西北干旱生态地理区NDVI时空变化特征及其驱动力

doi:10.12118/j.issn.1000-6060.2024.548

Abstract

Abstract:

The normalized difference vegetation index (NDVI) is a crucial indicator for assessing the stability of the ecological environment. The ecological environment in northwest China’s arid and semi-arid regions is fragile, and analyzing the spatio-temporal changes and driving forces of NDVI is critical for effective vegetation restoration in this area. This study utilizes a variety of datasets, including temperature, precipitation, evapotranspiration, elevation, soil, and nighttime lighting indices. Employing methodologies such as the coefficient of variation, Theil-Sen median trend analysis, the Mann-Kendall significance test, a geographic detector, and the multiscale geographically weighted regression (MGWR) model, we explored the spatiotemporal variation characteristics and driving factors of NDVI in the arid and semi-arid regions of northwest China from 2003 to 2022. The results showed that (1) NDVI exhibited an overall increasing trend from 2003 to 2022, ranging from 0.1974 to 0.2464. The minimum NDVI value was recorded in 2009, whereas the maximum occurred in 2018. (2) Overall, NDVI levels in most areas of the arid and semi-arid region of northwest China are relatively low, displaying a spatial distribution pattern of “high in the east and west, low in the middle”. (3) Most areas experience low stability in NDVI changes, with the central region showing strong stability and the eastern and western regions displaying weak stability. (4) An increasing trend in NDVI was observed across most areas, with only a few regions showing a decline. (5) The spatiotemporal variation of NDVI in the arid and semi-arid region of northwest China is influenced by both natural and human factors, with soil type serving as the primary driving factor. The interplay of various factors also affects the region. MGWR model analysis confirmed that soil type has the most significant effect on NDVI, with air temperature, potential evapotranspiration exerting negative effects, whereas precipitation, and nighttime light index have positive effects.

Key words: NDVI, trend analysis, MGWR, driving force, arid and semi-arid region of northwest China

SONG Xiaolong, LI Longtang, REN Jie, WU Yue, WANG Peng, MI Wenbao, MA Mingde. Spatio-temporal variation characteristics and driving factors of NDVI in the arid and semi-arid region of northwest China[J].Arid Land Geography, 2025, 48(6): 951-962.

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Spatio-temporal variation characteristics and driving factors of NDVI in the arid and semi-arid region of northwest China

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