过去几十年来，全球气候的显著变化对植物的生长产生了影响。高纬度地区的植被生态系统脆弱，容易受到气候变化的影响。通过研究这些地区，可以更好地了解植被对气候变化的物候相应关系。传统研究主要通过线性相关分析来研究单个气象因素如何影响植被物候的变化，这不足以定量揭示各种气候因素相互作用对植被物候变化的影响。我们使用不对称高斯拟合方法来拟合归一化植被指数（NDVI）曲线，然后使用动态阈值方法提取2000年至2017年东西伯利亚苔原-泰加林过渡带研究区域植被的物候参数，包括生长季起始期（SOS）、生长季结束期（EOS）和生长季长度（LOS）。本研究中使用的月温度和降水数据来自CRU气象数据集。研究结果表明，EOS比SOS更容易受到气候变化的影响。3月、4月和9月的气候变化对植被物候变化的解释度最高，与单独的气候条件的影响相比，温度和降水的交互作用对植被物候变化的影响更大。结果定量地显示了温度和降水变化之间的相互作用程度，以及它们对不同月份不同物候参数变化的影响。了解各种气候变化如何影响不同时期植物的物候变化可能更直观。这项研究为研究全球气候变化如何影响生态系统和全球碳循环奠定了基础。

Significant changes to the world's climate over the past few decades have had an impact on the development of plants. Vegetation in high latitude regions, where the ecosystems are fragile, is susceptible to climate change. It is possible to better understand vegetation's phenological response to climate change by examining these areas. Traditional studies have mainly investigated how a single meteorological factor affects changes in vegetation phenology through linear correlation analysis, which is insufficient for quantitatively revealing the effects of various climate factor interactions on changes in vegetation phenology. We used the asymmetric Gaussian method to fit the normalized difference vegetation index (NDVI) curve and then used the dynamic threshold method to extract the phenological parameters, including the start of the season (SOS), end of the season (EOS), and length of the season (LOS), of the vegetation in this study area in the Tundra-Tagar transitional zone in eastern and western Siberia from 2000 to 2017. The monthly temperature and precipitation data used in this study were obtained from the climate research unit (CRU) meteorological dataset. The degrees to which the changes in temperature and precipitation in the various months and their interactions affected the changes in the three phenological parameters were determined using the GeoDetector, and the results were explicable. The findings demonstrate that the EOS was more susceptible to climate change than the SOS. The vegetation phenology shift was best explained by the climate in March, April, and September, and the combined effect of the temperature and precipitation had a greater impact on the change in the vegetation phenology compared with the effects of the individual climate conditions. The results quantitatively show the degree of interaction between the variations in temperature and precipitation and their effects on the changes in the different phenological parameters in the various months. Understanding how various climatic variations effect phenology changes in plants at different times may be more intuitive. This research provides as a foundation for research on how global climate change affects ecosystems and the global carbon cycle.