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以神农架大九湖地区的地表和地层孢粉样本为例,采用经验正交函数(EOF)、多元回归和逐步回归方法对转换函数中孢粉因子对温度的敏感性进行了分析,讨论了孢粉因子的选取方法,并与其他相关研究工作进行了比较.结果表明,孢粉样本中乔本高等植物的孢粉含量较大,但对气候的敏感性相对较低、对气候环境的演变、特别是气候突变的响应较迟缓.而低等植物草本(蕨类)孢粉对温度变化的敏感性相对较高,对气候环境的突变响应迅速,能够较显著地同步记录气候变化过程中的极端事件.不同区域的孢粉样本所反映出的气候敏感性,在转换函数中的最优组合是不同的.逐步回归方法可以获得最大复相关系数和选出对气候环境变化最为敏感的孢粉因子及其组合,仍是建立孢粉气候因子转换函数的最有效方法之一.
Taking the surface and formation sporopollen samples in Shenjiu Dakuohu area as an example, the sensitivity of sporopollen factor to temperature in the transfer function was analyzed by Empirical Orthogonal Function (EOF), multiple regression and stepwise regression. The results showed that the higher pollen content of Qiao-Ben higher plants in sporopollen, but the lower the sensitivity to climate, the better of climate and environmental evolution, In particular, the response to climate abrupt changes is relatively slow, while the spores of lower plant herbs (ferns) are relatively sensitive to temperature changes and respond rapidly to sudden changes in climatic and environmental conditions, and can record the extremes of climate change more significantly Event.The climate sensitivity reflected by the sporopollen samples in different regions is different in the optimal combination of the transfer functions.The stepwise regression method can obtain the maximum complex correlation coefficient and select the pollen factor that is most sensitive to climate and climate changes And their combination is still one of the most effective ways to establish the transformation function of the spore-pollen climatic factor.