干旱区科学2024,Vol.16Issue(8) :1044-1061.DOI:10.1007/s40333-024-0059-2

Response of vegetation variation to climate change and human activities in the Shiyang River Basin of China during 2001-2022

SUN Chao BAI Xuelian WANG Xinping ZHAO Wenzhi WEI Lemin
干旱区科学2024,Vol.16Issue(8) :1044-1061.DOI:10.1007/s40333-024-0059-2

Response of vegetation variation to climate change and human activities in the Shiyang River Basin of China during 2001-2022

SUN Chao 1BAI Xuelian 2WANG Xinping 2ZHAO Wenzhi 2WEI Lemin3
扫码查看

作者信息

  • 1. Northwest Institute of Eco-Environment and Resources,Chinese Academy of Sciences,Lanzhou 730000,China;University of Chinese Academy of Sciences,Beijing 100049,China;Gansu Provincial Academy of Water Sciences,Lanzhou 730000,China
  • 2. Northwest Institute of Eco-Environment and Resources,Chinese Academy of Sciences,Lanzhou 730000,China
  • 3. Northwest Institute of Eco-Environment and Resources,Chinese Academy of Sciences,Lanzhou 730000,China;University of Chinese Academy of Sciences,Beijing 100049,China
  • 折叠

Abstract

Understanding the response of vegetation variation to climate change and human activities is critical for addressing future conflicts between humans and the environment,and maintaining ecosystem stability.Here,we aimed to identify the determining factors of vegetation variation and explore the sensitivity of vegetation to temperature(SVT)and the sensitivity of vegetation to precipitation(SVP)in the Shiyang River Basin(SYRB)of China during 2001-2022.The climate data from climatic research unit(CRU),vegetation index data from Moderate Resolution Imaging Spectroradiometer(MODIS),and land use data from Landsat images were used to analyze the spatial-temporal changes in vegetation indices,climate,and land use in the SYRB and its sub-basins(i.e.,upstream,midstream,and downstream basins)during 2001-2022.Linear regression analysis and correlation analysis were used to explore the SVT and SVP,revealing the driving factors of vegetation variation.Significant increasing trends(P<0.05)were detected for the enhanced vegetation index(EVI)and normalized difference vegetation index(NDVI)in the SYRB during 2001-2022,with most regions(84%)experiencing significant variation in vegetation,and land use change was determined as the dominant factor of vegetation variation.Non-significant decreasing trends were detected in the SVT and SVP of the SYRB during 2001-2022.There were spatial differences in vegetation variation,SVT,and SVP.Although NDVI and EVI exhibited increasing trends in the upstream,midstream,and downstream basins,the change slope in the downstream basin was lower than those in the upstream and midstream basins,the SVT in the upstream basin was higher than those in the midstream and downstream basins,and the SVP in the downstream basin was lower than those in the upstream and midstream basins.Temperature and precipitation changes controlled vegetation variation in the upstream and midstream basins while human activities(land use change)dominated vegetation variation in the downstream basin.We concluded that there is a spatial heterogeneity in the response of vegetation variation to climate change and human activities across different sub-basins of the SYRB.These findings can enhance our understanding of the relationship among vegetation variation,climate change,and human activities,and provide a reference for addressing future conflicts between humans and the environment in the arid inland river basins.

Key words

vegetation variation/climate change/land use change/normalized difference vegetation index(NDVI)/enhanced vegetation index(EVI)/Shiyang River Basin

引用本文复制引用

基金项目

National Natural Science Foundation of China(42230720)

出版年

2024
干旱区科学
中国科学院新疆生态与地理研究所,科学出版社

干旱区科学

CSTPCDCSCD
影响因子:1.743
ISSN:1674-6767
参考文献量3
段落导航相关论文