Chinese Science Bulletin

, Volume 45, Issue 16, pp 1519–1523 | Cite as

Quantitative relationships between vegetation and several pollen taxa in surface soil from North China

  • Yiyin Li
  • Xinshi Zhang
  • Guangsheng Zhou


According to the vegetation investigation and pollen analysis of surface samples sampled along a precipitation gradient of the Northeast China Transect (NECT), several pollen taxa, includingPinus, Betula, Quercus, Tilia, Acer, Ulmus, Artemisia, Chenopodiaceae, Gramineae and Cyperaceae, were chosen to make the regression and correlation analyses. The results indicated that there exists a close relationship between vegetation and pollen taxa in surface samples. The regression parameters for ten taxa in the forests in the eastern part of NECT were different from those in the steppes in the western part.Pinus, Betula, Artemisia and Chenopodiaceae, which have large slope and y-intercept terms, were over-representative taxa.Acer, Gramineae and Cyperaceae, which have small slope andy-intercept terms, were under-representative taxa.Quercus, Tilia andUlmus whose slope terms have negative correlation withy-intercept terms were equi-representative taxa. The pollen taxa with large slope or largey-intercept terms have small variability coefficients, implying that the slope andy-intercept terms for these pollen taxa are of high accuracy in the estimation of plant abundance from pollen frequencies.


pollen taxa in surface soil vegetation regression parameters (slope term and y-intercept term) re-presentation Northeast China Transect (NECT) 


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.


  1. 1.
    COHMAP members. Climatic changes of (he last 18000 years: Observations and model simulations, Science, 1988, 241: 1043.CrossRefGoogle Scholar
  2. 2.
    Webb, T. III, Howe, S. E., Bradshaw, R. H. W. et al., Estimating plant abundance from pollen percentage: the use of regression analysis. Review of Palaeobotany and Palynology, 1981, 34: 269.CrossRefGoogle Scholar
  3. 3.
    Bradshaw, R. H. W., Webb, T. III, Relationships between contemporary pollen and vegetation data from Wisconsin and Michigan. USA. Ecology, 1985, 66: 721.CrossRefGoogle Scholar
  4. 4.
    Li, W. Y., Yao, Z. J., A study on the quantitative relationship betweenPinus pollen in surface sample andPinus vegetation, Acta Botanica Sinica (in Chinese), 1990, 32(12): 943.Google Scholar
  5. 5.
    Stephen, T. J., Jennifer, B. K., Quantitative representation of local forest composition in forest-floor pollen assemblages. Journal of Ecology. 1998, 86: 474.CrossRefGoogle Scholar
  6. 6.
    Zhang, X. S., Gao, Q., Yang, D. A. et al., A gradient analysis and prediction on the Northeast China Transect (NECT) for global change study, Acta Botanica Sinica (in Chinese), 1997, 39(9): 785.Google Scholar
  7. 7.
    Du, R. Q., Biostatislics (in Chinese). Beijing: China Higher Education Press, 1999, 11–18.Google Scholar
  8. 8.
    Birks, H. J. B., Gordon, A. D., Numerical Methods in Quaternary, London: Academic Press, 1985, 197–204.Google Scholar

Copyright information

© Science in China Press 2000

Authors and Affiliations

  1. 1.Department of Urbon and Environmental SciencesPeking UniversityBeijingChina
  2. 2.Laboratory of Quantitative Vegetation Ecology, Institute of BotanyChinese Academy of SciencesBeijingChina
  3. 3.School of Urban and Environmental SciencesNortheast Normal UniversityChangchunChina

Personalised recommendations