Arid
DOI10.3390/w14244052
A Study on the Drivers of Remote Sensing Ecological Index of Aksu Oasis from the Perspective of Spatial Differentiation
Ling, Chao; Zhang, Guangpeng; Deng, Xiaoya; Jiao, Ayong; Chen, Chaoqun; Li, Fujie; Ma, Bin; Chen, Xiaodong; Ling, Hongbo
通讯作者Zhang, GP ; Ling, HB
来源期刊WATER
EISSN2073-4441
出版年2022
卷号14期号:24
英文摘要The overexploitation and misuse of natural resources in oaseshave put a significant strain on the ecosystem's fragility. Therefore, a rigorous study of the ecological environment's quality is required to assure the sustainability of oasis growth. The GEE platform has the features of timeliness and large data cloud processing, which accelerating the development of the remote sensing ecological index. The MODIS data of the research region from 2000 to 2020 were uploaded online to the GEE platform in order to calculate the humidity, greenness, dryness, and heat indices for each year. Principal component analysis was then used to develop the remote sensing ecological index after normalization. In addition, Pearson correlation coefficient, Moran's I index, geo-detector, and the MK trend test were employed to determine the dependability of the RSEI comprehensive index, analyze the ecological environment status and its change trend in the Aksu River Basin from 2000 to 2020, and investigate the external driving factors of RSEI spatial heterogeneity. (1) The average correlation degree of RSEI is as high as 0.820, and the Moran's I index is larger than 0.9118; thus, its practicability, dependability, and spatial rationality are enhanced. (2) The natural environment quality of Aksu basin is impacted in two ways by human influences. (1) The adoption of ecological protection measures to support the growth of groundwater reserves in the Aksu basin, increase plant covering, and so improve and enhance the ecological environment's quality. Following the adoption of ecological protection measures, the average RSEI rose by 12.89%, the ecological quality of the farmland-based region improved considerably, and the quality of the ecological environment was enhanced. (2) Urban growth inhibits environmental progress. The acceleration of urbanization and the large rise in NDBSI have exerted pressure on the development of RSEI, while the growth of cities and towns has decreased the vegetation cover in urban areas and impeded the improvement of ecological environment quality. (3) Both human and environmental causes contribute to the regional variability of RSEI in Aksu Basin. The geographical heterogeneity is mostly caused by temperature and land use, with land use being the most important driver. Strengthening research on the connection between groundwater storage change, land use, vegetation cover, and NDBSI may facilitate the growth of regional green economies.
英文关键词remote sensing ecological index spatio-temporal variation characteristics geographical detector spatial heterogeneity
类型Article
语种英语
开放获取类型gold
收录类别SCI-E
WOS记录号WOS:000904360500001
WOS关键词ENVIRONMENTAL-QUALITY ; REGION ; RIVER ; VULNERABILITY ; PROVINCE ; PATTERN ; CHINA ; AREA
WOS类目Environmental Sciences ; Water Resources
WOS研究方向Environmental Sciences & Ecology ; Water Resources
资源类型期刊论文
条目标识符http://119.78.100.177/qdio/handle/2XILL650/394871
推荐引用方式
GB/T 7714
Ling, Chao,Zhang, Guangpeng,Deng, Xiaoya,et al. A Study on the Drivers of Remote Sensing Ecological Index of Aksu Oasis from the Perspective of Spatial Differentiation[J],2022,14(24).
APA Ling, Chao.,Zhang, Guangpeng.,Deng, Xiaoya.,Jiao, Ayong.,Chen, Chaoqun.,...&Ling, Hongbo.(2022).A Study on the Drivers of Remote Sensing Ecological Index of Aksu Oasis from the Perspective of Spatial Differentiation.WATER,14(24).
MLA Ling, Chao,et al."A Study on the Drivers of Remote Sensing Ecological Index of Aksu Oasis from the Perspective of Spatial Differentiation".WATER 14.24(2022).
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