[1]DANG Yuejun,WANG Lixiao,YAN Junxia.Spatiotemporal Dynamics of Vegetation and Its Response to Climatic Factors in Shanxi Province from 2003 to 2012[J].Research of Soil and Water Conservation,2015,22(02):235-240.
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Research of Soil and Water Conservation[ISSN 1005-3409/CN 61-1272/P] Volume:
22
Number of periods:
2015 02
Page number:
235-240
Column:
Public date:
2015-04-28
- Title:
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Spatiotemporal Dynamics of Vegetation and Its Response to Climatic Factors in Shanxi Province from 2003 to 2012
- Author(s):
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DANG Yuejun1, WANG Lixiao2, YAN Junxia2
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1. Shanxi Hydrographic and Water Resources Survey Bureau, Taiyuan 030001, China;
2. Institute of Loess Plateau, Shanxi University, Taiyuan 030006, China
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- Keywords:
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Shanxi Province; NDVI; climatic factors; correlation analysis
- CLC:
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Q141
- DOI:
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- Abstract:
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Based on the normalized difference vegetation index(NDVI) data from moderate resolution imaging spectroradiometer(MODIS), the daily temperature and precipitation data from 17 meteorological stations, and the land cover data in the period from 2003 to 2012, this paper analyzed spatiotemporal variation patterns of the vegetation and their correlations with climatic factors in recent ten years in Shanxi Province. The results showed that the vegetation index of months indicated a single peak; in recent decade, the vegetation index of Shanxi Province indicated moderate improvement in July and August; the vegetation index improved in all regions, the obvious improvement was observed in Linfen and Lvliang, the moderate improvement was found in Taiyuan, Xinzhou and Jinzhong, and the slight improvement was found in Shuozhou, Yuncheng, Changzhi and Yangquan; with respect to different land cover types, the vegetation index showed moderate improvement in shrub land and grassland, but slight improvement was found in woodland;the values of NDVI in the southern and eastern regions were high, but low values were observed in the northern and western regions,and the improvement of NDVI in the northwest was better than the southeast. There is a significant positive linear correlation between the monthly average NDVI and the monthly mean temperature in the province. A threshold value of precipitation affecting NDVI existed, and NDVI did not increase significantly. There is a weak correlation between the NDVI and the interannual change of temperature and precipitation; the effect of univariate correlation models of monthly average NDVI and the monthly mean temperature/precipitation is better than the composite variables correlation models.