间有了明显的增加，而且在2009—2011年间表现得更为明显.
- 遥感 /
- 马尾松林 /
- 碳储量 /
- 长汀 /
- 环境影响
Abstract: Implementing the ecological restoration by giving priority to planting trees in the eroded area, it is expected to increase the carbon sink of forests. This paper studies the dynamics of Pinus massoniana forest carbon storage of Hetian basin in Changting County of Fujian Province, southeastern China. As Pinus massoniana is the main species used in the ecological restoration, we carried out field surveys with 31 sampling sites in November 2011 to acquire basic data of Pinus massoniana forest in the study area. The regression analysis between the filed-acquired data and the modified normalized difference vegetation index (MNDVI) data derived from a near-synchronised SPOT5 image was performed in order to develop a model to estimate the carbon storage of Pinus massoniana forest in the Hetian basin area. The obtained 2011 model was then calibrated using pseudo-invariant feature (PIF) method to allow the model to be used for estimating the carbon storage of Pinus massoniana forest in 2004 and 2009. As a result, the spatial and temporal dynamics of carbon storage of Pinus massoniana forest in the Hetian basin during 2004 and 2011 were revealed. The results indicate a gradual increase in the carbon storage and carbon density of Pinus massoniana forest in the Hetian basin area in the study period. The carbon storage grew from 9.28×10⁵ t in 2004 to 12.49×10⁵ t in 2011, accompanied by an increase in carbon density from 27.31×10^-4 t/m² to 35.84×10^-4 t/m² during the period. This suggests a significant increase of the carbon sink of Pinus massoniana forest in the area, particularly in the last two years from 2009 to 2011.
- remote sensing /
- Pinus massoniana /
- carbon storage /
- Changting /
- environment effect

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图 1 研究区三维示意图

Fig. 1. 3D-perspective view of the study area

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图 2 研究技术路线

Fig. 2. Technical flow chart

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图 3 马尾松和芒萁FieldSpec3的实测高光谱反射光谱曲线

Fig. 3. FieldSpec3 measured spectral signature of Pinus massoniana and dicranopteris dichotoma

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图 4 马尾松林碳储量的实测值和预测值统计比较

Fig. 4. Comparison between measured and predicted carbon storage of Pinus massoniana forest

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图 5 各研究年份的马尾松林碳储量分布

Fig. 5. Spatial variations of the carbon storage of Pinus massoniana forest in the study area

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表 1 马尾松林碳储量反演模型

Table 1. Models for retrieving the carbon storage of Pinus massoniana forest

函数类型	NDVI	R²	RMSE	MNDVI	R²	RMSE
线性	C=185.35NDVI-91.357	0.386	19.601	C=151.351MNDVI-41.948	0.655	14.685
对数	C = 100.28ln(NDVI)+72.261	0.346	20.228	C=49.877ln(MNDVI)+67.703	0.525	17.240
二次多项式	C= 571.38NDVI²-487.83NDVI+102.93	0.447	19.018	C=-148.79MNDVI²+362.235MNDVI+14.232	0.737	13.114
乘幂	C = 308.23NDVI^6.602	0.592	0.805	C = 193.524MNDVI^3.103	0.801	0.561
指数	C = 0.008 3e^11.801NDVI	0.617	0.779	C=0.271 6e^8.818MNDVI	0.877	0.441
注：回归方程均通过0.1%的显著性检验.

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表 2 2004—2011年研究区的马尾松林碳储量统计

Table 2. The carbon storage of Pinus massoniana forest in the study area from 2004 to 2011

时间(年)	面积(10⁴ m²)	碳密度(10^-4 t/m²)	总碳储量(10⁵ t)
2004	33 965.40	27.31	9.28
2009	35 003.94	33.20	11.62
2011	34 856.45	35.84	12.49

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表 3 2004—2011年间各级马尾松林碳储量的分布统计

Table 3. The classified carbon storage of Pinus massoniana forest during the study years

碳储量范围(10^-4 t/m²)	面积所占百分比(%)			碳储量总量所占百分比(%)
碳储量范围(10^-4 t/m²)	2004年	2009年	2011年	2004年	2009年	2011年
C≤25	64.46	53.40	57.54	22.86	18.81	17.72
25＜C≤50	19.03	24.53	19.44	25.01	26.61	19.39
50＜C≤75	8.88	12.06	9.51	19.82	22.17	16.26
75＜C≤100	4.09	5.51	5.35	12.85	14.25	12.89
C＞100	3.54	4.50	8.16	19.47	18.16	33.74

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表 4 马尾松林碳储量在不同高程的分布特征

Table 4. Spatial variations of the carbon storage of Pinus massoniana forest with different altitudes

时间(年)	高程(m)	面积(10⁴ m²)	面积所占百分比(%)	平均碳储量(10^-4 t/m²)	总碳储量(10⁵ t)	总碳储量所占百分比(%)
2004	≤400	21 754.93	64.05	17.80	3.87	41.74
	400~600	9 917.48	29.20	37.09	3.68	39.65
	600~800	2 113.22	6.22	73.01	1.54	16.63
	＞800	179.78	0.53	101.82	0.18	1.97
2009	≤400	22 084.37	63.09	24.36	5.38	46.30
	400~600	10 988.52	31.39	45.56	5.01	43.08
	600~800	1 834.30	5.24	64.13	1.18	10.12
	＞800	96.74	0.28	59.42	0.06	0.49
2011	≤400	20 621.14	59.16	20.42	4.21	33.70
	400~600	10 608.53	30.43	49.24	5.22	41.82
	600~800	3 321.45	9.53	83.78	2.78	22.28
	＞800	305.32	0.88	90.20	0.28	2.20

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表 5 马尾松林碳储量在不同坡度的分布特征

Table 5. Spatial variations of the carbon storage of Pinus massoniana forest with different slopes

时间(年)	坡度(°)	面积(10⁴ m²)	面积所占百分比(%)	平均碳储量(10^-4 t/m²)	总碳储量(10⁵ t)	总碳储量所占百分比(%)
2004	≤5	9 463.51	27.86	22.45	2.12	22.90
	5~15	13 528.01	39.83	22.91	3.10	33.40
	15~25	7 120.64	20.96	32.28	2.30	24.77
	25~35	2 913.87	8.58	42.82	1.25	13.45
	35~45	788.24	2.32	52.38	0.41	4.45
	＞45	151.14	0.44	63.00	0.10	1.03
2009	≤5	9 251.32	26.43	28.93	2.68	23.03
	5~15	13 680.01	39.08	29.04	3.97	34.19
	15~25	7 773.11	22.21	37.68	2.93	25.20
	25~35	3 262.26	9.32	45.87	1.50	12.88
	35~45	877.88	2.51	52.20	0.46	3.94
	＞45	159.36	0.46	55.19	0.09	0.76
2011	≤5	9 362.68	26.86	29.56	2.77	22.16
	5~15	13 470.33	38.65	29.37	3.96	31.67
	15~25	7 460.13	21.40	42.19	3.15	25.19
	25~35	3 348.35	9.61	54.95	1.84	14.73
	35~45	1 009.36	2.90	63.70	0.64	5.15
	＞45	205.61	0.59	67.12	0.14	1.10

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