摘要
开展黄河流域生态环境质量时空格局演变及驱动因素研究,为黄河流域生态文明建设和人地和谐发展提供科学决策支持。基于2000-2022年的MODIS数据,利用遥感生态指数(RSEI)评估黄河流域生态环境质量,采用Sen趋势分析法和MK检验全面刻画RSEI的空间演变特征。结合分位数回归模型和残差分析探究自然环境和人类活动对不同分位数RSEI变化的影响机制及相对贡献率。结果表明:2000-2022年,黄河流域RSEI年均值为0.465,年均增速为0.55%。黄河流域中游RSEI上升最为显著。流域RSEI改善的区域面积占比为74.94%,显著改善的区域为内蒙古中部及晋陕两省北部地区。同一因素对不同分位数RSEI的影响效应存在显著分异。随着RSEI分位点的提高,温度、降水及高程等3个变量影响程度均呈下降趋势。自然环境和人类活动共同作用导致黄河流域RSEI变化面积占比为64.00%,由人类活动导致RSEI变化的区域面积占比为20.62%,由自然环境导致RSEI变化的区域面积占比为15.38%。
The Yellow River basin is an important ecological barrier in China.Exploring the spatiotemporal evolution and driving factors of eco-environmental quality is important for decision making on ecological management and high-quality development in the basin.In this study,we evaluated the quality of the ecological environment in the Yellow River basin from 2000 to 2022 using the remote sensing ecological index(RSEI),a comprehensive metric calculated from the normalized difference vegetation index(NDVI),wetland extent trends(WET),land surface temperature(LST)and the normalized difference bareness index(NDBI).Data sources for the study include moderate resolution imaging spectrometer(MODIS)data and natural environment data(temperature,TEM;precipitation,PRE;soil moisture,SOI;solar net radiation,SNR;slope and elevation,DEM;wind speed,WS).Sen’s trend analysis method and the Mann-Kendall test were used to characterize the spatial evolution of RSEI.Then,the quantile regression model and residual analysis were applied to quantify the effects of factors influencing the RSEI and ascertain the relative contributions of human activities and natural factors.Results were as follows:Eco-environmental quality improved during the 20 year study period,and the average annual RSEI in the Yellow River basin was 0.465 for 2000-2022,with an average annual increase of 0.55%.The largest RSEI increase was in the middle reaches of the Yellow River basin,but the RSEI improved in 74.94% of the Yellow River basin area,and significantly improved in central Inner Mongolia and northern Shanxi and Shaanxi.The seven environmental factors all had positive effects on the RSEI,with the most significant impacts by PRE and DEM.There were also significant differences in the impact of the same factors on the RSEI of different quantiles.As the RSEI quantile increases,the relative influences of temperature,precipitation and elevation trended downward.The impact of natural environmental factors and human activities,as well as their combined effect on RSEI wer
作者
董洁芳
武荣伟
赵艳芬
DONG Jie-fang;WU Rong-wei;ZHAO Yan-fen(Department of Cultural and Tourism,Yellow River Cultural and Ecological Research Institute Yuncheng University,Yuncheng 044000,P.R.China;School of Public Administration,Center for Population Development and Policy Research,Chongqing Technology and Business University,Chongqing 400067,China;College of Resources and Environment,Shanxi University of Finance and Economics,Taiyuan 030006,P.R.China)
出处
《水生态学杂志》
CSCD
北大核心
2024年第3期60-69,共10页
Journal of Hydroecology
基金
山西省社科联重点课题研究项目(SSKLZDKT2022147)
运城学院旅游管理重点学科项目(XK-2021031)
山西师范大学产学研项目(CXY2202)。
关键词
遥感生态指数
时空演化
驱动因素
分位数回归模型
黄河流域
remote sensing ecological index
spatiotemporal evolution
driving factors
quantile regression model
Yellow River basin