Journal of Geographical Sciences ›› 2014, Vol. 24 ›› Issue (4): 593-611.doi: 10.1007/s11442-014-1108-0

• Research Articles • Previous Articles     Next Articles

Grassland coverage inter-annual variation and its coupling relation with hydrothermal factors in China during 1982-2010

Wei ZHOU1(), Chengcheng GANG1, Yizhao CHEN1, Shaojie MU1, Zhengguo SUN2, Jianlong LI1,*()   

  1. 1. School of Life Science, Nanjing University, Nanjing 210093, China
    2. College of Animal Sciences, Nanjing Agricultural University, Nanjing 210095, China
  • Received:2013-12-27 Accepted:2014-01-22 Online:2014-04-20 Published:2015-07-09
  • Contact: Jianlong LI E-mail:zhouw866@163.com;jianlongli@gmail.com;jlli2008@nju.edu.cn
  • About author:

    Author: Zhou Wei (1985-), PhD, specialized in application of remote sensing and terrestrial ecosystem carbon cycle. E-mail: zhouw866@163.com

  • Supported by:
    The National Natural Science Foundation of China, No.41271361.National Basic Research Program of China, No.2010CB950702.The APN Projects, No.ARCP2013-16NMY-Li.The Public Sector Linkages Program supported by AusAID, No.64828.China’s High-tech Special Projects, No.2007AA10Z231

Abstract:

GIMMS (Global Inventory Modeling and Mapping Studies) NDVI (Normalised Difference Vegetation Index) from 1982 to 2006 and MODIS (Moderate Resolution Imaging Spectroradiometer) NDVI from 2001 to 2010 were blended to extract the grass coverage and analyze its spatial pattern. The response of grass coverage to climatic variations at annual and monthly time scales was analyzed. Grass coverage distribution had increased from northwest to southeast across China. During 1982-2010, the mean nationwide grass coverage was 34% but exhibited apparent spatial heterogeneity, being the highest (61.4%) in slope grasslands and the lowest (17.1%) in desert grasslands. There was a slight increase of the grass coverage with a rate of 0.17% per year. Increase in slope grasslands coverage was as high as 0.27% per year, while in the plain grasslands and meadows the grass coverage increase was the lowest (being 0.11% per year and 0.1% per year, respectively). Across China, the grass coverage with extremely significant increase (P<0.01) and significant increase (P<0.05) accounted for 46.03% and 11% of the total grassland area, respectively, while those with extremely significant and significant decrease accounted for only 4.1% and 3.24%, respectively. At the annual time scale, there are no significant correlations between grass coverage and annual mean temperature and precipitation. However, the grass coverage was somewhat affected by temperature in alpine and sub-alpine grassland, alpine and sub-alpine meadow, slope grassland and meadow, while grass coverage in desert grassland and plain grassland was more affected by precipitation. At the monthly time-scale, there are significant correlations between grass coverage with both temperature and precipitation, indicating that the grass coverage is more affected by seasonal fluctuations of hydrothermal conditions. Additionally, there is one-month time lag-effect between grass coverage and climate factors for each grassland types.

Key words: grass coverage, climate factors, spatial-temporal dynamic, correlation, time lag effect