J Integr Plant Biol. ›› 1983, Vol. 25 ›› Issue (4): -.

• Research Articles •    

Paleovegetation and Paleoclimate in the Past 20,000 Years in Jiaozhou Bay, Qingdao District

Wang Yong-ji and Li Shan-wei   

Abstract: The spore-pollen assemblages collected from drilling cores in Jiaozhou Bay, Qingdao district, are analyzed in this paper. We have ascertained paleovegetation and paleodimate since last 20000 years in the studied district. It is concluded that development process can be devided into six stages, each stage has its corresponding characteristics on paleovegetation and paleoclimate. These stages are listed as follows: ( 1 ) Vegetation was mainly herbaceous plants and climate was cold and dry during 20000–13000 years B P (2) During 13000– 11000 years B P, there was a little conifer forest and herbaceous plants, in which aquatic and weter plants were relatively richer in quantities, climate was mild and wet. (3) During 11000–8500 years B P there was a little conifer and broadleaved forest and herbaceous plants, climate was mild and slightly dry. (4)During 8500–5000 years B P broadleaved trees were predominant but mixed with conifer forest, climate was warm and wet. (5) During 5000–2500 years B P conifer trees were predominant but mixed with broadleaved trees and herbaceous plants, climate was mild and slightly dry. (6) From 2300 years B P to present, we can further divide this stage into two periods, the preceding period and the late period. In the preceding period, vegetation was composed by conifer and broadleaved trees and herbaceous plants, climate was warm and wet; while conifer trees (including a little broadleaved trees) were prevailed in the late period, climate was mild and wet. As a result, we have concluded that the general tendency of climate variation for the studied district is consistent with North China and East China one, but there still exists a little differences. The authors suggest that the time limit between Pleistocene and Holocene should be demarcated at 11000 years B P owing to sharply increasing temperature for the studied district.

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