青藏高原表土孢粉定量重建的气候参数探讨
投稿时间:2016-10-17  修订日期:2017-02-01  点此下载全文
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作者单位E-mail
王芳芳 青海师范大学,生命与地理科学学院,青海西宁 wff0207@163.com 
侯光良 青海师范大学,青海省自然地理与环境过程重点实验室,青海西宁 hgl20@163.com 
侯小青) 青海师范大学,生命与地理科学学院,青海西宁  
王青波) 青海师范大学,生命与地理科学学院,青海西宁  
基金项目:国家自然科学基金项目(面上项目,重点项目,重大项目)
中文摘要: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,既可以定性的恢复过去的植被类型变化和也能定量的重建气候变化规律,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496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。
中文关键词:青藏高原  表土孢粉  气候参数  定量重建
 
Climate Parameters Research of Quantitative Reconstruction Based on Surface Pollen in Qinghai-Tibet Plateau
Abstract:The pollen has important value in palaeoevirormental research,especially in the field of the paleoclimate reconstruction. It can qualitatively restore paleovegetation type and reconstruct the climate rhythms. It is the most common, reliable and mature environmental substitute index in the paleoclimate research. Modern Analogue Technique has extensive applicability and is one of the methods to study the relationship between surface pollen and climate. The article selects 495 surface pollen spectrum in Qinghai-Tibet Plateau and its adjacent areas and the measurement data by meteorological stations. Then, we calculated the Pearson"s correlation coefficients between the observed values from the meteorological stations and the reconstructed value using the Polygon software. Results indicate that the annual average precipitation correlation was significant correlation (r=0.894), the lowest was aridity index (r=0.18), and relative humidity(r=0.863), The annual average evaporation(r=0.801). Therefore, the annual average precipitation was higher credibility; relative humidity and the annual average evaporation were a certain credibility in paleoclimate reconstruction. we calculated the relationship between the 11 pollen taxa and the annual average precipitation, then choose the pollen taxas with better correlation coefficient to establish the pollen-climate model between the pollen assemblages and the annual average precipitation in order to reconstruct the paleoclimate change in this region.
keywords:Qinghai-Tibet Plateau  Surface pollen  Climate parameters  Quantitative Reconstruction
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