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Assessing the Importance of Climate Variables for the Spatial Distribution of Modern Pollen Data in China

Published online by Cambridge University Press:  20 January 2017

Jianyong Li ,
Qinghai Xu ,
Zhuo Zheng ,
Houyuan Lu ,
Yunli Luo ,
Yuecong Li ,
Chunhai Li  and
Heikki Seppä
Jianyong Li
Affiliation:
Department of Geosciences and Geography, University of Helsinki, Gustaf Hällströmin katu 2a, P.O. Box 64, Helsinki 00014, Finland
Qinghai Xu*
Affiliation:
Institute of Nihewan Archaeology Research, Hebei Normal University, East Road of Southern 2nd Ring, Shijiazhuang 050024, China College of Resources and Environment Science, Hebei Normal University, East Road of Southern 2nd Ring, Shijiazhuang 050024, China Hebei Key Laboratory of Environmental Change and Ecological Construction, Hebei Normal University, East Road of Southern 2nd Ring, Shijiazhuang 050024, China MOE Key Laboratory of Western China's Environmental System, Lanzhou University, Southern Tianshui Road, Lanzhou 730000, China
Zhuo Zheng
Affiliation:
Department of Earth Sciences, Sun Yat-sen University, Xingang Xi Road, Guangzhou 510275, China
Houyuan Lu
Affiliation:
Key Laboratory of Cenozoic Geology and Environment, Institute of Geology and Geophysics, Chinese Academy of Sciences, Beitucheng Western Road, Beijing 100029, China
Yunli Luo
Affiliation:
Institute of Botany, Chinese Academy of Sciences, Xiangshan Nanxincun, Beijing 100093, China
Yuecong Li
Affiliation:
College of Resources and Environment Science, Hebei Normal University, East Road of Southern 2nd Ring, Shijiazhuang 050024, China Hebei Key Laboratory of Environmental Change and Ecological Construction, Hebei Normal University, East Road of Southern 2nd Ring, Shijiazhuang 050024, China
Chunhai Li
Affiliation:
State Key Laboratory of Lake Science and Environment, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, East Beijing Road, Nanjing 210008, China
Heikki Seppä
Affiliation:
Department of Geosciences and Geography, University of Helsinki, Gustaf Hällströmin katu 2a, P.O. Box 64, Helsinki 00014, Finland
*
*Corresponding author at: East Road of Southern 2nd Ring, Shijiazhuang 050024, Hebei Province, China., E-mail address:[email protected] (Q. Xu).
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Abstract

To assess the importance of climate variables for the distribution of modern pollen data in China, we present a continental-scale dataset consisting of 1374 samples. Boosted regression trees and constrained ordination techniques are employed to quantify the importance of six climate variables (annual precipitation, PANN; actual/potential evapotranspiration ratio, Alpha; mean annual temperature, TANN; mean temperature of the warmest month, MTWA; mean temperature of the coldest month, MTCO; annual sum of the growing degree days above 5°C, GDD5) for the distribution of individual pollen taxa and modern pollen assemblages. The results show that taxon-specific responses to the climate variables display a wide regional diversity and that the climate variables with low collinearity that best account for the spatial variability of modern pollen assemblages differ regionally. PANN is the most important variable in northwestern and northeastern China and the Tibetan Plateau, while MTWA and MTCO are the dominant variables in east-central and southern China. This suggests that the climate variables that can be optimally reconstructed from fossil pollen data vary in different bioclimatic regions of China. This feature is typical to many continental-scale modern pollen datasets and needs to be considered in pollen-based climate reconstructions.

Keywords

Constrained ordination techniquesBoosted regression treesSpatial distributionClimate variablesClimate reconstructionsModern pollen dataChina
Type
Research Article
Information
Quaternary Research , Volume 83 , Issue 2 , March 2015 , pp. 287 - 297
Copyright
University of Washington

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