李月丛^1,2,,
丁国强^1,2,
王永³,
迟振卿³,
阳小兰^4,5,
李冰^1,2
1. 河北师范大学资源与环境科学学院, 河北 石家庄 050024
2. 河北省环境演变与生态建设重点实验室, 河北 石家庄 050024
3. 中国地质科学院地质研究所, 北京 100037
4. 河北省科学院地理科学研究所, 河北 石家庄 050011
5. 河北省地理信息开发应用工程技术研究中心, 河北 石家庄 050011

基金项目: 国家自然科学基金项目（批准号：41472157和41630753）和中国地质调查局项目（批准号：DD20160345）共同资助


详细信息

作者简介: 李月丛, 女, 52岁, 教授, 自然地理专业, E-mail:lyczhli@aliyun.com

中图分类号: Q948;P532

收稿日期:2018-03-06
修回日期:2018-04-25
刊出日期:2018-07-30

Early Pleistocene(2.6~2.1Ma) vegetation and climate changes in the Nihewan Basin

Li Yuecong^1,2,,
Ding Guoqiang^1,2,
Wang Yong³,
Chi Zhenqing³,
Yang Xiaolan^4,5,
Li Bing^1,2
1. College of Resource and Environmental Sciences, Hebei Normal University, Shijiazhuang 050024, Hebei
2. Key Laboratory of Environmental Change and Ecological Development of Hebei Province, Shijiazhuang 050024, Hebei
3. Institute of Geology, Chinese Academy of Geological Sciences, Beijing 100037
4. Institute of Geography Sciences, Hebei Academy of Science, Shijiazhuang 050011, Hebei
5. Hebei Engineering Research Center for Geographic Information Application, Shijiazhuang 050011, Hebei


MSC: Q948;P532

--> Received Date: 06 March 2018
Revised Date: 25 April 2018
Publish Date: 30 July 2018


摘要
摘要:文章通过泥河湾盆地郝家台NHA钻孔约33 m岩芯（15800~12500 cm，2.6~2.1 Ma）共165个样品的高分辨率孢粉分析，并结合古地磁定年和PCA分析结果，重建了该地区早更新世2.6~2.1 Ma时段的植被和气候环境演化过程。研究结果显示：1）2.60~2.47 Ma，孢粉组合以偏暖的松属（多高于40%）和喜冷湿的云杉属（多高于60%）交替占优为特点，PCA axis 1和axis 2得分值均较低，但变化剧烈，植被应为松林和云杉林交替占优，气候冷暖交替为特征。2.60~2.57 Ma和2.53~2.51 Ma为两个寒冷期，大体对应于MIS 102和MIS 100阶段；2.49~2.47 Ma为干旱期，大体对应于MIS 98阶段；2.57~2.53 Ma为研究段温暖湿润阶段。2）2.47~2.33 Ma时段，总体云杉花粉（多高于40%），蒿属、藜科等喜旱草本花粉（多高于20%）含量较高，PCA axis 1得分值较高，表明研究区当时植被类型主要为森林草原或云杉林，气候寒冷，其中2.47~2.42 Ma为研究段最寒冷干旱时期，大体对应于MIS 96阶段。3）2.33~2.14 Ma时段孢粉组合中松属花粉多高于50%，阔叶乔木花粉含量多高于5%，PCA axis 1和axis 2得分值均为研究段最低时期，显示植被为松与阔叶树的混交林，或两者呈斑块状分布，气候最为暖湿。但2.29~2.24 Ma阶段，PCA axis 1得分值明显升高，气候变冷，大体对应于MIS 88和MIS 86阶段。
关键词: 泥河湾盆地/
2.6~2.1 Ma/
孢粉组合/
主成分分析/
植被与气候变化

Abstract:In this paper, 165 samples for 33 m cores(15800~12500 cm, 2.6~2.1 Ma) from Haojiatai area in the Nihewan Basin was used for high-resolution pollen analysis. Sediment sample collection sites are located in the NHA borehole at Haojiatai, eastern part of the Nihewan Basin, Yangyuan County, Hebei Province. The drilling coordinates are 40°13'0.4″N, 114°38'32.3″E and 938 m a.s.l. Combined with the paleo-magnetic dating, vegetation and climate change process was reconstructed from 2.6 Ma to 2.1 Ma based on pollen assemblages and PCA analysis. The results showed that:1) During the period of 2.60~2.47 Ma, the pollen assemblages were characterized by high percentages Pinus(more than 40%) and high percentages of Picea(more than 60%) alternation and the PCA axis 1 and axis 2 scores fluctuated significantly, suggesting that the vegetation also should be the alternating of the pine forest and spruce forest, and climate changed serious. It was cold at 2.60~2.57 Ma and 2.53~2.51 Ma, which generally corresponding to MIS 102 and MIS 100, and it was cool and dry at 2.49~2.47 Ma, generally corresponding to MIS 98, but it was warm period at 2.57~2.53 Ma. 2) During the period of 2.47~2.33 Ma, the pollen assemblages were characterized by high percentages of Picea(more than 40%), Artemisia and Chenopodiaceae(more than 20%) and the scores of PCA axis 1 were high, indicating that the vegetation in the study area were dominated by forest-steppe or spruce forest, and the climate was cold and dry, especially at 2.47~2.42 Ma, which generally corresponding to MIS 96. 3) During the period of 2.33~2.14 Ma, the pollen assemblages are characterized by high percentage of Pinus (more than 50%), and high percentages of broadleaved trees(more than 5%) and PCA axis 1 and axis 2 scores had the most negative values, indicating that the vegetation is a mixed forest or patches distribution of pine and broad-leaved trees, and the climate was the warmest and wettest, while from 2.29 Ma to 2.24 Ma, PCA axis 1 score became much higher, suggesting the climate became cold, which generally corresponding to MIS 88 and MIS 86.
Key words:Nihewan Basin/
2.6~2.1 Ma/
pollen assemblage/
principal component analysis/
vegetation and climate change



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