Pollen–vegetation–climate relationships in some desert and desert-steppe communities in northern China
Pollen–vegetation–climate relationships in some desert and desert-steppe communities in northern China
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DOI：
10.1177/0959683611400202
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发表时间：
2011-04
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影响因子：
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通讯作者：
Yuecong Li;M. Bunting;Qinghai Xu;Suxue Jiang;W. Ding;Lingyun Hun
中科院分区：
文献类型：
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作者：
Yuecong Li;M. Bunting;Qinghai Xu;Suxue Jiang;W. Ding;Lingyun Hun
本文利用表土样品和花粉捕获器样品研究了中国北方荒漠和荒漠草原区花粉组合与植被和气候的关系。判别分析表明，来自不同气候或地理区域的样品可以可靠地分离花粉组合的基础上，无论样品类型。DCCA分析表明，表土花粉组合与气候参数有显著的相关性。DCCA轴1与最温暖月份的平均温度（MTwa; r =-0.58）呈负相关，而轴2与年平均降水量（Pann; r =-0.73）呈正相关。沙漠地区的蒿属与藜科植物的比例一般低于荒漠草原地区。花粉生产力相对于藜科（RChenopodiaceae）估计使用最小二乘线性回归花粉流入数据对植被数据和ERV模型分析的百分比花粉数据对植被数据。无论数据集或分析方法如何，藜科植物的等级顺序都是一致的。蒿属具有大于3的R藜科值，而R藜科白刺约为0.1，R藜科禾本科低于0.1。研究结果为定量重建亚洲干旱半干旱地区古植被和古气候提供了有用的信息。
In this paper, we consider the relationship between pollen assemblages, vegetation and climate in some desert and desert-steppe areas in northern China using both surface soil samples and pollen trap samples. Discriminant analysis shows that samples originating from different climatic or geographical regions can be separated reliably on the basis of pollen assemblage regardless of sample type. DCCA analysis indicates that surface soil pollen assemblages show significant correlations with climate parameters. DCCA Axis 1 is negatively correlated with the mean temperature in the warmest month (MTwa; r = −0.58), whilst axis 2 is positively correlated with mean annual precipitation (Pann; r = −0.73). Artemisia-to-Chenopodiaceae ratios are generally lower in desert areas than in desert-steppe areas. Pollen productivity relative to Chenopodiaceae (RChenopodiaceae) was estimated using least-squares linear regression of pollen influx data against vegetation data and ERV model analysis of percentage pollen data against vegetation data. Rank order of RChenopodiaceae is consistent regardless of data set or analysis method. Artemisia has RChenopodiaceae values greater than 3, whilst RChenopodiaceae Nitraria is around 0.1 and RChenopodiaceae Poaceae is below 0.1. Our results provide useful information for quantitative reconstructions of paleovegation and paleoclimate in arid or semi-arid Asia.