Skip to main content
Log in

Response of vegetation restoration to climate change and human activities in Shaanxi-Gansu-Ningxia Region

  • Published:
Journal of Geographical Sciences Aims and scope Submit manuscript

Abstract

The “Grain for Green Project” initiated by the governments since 1999 were the dominant contributors to the vegetation restoration in the agro-pastoral transitional zone of northern China. Climate change and human activities are responsible for the improvement and degradation to a certain degree. In order to monitor the vegetation variations and clarify the causes of rehabilitation in the Shaanxi-Gansu-Ningxia Region, this paper, based on the MODIS-NDVI and climate data during the period of 2000–2009, analyzes the main characteristics, spatial-temporal distribution and reasons of vegetation restoration, using methods of linear regression, the Hurst Exponent, standard deviation and other methods. Results are shown as follows. (1) From 2000 to 2009, the NDVI of the study area was improved progressively, with a linear tendency being 0.032/10a, faster than the growth of the Three-North Shelter Forest Program (0.007/10a) from 1982 to 2006. (2) The vegetation restoration is characterized by two fast-growing periods, with an “S-shaped” increasing curve. (3) The largest proportion of the contribution to vegetation restoration was observed in the slightly improved area, followed by the moderate and the significantly improved area; the degraded area is distributed sporadically over southern part of Ningxia Hui Autonomous Region as well as eastern Dingbian of Shaanxi province, Huanxian and Zhengyuan of Gansu province. (4) Climate change and human activities are two driving forces in vegetation restoration; moreover anthropogenic factors such as “Grain for Green Project” were the main causes leading to an increasing trend of NDVI on local scale. However, its influencing mechanism remains to be further investigated. (5) The Hurst Exponent of NDVI time series shows that the vegetation restoration was sustainable. It is expected that improvement in vegetation cover will expand to the most parts of the region.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

References

  • Brian D Wardlow, Stephen L Egbert, 2008. Large-area crop mapping using time-series MODIS 250 m NDVI data: An assessment for the U.S. Central Great Plains. Remote Sensing of Environment, 112(3): 1096–1116.

    Article  Google Scholar 

  • Carlson T N, Ripley D A, 1997. On the relation between NDVI, fractional vegetation cover, and leaf area index. Remote Sensing of Environment, 62(3): 241–252.

    Article  Google Scholar 

  • Chen Xiaoqiu, Wang Heng, 2009. Spatial and temporal variations of vegetation belts and vegetation cover degrees in Inner Mongolia from 1982 to 2003. Acta Geographica Sinica, 64(1): 84–94. (in Chinese)

    Google Scholar 

  • Cui Linli, Shi Jun, Yang Yinming et al., 2009. Ten-day response of vegetation NDVI to the variations of temperature and precipitation in eastern China. Acta Geographica Sinica, 64(7): 850–860. (in Chinese)

    Google Scholar 

  • E Youhao, Shi Qian, Ma Yu ping et al., 2011. The impacts of future climatic change on agricultures and eco-environment of Loess Plateau in next decade. Acta Ecologica Sinica, 31(19): 5542–5552. (in Chinese)

    Google Scholar 

  • Feng Yongzhong, Liu Zhichao, Liu Qiang et al., 2011. Temporal and spatial characteristics of dry climate in rain-fed farming area of the Loess Plateau. Agricultural Research in the Arid Areas, 29(2): 218–223. (in Chinese)

    Google Scholar 

  • Fu Bojie, Liu Yu, Lu Yihe et al., 2011. Assessing the soil erosion control service of ecosystems change in the Loess Plateau of China. Ecological Complexity, 8(4): 284–293.

    Article  Google Scholar 

  • Fu Bojie, Wang Yafeng, Lu Yihe et al., 2009. The effects of land-use combinations on soil erosion: A case study in the Loess Plateau of China. Progress in Physical Geography, 33(6): 793–804.

    Article  Google Scholar 

  • Gu Juan, Li Xin, Huang Chunlin, Gregory S et al., 2009. A simplified data assimilation method for reconstructing time-series MODIS NDVI data. Advances in Space Research, 44(4): 501–509.

    Article  Google Scholar 

  • Holben B, 1986. Characteristics of maximum value composite images from temporal AVHRR data. International Journal of Remote Sensing, 7(11): 1417–1437.

    Article  Google Scholar 

  • Hope A, Boynton W, Stow D et al., 2003. Inter-annual growth dynamics of vegetation in the Kuparuk River watershed based on the normalized difference vegetation index. International Journal of Remote Sensing, 24(17): 3413–3425.

    Article  Google Scholar 

  • Hurst H, 1951. Long term storage capacity of reservoirs. Transactions of the American Society of Civil Engineers 6: 770–799.

    Google Scholar 

  • Li Xia, Li Xiaobing, Chen Yunhao et al., 2007. Temporal responses of vegetation to climate variables in temperate steppe of northern China. Acta Phytoecologica Sinica, 31(6): 1054–1062. (in Chinese)

    Google Scholar 

  • Li, Y Y, Shao M A, 2006. Change of soil physical properties under long-term natural vegetation restoration in the Loess Plateau of China. Journal of Arid Environment, 64(1): 77–96.

    Article  Google Scholar 

  • Mandelbrot B, Wallis J R, 1969. Robustness of the rescaled range R/S in the measurement of non-cyclic long-run statistical dependence. Water Resources Research, 5: 967–988.

    Article  Google Scholar 

  • Mang Mingguo, Wang Jian, Wang Xuemei, 2006. Advance in the inter-annual variability of vegetation and its relation to climate based on remote sensing. Journal of Remote Sensing, 10(3): 421–431. (in Chinese)

    Google Scholar 

  • Myneni R B, Keeling C D, Tucker C J et al., 1997. Increased plant growth in the northern high latitudes from 1981 to 1991. Nature, 386(6626): 698–702.

    Article  Google Scholar 

  • Park H-S, Sohn B J, 2010. Recent trends in changes of vegetation over East Asia coupled with temperature and rainfall variations. Journal of Geophysical Research, 115(14): 101–125.

    Article  Google Scholar 

  • Parmeasn C, Yohe G, 2003. A globally coherent fingerprint of climate change impacts across natural systems. Nature, 421(6918): 37–42.

    Article  Google Scholar 

  • Peng Jian, Liu Zhenhuan, Liu Yinghui et al., 2012. Trend analysis of vegetation dynamics in Qinghai-Tibet Pla teau using Hurst Exponent. Ecological Indicators, 14(1): 28–39.

    Article  Google Scholar 

  • Piao S L, Fang J Y, 2003. Seasonal changes in vegetation activity in response to climate changes in China between 1982 and 1999. Acta Geographica Sinica, 58(1): 119–125. (in Chinese)

    Google Scholar 

  • Prince S D, 1991. A model of regional primary production for use with coarse resolution satellite data. International Journal of Remote Sensing, 12(6): 1313–1330.

    Article  Google Scholar 

  • Sánche, Z, Trinidad, J E, García P J, 2008. Some comments on Hurst exponent and the long memory processes on capital markets. Physica A, 387(22): 5543–5551.

    Article  Google Scholar 

  • Song Fuqiang, Xing Kaixiong, Liu Yang et al., 2011. Monitoring and assessment of vegetation variation in northern Shaanxi based on MODIS/NDVI. Acta Ecologica Sinica, 31(2): 354–363. (in Chinese)

    Google Scholar 

  • Song Yi, Ma Mingguo, 2007. Study on vegetation cover change in northwest china based on spot vegetation data. Journal of Desert Research, 27(1): 89–93. (in Chinese)

    Google Scholar 

  • State Forestry Administration (SFA), 2011. The Fourth Communique of Desertification and Sandy Desertification in China. (in Chinese)

  • Stokes A, Sotir R, Chen W et al., 2010. Soil bio- and eco-engineering in China: Past experience and future priorities. Ecological Engineering, 36(3): 247–257.

    Article  Google Scholar 

  • Stow D, Daeschner S, Hope A et al., 2003. Variability of the seasonally integrated normalized difference vegetation index across the north slope of Alaska in the 1990s. International Journal of Remote Sensing, 24(5): 1111–1117.

    Article  Google Scholar 

  • Tucker, C J, 1979. Red and photographic infrared linear combinations for monitoring vegetation. Remote Sensing of Environment, 8: 127–150.

    Article  Google Scholar 

  • Tucker C J, Slayback D A, Pinzon J E et al., 2001. Higher northern latitude normalized difference vegetation index and growing season trends from 1982 to 1999. International Journal of Biometeorology, 45(4): 184–190.

    Article  Google Scholar 

  • Wang Qiang, Zhang Bo, Dai Shengpei et al., 2011. Dynamic changes in vegetation coverage in the Three-North Shelter Forest Program based on GIMMS AVHRRNDVI. Resources Science, 33(8): 1613–1620. (in Chinese)

    Google Scholar 

  • Wang Tao, Chen Guangting, Zhao Halin et al., 2006. Research progress on aeolian desertification process and controlling in north of China. Journal of Desert Research, 26(4): 507–516. (in Chinese)

    Google Scholar 

  • Wang Tao, Song Xiang, Yan Changzhen et al., 2011. Remote sensing analysis on Aeolian desertification trends in northern China during 1975-2010. Journal of Desert Research, 31(6): 1351–1356. (in Chinese)

    Google Scholar 

  • Wang Tao, Wu Eei, Xue Xian et al., 2004. Spatial-temporal changes of sandy desertified land during last 5 decades in northern china. Acta Geographica Sinica, 59(2): 203–212. (in Chinese)

    Google Scholar 

  • Xin Zhongbao, Xu Jiongxin, Zheng Wei, 2007. Response of vegetation cover change to climate change and human activities in Loess Plateau. Science in China (Series D), 37(11): 1504–1514. (in Chinese)

    Google Scholar 

  • Xu Duanyang, Li Chunlei, Zhuang Dafang et al., 2011. Assessment of the relative role of climate change and human activities in desertification: A review. Acta Geographica Sinica, 66(1): 68–76. (in Chinese)

    Google Scholar 

  • Xu Jianhua, 2002. Mathematical Methods in Contemporary Geography. Beijing: Higher Education Press. (in Chinese)

    Google Scholar 

  • Yan Junhui, Liu Dongmei, Yan Junping, 2009. The spatial structure of climate change in Shaanxi-Gansu-Ningxia region. Journal of Arid Land Resources and Environment, 23(9): 67–71. (in Chinese)

    Google Scholar 

  • Yan Junping, Yan Yan, 2002. Design and operation channels of the ecological purchase in the Shaanxi-Gansu-Ningxia Border Area. Acta Geographica Sinica, 57(3): 343–345. (in Chinese)

    Google Scholar 

  • Zhang Chong, Ren Zhiyuan, 2011. Temporal and spatial differences and its trends in vegetation cover change over the Loess Plateau. Resources Science, 33(11): 2143–2149. (in Chinese)

    Google Scholar 

  • Zhang Geli, Xu Xingliang, Zhou Caiping et al., 2011. Responses of vegetation changes to climatic variations in Hulun Buir grassland in past 30 years. Acta Geographica Sinica, 66(1): 47–58.

    Google Scholar 

  • Zhang Xuezhen, Dai Junhu, Ge Quansheng, 2012. Spatial Differences of Changes in Spring Vegetation activities across Eastern China during 1982-2006. Acta Geographica Sinica, 67(1): 53–61. (in Chinese)

    Google Scholar 

  • Zhou Liming, Tucker C J, Kaufmann R K et al., 2001. Variations in northern vegetation activity inferred from satellite data of vegetation index during 1981 to 1999. Journal of Geophysical Research, 106(17): 69–83.

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Junping Yan.

Additional information

Foundation: National Natural Science Foundation of China, No.41171090; No.40871052

Author: Li Shuangshuang (1988–), Master, specialized in global change and disaster prevention.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Li, S., Yan, J., Liu, X. et al. Response of vegetation restoration to climate change and human activities in Shaanxi-Gansu-Ningxia Region. J. Geogr. Sci. 23, 98–112 (2013). https://doi.org/10.1007/s11442-013-0996-8

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11442-013-0996-8

Keywords

Navigation