[1]李肖遥,岳春芳*,王庆杰,等. 玛依湖保护区生态环境质量时空变化及驱动因素分析[J].西北林学院学报,2024,39(1):19-27.[doi:10.3969/j.issn.1001-7461.2024.01.03]
 LI Xiao-yao,YUE Chun-fang*,WANG Qing-jie,et al. Spatiotemporal Variation and Driving Factors of Ecological Environment Quality in Mayi Lake Nature Reserve[J].JOURNAL OF NORTHWEST FORESTRY UNIVERSITY,2024,39(1):19-27.[doi:10.3969/j.issn.1001-7461.2024.01.03]
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 玛依湖保护区生态环境质量时空变化及驱动因素分析()
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《西北林学院学报》[ISSN:1001-7461/CN:61-1202/S]

卷:
第39卷
期数:
2024年第1期
页码:
19-27
栏目:
出版日期:
2024-01-31

文章信息/Info

Title:
 Spatiotemporal Variation and Driving Factors of Ecological Environment Quality in Mayi Lake Nature Reserve
文章编号:
1001-7461(2024)01-0019-09
作者:
 李肖遥12岳春芳12*王庆杰12张琴12
 (1.新疆农业大学 水利与土木工程学院,新疆 乌鲁木齐 830052;2.新疆水利工程安全与水灾害防治重点实验室,新疆 乌鲁木齐 830052)
Author(s):
 LI Xiao-yao12YUE Chun-fang12*WANG Qing-jie12ZHANG Qin12
 (1.College of Water Conservancy and Civil Engineering,Xinjiang Agricultural University,Urumqi 830052,Xinjiang,China; 2.Xinjiang Key Laboratory of Water Resources Engineering Safety and Water Disaster Prevention,Urumqi 830052,Xinjiang,China)
关键词:
 玛依湖保护区生态环境质量Mann-Kendal检验莫兰特指数(Moran’s I地理探测器模型
Keywords:
Mayi Lake Nature Reserve ecological environment quality Mann-Kendal test Moran’s I geographical detector model
分类号:
S718.56
DOI:
10.3969/j.issn.1001-7461.2024.01.03
文献标志码:
A
摘要:
 科学评估生态环境质量,明晰其空间分异驱动因素,是改善区域生态环境和维护区域生态安全的重要前提。基于2000-2020年遥感影像数据计算玛依湖保护区遥感生态指数(RSEI),采用Mann-Kendall检验方法,确定研究期间的典型年份,进而分析生态环境质量时空变化特征,最后采用空间自相关方法、地理探测器模型探讨了生态环境质量空间相关性及其变化潜在驱动因子。结果表明,1)2000-2020年玛依湖保护区遥感生态指数均值呈波动上升趋势,2009年处于最低值为0.28;由突变检验确定,2013年为研究期间的突变点;各典型年份,生态环境质量空间上呈现“中间高、四周低”的分布格局,其中2009年,中湖区和下湖区生态环境质量等级以下降为主,但总体上看,近20 a来保护区生态环境质量得到了改善。2)全局莫兰特指数(Moran’s I)0.64~0.71,研究区生态环境质量之间存在较强的正相关关系,其空间分布呈簇状,高-高聚集区分布在保护区中央,低-低聚集区分布在保护区四周,并且近20 a高-高聚集区域面积有扩张的趋势。3)地理探测器探测结果表明,除模型因子绿度和干度对生态环境质量变化有较大的影响外,土地利用对生态环境质量变化的影响越来越大。
Abstract:
 Scientifically evaluating the quality of ecological environment and clarifying its driving factors of spatial differentiation are important prerequisites for improving regional ecological environment and maintaining regional ecological security.In this study,the remote sensing ecological index (RSEI) of Mayi Lake Nature Reserve was calculated based on remote sensing image data from 2000 to 2020.The Mann-Kendall test method was used to determine the typical years during the study period,and then the spatial and temporal variation characteristics of ecological environment quality were analyzed.Finally,the spatial autocorrelation method and geographical detector model were used to explore the spatial correlation of ecological environment quality and its potential driving factors.The results showed that 1) from 2000 to 2020,the mean value of remote sensing ecological index of the reserve showed a fluctuating upward trend,and the lowest value (0.28) was in 2009.In each typical year,the ecological environment quality showed a spatial distribution pattern of "high in the middle and low around".In 2009,ecological environment quality grade of Zhonghu District and Xiahu District decreased mostly,but on the whole,the ecological environment quality of the reserve had been improved in the past 20 years.2) The global Moran’s I was between 0.64 and 0.71.There was a strong positive correlation between the ecological environment quality in the study area,and its spatial distribution was clustered.The high-high accumulation area was distributed in the center of the reserve,and the low-low aggregation area was distributed around the reserve.In the past 20 years,the area of high-high aggregation area had been expanding.3) The detection results of geographical detector showed that the influence of land use on the change of ecological environment quality was increasing except that the greenness and dryness of model factors had great influence on the change of ecological environment quality.

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备注/Memo

备注/Memo:
 收稿日期:2022-11-15修回日期:2023-03-15
基金项目:国家自然科学基金(51569032)。
第一作者:李肖遥。研究方向:水文学及水资源。E-mail:lxiaoyaoaju@sina.com
*通信作者:岳春芳,教授,博士生导师。研究方向:水资源管理。E-mail:mycf12@sina.com
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