Spatiotemporal Variation of Vegetation NDVI and its Driving Forces in Inner Mongolia Based on Geodetector
ZHANG Si-yuan1, NIE Ying2, ZHANG Hai-yan3, LI Yong-li1, HAN Yan-dong1, LIU Xiao-huang4, WANG Bing5
1. Hohhot Center for Integrated Natural Resources Survey, China Geological Survey, Hohhot, Inner Mongolia 010010, China; 2. Institute of Agricultural Information and Economics Beijing Academy of Agriculture and Forestry Sciences, Beijing 100097, China; 3. Institute of Geographical Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China; 4. Command Center for Integrated Natural Resources Survey, China Geological Survey, Beijing 100055, China; 5. Yantai Geological Survey Center of Coastal Zone, China Geological Survey, Yantai, Shandong Province 264004, China
Abstract：The study of spatiotemporal variation and driving forces of NDVI (Normalized Difference Vegetation Index) is conducive to regional ecological environment protection and natural resource management. Based on SPOT NDVI remote sensing data from 2000 to 2015 and 18 types of natural and socio-economic factors in the same period,the spatiotemporal variation characteristics of vegetation NDVI in Inner Mongolia were analyzed. Furthermore,based on the Geodetector model,we explored the spatial stratified heterogeneity and driving forces. On the spatial scale,the vegetation coverage of the whole region was characterized by high in the east and low in the west,and the region of variation was increasing in the east and decreasing in the middle and west. On the time scale,the annual NDVI showed a slow increasing trend in 16 years,with a growth rate of 0.32%·a-1. The vegetation coverage increased in both the dense grade (8.6%) and the sparse grade (2.8%),showing the feature of polarization. Annual precipitation that was the factor with the highest explanatory power (0.75),together with soil type,vegetation type and annual mean temperature,controlled the spatial pattern of vegetation NDVI. The interaction of factors showed mutual or nonlinear enhancement,and the explanatory power of interaction between human factors and natural factors was significantly enhanced. During the study period,the explanatory power of climatic factors was weakened,while the statistical factors of agriculture,forestry and animal husbandry were slightly enhanced. Here we studied the differences in explanatory power of different land use types and the optimal characteristic of each factor,which would provide scientific basis for the driving mechanism of vegetation growth.
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ZHANG Si-yuan, NIE Ying, ZHANG Hai-yan, LI Yong-li, HAN Yan-dong, LIU Xiao-huang, WANG Bing. Spatiotemporal Variation of Vegetation NDVI and its Driving Forces in Inner Mongolia Based on Geodetector. Acta Agrestia Sinica, 2020, 28(5): 1460-1472.
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2020, Vol. 28 
