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基于谷歌地球引擎的祁连山脉南坡生态环境质量动态评价图谱及驱动力分析

[Dynamic Evaluation Map and Driving Force Analysis of Ecological Environment Quality on the Southern Slope of Qilian Mountains Based on GEE].

作者信息

Zhang Qian, Cao Guang-Chao, Zhang Le-le, Zhao Mei-Liang, Li Jia-Tia

机构信息

Key Laboratory of Tibetan Plateau Land Surface Processes and Ecological Conservation, Ministry of Education, Qinghai Normal University, Xining 810008, China.

Qinghai Province Key Laboratory of Physical Geography and Environmental Process, College of Geographical Science, Qinghai Normal University, Xining 810008, China.

出版信息

Huan Jing Ke Xue. 2025 Jul 8;46(7):4534-4544. doi: 10.13227/j.hjkx.202406195.

Abstract

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.

摘要

气候变化和人类活动对区域生态系统构成了严峻挑战,因此需要强大的研究框架来评估生态环境质量。对这种质量进行动态、定量评估是制定生态保护措施和促进生态文明的基石。本研究利用2001年至2020年的MODIS数据,借助谷歌地球引擎(GEE)平台的力量,并将遥感生态指数(RSEI)作为关键评估工具,对祁连山脉南坡的生态健康状况进行了全面评估。采用森趋势分析和曼-肯德尔(M-K)检验,我们描绘了RSEI的空间演变模式,深入了解其时间动态。此外,通过将地质信息制图与皮尔逊相关分析相结合,我们深入探究了塑造RSEI变化的自然环境因素与人类活动之间的复杂相互作用。我们的研究结果揭示了几个要点:首先,祁连山脉南坡的生态质量呈现出明显的空间异质性,大通河、黑河、北大河和八宝河流域附近的生态质量极佳,而高海拔地区的生态质量相对较差。在时间上,从2001年到2020年,RSEI指数在0.62至0.70的范围内波动,这表明生态环境质量总体上有所提高,这证明了近年来生态恢复项目的大力实施。RSEI的年均值为0.66,表明在适度波动中保持稳定,尽管周边地区由于气候变化而经历了显著的RSEI波动。令人鼓舞的是,祁连山脉南坡超过80%的区域生态得到改善,只有11%的区域略有退化,这表明未来生态改善的轨迹充满希望。然而,必须警惕不可持续改善的风险。温度、降水和人类干预都对RSEI变化产生了影响,其中温度的影响比降水更为显著。值得注意的是,人类活动与RSEI呈正相关,这凸显了人类管理在生态改善中的重要性。本研究填补了祁连山脉南坡生态环境长期动态监测的关键空白,为该重要地区的针对性生态治理和促进绿色发展倡议提供了坚实基础。

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