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生态学杂志 ›› 2023, Vol. 42 ›› Issue (6): 1464-1473.doi: 10.13292/j.1000-4890.202306.033

• 研究报告 • 上一篇    下一篇

2000—2020年青藏高原生态质量时空变化

张云霞,汪仕美,李焱,高秉丽,巩杰*   

  1. (兰州大学资源环境学院/西部环境教育部重点实验室, 兰州 730000)
  • 出版日期:2023-06-10 发布日期:2023-06-05

Spatiotemporal patterns of ecological quality across the Qinghai-Tibet Plateau during 2000-2020.

ZHANG Yunxia, WANG Shimei, LI Yan, GAO Bingli, GONG Jie*   

  1. (College of Earth and Environmental Sciences/Key Laboratory of Western China’s Environmental Systems (Ministry of Education), Lanzhou University, Lanzhou 730000, China).

  • Online:2023-06-10 Published:2023-06-05

摘要: 青藏高原位置特殊、地貌复杂、资源丰富,对中国乃至全球具有重要气候调节、生态安全及独特地理意义。评价青藏高原生态质量变化,对区域生态保护和全球变化研究具有重要启发作用。本文基于Google Earth Engine平台,结合区域特征构建遥感生态指数(Remote Sensing Ecological Index,RSEI),分析了青藏高原2000—2020年生态质量时空变化,并探讨了生态质量对气候及土地利用变化的响应。结果表明:2000—2020年青藏高原生态质量呈“总体改善、局部恶化”态势,其中68.33%的区域显著上升,主要位于青海和西藏,显著下降的区域占4.39%,主要位于新疆及西藏南部片区;青藏高原RSEI整体较低,均值为0.40,呈东南向西北递减趋势;RSEI变异系数以弱、较弱等级为主,占总面积的89.33%,表明整体波动性小;Hurst指数均值为0.45,说明青藏高原生态质量未来变化趋势反向特征强于同向,呈极弱恶化趋势;其中显著持续恶化区域仅占0.28%,集中于高原西北部,未来开始恶化的面积仅占12.40%,主要位于高原中北部;降水对RSEI的影响大于气温,RSEI与气温显著相关区域面积仅占10.68%,与降水显著相关区域面积占25.73%;林、草地改良和扩张促进生态质量改善,多年冰川积雪的减少导致区域生态质量恶化。研究结果可为区域生态修复及促进生态系统平衡提供理论依据。


关键词: 青藏高原, 遥感生态指数, 生态质量, 时空变化, Google Earth Engine

Abstract: The Qinghai-Tibet Plateau has a unique location, complex landform, and rich resources, with essential climatic regulation, ecological security, and special geographical significance for China and even the world. The assessment of ecological quality changes on the Qinghai-Tibet Plateau is of great significance for regional ecological protection and global change research. Based on the Google Earth Engine, we constructed a remote sensing ecological index (RSEI) by combining regional characteristics. We further analyzed the spatiotemporal variations of ecological quality in the plateau from 2000 to 2020, and examined the responses of ecological quality to climate changes and land use changes. The results showed that ecological quality had been generally improved and partially deteriorated, of which 68.33% had increased significantly, mainly distributed in Qinghai and Tibet, and 4.39% had decreased significantly, mainly located in Xinjiang and some parts of southern Tibet over the past 20 years. The RSEI was relatively low, with an average of 0.40, and showing an upward trend from the northwest to the southeast. The coefficient of variation of RSEI was dominated by weak and relatively weak grades, accounting for 89.33% of the total area, indicating that its variability could be negligible. The mean value of Hurst index was 0.45, indicating that the future change trend of ecological quality is stronger in reverse than in same direction, showing a weak deterioration trend in the plateau. Among them, 0.28% of the area with significant continuous deterioration was located in the northwestern plateau. Only 12.40% of the plateau that will begin to deteriorate was mainly distributed in the central and northern plateau. The impacts of precipitation on RSEI were greater than that of temperature. The area with significant correlation between RSEI and temperature only accounted for 10.68%, while that with significant correlation between RSEI and precipitation accounted for 25.73%. The improvement and expansion of forest and grassland promoted the improvement of ecological quality, while the reduction of permanent glaciers and snow led to the deterioration of regional ecological quality. Our results can provide a theoretical basis for regional ecological restoration and promoting ecosystem balance of Qinghai-Tibet Plateau.


Key words: Qinghai-Tibet Plateau, remote sensing ecological index, ecological quality, spatiotemporal variation, Google Earth Engine.