青藏高原表土孢粉定量重建的气候参数探讨

发布时间：2018-09-11 11:13

【摘要】：孢粉在古环境研究中具有重要价值,尤其是在重建古气候方面,既可以定性地恢复过去的植被类型变化,也能定量地重建气候变化规律,是古气候研究中最常用、较可靠和较成熟的环境代用指标。现代类比法是探讨表土孢粉与气候定量关系的方法之一,适用性较为广泛。本文利用青藏高原及其毗邻地区495个现代表土样点的孢粉谱,及现代气象站点器测资料,采用现代类比法得到气候参数的模拟值,并分析模拟值与气候参数观测值之间的关系。结果表明:相关性最高的气候因子是年均降水(r=0.894),其次为年均相对湿度(r=0.863)和年均蒸发量(r=0.801),最低的是干燥度(r=0.18)。因此在重建古气候时降水的可信度较高,相对湿度和蒸发量也具有一定的可信度。并选用相关性较好的年均降水指标,分析其与11个孢粉类型之间的相关性,然后将相关性较高的孢粉组合与降水之间建立孢粉-气候函数模型,用以重建该地区过去气候变化。
[Abstract]:Sporopollen is of great value in paleoenvironmental research, especially in the reconstruction of paleoclimate. It is the most commonly used in paleoclimate research, which can not only qualitatively restore the changes of vegetation types, but also quantitatively reconstruct the laws of climate change. More reliable and mature environmental substitute index. The modern analogy method is one of the methods to study the quantitative relationship between the surface soil sporopollen and climate. In this paper, using the sporopollen spectrum of 495 soil samples in the Qinghai-Xizang Plateau and its adjacent areas, and the data of modern meteorological stations, the simulated values of climate parameters are obtained by modern analogy method, and the relationship between the simulated values and the observed values of climate parameters is analyzed. The results showed that the most relevant climatic factors were annual precipitation (r ~ (0.894), annual relative humidity (r ~ (0.863) and annual evaporation (r ~ (0.801), and the lowest was dryness (r ~ (0.18). Therefore, the credibility of precipitation is high, and the relative humidity and evaporation also have some credibility in the reconstruction of paleoclimate. The correlation between the annual precipitation index and 11 pollen types was analyzed, and then the sporopollen climate function model was established between the highly correlated sporopollen combination and precipitation to reconstruct the past climate change in this area.
【作者单位】：青海师范大学生命与地理科学学院;青海师范大学青海省自然地理与环境过程重点实验室;
【基金】：青海省科技厅自然科学基金项目(编号:2017-ZJ-903) 国家自然科学基金项目(编号:41550001)联合资助~~
【分类号】：P532;Q914

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