[Characteristics of Spatial and Temporal Evolution of Vegetation Cover and Analysis of Driving Factors in Different Climate Zones in China from 1982 to 2022].

Q2 Environmental Science
Yan-Wei Zhang, Jia-Yuan Wang, Ming-Chang Shi, Zhi-Dong Luo, Ze-Kun Zhao, Chu-Rui Zhang, An-Qi Wu
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引用次数: 0

Abstract

In order to maintain the ecological environment and prevent soil erosion, it is of great significance to investigate the spatiotemporal dynamics of vegetation cover across different regions of China as well as the topographical effects of such dynamics. This study calculates vegetation cover from 1982 to 2022 across China by using AVHRR GIMMS-3G+ NDVI. Utilizing such methods as the Theil-Sen-Mann-Kendall test, Hurst index, CV test, and geographic detector, this study assesses the spatiotemporal evolution patterns of FVC in China's four climate regions, as well as the driving mechanisms of such patterns. It was found that: ① From 1982 to 2022, China's annual average FVC exhibited a spatial distribution pattern of "high in the southeast and low in the northwest." With a multi-year average FVC value of 0.317 7, an overall fluctuating upward trend was shown, and the temperate monsoon climate zone made the most contribution. ② From 1982 to 2022, FVC across China generally maintained high stability, with an average CV value of 0.061 2. Areas with high vegetation coverage typically exhibited higher stability. The Hurst index indicated that the vegetation coverage in China is expected to manifest an overall positive trend in the future, but the areas undergoing continuous degradation will still account for 8.88%. ③ The primary single factors driving the spatial distribution patterns of FVC across China included precipitation, soil moisture, and temperature, with significance coefficients of 0.769 2, 0.558 1, and 0.436 4, respectively. Ecological engineering has reversed land degradation to some extent; nevertheless, extreme climate cycles may still overtake the ecosystem's recovery threshold. ④ The coupled effects between precipitation and soil moisture versus other factors were the primary drivers of vegetation growth in China. In the temperate monsoon climate zone of China, as the primary regions for such ecological engineering projects as the Three-North Shelterbelt Forest and the Beijing-Tianjin-Hebei Sandstorm Source Control Project, it has been demonstrated that human intervention could significantly enhance vegetation coverage. In the high-altitude and frigid Qinghai-Tibet Plateau climate zone, human activities have disrupted the regional microclimate water cycle structure along major rivers, particularly in ecologically fragile areas such as the Yarlung Tsangpo River Basin, thus further hindering the ecological recovery capacity. This study provides theoretical support for formulating regionally differentiated ecological recovery strategies.

[1982 - 2022年中国不同气候带植被覆盖时空演变特征及驱动因素分析]。
研究中国不同区域植被覆盖的时空动态及其地形效应,对维护生态环境和防止水土流失具有重要意义。利用AVHRR GIMMS-3G+ NDVI计算了1982 - 2022年中国的植被覆盖度。利用Theil-Sen-Mann-Kendall检验、Hurst指数、CV检验和地理探测器等方法,分析了中国4个气候区植被覆盖度的时空演变格局及其驱动机制。结果表明:①1982—2022年,中国年平均植被覆盖度呈现“东南高、西北低”的空间分布格局。植被覆盖度多年平均值为0.317 7,总体呈波动上升趋势,温带季风气候区贡献最大。②1982 ~ 2022年,中国植被覆盖度总体保持较高的稳定性,平均CV值为0.061 2。植被覆盖度高的地区通常具有较高的稳定性。Hurst指数表明,未来中国植被覆盖度总体呈上升趋势,但持续退化的区域仍将占8.88%。③影响植被覆盖度空间分布格局的主要单因子为降水、土壤湿度和温度,显著性系数分别为0.769 2、0.558 1和0.436 4。生态工程在一定程度上扭转了土地退化,然而,极端气候周期仍可能超过生态系统的恢复阈值。④降水和土壤水分与其他因子的耦合作用是中国植被生长的主要驱动力。在中国温带季风气候区,作为三北防护林和京津冀风沙源治理等生态工程的主要区域,人类干预可以显著提高植被覆盖度。在青藏高原高寒气候区,人类活动破坏了主要河流沿线的区域小气候水循环结构,特别是在雅鲁藏布江流域等生态脆弱地区,进一步阻碍了生态恢复能力。该研究为区域差别化生态恢复策略的制定提供了理论支持。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
环境科学
环境科学 Environmental Science-Environmental Science (all)
CiteScore
4.40
自引率
0.00%
发文量
15329
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