Zhou Qilong, Chen Wei, Wang Hongtao, Wang Dongliang
College of Geoscience and Surveying Engineering, China University of Mining & Technology, Beijing 100083, China.
College of Geoscience and Surveying Engineering, China University of Mining & Technology, Beijing 100083, China.
Sci Total Environ. 2024 Dec 1;954:176271. doi: 10.1016/j.scitotenv.2024.176271. Epub 2024 Sep 13.
The arid region of northwest China (ARNC) is the most ecologically fragile region in China, and is characterized by harsh natural conditions, severe soil erosion, and poor soil fertility. Understanding long-term vegetation changes in this region is critical for effective environmental monitoring and climate change adaptation. Fractional vegetation coverage (FVC) is a key parameter for characterizing the ecological conditions of the ARNC. However, the reliance on low-resolution FVC and NDVI data due to the lack of medium-resolution data has limited our understanding of the environmental dynamics in this region. Therefore, this study addressed this gap by utilizing Landsat data to generate FVC data, enabling a detailed investigation of the spatial-temporal variations and driving factors of vegetation in the ARNC from 2000 to 2020. The results indicated the following: (1) The FVC was generally low, with an average of 0.191. The FVC was greater in the northwest and lower in the southeast in terms of spatial distribution features. The trend of FVC change in ARNC showed significant spatial variability, with degradation outweighing improvement. (2) The coefficient of variation of FVC was 0.377, indicating significant temporal fluctuations, with more stable conditions in the northwest than in the southeast. (3) The spatial differentiation of the FVC in ARNC was primarily driven by land cover types, evapotranspiration, and precipitation, with explanatory powers exceeding 30 % each. This study is significant because it provides a comprehensive understanding of vegetation dynamics in one of China's most vulnerable regions, offering critical insights for ecological restoration, desertification control, and sustainable development. The findings underscore the importance of targeted ecological governance to address the challenges posed by environmental degradation in the ARNC.
中国西北干旱区是中国生态最脆弱的地区,其特点是自然条件恶劣、水土流失严重、土壤肥力低下。了解该地区长期的植被变化对于有效的环境监测和气候变化适应至关重要。植被覆盖度(FVC)是表征中国西北干旱区生态状况的关键参数。然而,由于缺乏中分辨率数据,对低分辨率FVC和归一化植被指数(NDVI)数据的依赖限制了我们对该地区环境动态的理解。因此,本研究利用陆地卫星数据生成FVC数据,填补了这一空白,从而能够详细调查2000年至2020年中国西北干旱区植被的时空变化及其驱动因素。结果表明:(1)FVC总体较低,平均为0.191。从空间分布特征来看,FVC在西北部较高,在东南部较低。中国西北干旱区FVC变化趋势呈现出显著的空间变异性,退化超过改善。(2)FVC的变异系数为0.377,表明存在显著的时间波动,西北部的状况比东南部更稳定。(3)中国西北干旱区FVC的空间分异主要受土地覆盖类型、蒸散和降水驱动,解释力均超过30%。本研究具有重要意义,因为它全面了解了中国最脆弱地区之一的植被动态,为生态恢复、荒漠化治理和可持续发展提供了关键见解。研究结果强调了针对性生态治理对于应对中国西北干旱区环境退化挑战的重要性。