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基于GEE的库鲁斯台草原生态环境评价

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库鲁斯台草原是新疆塔城地区农牧业发展的重要物质基础.由于草原严重退化、沙化、盐渍化等生态环境问题日益突出,近年来我国实施了一系列生态修复工程以改善草原生态环境.及时、客观、定量评价生态环境质量的时空变化对环境保护修复工程实施和政策制定具有重要意义.本文基于Google Earth En-gine(GEE)平台,选取2009、2012、2015、2018和2021年同期采集的高质量Landsat影像,构建基于遥感的生态指数(RSEI),评估了库鲁斯台草原生态环境质量的时空变化和空间集聚规律.结果表明:(1)2009-2021年RSEI的均值由0.294增加至0.324,表明研究期内库鲁斯台草原生态环境质量整体呈波动上升趋势.(2)从空间分布来看,生态环境质量水平较差和差的区域主要分布在库鲁斯台草原西部、西北及西南部等海拔相对较低的区域,良好和优秀生态水平区域主要集中在森林覆盖率高的中部及东部等海拔较高、人类活动较少的地区.(3)2009-2021年,RSEI的全局Moran'sI值为0.508~0.687,表明库鲁斯台草原生态环境质量的空间分布呈显著正相关.RSEI局部空间自相关聚类图显示,高-高(H-H)集聚区主要分布在海拔较低的中部,低-低(L-L)集聚区主要分布在植被较少、海拔较高的西南部和西北部.
Eco-environmental assessment of Kurustai grassland based on Google Earth Engine
Kurustai grassland is important for agriculture and animal husbandry development in the Tacheng region of Xinjiang,China.To fighting against the increasingly prominent environmental problems such as severe grassland degradation,desertification,and salinization,China has implemented a series of ecological restoration projects to improve grassland environment.Timely,objective,and quantitative evaluations of spatial and temporal variations in ecological environment quality are important for the implementation of environmental protection and restoration pro-jects and policymaking.Using Google Earth Engine(GEE),a remote sensing-based ecological index(RSEI)was constructed based on high-quality Landsat images in 2009,2012,2015,2018,and 2021,to assess spatiotemporal variations and spatial clustering patterns of environment quality in Kurustai grassland.The results showed that:(1)The mean value of RSEI increased from 0.294 to 0.324 during 2009-2021,indicating a fluctuating upward trend for the overall environmental quality of the Kurustai grassland.(2)Spatially,the areas with poor and fair environ-ment quality levels were distributed in the western,northwestern,and southwestern regions of Kurustai grassland at relatively low elevations,whereas those with good and excellent environment quality levels were primarily concentra-ted in the central and eastern regions with high forest cover and less human activities at high elevations.(3)From 2009 to 2021,the global Moran's I values of RSEI were 0.508-0.687,indicating a positive correlation with the spa-tial distribution of environment.The local spatial autocorrelation clustering map of RSEI showed that high-high(H-H)clustering areas were primarily distributed in the central region with low elevation,whereas low-low(L-L)cluste-ring areas were in the southwest and northwest parts of the region with sparse vegetation and high elevation.

RSEIenvironment qualityspatial autocorrelationKurustai grasslandecological restoration project

刘玉佳、彭建、李刚勇、韩万强、刘亮、关靖云、巨喜峰、郑江华

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新疆大学地理与遥感科学学院,乌鲁木齐 830046

新疆维吾尔自治区草原总站,乌鲁木齐 830000

新疆绿洲生态重点实验室,乌鲁木齐 830046

RSEI 生态环境质量 空间自相关 库鲁斯台草原 生态修复工程

&&新疆天山雪松计划

2020051400172020XS04

2023

生态学杂志
中国生态学学会

生态学杂志

CSTPCDCSCD北大核心
影响因子:1.439
ISSN:1000-4890
年,卷(期):2023.42(11)
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