Quantitative influence of regional fractional vegetation cover based on geodetector model -Take the Beijing-Tianjin sand source region as an example
Meng Qi1, Wu Zhi-tao1, Du Zi-qiang1, Zhang Hong2
1. Institute of Loess Plateau, Shanxi University, Taiyuan 030006, China; 2. College of Environment & Resource Science of Shanxi University, Taiyuan 030006, China
Abstract:Fractional Vegetation Cover (FVC) is an important index to measure the excellence of ecological environment. In this study, the FVC in Beijing-Tianjin sand source region (BTSSR) was estimated from 2000 to 2018 based on MODIS NDVI data and Dimidiate Pixel model and its spatial-temporal variation characteristics were analyzed. Moreover, the effects of 12 influencing factors, including natural factors and human activities on FVC, were quantitatively analysed by using Geodetector model in the BTSSR. The results showed that, in recent 20 years, the FVC in the BTSSR showed an increasing trend with a rate of 8.2%. FVC increased in 73.7% of the study area, and the regions with the significant upward trends were mainly in the sub-areas of Northern Shanxi's Mountains, Yanshan Mountains, Southern Great Hinggan Mountains and the southern Horqin Sandy Land. From 2000 to 2018, precipitation and the count of large livestock at the end of the year were the main natural and human factors affecting the spatial distribution of FVC in BTSSR, with explanatory powers of 63.3% and 34.8%, respectively. The two-factor interaction between natural factors and human activities was dominated by double synergy and non-linear synergy, which indicated that the interaction between natural factors and human activities had a stronger impact on FVC than single factors. The interaction between precipitation and other 11factors played a leading role in FVC of the study area with the explanatory power of over 60%.
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Meng Qi, Wu Zhi-tao, Du Zi-qiang, Zhang Hong. Quantitative influence of regional fractional vegetation cover based on geodetector model -Take the Beijing-Tianjin sand source region as an example. CHINA ENVIRONMENTAL SCIENCECE, 2021, 41(2): 826-836.
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