Spatiotemporal Variation of Vegetation Cover in the Pastoral Area in Northwestern China during the Period of 1981-2015

Expand
  • (State Key Laboratory of Grassland Agro-ecosystems, College of Pastoral Agriculture Science and Technology, Lanzhou University, Lanzhou 730020, Gansu, China)

Received date: 2017-08-25

  Revised date: 2017-12-13

  Online published: 2018-06-01

Abstract

he major parts of pastoral area in northwest China are generally the arid and semiarid regions, and the vegetation in this area is extremely sensitive to environmental change and susceptible to human activities. In recent years, the vegetation in the arid pastoral area is changed obviously, which is affected by the production of agriculture and animal husbandry and the ecological construction. Therefore, it is vital to further understand the vegetation variation in the pastoral area in northwest China, where the national ecological projects and planting structure adjustment of agriculture are implemented, and the theoretical supports are provided for the production of agriculture and animal husbandry and the ecological construction. In this study, the GIMMS 3g NDVI product with a spatial resolution of 8 km × 8 km during the period from 1981 to 2015 was used to reveal the spatiotemporal characteristics of vegetation change in the study area with the Theil-Sen Median trend analysis, Mann-Kendall test and Hurst index. The results showed that the typical vegetation in the arid pastoral area was changed significantly during the period from 1981 to 2015, and the improved area accounted for 41.9% of the total area. The improvement of vegetation was the most obvious from 2006 to 2015, and the improved area occupied 63.7% of the total. All the 11 vegetation types were in a regenerating trend, in which the largest share came from cultivated vegetation, the improved area occupied more than 80% of the total, and the improved areas of pasture and hassock were over 60%. In the past 35 years, the vegetation coverage in the arid pastoral area was tended to a sustainable and positive development, and the proportion of continuously regenerating area was higher than 70% of the total. During the period of 2006-2015, the regeneration and stability occurred in 63.8% of the total area. National ecological projects and planting structure adjustment of agriculture affect significantly the vegetation cover in the arid pastoral areas in northwest China. In the future, the vegetation coverage is supposed to be continuously restored.

Cite this article

MOU Le, LU Yi-xiao, YANG Hui-min, FENG Qi-sheng . Spatiotemporal Variation of Vegetation Cover in the Pastoral Area in Northwestern China during the Period of 1981-2015[J]. Arid Zone Research, 2018 , 35(3) : 615 -623 . DOI: 10.13866/j.azr.2018.03.14

References

[1] Sarkar S, Kafatos M. Interannual variability of vegetation over the Indian sub-continent and its relation to the different meteorological parameters[J]. Remote Sensing of Environment,2004, 90: 268-280.
[2] 张钛仁,张佳华,申彦波,等. 1981—2001年西北地区植被变化特征分析[J]. 中国农业气象. 2010, 31(3): 586-590. [Zhang Tairen, Zhang Guihua, Shen Yanbo, et al. Analysis of vegetation variation and its effect factors in Northwestern China during 1981-2001[J]. Chinese Journal of Agorometeorology, 2010, 31(3): 586-590.]
[3] Nemani R M C K. Increased plant growth in the northern latitudes 1981-1991[J]. Nature,1997(386): 698-702.
[4] 李飞,曾源,李晓松,等. 近30年中国陆地植被活动遥感监测[J]. 中国科学:地球科学. 2014(8): 1 671-1 678. [Li Fei, Zeng Yuan, Li Xiaosong, et al. Remote sensing monitoring of terrestrial vegetation in China in recent 30 years[J]. Science China Earth Sciences, 2014(8): 1 671-1 678.]
[5] 杨雪梅,杨太保,刘海猛,等. 气候变暖背景下近30 a北半球植被变化研究综述[J]. 干旱区研究, 2016, 33(2):379-391. [Yang Xuemei, Yang Taibao, Liu Haimeng, et al. Vegetation variation in the North hemisphere under climate warming in the last 30 years[J]. Arid Zone Research, 2016, 33(2): 379-391.]
[6] 马明国,董立新,王雪梅. 过去21 a中国西北植被覆盖动态监测与模拟[J]. 冰川冻土,2003, 25(2): 232-236. [Ma Mingguo, Dong Lixin, Wang Xuemei. Study on the dynamically monitoring and simulating the vegetation cover in Northwest China in the past 21 years[J]. Journal of Glaciology and Geocryology, 2003, 25(2): 232-236.]
[7] 李秀花,师庆东,常顺利,等. 中国西北干旱区1981-2001年NDVI对气候变化的响应分析[J]. 中国沙漠,2009, 29(5): 989-994. [Li Xiuhua, Shi Qingdong, Chang Shunli, et al. Response of NDVI to climate variability in arid area of Northwestern China from 1981 to 2001[J]. Journal of Desert Research, 2009, 29(5): 989-994.]
[8] 刘雪梅,高小红,马元仓. 2002—2015年青海省不同气候区植被覆盖时空变化[J].干旱区研究. 2017, 34(6):1 345-1 352. [Liu Xuemei, Gao Xiaohong, Ma Yuancang. Spatio-temporal evolution of vegetation coverage in Qinghai Province, China during the periods from 2002 to 2015[J]. Arid Zone Research, 2017, 34(6): 1 345-1 352.]
[9] Xu X K, C H, Z F. Temporal and spatial change of vegetation cover in the Northwest of China and factors analysis influencing on vegetations variation[J]. Environmental Science,2007, 28: 41-47.
[10] 韩辉邦,马明国,马守存,等. 近30 a青海省植被变化及其气候驱动因子分析[J]. 干旱区研究,2017,34(5): 1 164-1 174. [Han Huibang, Ma Mingguo, Ma Shoucun, et al. Vegetation change and its driving climatic factors in Qinghai province in recent 30 years[J] Arid Zone Research, 2017, 34(5): 1 164-1 174.]
[11] P S, J F. Dynamic vegetation cover change over the last 18 years in China[J]. Quaternary Sciences,2001, 21(4): 294-302.
[12] Stow D, Daeschner S, Hope A, et al. Variability of the seasonally integrated normalized difference vegetation index across the North Slope of Alaska in the 1990s[J]. International Journal of Remote Sensing. 2003, 24(5): 1 111-1 117.
[13] Tucker C J, Newcomb W W, Los S O, et al. Mean and inter-year variation of growing-season normalized difference vegetation index for the Sahel 1981-1989[J]. International Journal of Remote Sensing. 1991, 12(6): 1 133-1 135.
[14] Milich L, Weiss E. GAC NDVI interannual coefficient of variation (CoV) images: Ground truth sampling of the Sahel along north-south transects[J]. International Journal of Remote Sensing,2000, 21(2): 235-260.
[15] Cai B F. Advance and evaluation in the long time series vegetation trends research based on remote sensing[J]. Journal of Remote Sensing, 2009, 6:1 170-1 186.
[16] Lunetta R S, Knight J F, Ediriwickrema J, et al. Land-cover change detection using multi-temporal MODIS NDVI data[J]. Remote Sensing of Environment,2006,105(2): 142-154.
[17] 袁丽华,蒋卫国,申文明,等. 2000—2010年黄河流域植被覆盖的时空变化[J]. 生态学报,2013,33(24): 7 798-7 806. [Yuan Lihua, Jiang Weiguo, Shen Wenming, et al. The spatio-temporal variations of vegetation cover in the Yellow River Basin from 2000 to 2010[J]. Acta Ecologica Sinica, 2013, 33(24): 7 798-7 806.]
[18] 蔡博峰,于嵘. 基于遥感的植被长时序趋势特征研究进展及评价[J]. 遥感学报, 2009, (6):1 170-1 117. [Cai Bofeng, Yu Rong. Advance and evaluation in the long time series vegetation trends research based on remote sensing[J].Journal of Remote Sensing, 2009, (6):1 170-1 117.]
[19] Hoaglin D C, Mosteller F, Tukey J W. Understanding robust and exploratory data analysis[M]. New York :Wiley,2000.
[20] Toši? I. Spatial and temporal variability of winter and summer precipitation over Serbia and Montenegro[J]. Theoretical and Applied Climatology,2004, 77(1): 47-56.
[21] Kendall M G. Rank correlation methods[M]. England: Hafner. Oxford, 1955.
[22] 侯西勇,应兰兰,高猛,等. 1998—2008年中国东部沿海植被覆盖变化特征[J]. 地理科学. 2010, 16(5): 735-741. [Hou Xiyong, Ying Lanlan, Gao Meng, et al. Character of vegetation cover change in China’s eastern coastal areas 1998-2008[J]. Scientia Geographica Sinica, 2010, 16(5): 735-741.]
[23] 王桂钢,周可法,孙莉,等. 近10a新疆地区植被动态与R/S分析[J]. 遥感技术与应用, 2010, 25(1): 84-90. [Wang Guigang, Zhou Kefa, Sun Li, et al. Study on the Vegetation Dynamic Change and R/S Analysis in the Past Ten Years in Xinjiang[J]. Remote Sensing Technology and Application, 2010, 25(1): 84-90.]
[24] 陈云浩,李晓兵,史培军. 1983—1992年中国陆地NDVI变化的气候因子驱动分析[J]. 植物生态学报,2001, 25(6): 716-720. [Chen Yunhao, Li Xiaobing, Shi Peijun. Variation in NDVI driven by climate factors across China, 1983-1992[J]. Acta Phytoecologica Sinica, 2001, 25(6): 716-720.]
[25] 李晓兵,史培军. 中国典型植被类型NDVI动态变化与气湿,降水变化的敏感性分析[J]. 植物生态学报,2000, 24(3): 379-382. [Li Xiaobing, Shi Peijun. Sensitivity analysis of variation in NDVI, temperature and precipitation in typical vegetation types across China[J]. Acta Phytoecologica Sinica, 2000, 24(3): 379-382.]
[26] 邓朝平,郭铌,王介民,等. 近20余年来西北地区植被变化特征分析[J]. 冰川冻土,2006, 28(5): 686-693. [Deng Chaoping, Guo Ni, Wang Jiemin, et al. Vegetation cover variation in Northwest China during the past 22 years[J]. Journal of Glaciology and Geocryology, 2006, 28(5): 686-693.]
[27] 郭铌,朱燕君,王介民,等. 近22年来西北不同类型植被NDVI变化与气候因子的关系[J]. 植物生态学报,2008, 32(2): 319-327. [Guo Ni, Zhu Yanjun, Wang Jiemin, et al. The relationship between NDVI and climate elements for 22years in different vegetation areas of Northwest China[J]. Journal of Plant Ecology, 2008, 32(2): 319-327.]
[28] 黄小燕,李耀辉,冯建英,等. 中国西北地区降水量及极端干旱气候变化特征[J]. 生态学报,2015, 35(5): 1 359-1 370. [Huang Xiaoyan, Li Yaohui, Feng Jianying, et al. Climate characteristics of precipitation and extreme drought events in Northwest China[J]. Acta Ecologica Sinica, 2015, 35( 5) : 1 359-1 370.]
[29] 李新一,王加亭,韩天虎,等. 我国饲草料生产形势及对策分析[J].草业科学, 2015, 32(12) : 2 155-2 166. [Li Xinyi, Wang Jiating, Han Tianhu, et al. China’s fodder production situation and countermeasure analysis[J]. Pratacultural Science, 2015, 32(12) : 2 155-2 166.]
[30] 侯向阳. 西部半干旱地区应大力发展旱作栽培草地[J].草业科学, 2017, 34 (1):161-164. [Hou Xiangyang. Semiarid area should develop dry farming grasslangs[J]. Pratacultural Science, 2017, 34 (1):161-164.]
[31] 李旭谱,张福平,胡猛,等. 基于SPOT NDVI的植被覆盖时空演变规律分析以:西北五省为例[J]. 干旱地区农业研究, 2012, 35(5): 180-184. [Li Xupu, Zhang Fuping, Hu Meng, et. al. Analysis of the regulation of spatial-temporal variation of the vegetation coverage based on SPOT NDVI Data:A Case Study in Northwest China[J]. Agricultural Research in the Arid Areas, 2012, 35(5): 180-184.]
[32] 李奇虎,陈亚宁. 1981—2006 年西北干旱区NDVI时空分布变化对水热条件的响应[J].冰川冻土, 2014, 36( 2) : 327-334. [Li Qihu,Chen Yaning. Response of spatial and temporal distribution of NDVI to hydrothermal condition variation in arid regions of Northwest China during 1981-2006[J]. Journal of Glaciology and Geocryology, 2014, 36( 2): 327-334.]
[33] 韦振锋,王德光,张翀,等. 1999—2010年中国西北地区植被覆盖对气候变化和人类活动的响应[J]. 中国沙漠. 2014, 34(6): 1 665-1 670. [Wei Zhenfeng, Wang Deguang, Zhang Chong, et al. Respons of vegetation cover to climate change and human activities in Northwest China during 1999-2010[J]. Journal of Desert Research, 2014, 34(6): 1 665-1 670.]
[34] 邱海军,曹明明.基于SPOT VEGETATION数据的中国植被覆盖时空变化分析[J]. 资源科学,2011, 33(2): 335-340. [Qiu Haijun, Cao Mingming. Spatial and temporal variations in vegetation cover in China based on SPOT vegetation data[J]. Resources Science, 2011, 33(2): 335-340.]
[35] 孙红雨,王长耀,牛铮,等. 中国地表植被覆盖变化及其与气候因子关系:基于NOAA时间序列数据分析[J]. 遥感学报, 1998, 2(3):204-210. [Sun Hongyu, Wang Changyao, Niu Zheng, et. al. Analysis of the vegetation cover change and the relationship between NDVI and environmental by using NOAA time series data[J].Journal of Remote Sensing, 1998, 2(3):204-210.]
[36] Farrar T J, Nicholson S E, Lare A R. The influence of soil type on the relationships between NDVI, rainfall, and soil moisture in semiarid Botswana. II. NDVI response to soil moisture.[J]. Remote Sensing of Environment, 1994, 50(2):121-133.
Outlines

/