数字农科院2.0

Spatiotemporal Changes in NDVI and Its Driving Factors in the Kherlen River Basin

文献类型： 外文期刊

作者： Yu, Shan;Du, Wala;Zhang, Xiang;Hong, Ying;Liu, Yang;Hong, Mei;Chen, Siyu

作者机构：

关键词： normalized difference vegetation index (NDVI);spatial stability;vegetation;ecology;Geodetector;Kherlen River Basin

期刊名称： CHINESE GEOGRAPHICAL SCIENCE

ISSN： 1002-0063

年卷期： 2023 年

页码：

收录情况： SCIE（2023版） ; ; CSCD（2023-2024年度） ; ; 科技核心（2023版）

摘要： Vegetation is an important factor linking the atmosphere, water, soil, and biological functions, and it plays a specific role in the climate change response and sustainable development of regional economies. However, little information is available on vegetation vulnerability and its driving mechanism. Therefore, studying temporal and spatial change characteristics of vegetation and their corresponding mechanisms is important for assessing ecosystem stability and formulating ecological policies in the Kherlen River Basin. We used MOderate-resolution Imaging Spectroradiometer (MODIS) normalized difference vegetation index (NDVI) remote sensing images from 2000 to 2020 to analyse temporal changes in NDVI with the autoregressive moving average model (ARMA) and the breaks for additive season trend (BFAST) in the basin and to assess natural, anthropogenic and topographic factors with the Geodetector model. The results show that: 1) the long NDVI time series remained stable in the Kherlen River Basin from 2000 to 2020, with a certain significant mutation period from 2013 to 2017; 2) the coefficient of variation (CV) in the analysis of the spatial NDVI was generally constant, mainly at the level of 0.01-0.07, and the spatial NDVI change was minimally impacted by external interference; and 3) temperature and precipitation are the key factors affecting the NDVI in the basin, and changes in local hydrothermal conditions directly affect the local NDVI. The results of this study could provide a scientific basis for the effective protection of the ecological environment and will aid in understanding the influence of vegetation change mechanisms and the corresponding factors.

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