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通过陕西太白山13个样点表土花粉组合特征和气孔器及其与植物类型之间关系的分析,结果发现:针阔混交林花粉组合能很好地反映植物类型特征,落叶阔叶林和针叶林花粉组合能较好地与植物类型相对应,高山灌丛草甸花粉组合未能反映植物类型数量特征;主要花粉类型松属、铁杉属和桦属花粉具超代表性,胡桃属和榆属花粉具适宜代表性,落叶松属、冷杉属、杜鹃花科和槭属花粉具低代表性;DCA(Detrended Correspondence Analysis)分析表明,通过花粉数据能够较好区分不同植被类型,结合气孔器特征能够准确反映植被特征。
The results showed that the pollen assemblages in the coniferous and broad-leaved mixed forest can well reflect the plant type characteristics, the deciduous broad-leaved forest and the needle The pollen assemblages of Yehlin better corresponded to the plant types, and the pollen assemblages of the Alpine shrub meadow did not reflect the quantitative characteristics of plant types. The main pollen types of Pinus, Hemlock and Betula pollen were super-representative, Ulmus pollen has the suitable representation, and Larch, Abies, Azalea and Acer Asiatic pollen have low representation. Analysis by Detrended Correspondence Analysis (DCA) shows that different types of vegetation can be distinguished by pollen data, Features accurately reflect vegetation characteristics.