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A transfer-function model developed from an extensive surface-pollen data set in northern China and its potential for palaeoclimate reconstructions

Lookup NU author(s): Professor Takeshi Nakagawa

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Abstract

A total of 237 surface soil pollen samples were collected from less disturbed zonal communities, and a new surface pollen data set has been established in northern China. Pollen-climate parameter transfer functions using weighted-averaging regression and calibration partial least squares (WA-PLS) model as a tool to reconstruct past climate changes from pollen data, were tested with this new surface pollen data set. The results of cross-validation showed that the method worked very well with precipitation (R = 0.94, R 2jack = 0.89, RMSEPjack = 69 mm, the safe dynamic range of the reconstruction was 40 mm∼800 mm) and worked well with temperature (Tann: R = 0.84, R2jack = 0.71, RMSEPjack = 2.0°C, the safe dynamic range of the reconstruction was -4°C∼13°C; MTwa: R = 0.79, R2jack = 0.63, RMSEPjack = 2.5°C, and the safe dynamic range of the reconstruction was 8°C∼26°C), indicating that the surface pollen data set and WA-PLS reconstruction technique in this paper have strong potential for palaeoclimatic reconstruction. © 2007 SAGE Publications.

Publication metadata

Author(s): Li Y, Xu Q, Liu J, Yang X, Nakagawa T

Publication type: Article

Publication status: Published

Journal: Holocene

Year: 2007

Volume: 17

Issue: 7

Pages: 897-905

Print publication date: 01/11/2007

ISSN (print): 0959-6836

ISSN (electronic): 1477-0911

URL: http://dx.doi.org/10.1177/0959683607082404

DOI: 10.1177/0959683607082404

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