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Pollen assemblage characteristics of lakes in the monsoon frinse area of China
  • ISSN号:1000-0240
  • 期刊名称:《冰川冻土》
  • 时间:0
  • 分类:P46[天文地球—大气科学及气象学]
  • 作者机构:[1]College of Resources and Environmental Sciences, Hebei Normal University, Shijiazhuang 050016, China, [2]Hebei Key Laboratory of Environmental Change and Ecological Construction, Shijiazhuang 050016, China, [3]Key Laboratory of Western China's Environmental System (Ministry of Education)i Lanzhou University, Lanzhou 730000, China
  • 相关基金:Supported by the Preliminary Special Foundation for National Basic Research Program of China (Grant No. 2003CCA01800), the Major Program of National Natural Science Foundation of China (Grant No. 40730103), National Natural Science Foundation of China (Grant Nos. 40571166 and 40672107), the Master Foundation Ministry of Education (Grant No.20050094004), Hebei Special Foundation for Ph.D (Grant No. 06547006-3) and Hebei Foundation for the Key Subject Construction of University
中文摘要:

这篇论文在中国的季风穗区域从 4 个湖(代海湖,洪贾瑙湖,胡伦瑙湖和迪尤考瑙湖) 从 108 件表面沉积样品论述花粉集合。Artemisia, Chenopodiaceae, Poaceae 和 Compositae 是的植物花粉税 4 个湖和 Pinus, Betula, Quercus, Ulmus, Populus, Ostryopsis 和 Elaeagnaceae 的花粉集合的主要部件经常被介绍,它反映地区性、本地的植被很好。为从代海湖,洪贾瑙湖,胡伦瑙湖和迪尤考瑙湖的样品的吝啬的类似系数是 0.66 ± 0.17 , 0.71 ± 0.11 , 0.73 ± 0.12 和 0.67 ± 0.12 分别地,花粉集合因此在每个湖是相对一致的,它证明集中并且混合的效果发生在花粉免职前后。然而,花粉集合确实在每个湖在采样地点之间不同。最大的差别在代海湖被看见,由迪尤考瑙湖,胡伦瑙湖和洪贾瑙湖列在后面(吝啬的欧几里德几何学的距离是 20.09 ± 11.11, 11.22 ± 3.64, 10.67 ± 4.03 和 8.44 ± 4.51 分别地) 。这些差别被集中并且混合效果,花粉来源区域,排水区域和地区性的植被作文的差别可能引起。代海湖和洪贾瑙湖让比 5 m 和强壮的重新暂停深的水,集中并且混合效果发生在湖岸和浅水区域,在花粉集中比在更深的湖区域低的地方。在胡伦瑙湖和迪尤考瑙湖,与深度,不到 5 m,重新暂停和混合效果越过整个湖区域是明显的,因此花粉集合和花粉集中在在每个湖的采样地点之中是更一致的。在花粉集合的一致性是明显的的地方,在来自 inflowing 河的湖样品和样品之间的比较表明风是在洪贾瑙湖的主要花粉交通力量,当在花粉输入被水运的来源统治的湖有更大的变化时。

英文摘要:

This paper presents the pollen assemblages from 108 surface sediment samples from 4 lakes (the Lake Daihai, Lake Hongjiannao, Lake Hulunnao and Lake Duikounao) in the monsoon fringe area of China. The herb pollen taxa Artemisia, Chenopodiaceae, Poaceae and Compositae are the major components of pollen assemblages of the 4 lakes and Pinus, Betula, Quercus, Ulmus, Populus, Ostryopsis and Elaeagnaceae are frequently presented, which reflect regional and local vegetation well. The mean similarity coefficients for samples from the Lake Daihai, Lake Hongjiannao, Lake Hulunnao and Lake Duikounao are 0.66±0.17, 0.71±0.11,0.73±0.12 and 0.67±0.12 respectively, so pollen assemblages are relatively consistent in each lake, which shows that focusing and mixing effects have occurred before and after pollen deposition. However, pollen assemblages do differ between sampling sites in each lake. The largest difference is seen in the Lake Daihai, followed by the Lake Duikounao, Lake Hulunnao and Lake Hongjiannao (The mean Euclidean distance is 20.09 ± 11.11, 11.22 ± 3.64, 10.67 ± 4.03 and 8.44 ± 4.51 respectively). These differences are possibly caused by the differences of focusing and mixing effects, pollen source areas, drainage areas and regional vegetation compositions. The Lake Daihai and Lake Hongjiannao have water deeper than 5 m and strong re-suspension, focusing and mixing effects occur in the lakeshore and shallow water areas, where pollen concentrations are lower than in deeper lake areas. In the Lake Hulunnao and Lake Duikounao, with depths less than 5 m, re-suspension and mixing effects are obvious across the whole lake area, so pollen assemblages and pollen concentrations are more consistent among sampling sites in each lake. Comparison between the lake samples and samples from the inflowing river reveals that wind is primary pollen transportation force in the Lake Hongjiannao, where the consistency of pollen assemblage is conspicuous, while there is greater variation in lakes where pollen input is do

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期刊信息
  • 《冰川冻土》
  • 北大核心期刊(2011版)
  • 主管单位:中国科学院 寒区旱区环境与工程研究所
  • 主办单位:中国地理学会 中国科学院寒区旱区环境与工程研究所
  • 主编:程国栋
  • 地址:兰州市天水中路8号
  • 邮编:730000
  • 邮箱:edjgg@lzb.ac.cn
  • 电话:0931-8260767
  • 国际标准刊号:ISSN:1000-0240
  • 国内统一刊号:ISSN:62-1072/P
  • 邮发代号:54-29
  • 获奖情况:
  • 中国自然科学核心期刊,第二届全国优秀地理期刊,甘肃省优秀地理期刊,中国期刊方阵“双效”期刊
  • 国内外数据库收录:
  • 美国地质文献预评数据库,美国剑桥科学文摘,日本日本科学技术振兴机构数据库,中国中国科技核心期刊,中国北大核心期刊(2004版),中国北大核心期刊(2008版),中国北大核心期刊(2011版),中国北大核心期刊(2014版),中国北大核心期刊(2000版)
  • 被引量:17974