Abstract Since the inception of pollen analysis, climatic reconstruction using fossil pollen records has been one of its major applications. However, modern pollen-climate relationships have been mainly established using surface soil pollen assemblages (including moss cushions and trap samples), and pollen assemblages from the surface sediments of lakes (and peatlands) have been used less frequently. Previous studies have indicated that surface soil pollen assemblages are derived from a single (local) plant community, with an additional contribution from the regional vegetation, whereas pollen assemblages from the surface sediments of lakes are derived from multiple plant communities within the watershed. This may lead to substantial uncertainties in the application of surface soil pollen assemblages to establishing pollen-climate relationships for use in paleoclimate reconstructions using fossil pollen records from lake sediment cores. Here, we present a novel procedure for quantitative regional paleoclimatic reconstruction using a regional integration method which attempts to resolve mismatches between surface soil pollen assemblages and surface lake sediment pollen assemblages. Principal Co-ordinates Analysis (PCoA) of pollen assemblages from surface lake sediments and surface soils, and regional integrated pollen assemblages indicates that the composition of regional integrated pollen assemblages and surface lake sediment pollen assemblages is very similar. However, the integrated optimal scales of surface soil pollen assemblages are various between different lakes. Based on the regional integrated pollen dataset, reconstructed mean annual temperature and annual precipitation for different lakes in North China are close to modern observations, suggesting that the dataset has great potential for quantitative regional paleoclimatic reconstruction.

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一种利用表面花粉组合进行定量区域古气候重建的新方法

摘要 自花粉分析出现以来，利用化石花粉记录进行气候重建一直是其主要应用之一。然而，现代花粉-气候关系主要是使用表层土壤花粉组合（包括苔藓垫和陷阱样本）建立的，而来自湖泊（和泥炭地）表层沉积物的花粉组合则较少使用。先前的研究表明，表层土壤花粉组合来自单个（本地）植物群落，区域植被有额外的贡献，而湖泊表层沉积物的花粉组合来自流域内的多个植物群落。这可能导致应用表层土壤花粉组合来建立花粉-气候关系以用于利用来自湖泊沉积物核心的化石花粉记录进行古气候重建的大量不确定性。在这里，我们提出了一种使用区域整合方法进行定量区域古气候重建的新程序，该方法试图解决表层土壤花粉组合和表层湖泊沉积物花粉组合之间的不匹配问题。来自表层湖泊沉积物和表层土壤的花粉组合和区域综合花粉组合的主坐标分析 (PCoA) 表明区域综合花粉组合和表层湖泊沉积物花粉组合的组成非常相似。然而，不同湖泊之间表层土壤花粉组合的综合最优尺度存在差异。基于区域综合花粉数据集，重建的华北地区不同湖泊年平均气温和年降水量与现代观测值接近，表明该数据集具有巨大的区域古气候定量重建潜力。