[Spatiotemporal Evolution Patterns of Grassland Degradation and Its Driving Factors on the Loess Plateau].

Q2 Environmental Science
Xiao Bai, Qian-Xiang Huang, Dan Tian, Xiao-Xu Jia, Li-Xiao Yang, Ming-An Shao, Peng-Fei Li, Jin-Fei Hu
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引用次数: 0

Abstract

The vegetation restoration strategies on the Loess Plateau are progressively orienting towards natural regeneration, utilizing grasslands for ecological recovery. However, there is a dearth of precise, in-depth quantification of the long-term spatio-temporal patterns and driving factors of grassland degradation in this area. This study, based on AVHRR and MODIS NDVI data, employs Google Earth Engine (GEE), grassland degradation indices, and spatio-temporal analysis to examine the vegetation cover and degradation patterns of the Loess Plateau's grasslands from 1986 to 2021. The study reveals the influence of meteorological elements on grassland degradation, with specific findings as follows: ① Grasslands exhibited moderate degradation on the Loess Plateau, with a degradation area of 17.4×104 km2 (43.8% of the total grassland area) before 2000, characterized by a degradation index of 2.25. Post-2000, the degraded area reduced to 15.3×104 km2 (38.4% of the total), with a degradation index of 2.06. ② Significant spatial heterogeneity in grassland degradation was observed, with pre-vegetation recovery (1986-2000) showing minimal overall change in the degradation index, with non-significant increases in the southeast and west (38% of the area) and decreases in the central and northwest (34% of the area). Post-vegetation recovery (2001-2021), the regional grassland degradation index showed an overall decrease and a constant trend (85% of the area), especially in the eastern and southern parts of the region, while it showed an insignificant increase trend in the Mu Us region. ③ Meteorological elements, notably precipitation and relative humidity, were identified as the primary drivers of grassland degradation, accounting for 80% of the variance, with precipitation and relative humidity contributing 45.8% and 21.7%, respectively. These results provide a data-supported framework for evaluating the spatio-temporal evolution of the Loess Plateau's grassland ecosystem and inform scientific approaches to sustainable vegetation management in the region.

黄土高原草地退化时空演变格局及其驱动因素[j]。
黄土高原植被恢复策略正逐步向自然更新方向发展,利用草地进行生态恢复。然而,对该地区草地退化的长期时空格局和驱动因素缺乏精确、深入的量化。基于AVHRR和MODIS NDVI数据,利用谷歌Earth Engine (GEE)、草地退化指数和时空分析,对1986 - 2021年黄土高原草地植被覆盖和退化格局进行了研究。研究揭示了气象要素对草地退化的影响,具体发现如下:①2000年以前黄土高原草地呈中度退化,退化面积为17.4×104 km2,占草地总面积的43.8%,退化指数为2.25;2000年后,退化面积减少到15.3×104 km2,占总面积的38.4%,退化指数为2.06。②草地退化具有明显的空间异质性,植被恢复前(1986-2000年)草地退化指数总体变化不大,东南和西部(占面积的38%)呈不显著上升趋势,中部和西北部(占面积的34%)呈下降趋势。植被恢复后(2001-2021年),区域草地退化指数总体呈下降趋势,且呈恒定趋势(85%面积),尤以东部和南部地区为显著,而毛乌素地区草地退化指数呈不显著上升趋势。③降水和相对湿度是草地退化的主要驱动因子,占变异量的80%,其中降水和相对湿度分别贡献45.8%和21.7%。这些结果为评价黄土高原草地生态系统的时空演变提供了数据支持框架,并为该地区可持续植被管理提供了科学方法。
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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