Yang Jing-Wen, Zhang Qiu-Liang, Song Wen-Qi, Zhang Xu, Li Zong-Shan, Zhang Yuan-Dong, Wang Xiao-Chun
Center for Ecological Research, Key Laboratory of Sustainable Forest Ecosystem Management, Mini-stry of Education, College of Forestry, Northeast Forestry University, Harbin 150040, China.
College of Forestry, Inner Mongolia Agricultural University, Hohhot 010018, China.
Ying Yong Sheng Tai Xue Bao. 2021 Oct;32(10):3415-3427. doi: 10.13287/j.1001-9332.202110.005.
Daxing'an Mountains is one of regions in China with the most significant climate change. and var. are the most important species in this area. The study of their radial growth response to climate change would provide a scientific basis for predicting the dynamics of boreal forests under climate change. A total of 451 tree-ring cores of and var. were collected from six sites in the Daxing'an region, and 12 standard chronologies were established. We compared the tree growth trend since 1900, and analyzed their response to the climate factor in each site using Pearson correlation analysis. Effects of temperature and precipitation on the annual radial growth of and var. were investigated by linear mixed models. The time stability of the relationship between two species growth-climate was compared by moving correlation. The results showed that the radial growth of was negatively correlated with mean temperature in March and positively correlated with precipitation in the previous winter and July of current year. The radial growth of var. was positively correlated with temperature in August and precipitation in the growing season (from May to September) of current year. Snow in winter played an important role in promoting the radial growth of , whereas precipitation in summer limited the radial growth of var. The responses of and var. to climate change were significantly different, which affected tree growth, species composition, and spatial distribution in the boreal forests.
大兴安岭是中国气候变化最为显著的地区之一。兴安落叶松和樟子松变种是该地区最重要的树种。研究它们的径向生长对气候变化的响应，将为预测气候变化下北方森林的动态提供科学依据。从大兴安岭地区的六个地点共采集了451个兴安落叶松和樟子松变种的树轮芯样，并建立了12个标准年表。我们比较了自1900年以来的树木生长趋势，并使用Pearson相关分析来分析它们在每个地点对气候因子的响应。通过线性混合模型研究温度和降水对兴安落叶松和樟子松变种年径向生长的影响。通过移动相关分析比较了两个树种生长与气候关系的时间稳定性。结果表明，兴安落叶松的径向生长与3月平均气温呈负相关，与前一年冬季和当年7月的降水量呈正相关。樟子松变种的径向生长与8月气温和当年生长季（5月至9月）降水量呈正相关。冬季降雪对兴安落叶松的径向生长起重要促进作用，而夏季降水则限制了樟子松变种的径向生长。兴安落叶松和樟子松变种对气候变化的响应存在显著差异，这影响了北方森林的树木生长、物种组成和空间分布。
