Geo-detector based spatio-temporal variation characteristics and driving factors analysis of NDVI in Central Asia
Wei WANG1,2,3, Samat Alim1,3, Abuduwaili Jilili1,2,3()
1. State Key Laboratory of Desert and Oasis Ecology, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences,Urumqi 830011, China 2. University of Chinese Academy of Sciences, Beijing 100049, China 3. Research Center for Ecology and Environment of Central Asia, Chinese Academy of Science, Urumqi 830011, China
Vegetation is an important nexus connecting atmosphere, pedosphere, hydrosphere and biosphere. Therefore, the relationship between the temporal and spatial variation characteristics of vegetation and its driving factors is of great significance in the study of regional ecological environment changes. Based on multiple data sets such as GIMMS NDVI and CRU, the authors analyzed the temporal and spatial variation characteristics of NDVI in Central Asia from 1991 to 2015, using trend analysis and geo-detector model that included factor detection, risk detection and interaction analysis. The results show that the vegetation activities in Central Asia have remained stable and volatile on the whole in the past 25 years. In detail, NDVI in the middle and low altitude areas of the Kazakh hills has increased significantly, while the NDVI in the southwestern part of Aral Sea has been significantly reduced because of the close diffusion of salt dust in the Aral Sea basin. In addition, because of the contradiction between water resources development and utilization among Central Asian countries, the trend of NDVI in the midstream of the Syr Darya and the downstream has been reversed. The non-irrigated farmland in northern Kazakhstan has a large decline in NDVI, and the results are not significant (P≥0.1) due to the phenomenon of re-cultivation. According to the results of geo-detector model, the water factor dominates the vegetation growth pattern in Central Asia, and the temperature is negatively correlated with the NDVI change. The difference in spatial and temporal variation of NDVI between different terrains, elevations, soil types and land use types is also significant. In terms of the interaction factor, the bi-factor interaction has enhanced the interpretation of spatial distribution and temporal and spatial variation of NDVI. The synergistic effect of potential evapotranspiration and elevation on the spatial distribution of NDVI is over 64%.
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Wei WANG, Samat Alim, Abuduwaili Jilili. Geo-detector based spatio-temporal variation characteristics and driving factors analysis of NDVI in Central Asia. Remote Sensing for Land & Resources, 2019, 31(4): 32-40.
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