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[1]SU Junlei,LUO Weiqun,WANG Guangzhe,et al.Spatiotemporal Variation of Vegetation and Its Influencing Factors in Xijiang River Basin of Guangxi Based on MODIS-EVI[J].Research of Soil and Water Conservation,2019,26(03):232-238.

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Spatiotemporal Variation of Vegetation and Its Influencing Factors in Xijiang River Basin of Guangxi Based on MODIS-EVI

Research of Soil and Water Conservation[ISSN 1005-3409/CN 61-1272/P] Volume: 26 Number of periods: 2019 03 Page number: 232-238 Column: Public date: 2019-04-12

Title:: Spatiotemporal Variation of Vegetation and Its Influencing Factors in Xijiang River Basin of Guangxi Based on MODIS-EVI

Author(s):: SU Junlei^1,2, LUO Weiqun^1,3, WANG Guangzhe¹, YANG Qiyong¹, ZHOU Yonghua^1,3, HUANG Jing^1,3, JIANG Zhongcheng¹; 1. Institute of Karst Geology, CAGS/Key Laboratory of Karst Ecosystem and Treatment of Rocky Desertification, MNR, Guilin, Guangxi 541004, China;
2. China University of Geosciences Based in Beijing, Beijing 100083, China;
3. Guangxi Teachers Education University, Nanning, 530001, China

Keywords:: MODIS-EVI; vegetation; spatiotemporal changes; Xijing River Basin; Guangxi

CLC:: Q948;TP75

DOI:: -

Abstract:: Based on the MODIS-EVI data, the spatiotemporal variation of vegetation in Xijiang River Basin of Guangxi from 2007 to 2016 was analyzed and then its influencing factors were discussed. The results indicated that in recent decade, the monthly EVI in the study area periodically oscillated, and had the peak and nadir values from July to August and from January to February, respectively, which was clearly controlled by natural factors such as seasonal climate. The interannual variation of EVI was on the rise as a whole, and possibly related to a series of vegetation protection measures, but displayed two abrupt drops which might be affected by serious natural disasters in Southwest China. The variation trend of EVI in karst region and non-karst region was nearly consistent with that of the whole region. EVI of vegetation mainly ranging from 0.4 to 0.6 in the study area had obvious spatial differences. High EVI values (>0.4) mainly distributed in the high altitude areas with little anthropogenic damage where the measures of forest reservation and artificial afforestation were feasible. Conversely, low EVI values (≤ 0.4) were observed in the low altitude areas such as river system and urban center restricting the increase of vegetation coverage. In addition, EVI of vegetation showed a significant positive correlation with- and a one-month lag in response to both temperature and rainfall, and its correlation with temperature was higher than that with rainfall.

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