[1]FU Hanpei,WANG Ranghu,WANG Xiaojun.Analysis of Spatiotemporal Variations and Driving Forces of NDVI in the Yellow River Basin During 1999—2018[J].Research of Soil and Water Conservation,2022,29(02):145-153+162.
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Research of Soil and Water Conservation[ISSN 1005-3409/CN 61-1272/P] Volume:
29
Number of periods:
2022 02
Page number:
145-153+162
Column:
Public date:
2022-03-20
- Title:
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Analysis of Spatiotemporal Variations and Driving Forces of NDVI in the Yellow River Basin During 1999—2018
- Author(s):
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FU Hanpei1, WANG Ranghu2, WANG Xiaojun1
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(1.College of Environment & Resource Science, Shanxi University, Taiyuan 030006, China; 2.Institute of Loess Plateau, Shanxi University, Taiyuan 030006, China)
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- Keywords:
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NDVI; change of time and space; Geodetector-mode; Yellow River Basin
- CLC:
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Q948
- DOI:
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- Abstract:
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In order to explore the temporal and spatial variation of NDVI and its driving forces in the Yellow River Basin, based on SPOT NDVI remote sensing data, trend analysis, spatial transfer matrix and barycentric transfer model were used to analyze the spatial-temporal variation characteristics of NDVI in the Yellow River Basin from 1999 to 2018, and geographic detector model was used to explain the spatial differentiation characteristics and driving forces of NDVI in the Yellow River Basin. The results show that:(1)from the perspective of the time variation trend of NDVI pixel scale, the NDVI variation trend of the Yellow River Basin from 1999 to 2018 was dominated by an extremely significant slow growth, accounting for 53.12% of the whole basin area; the overall change trend was good, but the sustainability was not strong; the areas with extremely significant and rapid growth accounted for 15.47%, which mainly located in the Lüliang Mountains in the west of Shanxi and the Loess Plateau in the north of Shaanxi;(2)from the spatial variation characteristics of NDVI, during the 20 years, 31.6% of the areas had stable FVC, while 65.99% had continued to increase FVC;(3)the spatial difference of NDVI in the Yellow River Basin was mainly determined by average precipitation, wetness index, dryness degree and soil type, and the explanatory power of all factors was more than 30%, indicating that water was still the dominant factor affecting NDVI in the Yellow River Basin; most of the interactions among the driving factors were mutually or non-linearly enhanced, with the strongest interaction explanatory power being average precipitation and land use, with a q value of 0.704; only the interaction between average annual precipitation and land use type and the interaction between elevation and population density were relatively independent.