Human influence as a potential source of bias in pollen-based quantitative climate reconstructions

doi:10.1016/j.quascirev.2014.06.005

	Human influence as a potential source of bias in pollen-based quantitative climate reconstructions
	Li, Jianyong 1; Zhao, Yan 2; Xu, Qinghai 3,4,5,6; Zheng, Zhuo 7; Lu, Houyuan 8; Luo, Yunli 9; Li, Yuecong 4,5; Li, Chunhai 10; Seppa, Heikki 1
刊名	QUATERNARY SCIENCE REVIEWS
	2014-09-01
卷号	99 页码:112-121
关键词	Human influence index Bias Pollen Calibration models Climate reconstructions Central China
ISSN号	0277-3791
DOI	10.1016/j.quascirev.2014.06.005
文献子类	Article
英文摘要	Human influence on vegetation is a potential confounding factor in pollen-based quantitative climate reconstructions. Here, we examine this issue in China, a region with intensive and long-lasting human influence. We employ modern datasets for human influence index (HID, climate and pollen over continental China to develop quantitative calibration models for HII and two key climate variables (annual precipitation, PANN; annual mean temperature, TANN). We assess the effect of HII on modern pollen assemblages and individual pollen taxa by comparison with climate variables by using constrained ordination methods and boosted regression trees and apply the calibration models to a pollen record spanning the last 6200 years from Lake Tianchi in central China. The results show that HII has smaller influence on the modern pollen data than PANN and TANN, except for in east-central China where the relationship between pollen data and HII is both statistically and ecologically significant. The reconstructed HII from Lake Tianchi remains relatively stable at 6200-2900 cal. yr BP, rises gradually at 2900 -1100 cal. yr BP, and increases abruptly 1100 years ago. These HII trends are roughly concordant with Holocene charcoal and historical population records. The climate reconstructions change in tune with the HII, with an abrupt decline of PANN and a rise of TANN after 1100 cal. yr BR Other palaeoclimatic data contradict the reconstructed patterns of PANN and TANN during the last millennium, suggesting that the climate reconstructions over the last 11 centuries are seriously biased due to the marked increase of human influence. Such a bias likely exists in other pollen-based climate reconstructions from other regions with strong and long-lasting human influence on vegetation. (C) 2014 Elsevier Ltd. All rights reserved.
WOS关键词	SOUTHWESTERN LOESS PLATEAU ; LAGO-DELLACCESA TUSCANY ; HOLOCENE ASIAN MONSOON ; HUMAN IMPACT ; SURFACE-POLLEN ; VEGETATION HISTORY ; CALIBRATION SET ; TIBETAN PLATEAU ; ENVIRONMENTAL-CHANGES ; MILLENNIAL-SCALE
WOS研究方向	Physical Geography ; Geology
语种	英语
出版者	PERGAMON-ELSEVIER SCIENCE LTD
WOS记录号	WOS:000340980100009
资助机构	Key National Natural Science Foundation of China(40730103) ; Key National Natural Science Foundation of China(40730103) ; National Natural Science Foundation of China(41071132 ; National Natural Science Foundation of China(41071132 ; China Scholarship Council (CSC) for PhD study at the University of Helsinki(201208130087) ; China Scholarship Council (CSC) for PhD study at the University of Helsinki(201208130087) ; project QVR (Quantitative Vegetation Reconstructions) from the Academy of Finland ; project QVR (Quantitative Vegetation Reconstructions) from the Academy of Finland ; 41371215) ; 41371215) ; Key National Natural Science Foundation of China(40730103) ; Key National Natural Science Foundation of China(40730103) ; National Natural Science Foundation of China(41071132 ; National Natural Science Foundation of China(41071132 ; China Scholarship Council (CSC) for PhD study at the University of Helsinki(201208130087) ; China Scholarship Council (CSC) for PhD study at the University of Helsinki(201208130087) ; project QVR (Quantitative Vegetation Reconstructions) from the Academy of Finland ; project QVR (Quantitative Vegetation Reconstructions) from the Academy of Finland ; 41371215) ; 41371215) ; Key National Natural Science Foundation of China(40730103) ; Key National Natural Science Foundation of China(40730103) ; National Natural Science Foundation of China(41071132 ; National Natural Science Foundation of China(41071132 ; China Scholarship Council (CSC) for PhD study at the University of Helsinki(201208130087) ; China Scholarship Council (CSC) for PhD study at the University of Helsinki(201208130087) ; project QVR (Quantitative Vegetation Reconstructions) from the Academy of Finland ; project QVR (Quantitative Vegetation Reconstructions) from the Academy of Finland ; 41371215) ; 41371215) ; Key National Natural Science Foundation of China(40730103) ; Key National Natural Science Foundation of China(40730103) ; National Natural Science Foundation of China(41071132 ; National Natural Science Foundation of China(41071132 ; China Scholarship Council (CSC) for PhD study at the University of Helsinki(201208130087) ; China Scholarship Council (CSC) for PhD study at the University of Helsinki(201208130087) ; project QVR (Quantitative Vegetation Reconstructions) from the Academy of Finland ; project QVR (Quantitative Vegetation Reconstructions) from the Academy of Finland ; 41371215) ; 41371215)
内容类型	期刊论文
源URL	[http://ir.iggcas.ac.cn/handle/132A11/85197]
专题	中国科学院地质与地球物理研究所
通讯作者	Xu, Qinghai
作者单位	1.Univ Helsinki, Dept Geosci & Geog, FIN-00014 Helsinki, Finland 2.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China 3.Hebei Normal Univ, Inst Nihewan Archaeol Res, Shijiazhuang 050024, Hebei Province, Peoples R China 4.Hebei Normal Univ, Coll Resources & Environm Sci, Shijiazhuang 050024, Hebei Province, Peoples R China 5.Hebei Normal Univ, Hebei Key Lab Environm Change & Ecol Construct, Shijiazhuang 050024, Hebei Province, Peoples R China 6.Lanzhou Univ, MOE Key Lab Western Chinas Environm Syst, Lanzhou 730000, Peoples R China 7.Sun Yat Sen Univ, Dept Earth Sci, Guangzhou 510275, Guangdong, Peoples R China 8.Chinese Acad Sci, Inst Geol & Geophys, Key Lab Cenozo Geol & Environm, Beijing 100029, Peoples R China 9.Chinese Acad Sci, Inst Bot, Beijing 100093, Peoples R China 10.Chinese Acad Sci, Nanjing Inst Geog & Limnol, State Key Lab Lake Sci & Environm, Nanjing 210008, Jiangsu, Peoples R China
推荐引用方式 GB/T 7714	Li, Jianyong,Zhao, Yan,Xu, Qinghai,et al. Human influence as a potential source of bias in pollen-based quantitative climate reconstructions[J]. QUATERNARY SCIENCE REVIEWS,2014,99:112-121.
APA	Li, Jianyong.,Zhao, Yan.,Xu, Qinghai.,Zheng, Zhuo.,Lu, Houyuan.,...&Seppa, Heikki.(2014).Human influence as a potential source of bias in pollen-based quantitative climate reconstructions.QUATERNARY SCIENCE REVIEWS,99,112-121.
MLA	Li, Jianyong,et al."Human influence as a potential source of bias in pollen-based quantitative climate reconstructions".QUATERNARY SCIENCE REVIEWS 99(2014):112-121.