RESOURCES AND ENVIRONMENT IN THE YANGTZE BASIN >> 2021, Vol. 30 >> Issue (7): 1638-1648.doi: 10.11870/cjlyzyyhj202107011

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Spatial-temporal Characteristics of Vegetation Coverage and its Response to Climate from 2000 to 2015 in Jinsha River Basin, China

ZHANG Gu-ping1, CHEN Guo-min2, SHAO Huai-yong3,XIAN Wei4   

  1. (1. Southwest Jiaotong University Hope College, Chengdu 610400, China; 2. Chengdu Municipal Bureau of Planning and Natural Resources, Chengdu 610041, China; 3. College of Earth Science, Chengdu University of Technology, Chengdu 610059, China; 4. College of Resources and Environment, Chengdu University of Information Technology, Chengdu 610225, China)
  • Online:2021-07-20 Published:2021-08-03

Abstract: Vegetation coverage is one of the main indicators of ecosystem change. Improving the spatiotemporal scales of vegetation observations and the methods of dynamic changes of vegetation and their driving factors can provide more information about vegetation changes, and better understand the characteristics and changes of the ecological environment in the region. The purpose of this study is to evaluate spatial-temporal changes of vegetation coverage and its driving factors in Jinsha River Basin (JRB) from 2000 to 2015, China. The evaluation will be performed using the enhanced vegetation index (EVI) of moderate resolution imaging spectroradiometer (MODIS), Sen and Mann-Kendall model, partial correlation analysis and grey correlation analysis (GRA) method. The Spatiotemporal variation of vegetation coverage were examined by using Sen and Mann-Kendall model, partial correlation analysis and GRA method were applicated to evaluate the driving factors of vegetation coverage change and its time lag to climate at pixel, ecological zone scale in JRB for growing season. The characterization and spatial distribution of the response period of vegetation coverage to climatic factors were performed through the GRA method. The results indicated that, vegetation coverage of the study area generally increased in the past 16 years, with a tendency being 0.011/decade. The areas with vegetation coverage showed improvement and degradation accounted for 55.53% and 28.95% of the total study area, respectively. The air temperature driving zoon (32.627%) was more than the precipitation driving zoon (28.265%). Vegetation coverage change was mainly affected by precipitation in semi-arid areas, while it was mainly affected by temperature in semi-humid and humid areas, but the correlation between climatic factors and vegetation was affected by topography and vegetation types. The time lag analysis indicated that the response of vegetation coverage to climate was not significant in semi-arid areas and the response of vegetation coverage to temperature was slower than cumulative precipitation in most semi-humid and humid areas, and response time of vegetation to climatic factors varied with altitude and vegetation types.

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