Quantitative relationships between vegetation and several pollen taxa in surface soil from North China
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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.
Keywordspollen taxa in surface soil vegetation regression parameters (slope term and y-intercept term) re-presentation Northeast China Transect (NECT)
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- 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
- 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.Du, R. Q., Biostatislics (in Chinese). Beijing: China Higher Education Press, 1999, 11–18.Google Scholar
- 8.Birks, H. J. B., Gordon, A. D., Numerical Methods in Quaternary, London: Academic Press, 1985, 197–204.Google Scholar