文章摘要
开都河流域生态系统服务价值时空演变及其驱动因素
Spatial and temporal evolution and driving factors of ecosystem service value in the Kaidu River basin
投稿时间:2024-06-02  
DOI:10.13254/j.jare.2024.0377
中文关键词: 土地利用  生态系统服务价值  空间自相关  开都河流域  地理探测器
英文关键词: land use  ecosystem service value  spatial autocorrelation analysis  Kaidu River basin  geo-detector
基金项目:国家自然科学基金项目(42361006)
作者单位E-mail
彭清清 新疆师范大学地理科学与旅游学院, 乌鲁木齐 830054  
迪丽努尔·阿吉 新疆师范大学地理科学与旅游学院, 乌鲁木齐 830054
新疆干旱区湖泊环境与资源重点实验室, 乌鲁木齐 830054 
2548290281@qq.com 
李平平 新疆师范大学地理科学与旅游学院, 乌鲁木齐 830054
新疆干旱区湖泊环境与资源重点实验室, 乌鲁木齐 830054 
 
胡丛巧 新疆师范大学地理科学与旅游学院, 乌鲁木齐 830054  
康佳佳 新疆师范大学地理科学与旅游学院, 乌鲁木齐 830054  
王凯 新疆师范大学地理科学与旅游学院, 乌鲁木齐 830054  
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中文摘要:
      为探讨开都河流域生态系统服务价值(ESV)的时空变化特征及其驱动因素,本研究通过土地利用转移矩阵、生态贡献率、克里金插值、单变量相关分析等方法从时空角度全面分析了该流域2000—2020年ESV变化特征。研究表明:流域20年间土地利用类型以草地和未利用地为主,耕地面积逐年增加,建设用地最少;流域20年间土地利用转出和转入面积最大的是水域和草地,且土地利用类型间存在频繁转换;流域ESV整体呈下降-上升-下降趋势,草地是主要正向贡献因子,水域是主要负向贡献因子;调节服务始终在生态系统服务功能中占主导地位;流域的ESV空间具有强烈正相关性,高-高聚集区主要分布在流域北部和博斯腾湖及其附近,低-低聚集区主要分布在流域南部;流域ESV时空演变的驱动因素中,高程对ESV的影响最大,高程与归一化植被指数、气温和蒸发量的交互作用对ESV的影响较大。综上所述,流域仍面临生态水平恶化的压力。
英文摘要:
      In order to explore the spatial and temporal evolution of the ecosystem service value(ESV)and the factors affecting them in the Kaidu River basin, this study based on the land use dynamic degree of the Kaidu River basin from 2000 to 2020, comprehensively analyzed the characteristics of ESV changes in the Kaidu River basin from a spatial and temporal perspective by using land use dynamic degree, land transfer matrix, estimation of ESV, contribution rate of ecosystem services value and univariate correlation analysis. The results indicated that the basin had been dominated by grassland and unused land from 2000 to 2020 in terms of land type, with cultivated land increasing in size each year, and the least amount of construction land. The largest area of land use transfers out and in from the basin from 2000 to 2020 was water and grassland, and there were frequent conversions between land use types. ESV showed a decreasing-rising-decreasing trend (from 2000 to 2020), grassland was the main positive contributor, while water was the main negative contributor; regulating services consistently dominate ecosystem service functions. The spatial ESV of the basin was strongly positively correlated, with high and high aggregation areas mainly distributed in the northern part of the basin and Bosten River and its vicinity, and low and low aggregation areas mainly distributed in the southern part of the basin. Among the drivers of spatial and temporal evolution of ESV in the basin, indicated that elevation had the greatest impact on ESV, and the interaction between elevation ∩ NDVI, elevation ∩ temperature, and elevation ∩ evaporation had the greatest impact on ESV. In summary, the watershed is still under pressure to deteriorate ecological levels.
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