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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

Bibliographic Data

ID12265693
AuthorsYuecong Li (0000-0002-9789-4367, Hebei Normal University), Qinghai Xu (0000-0003-2518-3520, Hebei Normal University, corresponding author), Jinsong Liu (0000-0003-0812-2099, Hebei Normal University), Xiaolan Yang (0000-0003-4189-0882, Hebei Institute of Geography, Shijiazhuang, 050011, PR China), Takeshi Nakagawa (0000-0001-5533-3169, Department of Geography, University of Newcastle, Newcastle upon Tyne NE17RU, UK)
Year2007
Volume17
Issue7
Pages897-905
Publication date2007-11-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueThe Holocene (JOURNAL)
Journal identifiersISSN: 0959-6836 • E-ISSN: 1477-0911
PublisherSAGE Publishing (PUBLISHER • US)
DOI10.1177/0959683607082404
OpenAlexW2035788645
LanguageEN
Citations received10
References cited22

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 2 jack = 0.89, RMSEP jack = 69 mm, the safe dynamic range of the reconstruction was 40 mm~800 mm) and worked well with temperature ( T ann : R = 0.84, R 2 jack = 0.71, RMSEP jack = 2.0°C, the safe dynamic range of the reconstruction was −4°C~13°C; MT wa : R = 0.79, R 2 jack = 0.63, RMSEP jack = 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

Biology · Botany · Calibration · Data set · Geography · Meteorology · Partial least squares regression · Pollen · Precipitation · Range (aeronautics · Statistics · Environmental Science · Geology and Paleoclimatology Research · Landslides and related hazards · Materials Science · Mathematics · Tree-ring climate responses · Geology

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Unique citing works10
Citations per year0,59
Citation span2009 - 2023 (15)
Citation velocityhistorical
Highly citedNo
Citation typesNeutral: 8

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