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[1]JIANG Ping,HU Liequn,XIAO Jing,et al.Spatiotemporal Dynamics of NDVI in Xinjiang and Quantitative Attribution Based on Geodetector[J].Research of Soil and Water Conservation,2022,29(02):212-220+242.

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Spatiotemporal Dynamics of NDVI in Xinjiang and Quantitative Attribution Based on Geodetector

Research of Soil and Water Conservation[ISSN 1005-3409/CN 61-1272/P] Volume: 29 Number of periods: 2022 02 Page number: 212-220+242 Column: Public date: 2022-03-20

Title:: Spatiotemporal Dynamics of NDVI in Xinjiang and Quantitative Attribution Based on Geodetector

Author(s):: JIANG Ping, HU Liequn, XIAO Jing, YASENJIANG·Kuerban; (Xinjiang Meteorological Service Center, Urumqi 830002, China)

Keywords:: NDVI; spatiotemporal variation; driving forces; Geodetector; Xinjiang Uygur Autonomous Region

CLC:: Q948.15

DOI:: -

Abstract:: The spatial and temporal changes of vegetation in Xinjiang were firstly identified based on the Normalized Difference Vegetation Index(NDVI)data from 2000 to 2018 by using linear trend analysis. In combination with 15 other factors including climate, topography, hydrology, soil, and human disturbance etc., the spatial stratification of the impacts of natural and non-natural factors on vegetation changes was then explored by applying the geographical detector model with the Random Forest. The results showed that: the vegetation coverage of the whole region was characterized by high in the north and west, low in the south and east, while the vegetation coverage of the mountains were higher than that of the plains; during 2000—2018, the vegetation had improved significantly, with 60.91% of the vegetated areas showing an increasing trend in NDVI; root-zone soil moisture had the highest explanatory power(0.394), and dominated the spatio-temporal patterns of NDVI together with arable area and potential evapotranspiration; the interaction of each two factors could enhance the explanatory power on the spatial distribution of NDVI in a non-linear manner, among which the interaction of root-zone soil moisture and potential evapotranspiration had the strongest influence in particular; there existed optimum ranges or characteristics for each factor to promote vegetation growth, among which, NDVI spatial variation was basically positively correlated with moisture factors and negatively correlated with radiation and elevation. In conclusion, vegetation change in Xinjiang is more directly influenced by soil moisture conditions, and in addition, moderate human activities have had a significant contribution to vegetation recovery.

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Last Update: 2022-04-20