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基于GEE的大青山国家级自然保护区NDVI变化及影响因素分析

中文摘要英文摘要

区域植被动态变化研究是国家级自然保护区生态环境效益评估的重要手段之一。基于谷歌地球引擎(Google Earth Engine,GEE)云平台,使用Landsat遥感影像提取1995—2020年内蒙古大青山国家级自然保护区逐年植被生长季归一化植被指数(Normalized difference vegetation index,NDVI)数据集,采用皮尔逊相关性、残差分析和Lindeman-Merenda-Gold(LMG)模型等方法对该保护区设立前后的NDVI时空变化特征及其影响因子进行了分析。结果表明:(1) 1995—2008年NDVI呈下降趋势的区域面积占比为69.04%,而在2008—2020年NDVI呈上升趋势的区域占比高达94.98%,研究区成为国家级自然保护区以后植被明显好转。(2) 1995—2008年负向人类活动与气候暖干化趋势导致实验区植被NDVI的减少,其中气候暖干化趋势是主导因素。(3) 降水量的增加和正向人类活动驱动了2008—2020年实验区植被NDVI的增加。其中,以生态环境保护工程为代表的正向人类活动是该时间段植被恢复的主要原因。研究结果可为大青山国家级自然保护区环境治理与生态工程建设提供科学依据。

In recent years, China has made great progress in the construction and management of national naturereserves such as the Daqingshan National Nature Reserve in Inner Mongolia. However, the associated ecologicalbenefits have not been effectively assessed. The purpose of this study is to assess whether the establishment ofthe Daqingshan National Nature Reserve has contributed to the ecological recovery and improvement of the area.Examining changes in vegetation dynamics can be an effective tool for regional ecological engineering assessment, and this study analyzes such changes using the normalized difference vegetation index (NDVI). Based onthe Google Earth Engine (GEE) cloud platform, the study uses Landsat remote sensing imagery to extract NDVIdata for the nature reserve for the years 1995 to 2020. Spatial and temporal variation in NDVI and variation drivers before and after the establishment of the reserve were analyzed using Pearson correlation, residual analysisand the Lindeman-Merenda-Gold (LMG) model. A decreasing NDVI trend was identified during the 1995—2008period in 69.04% of the studied area, while an increasing NDVI trend was identified during the 2008—2020 period in 94.98% of the studied area. These results indicate that the quality of vegetation in the study area has improved significantly since it became a national nature reserve. Negative impacts from human activities and climatic warming during the 1995—2008 period led to decreases in NDVI in the studied area, with climate warming being the dominant factor. An increase in precipitation and positive impacts from human activities drove increasesin NDVI in the studied area during the 2008—2020 period, with positive human impacts arising from ecologicalenvironmental protection engineering implementation being the main reasons for vegetation recovery during thisperiod. The selection of Landsat remote sensing images and the use of the GEE integrated computing environment enabled the study to obtain vegetation monitoring data over a long time span and at a high spatial resolution. Spatiotemporal variation in vegetation was also more accurately portrayed using the NDVI measure, therebyenriching the technical means for long time-sequence and small region-scale vegetation monitoring. The resultsof this study provide clear evidence of the ecological benefits brought by the establishment of the Daqingshan National Nature Reserve. At the same time, the study provides basic information and technical support for futureecological-environmental management decisions concerning the protected area.

王永芳、艾丽亚、郭恩亮、顾锡羚、银 山

环境科学技术现状环境管理

GEENDVI气候变化人类活动自然保护区

王永芳,艾丽亚,郭恩亮,顾锡羚,银 山.基于GEE的大青山国家级自然保护区NDVI变化及影响因素分析[EB/OL].(2023-09-19)[2025-07-16].https://chinaxiv.org/abs/202309.00164.点此复制

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