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作 者:李永飞[1] 李春海[2] 徐柳园[3] 许斌[1] 庞有智[1]
机构地区:[1]内江师范学院地理与资源科学学院,四川内江641112 [2]中国科学院南京地理与湖泊研究所,南京210008 [3]上饶师范学院,江西上饶334001
出 处:《古生物学报》2017年第1期108-116,共9页Acta Palaeontologica Sinica
基 金:国家自然科学基金(41172151;41372183);四川省教育厅科研项目(17ZB0221);四川气象灾害预测预警与应急管理研究中心开放基金(ZHYJ16-YB04)联合资助
摘 要: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。In this paper 13 surface pollen samples from different communities are analyzed for relation- ships between vegetation and stomata, and bet- ween vegetation and pollen surface soil in Taibai Mountains. We have found that pollen assemb- lages of deciduous and coniferous forests seem to correspond very well with the incorporated characteristics of vegetational community, decidu- ous forest and conifer pollen assemblages may represent their communities moderately, and alpine meadows pollen assemblages are not well associated with their numerical characteristics of plant community. Pinus, Tsuga and BetuZa are over-represented, and Juglans and Ulmus are moderate representative, whereas Larix, Abies, Ericaceae and Acer are under-represented pollen taxa. In addition, DCA (Detrended Correspond- ence Analysis) is moderately effective in distingui- shing different plant communities, and can reflect accurately their vegetational characteristics with the help of stomata.
关 键 词:表土花粉 DCA分析 气孔器 花粉代表性 太白山
分 类 号:Q914[天文地球—古生物学与地层学]
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