NDVI,时空变化,复直线回归,气候因子,人类活动,乌兰察布市 ," /> NDVI,时空变化,复直线回归,气候因子,人类活动,乌兰察布市 ,"/> NDVI,spatiotemporal variation,complex linear regression,climatic factor,human activity,Ulanqab City ,"/> <p class="MsoNormal"> <b>Spatiotemporal Variation of NDVI and Its Affecting Factors in Ulanqab City in Growing Season from 2000 to 2015</b>

Arid Zone Research ›› 2019, Vol. 36 ›› Issue (5): 1238-1249.doi: 10.13866/j.azr.2019.05.22

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Spatiotemporal Variation of NDVI and Its Affecting Factors in Ulanqab City in Growing Season from 2000 to 2015

LI Jian-fei, LI Xiao-bing, ZHOU Yi   

  1. College of Geographical Sciences, Shanxi Normal University, Linfen 014000,China
  • Received:2018-11-29 Revised:2019-01-24 Online:2019-09-15 Published:2019-09-11

Abstract:

In this paper, the spatiotemporal change of the Normalized Difference Vegetation Index (NDVI) and its affecting factors in Ulanchab City in recent 16 years were analyzed. The study was based on the monthly synthetic product data of MODIS China 500M NDVI from 2000 to 2015 and the precipitation and temperature data in the same period. The trend line analysis, differential method, complex linear regression analysis and residual method were used. The results showed that:   The vegetation NDVI in Ulanqab City varied in a range of 0.354-0.555 during the period of 2000-2015, and the overall trend fluctuated and its spatial distribution was obvious. It was high in the southeast but low in the northwest;    The vegetation types in Ulanqab City were in a trend of improvement → degeneration → improvement during the periods of 2000-2004, 2005-2009 and 2010-2015, and the degenerated vegetation was regenerated slowly;    Vegetation growth in Ulanqab City was affected by both precipitation and temperature. There was a significantly positive correlation between the NDVI and the annual precipitation (r = 0.730, P = 0.001), which passed the significance test at 0.01 level, but a negative one between the NDVI and the temperature (r=-0.351, P=0.182), and the correlation between the two climatic factors was not significant. Without considering the influence of human activities, the contribution of precipitation and temperature to vegetation NDVI was gradually increased from 0.213 to 0.805 from the northwest to the southeast;    The areas where human activities played a role in reducing vegetation index and increasing it accounted for 55.92% and 44.08% of the total study area respectively.

Key words: NDVI')">

NDVI, spatiotemporal variation, complex linear regression, climatic factor, human activity, Ulanqab City