摘要
利用树木年轮学基本原理和方法,研究了福建省戴云山台湾松（Pinus taiwanensis）径向生长模式以及与气候的相关关系,戴云山是台湾松在大陆分布的最南界。前人研究了区域树轮对气候变化的线性相关关系,本研究进一步计算了基面积年增量年表BAI年表,并基于人工神经网络模型研究了戴云山台湾松径向生长与气候的线性和非线性关系。模拟结果显示台湾松径向生长与温度和降水存在一定的非线性特征,其线性关系只在一定阈值内成立,比如降水在大约40~270 mm之间呈现线性关系。台湾松BAI年表与气候因子相关分析表明,区域5—10月份平均温度引起的季节性干旱是台湾松径向生长的主要限制因子,其相关系数达-0.64。研究对于进一步理解戴云山地区台湾松生长对未来气候变化可能的非线性响应关系有重要意义。
According to the standard dendrochronological methods and principles, we used the tree- ring samples of Pinus taiwanens in Daiyun Mountain in Fujian province to investigate growth patterns and relationships with climate. Sample sites are located in the most southern part of Pinus taiwanens distribution in China's Mainland. Linear relationship investigations have been conducted for our study region in previous studies. In this study, using the Artificial Neural Network method, we stimulated Basal Area Increment chronology and further studied the linear and nonlinear relationships between tree-ring growth and climate. Simulated results show that there are certain nonlinear relationships be-tween the growth of Pinustaiwanens and temperature or precipitalion, be realize Correlatio is mainly d only in given thresh n analysis between th ohls.
出处
《亚热带资源与环境学报》
2016年第1期44-51,共8页
Journal of Subtropical Resources and Environment
基金
国家自然科学基金项目(U1405231
41471172
41171039)
福建省杰出青年基金项目(2015J06008)
关键词
树木年轮
台湾松
戴云山
非线性关系
tree ring
Daiyun Mountain
Pinus taiwanens
nonlinear relationships
