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Pollen assemblages and their environmental correlates during the past 200 years inferred from sediments records in a shallow lake

机译:花粉组合及其环境相关在过去200年中,从浅湖中的沉积物记录推断出来

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Pollen profiles based on sediments taken from Baiyangdian Lake were used to analyze vegetation type alternation during the past 200 years. The pollen record suggests changes occur during two different time frames. The period before 1863 showed that the climate was dry and the lake was in its adolescence, thereafter the climate turned wet and temperate. Pollen diversity, which is largely influenced by water transportation, shows that the water surface area of Baiyangdian has been shrinking. Analysis of the historical pollen-environment correlation showed LOI, C/N and silt content play more essential roles on pollen assemblages than other sediment parameters through RDA (redundancy analysis) ordination method. Meanwhile CCA (Canonical Correspondence Analysis) analysis demonstrated that water level has a closer relationship with aquatic herbaceous pollen, such as Myriophyllum and Phragmites; however, temperature is coincident with tree pollen. The richness of pollen assemblages, compared with evenness, is more likely to be affected by fluctuations of water level and temperature. Furthermore, in Baiyangdian Lake, precipitation tends to be more abundant when extreme temperature becomes lower annually.
机译:基于Baiyangdian湖的沉积物的花粉型材用于过去200年来分析植被类型交替。花粉记录表明在两个不同的时间框架中发生变化。 1863年之前的时期表明,气候干燥,湖泊在其青春期,此后的气候变为湿润和温带。花粉多样性在很大程度上受到水运输的影响,表明白阳迪的水表面积一直在萎缩。历史花粉环境相关的分析显示LOI,C / N和淤泥含量在花粉组合上发挥比通过RDA(冗余分析)排序方法的其他沉积物参数更具必要的作用。同时CCA(规范对应分析)分析表明,水位与水生草本花粉的关系更紧密,例如脊髓植物和芦苇;然而,温度与树花粉一致。与均匀度相比,花粉组合的丰富性更可能受水位和温度波动的影响。此外,在白阳湖,当极端温度每年变低时,降水量往往更加丰富。

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