Heilongjiang Province Key Laboratory of Geographical Environment Monitoring and Spatial Information Service in Cold Regions, Harbin Normal University, Harbin 150025, People's Republic of China.
Heilongjiang Province Key Laboratory of Geographical Environment Monitoring and Spatial Information Service in Cold Regions, Harbin Normal University, Harbin 150025, People's Republic of China.
Sci Total Environ. 2023 Jun 15;877:162889. doi: 10.1016/j.scitotenv.2023.162889. Epub 2023 Mar 17.
As global temperatures rise, permafrost is degraded. Permafrost degradation alters vegetation phenology and community composition, thereby affecting local and regional ecosystems. The Xing'an Mountains, located on the southern edge of the Eurasian permafrost region, are very sensitive to the impact of permafrost degradation on ecosystems. Climate change has direct effects on permafrost and vegetation growth, and analysis of the indirect effects of permafrost degradation on vegetation phenology based on the normalized difference vegetation index (NDVI) can explain the internal impact mechanisms of ecosystem components. Based on the temperature at the top of permafrost (TTOP) model, which was used to simulate the spatial distribution of permafrost areas in the Xing'an Mountains from 2000 to 2020, the areas of the three permafrost types showed a decreasing trend. The mean annual surface temperature (MAST) increased significantly at a rate of 0.008 °C year from 2000 to 2020, and the southern boundary of the permafrost region moved north by 0.1-1 degrees. The average NDVI value of the permafrost region increased significantly in 8.34 % of the region. The significant correlations between NDVI and permafrost degradation, temperature and precipitation in the permafrost degradation region were 92.06 % (80.19 % positive, 11.87 % negative), 50.37 % (42.72 % positive, 7.65 % negative), and 81.59 % (36.25 % positive, 45.34 % negative), and were mainly distributed along the southern boundary of the permafrost region. A significance test of phenology in the Xing'an Mountains showed that the end of the growing season (EOS) and the length of the growing season (GLS) were significantly delayed and prolonged in the southern sparse island permafrost region. Sensitivity analysis showed that permafrost degradation was the main factor that affected the start of the growing season (SOS) and GLS. When the effects of temperature, precipitation, and sunshine duration were excluded, the regions with a significant positive correlation between permafrost degradation and SOS (20.96 %) and GLS (28.55 %) were located in both continuous and discontinuous permafrost regions. The regions with a significant negative correlation between permafrost degradation and SOS (21.11 %) and GLS (8.98 %) were mainly distributed on the southern edge of the island permafrost region. In summary, the NDVI changed significantly in the southern boundary of the permafrost region, and this change was mainly attributed to permafrost degradation.
随着全球气温的升高,多年冻土正在退化。多年冻土的退化改变了植被物候和群落组成,从而影响了当地和区域生态系统。位于亚欧多年冻土区南缘的兴安山脉对多年冻土退化对生态系统的影响非常敏感。气候变化对多年冻土和植被生长有直接影响,基于归一化差异植被指数(NDVI)分析多年冻土退化对植被物候的间接影响,可以解释生态系统组成部分的内部影响机制。基于 2000 年至 2020 年兴安山脉多年冻土区的顶温(TTOP)模型,模拟了多年冻土区的空间分布,三种多年冻土类型的面积呈减少趋势。多年冻土区的年平均地表温度(MAST)显著增加,增长率为 0.008°C/年,多年冻土区的南界向北移动了 0.1-1 度。多年冻土区的平均 NDVI 值在 8.34%的地区显著增加。在多年冻土退化区,NDVI 与多年冻土退化、温度和降水的显著相关性分别为 92.06%(80.19%为正相关,11.87%为负相关)、50.37%(42.72%为正相关,7.65%为负相关)和 81.59%(36.25%为正相关,45.34%为负相关),主要分布在多年冻土区的南缘。兴安山物候学的显著性检验表明,在南部稀疏岛状多年冻土区,生长季末期(EOS)和生长季长度(GLS)显著延迟和延长。敏感性分析表明,多年冻土退化是影响生长季开始(SOS)和 GLS 的主要因素。当排除温度、降水和日照时间的影响时,多年冻土退化与 SOS(20.96%)和 GLS(28.55%)呈显著正相关的区域位于连续和不连续多年冻土区。多年冻土退化与 SOS(21.11%)和 GLS(8.98%)呈显著负相关的区域主要分布在岛状多年冻土区的南部边缘。综上所述,多年冻土区南缘的 NDVI 变化显著,这种变化主要归因于多年冻土退化。