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基于GEE的祁连山南坡生态环境质量动态评价图谱及驱动力分析
摘要点击 129  全文点击 7  投稿时间:2024-06-19  修订日期:2024-09-02
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中文关键词  生态环境质量  Google Earth Engine(GEE)平台  遥感生态指数(RSEI)  地学信息图谱  祁连山南坡
英文关键词  ecological environment quality  Google Earth Engine (GEE) platform  remote sensing-based ecological index (RSEI)  geoscience information cartography  southern slope of the Qilian Mountains
DOI    10.13227/j.hjkx.20250745
作者单位E-mail
张倩 青海师范大学青藏高原地表过程与生态保育教育部重点实验室, 西宁 810008
青海师范大学地理科学学院, 青海省自然地理与环境过程重点实验室, 西宁 810008 
401769795@qq.com 
曹广超 青海师范大学青藏高原地表过程与生态保育教育部重点实验室, 西宁 810008
青海师范大学地理科学学院, 青海省自然地理与环境过程重点实验室, 西宁 810008
青海省人民政府-北京师范大学高原与可持续发展研究院, 西宁 810008 
caoguangchao@qhnu.edu.cn 
张乐乐 青海师范大学青藏高原地表过程与生态保育教育部重点实验室, 西宁 810008
青海师范大学地理科学学院, 青海省自然地理与环境过程重点实验室, 西宁 810008 
 
赵美亮 青海师范大学青藏高原地表过程与生态保育教育部重点实验室, 西宁 810008
青海师范大学地理科学学院, 青海省自然地理与环境过程重点实验室, 西宁 810008 
 
李佳泰 青海师范大学青藏高原地表过程与生态保育教育部重点实验室, 西宁 810008
青海师范大学地理科学学院, 青海省自然地理与环境过程重点实验室, 西宁 810008 
 
中文摘要
      气候变化及人类活动对区域生态构成胁迫,生态环境质量的动态定量评估为生态保护战略部署与生态文明建设提供坚实研究支撑. 依据2001~2020年间的MODIS数据,基于GEE平台采用遥感生态指数(RSEI)为评估工具,全面评估祁连山南坡的生态环境质量. 通过Sen趋势分析法和Mann-Kendall(M-K)检验,描绘RSEI的空间演变特征. 同时,结合地学信息图谱和Pearson相关分析,深入剖析自然环境和人类活动对RSEI变化的影响机制. 结果表明:①祁连山南坡的生态质量在空间分布上呈现出显著的地理差异性. 截至2020年,大通河、黑河、北大河和八宝河流域周边地区生态质量优异,而地势较高的地区则生态质量相对较差. 在时间尺度上,2001~2020年间,该区域的RSEI指数从0.62波动性提升至0.70,表明生态环境质量整体趋好,这一积极变化与近年来该区大力实施的生态建设工程密切相关. ②2001~2020年间,祁连山南坡的RSEI年均值为0.66,整体波动性较小. 然而,边缘地区由于近些年来气候变化等影响因素,RSEI波动性较大. 祁连山南坡生态环境质量改善面积占比高达80%,而退化面积仅占11%,且均为轻微退化. 展望未来,该区域生态环境质量将持续向好,并有可能出现反持续性改善. ③气温、降水量以及人类活动均对生态环境产生了一定的影响,气温的影响较降水更为突出,成为影响生态环境健康状况的一个重要驱动力. 与此同时,随着人类活动的日益频繁与规模的扩大,其对自然生态环境的影响也愈发剧烈. 研究结果填补了祁连山南坡长期生态环境动态监测的空白,为祁连山的生态治理与绿色发展提供了有力的依据.
英文摘要
      Climate change and anthropogenic activities pose a formidable challenge to regional ecological systems, necessitating robust research frameworks to assess ecological environment quality. The dynamic, quantitative evaluation of such quality serves as a cornerstone for strategizing ecological protection measures and fostering ecological civilization. Leveraging MODIS data spanning from 2001 to 2020, this study harnesses the power of the Google Earth Engine (GEE) platform and the remote sensing ecological index (RSEI) as a pivotal evaluation tool to conduct a comprehensive appraisal of the ecological health of the southern slope of the Qilian Mountains. Employing Sen's trend analysis and the Mann-Kendall (M-K) test, we delineate the spatial evolution patterns of the RSEI, offering insights into its temporal dynamics. Furthermore, by integrating geological information mapping with Pearson correlation analysis, we delve into the intricate interplay between natural environmental factors and human activities that shape RSEI variations. Our findings revealed several salient points: Firstly, the ecological quality of the southern slope of the Qilian Mountains exhibited pronounced spatial heterogeneity, with the vicinities of the Datong, Heihe, Beida, and Babao River basins boasting exceptional ecological quality, in contrast to the relatively degraded conditions in higher-elevation areas. Temporally, from 2001 to 2020, the RSEI index fluctuated within a range of 0.62 to 0.70, signifying an overall enhancement in ecological environment quality, a testament to the vigorous implementation of ecological restoration projects in recent years. The average annual RSEI value stood at 0.66, indicative of stability amidst modest fluctuations, though peripheral regions experienced notable RSEI volatility due to climatic shifts. Encouragingly, over 80% of the southern slope experienced ecological improvement, with a mere 11% experiencing slight degradation, suggesting a promising trajectory for future ecological enhancement. However, caution must be exercised against the risk of unsustainable improvement. Temperature, precipitation, and human interventions all contributed to RSEI variations, with temperature exerting a more pronounced influence than precipitation. Notably, human activities correlated positively with RSEI, underscoring the significance of human stewardship in ecological improvement. This research fills a critical gap in the long-term, dynamic monitoring of the ecological environment on the southern slope of the Qilian Mountains, providing a robust foundation for targeted ecological governance and fostering green development initiatives in this vital region.

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