[目的]研究云南哀牢山中山湿性常绿阔叶林阔叶落叶树种水青树年轮宽度与气候因子关系,以期为进一步重建我国西南亚热带地区过去气候变化历史提供基础数据,为全球变化背景下水青树的分布和保护研究提供理论依据.[方法]1)用生长锥采集水青树样芯样品后,测量年轮宽度,并进行交叉定年;2)然后利用负指数和样条函数的方法去除生长趋势,最终完成标准年表的制作;3)将标准年表与景东地区的气候要素进行相关分析.[结果]水青树年轮宽度年表与当年2和6月的平均气温和极端最高气温显著正相关(P＜0.05),与当年2月的日照时数显著正相关(P＜0.05),而与当年2和3月的空气相对湿度极显著相关(P＜0.01);影响水青树径向生长的气候因素很多,生长季前期的气象要素是影响水青树径向生长的主要因素.[结论]在温暖潮湿的亚热带森林,水青树生长仍具有明显的季节性,利用其年轮研究种群生长动态及其与气候变化的关系具有很大潜力.%The relationship between tree-width of Tetracentron sinense and climate factors in the humid evergreen broad-leaved forest in the middle Ailao Mountains was studied in order to explore the potential for reconstructing climate change in the past and to provide a theoretical basis for modelling species distribution and conservation of T.sinense in the context of global climate change.[Methods] Increment cores of T.sinense were collected by increment borer,and tree ring-width was measured with standard dendrochronological techniques.Each tree-ring measurement was assigned to the year of its formation with cross-dating techniques,and then tree-ring series were detrended with negative exponential curve and cubic spline function.The resulting standard chronology was correlated with monthly climatic data from Jingdong meteorological station.[Results] Analysis of tree ring-width chronology and climate factors showed that the radial growth of T.sinense was significantly correlated with mean temperature and extreme high temperature of February and June in the year (P＜0.05).Moreover,ring-width chronology showed significant positive correlation with the number of hours of sunlight (P ＜0.05),but negative correlation with relative humidity of February and March (P ＜ 0.01).Our study demonstrated that multiple climatic factors influenced the radial growth,and the climatic conditions during the early growing season is crucial for the growth of T.sinense.[Conclusion] This study showed that T.sinense in the warm and humid subtropical forests produce distinct and cross-datable annual growth rings.Tree ring-width chronology of T.sinense can reveal considerable climate information,which has high potential for reconstructing past climate change in the study area.
展开▼
