黄土高原植被恢复潜力研究

doi:10.11821/dlxb201705008

地理学报 ›› 2017, Vol. 72 ›› Issue (5): 863-874.doi: 10.11821/dlxb201705008

黄土高原植被恢复潜力研究

高海东¹(), 庞国伟², 李占斌^1,³(), 程圣东¹

1. 西北旱区生态水利工程国家重点实验室培育基地西安理工大学,西安 710048
2. 西北大学城市与环境学院,西安 710127
3. 黄土高原土壤侵蚀与旱地农业国家重点实验室,杨凌 712100

收稿日期:2016-10-25 修回日期:2017-03-20 出版日期:2017-05-20 发布日期:2017-05-20
作者简介:
作者简介：高海东(1983-), 男, 内蒙古乌审旗人, 博士, 讲师, 研究方向为土壤侵蚀与水土保持。E-mail: hdgao@xaut.edu.cn; hdgao@msn.cn
基金资助:
国家自然科学基金项目(41401305, 51609196);国家重点研发计划(2016YFC0402406-ZT2)

Evaluating the potential of vegetation restoration in the Loess Plateau

Haidong GAO¹(), Guowei PANG², Zhanbin LI^1,³(), Shengdong CHENG¹

1. State Key Laboratory Base of Eco-hydraulic Engineering in Arid Area, Xi'an University of Technology,Xi'an 710048, China
2. College of Urban and Environmental Science, Northwest University, Xi'an 710127, China
3. State Key Laboratory of Soil Erosion and Dryland Agriculture on Loess Plateau, Institute ofSoil and Water Conservation, CAS and Ministry of Water Resources, Yangling 712100, Shaanxi, China

Received:2016-10-25 Revised:2017-03-20 Published:2017-05-20 Online:2017-05-20
Supported by:
National Natural Science Foundation of China, No.41401305, No.51609196;National Key Research and Development Program of China, No.2016YFC0402406-ZT2

摘要/Abstract

摘要：

黄土高原从1999年开始大规模退耕还林（草）,植被覆盖发生了较大变化,对黄土高原植被恢复现状和恢复潜力进行评估具有重要意义。本文使用1999-2013年SPOT VEG NDVI数据,采用线性回归、Hurst指数分析法、统计学方法以及地理空间分析技术,对黄土高原植被恢复状况和潜力进行了探讨。结论主要为：① 1999年退耕还林（草）以来,黄土高原植被覆盖度呈显著上升趋势,黄土高原三分之二地区的植被将会持续改善;② 植被响应曲线分析表明,黄土区植被覆盖度和干旱指数呈显著的指数关系,且缓坡相关性大于陡坡。土石山区植被响应函数为线性函数,相关系数下降;③ 整个黄土高原地区平均植被恢复潜力为69.75%。植被恢复潜力值东南高而西北低,黄土高原东南地区植被恢复状况较好,其植被恢复潜力指数较小,而植被恢复潜力指数较高的地区主要为北方风沙区及西部丘陵沟壑区;④ 不同降水量条件下,植被恢复速度差别显著,其中降水量在375~575 mm之间的地区,植被恢复最快。植被恢复措施应该“因水制宜”,避免因造林带来的土壤干化加剧。研究结果以期为黄土高原生态文明建设提供科学支撑。

关键词: 黄土高原, 植被恢复潜力, NDVI, 趋势分析, 植被响应曲线

Abstract:

The "Grain for Green" project has been initiated in the Loess Plateau since 1999, and would be continuously promoted in the future. Therefore, it is of important significance to assess the vegetation restoration and its potential in the Loess Plateau. In this paper, based on the SPOT VEG NDVI dataset, the trend analysis, Hurst exponent method, statistical methods and geographical spatial analysis technology were adopted. Results showed that NDVI from 1999 to 2013 had a significant upward trend and the vegetation of 2/3 of the area would continue to improve. In loessal areas, the analysis of vegetation response curve indicated that vegetation coverage had a significant exponential relationship with drought index. Such relationship of gentle slope was more obvious than that of steep slope. The best vegetation response function of soil and rock-mountainous areas was linear function. Its correlation coefficient was lower than that of loessal areas. In the future, the average vegetation restoration potential of the Loess Plateau could reach 69.75%, which was high in the southeast and low in the northwest of the plateau. The region with better vegetation restoration would have lower vegetation restoration potential index. The vegetation restoration potential was mainly concentrated in the northern sandy land as well as in the western hilly and gully area. Subsequently, the differences of vegetation restoration rate for this region under different precipitation thresholds were remarkable, among which the area with precipitation of 375-450 mm had fast vegetation restoration. The measures "adaptation to water conditions" should be taken so as to avoid soil drying for afforestation. The results provided scientific support for the construction of ecological civilization on the Loess Plateau.

Key words: Loess Plateau, potential of vegetation restoration, NDVI, trend analysis, vegetation response curve

高海东, 庞国伟, 李占斌, 程圣东. 黄土高原植被恢复潜力研究[J]. 地理学报, 2017, 72(5): 863-874.

Haidong GAO, Guowei PANG, Zhanbin LI, Shengdong CHENG. Evaluating the potential of vegetation restoration in the Loess Plateau[J]. Acta Geographica Sinica, 2017, 72(5): 863-874.

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参考文献 26

[1]	Hou X Y, Wu T, Yu L J, et al.Characteristics of multi-temporal scale variation of vegetation coverage in the Circum Bohai Bay Region, 1999-2009. Acta Ecologica Sinica, 2012, 32(6): 297-304. doi: 10.1016/j.chnaes.2012.08.001
[2]	Dotterweich M.The history of human-induced soil erosion: Geomorphic legacies, early descriptions and research, and the development of soil conservation: A global synopsis. Geomorphology, 2013, 201(4): 1-34. doi: 10.1016/j.geomorph.2013.07.021
[3]	Sun W Y, Shao Q Q, Liu J Y, et al.Assessing the effects of land use and topography on soil erosion on the Loess Plateau in China. Catena, 2014, 121(7): 151-163. doi: 10.1016/j.catena.2014.05.009
[4]	Wang F, Mu X M, Li R et al. Co-evolution of soil and water conservation policy and human-environment linkages in the Yellow River Basin since 1949. Science of the Total Environment, 2015, 508: 166-177. doi: 10.1016/j.scitotenv.2014.11.055 pmid: 25478653
[5]	Bullock A, King B.Evaluating China's Slope Land Conversion Program as sustainable management in Tianquan and Wuqi counties. Journal of Environmental Management, 2011, 92(8): 1916-1922. doi: 10.1016/j.jenvman.2011.03.002 pmid: 21481524
[6]	Fu B J, Liu Y, Lu Y H, et al.Assessing the soil erosion control service of ecosystems change in the Loess Plateau of China. Ecological Complexity, 2011, 8: 284-293. doi: 10.1016/j.ecocom.2011.07.003
[7]	Zhu T X. Gully and tunnel erosion in the hilly Loess Plateau region,China .Geomorphology, 2012, 153/154: 144-155. doi: 10.1016/j.geomorph.2012.02.019
[8]	Wang S, Fu B J, Piao S L, et al.Reduced sediment transport in the Yellow River due to anthropogenic changes. Nature Geoscience, 2015, 9(1): 38-42. doi: 10.1038/ngeo2602
[9]	Guo Zhongsheng,Shao Ming'an. Soil water carrying capacity of vegetation and soil desiccation in artificial forestry and grassland in semi-arid regions of the Loess Plateau. Acta Ecologica Sinica, 2003, 23(8): 1640-1647.
	[郭忠升, 邵明安. 半干旱区人工林草地土壤旱化与土壤水分植被承载力. 生态学报, 2003, 23(8): 1640-1647.]
[10]	Wang Yanping,Shao Ming'an. Vegetation soil water carrying capacity of artificial pasture in loess region in northern Shaanxi, China. Transactions of the Chinese Society of Agricultural Engineering, 2012, 28(18): 134-141. doi: 10.3969/j.issn.1002-6819.2012.18.020
	[王延平, 邵明安. 陕北黄土丘陵沟壑区人工草地的土壤水分植被承载力. 农业工程学报, 2012, 28(18): 134-141.] doi: 10.3969/j.issn.1002-6819.2012.18.020
[11]	Wang Yanping,Shao Ming'an. Soil water carrying capacity of an apricot forest on loess region in northern Shaanxi.Scientia Silvae Sinicae, 2009, 45(12):1-7. doi: 10.11707/j.1001-7488.20091201
	[王延平, 邵明安. 陕北黄土丘陵沟壑区杏林地土壤水分植被承载力. 林业科学, 2009, 45(12): 1-7.] doi: 10.11707/j.1001-7488.20091201
[12]	Liu Bingxia.Experimental study of soil water spatial-temproal distribution and soil water carrying capacity for vegetation of typical shrub and grass on the northern Loess Plateau.[D].Yangling: Institute of Soil and Water Conservation of Chinese Academy of Sciences, 2015.
	[刘丙霞. 黄土区典型灌草植被土壤水分时空分布及其植被承载力研究[D]. 杨凌: 中国科学院研究生院, 2015.
[13]	Ayanu Y Z, Conrad C, Nauss T, et al.Quantifying and mapping ecosystem services supplies and demands: A review of remote sensing applications. Environmental Science & Technology, 2012, 46(16): 8529-8541. doi: 10.1021/es300157u pmid: 22816512
[14]	Fu B H, Burgher I.Riparian vegetation NDVI dynamics and its relationship with climate, surface water and groundwater. Journal of Arid Environments, 2015, 113: 59-68. doi: 10.1016/j.jaridenv.2014.09.010
[15]	Costantini M L, Zaccarelli N, Mandrone S, et al.NDVI spatial pattern and the potential fragility of mixed forested areas in volcanic lake watershed. Forest Ecology & Management, 2012, 285(12): 133-141. doi: 10.1016/j.foreco.2012.08.029
[16]	Hou X H, Gao S, Niu Z, et al.Extracting grassland vegetation phenology in North China based on cumulative SPOT-VEGETATION NDVI data. International Journal of Remote Sensing, 2014, 35(9): 3316-3330. doi: 10.1080/01431161.2014.903437
[17]	Jiang W G, Yuan L H, Wang W J, et al.Spatio-temporal analysis of vegetation variation in the Yellow River Basin. Ecological Indicators, 2015, 51: 117-126. doi: 10.1016/j.ecolind.2014.07.031
[18]	Verhegghen A, Bontemps S, Defourny P.A global NDVI and EVI reference data set for land-surface phenology using 13 years of daily SPOT-VEGETATION observations. International Journal of Remote Sensing, 2014, 35(7): 2440-2471. doi: 10.1080/01431161.2014.883105
[19]	Liu J Y, Kuang W H, Zhang Z X, et al.Spatiotemporal characteristics, patterns, and causes of land-use changes in China since the late 1980s. Journal of Geographical Sciences, 2014, 24(2): 195-210. doi: 10.1007/s11442-014-1082-6
[20]	Sarkar S, Kafatos M.Interannual variability of vegetation over the Indian sub-continent and its relation to the different meteorological parameters. Remote Sensing of Environment, 2004, 90: 268-280.
[21]	Song Y, Ma M G, Veroustraete Frank.Comparison and conversion of AVHRR GIMMS and SPOT VEGETATION NDVI data in China. International Journal of Remote Sensing, 2010, 31(9): 2377-2392. doi: 10.1080/01431160903002409
[22]	Rao A R, Bhattacharya D.Comparison of Hurst exponent estimates in hydrometeorological time series. Journal of Hydrologic Engineering, 2014, 4(3): 225-231.
[23]	Zhang B Q, Wu P T, Zhao X N, et al.Assessing the spatial and temporal variation of the rainwater harvesting potential (1971-2010) on the Chinese Loess Plateau using the VIC model. Hydrological Processes, 2014, 28(3): 534-544. doi: 10.1002/hyp.9608
[24]	Wang J P, Huang Z L, Liu Y, et al.Quantitative analysis of the relationship between watershed topography and erosion-sediment processes: A case study of Hekou-Longmen section in middle Yellow River. Geographical Research, 2013, 32(2): 274-284. doi: 10.11821/yj2013020008
	[王计平, 黄志霖, 刘洋, 等. 地貌格局与流域侵蚀产沙过程关系定量分析: 以黄河中游河龙区间为例. 地理研究, 2013, 32(2): 275-284.] doi: 10.11821/yj2013020008
[25]	Feng X M, Fu B J, Piao S L, et al.Revegetation in China's Loess Plateau is approaching sustainable water resource limits. Nature Climate Change, 2016. doi: 10.1038/nclimate3092. doi: 10.1038/nclimate3092
[26]	Wang Y Q, Shao M A, Liu Z P.Large-scale spatial variability of dried soil layers and related factors across the entire Loess Plateau of China. Geoderma, 2010, 159(1/2): 99-108. doi: 10.1016/j.geoderma.2010.07.001

措施	<375 mm	375~450 mm	450~575 mm	>575 mm	黄土高原
造林	66.88	73.60	76.92	75.41	73.58
种草	18.16	17.09	12.63	4.21	13.96
封禁	14.96	9.31	10.45	20.38	12.46
合计	100.00	100.00	100.00	100.00	100.00

黄土高原植被恢复潜力研究

Evaluating the potential of vegetation restoration in the Loess Plateau

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