Shi Ming-Ming, Wang Zhe, Zhou Bing-Rong, Yang Xin-Guang, Sun Wei-Jie
Key Laboratory of Disaster Prevention and Mitigation of Qinghai Province/Institute of Meteorological Science of Qinghai Province, Xining 810001, China.
College of Eco-environment and Resources, Qinghai Nationalities University, Xining 810007, China.
Ying Yong Sheng Tai Xue Bao. 2022 Dec;33(12):3271-3278. doi: 10.13287/j.1001-9332.202212.002.
Understanding the distribution, characteristics, and changing trend and persistence of grassland degradation and revealing its mechanism on the Qinghai-Tibetan Plateau can provide scientific basis for effective grassland management and conservation. We selected grassland coverage as the remote sensing monitoring index to establish the remote sensing monitoring and evaluation index system of grassland degradation and evaluate grassland degradation during 2016 to 2020 on the Qinghai-Tibet Plateau. The changing trend and persistence of grassland coverage were analyzed using linear regression and Hurst index analysis on a long time series scale (1982-2020). The partial correlation analysis was used to examine the influence of climate on grassland degradation. The results showed that grassland degradation reached 24.3% during 2016 to 2020, which was mainly light and moderate degradation, and largely distributed in low altitude and high fractional vegetation cover areas. From 1982 to 2020, grassland coverage tended to increase in the north, west and southwest, and decreased in the east and center of the Qinghai-Tibetan Plateau. The Hurst index of grassland coverage was less than 0.5 in 98.1% of the total grassland, indicating grassland coverage showed negatively persistent. The partial correlation coefficient between grassland coverage and precipitation (0.096) was higher than that of temperature (-0.033). About 16.0% area was dominated by temperature, which was mainly distributed in the central and southeast. About 12.2% area was dominated by precipitation, which was distributed in the northeast and west of the Qinghai-Tibetan Plateau.
了解青藏高原草地退化的分布、特征、变化趋势及持续性,揭示其形成机制,可为草地有效管理与保护提供科学依据。我们选取草地覆盖度作为遥感监测指标,建立草地退化遥感监测与评价指标体系,对2016—2020年青藏高原草地退化状况进行评价。利用线性回归和赫斯特指数分析法,在长时间序列尺度(1982—2020年)上分析草地覆盖度的变化趋势和持续性。采用偏相关分析法检验气候对草地退化的影响。结果表明,2016—2020年草地退化率达24.3%,主要为轻度和中度退化,且多分布于低海拔、高植被覆盖度区域。1982—2020年,青藏高原北部、西部和西南部草地覆盖度呈增加趋势,东部和中部呈下降趋势。98.1%的草地面积赫斯特指数小于0.5,表明草地覆盖度呈负持续性。草地覆盖度与降水量的偏相关系数(0.096)高于与气温的偏相关系数(-0.033)。约16.0%的区域受气温主导,主要分布在中部和东南部。约12.2%的区域受降水主导,分布在青藏高原东北部和西部。