论文部分内容阅读
借鉴地质趋势面和生态响应面的方法,考虑到中国北方特殊的气候与植被状况,进行了表土花粉丰度与气候参数(年均降水量和7月均温)之间的非线性函数方程即花粉-气候响应面模型的研究。并从实际出发,选择了分布较广、生态指示意义较大的松属(Pinus)、桦木属(Betula)、栎属(Quercus)和云杉属(Picea)等木本植物,依数据变换方式的不同,共采用了22种建模方案来建造它们的花粉-气候响应面模型。通过对模型方程进行质量检验,选择质量最优的建模方案建模,结果表明模型对数据拟合较好,可用于中国北方定量重建古环境的研究工作中。
Using the method of geo-trend surface and ecological response surface, considering the special climate and vegetation condition in northern China, the nonlinear function equation between pollen abundance of surface soil and climatic parameters (average annual precipitation and average temperature in July), ie Study on Pollen - Climate Response Surface Model. Based on the actual situation, the woody plants Pinus, Betula, Quercus and Picea, which are widely distributed and ecologically sensitive, were selected. According to the data transformation method , A total of 22 modeling options were used to construct their pollen-climate response surface model. The quality of the model equation was checked and the best quality modeling scheme was selected. The results showed that the model fitted well to the data and could be used in the quantitative reconstruction of paleoenvironment in northern China.