关键词: 树木气候学, 树轮宽度, 气候变暖, 响应分析

Abstract: Under the background of climate warming, temperature rise has different effects on the growth of different trees in different regions, with consequence on the structure and function of forests. In this study, a standard treering width chronology was established for a dominant species Larix principis-rupprechtii in the Guancen Mountain. Pearson correlation analysis and sliding analysis were used to investigate the radial growth and climatic factor responses before and after abrupt warming. Before and after the abrupt change of temperature, the radial growth of L. principis-rupprechtii and its response to climatic factors were significantly different. Before the temperature abrupt change, radial growth of L. principis-rupprechtii was mainly affected by the minimum temperature in August and December of the previous year, the average temperature and maximum temperature in November of the current year, and the precipitation restrictions in March of the current year. After the temperature abrupt change, radial growth of L. principis-rupprechtii  was mainly affected by the minimum temperature in June of the previous year and current year, the temperature factors of each month in spring, the maximum temperature in October of the current year, the SPEI value in June of the previous year, January and February of the current year, and the precipitation in March of the current year. The long-term scale sliding analysis showed that after the period of 1993-2008, the increases of the monthly maximum temperature were conducive to the growth and development of L. principis-rupprechtii, the growth of which in January and February of current year was under drought stress. Under the background of climate warming, there was no differentiation between the radial growth of L. principis-rupprechtii and climate change trend, and the tree growth elasticity had been improved to a certain extent, which was conducive to the expansion of its distribution range.

Key words: dendroclimatology, tree-ring width, climate warming, response analysis.