Zhang Quan, Liu Yu, Li Qiang, Sun Chang-Feng, Li Teng, Li Pei, Ye Yuan-da
State Key Laboratory of Loess and Quaternary Geology, Institute of Earth Environment, Chinese Academy of Sciences, Xi'an 710061, China.
College of Earth and Planetary Sciences, University of the Chinese Academy of Sciences, Beijing 100049, China.
Ying Yong Sheng Tai Xue Bao. 2021 Oct;32(10):3671-3679. doi: 10.13287/j.1001-9332.202110.025.
The normalized difference vegetation index (NDVI) is widely used in various fields of vegetation research. Due to the short observation time, however, it is difficult to meet the research needs at long time scale. Here, we established a tree-ring width chronology (STD) based on in Bayinbuluke, and calculated the correlation coefficient of chronology and NDVI with meteorological data. The results showed that both tree-ring width index and NDVI were significantly correlated with meteorological data. Combined with the significant positive correlation between width chronology and NDVI in June-August (=0.7, <0.01, =38), summer NDVI (from June to August) was reconstructed over the past 339 years using a regression model. During 1680-2018, the reconstruction series had four dense vegetation periods (1738-1765, 1786-1798, 1964-1973 and 2000-2018) and five sparse vegetation periods (1690-1714, 1825-1834, 1850-1880, 1895-1920 and 1945-1955). The reconstruction reflected the hydrological signals in the central Tianshan Mountains. The comparison with the surrounding reconstructions revealed that when the runoff of Kaidu River increased and the local environment was humid, the vegetation coverage was high; otherwise the vegetation coverage was low. The extreme value of the reconstruction series also captured a series of natural disasters recorded in historical documents. Results of HYSPLT (Hybrid Single-Particle Lagrangian Integrated Trajectory Model) backward trajectory model and wind field analysis showed that NDVI anomalies were affected by the precipitation from Westerlies.
归一化植被指数（NDVI）在植被研究的各个领域中被广泛应用。然而，由于观测时间较短，难以满足长时间尺度的研究需求。在此，我们基于巴音布鲁克的[具体内容缺失]建立了树轮宽度年表（STD），并计算了年表与NDVI和气象数据的相关系数。结果表明，树轮宽度指数和NDVI均与气象数据显著相关。结合6 - 8月树轮宽度年表与NDVI之间的显著正相关（=0.7，<0.01，=38），利用回归模型重建了过去339年夏季（6月至8月）的NDVI。在1680 - 2018年期间，重建序列有四个植被繁茂期（1738 - 1765年、1786 - 1798年、1964 - 1973年和2000 - 2018年）和五个植被稀疏期（1690 - 1714年、1825 - 1834年、1850 - 1880年、1895 - 1920年和1945 - 1955年）。该重建反映了天山中部的水文信号。与周边重建结果的比较表明，当开都河径流增加且当地环境湿润时，植被覆盖度高；否则植被覆盖度低。重建序列的极值还捕捉到了历史文献中记载的一系列自然灾害。HYSPLT（混合单粒子拉格朗日积分轨迹模型）后向轨迹模型和风场分析结果表明，NDVI异常受西风带降水影响。
