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孢粉分析是研究过去全球变化的一种重要方法,而研究花粉与现代气候之间的相互关系是古气候定量重建研究中的前沿课题。要预测未来气候的中长期变化,必须从花粉记录中定量提取古气候信息,建立的多种孢粉-气候数学模型必须经过不同边界条件下的古气候数据检验校正才能应用到实际当中。花粉-气候响应面方法是考虑了花粉与气候间的非线形关系上,提出的将现代花粉丰度在地理空间的分布转换为气候空间的分布,并以提供定量的古气候数据,已被广泛应用于COHMAP等各种重要古气候研究项目。本文就是利用该方法,以青藏高原东北部共和盆地达连海湖泊流域54个表土样品中的花粉丰度及采样点的气候参数为基础数据,通过主成分分析选择了特征值高且指示意义明显的4种花粉类型,对其丰度与7月平均温度及年平均降水量两个气候参数进行多项式回归分析,其结果显示模型对数据拟合较好,为定量重建该区古气候变化提出了较为准确的数量指标。
Pollen analysis is an important method to study past global changes. Studying the interrelationship between pollen and modern climate is a frontier subject in the quantitative climate reconstruction of paleoclimate. In order to predict the long-term changes of the future climate, the paleoclimate information must be extracted quantitatively from the pollen record. Many kinds of spore-pollen have been established. The climatic mathematic model must be tested and corrected by the paleoclimate data under different boundary conditions before being applied to practice. The pollen-climate response surface method takes into account the non-linear relationship between pollen and climate and proposes to convert the distribution of modern pollen abundance in geospatial space into a distribution of climate space and to provide quantitative paleoclimate data that has been widely used Used in COHMAP and other important ancient climate research projects. Based on the pollen abundance and the climatic parameters of sampling points in 54 topsoil samples collected from the Dalianhai lake basin in the communal basin in the northeastern Qinghai-Xizang Plateau, this paper selects the climatic parameters with high eigenvalue and significant indication The results showed that the model fitted the data better and proposed a quantitative reconstruction of the paleoclimate in the area More accurate quantitative indicators.