Influence of plant coverage and environmental variables on pollen productivities: evidence from northern China

doi:10.1007/s11707-020-0834-0

Front. Earth Sci.

2020, Vol. 14

Issue (4) : 789-802 https://doi.org/10.1007/s11707-020-0834-0

RESEARCH ARTICLE

Influence of plant coverage and environmental variables on pollen productivities: evidence from northern China

Kaixiu ZHANG¹, Wen QIN¹, Fang TIAN¹(

), Xianyong CAO^2,³, Yuecong LI⁴, Jule XIAO⁵, Wei DING⁶, Ulrike HERZSCHUH^7,⁸, Qinghai XU⁴(

)

¹. College of Resource Environment and Tourism, Beijing Key Laboratory of Resource Environment and GIS, Capital Normal University, Beijing 100048, China
². Key Laboratory of Alpine Ecology, Institute of Tibetan Plateau Research, Chinese Academy of Sciences, Beijing 100101, China
³. Alpine Paleoecology and Human Adaptation Group (ALPHA), Key Laboratory of Alpine Ecology, Institute of Tibetan Plateau Research, Chinese Academy of Sciences (CAS), Beijing 100101, China
⁴. College of Resources and Environment Sciences, Hebei Normal University, Shijiazhuang 050024, China
⁵. Key Laboratory of Cenozoic Geology and Environment, Institute of Geology and Geophysics, Chinese Academy of Sciences, Beijing 100029, China
⁶. Institute of Geological Sciences, Palaeontology, Free University of Berlin, Berlin 12249, Germany
⁷. Alfred Wegener Institute Helmholtz Center for Polarand Marine Research, Research Unit Potsdam, Potsdam 14473, Germany
⁸. Institute of Earth and Environmental Sciences, University of Potsdam, Potsdam 14476, Germany

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Abstract

Pollen productivity is a critical parameter in the interpretation of pollen-vegetation relationships, and in the quantitative reconstructions of past vegetation from fossil pollen records. One-year monitoring records were collected for 143 pollen traps in various parts of northern China, together with modern vegetation data. Absolute Pollen Productivity Estimates (APPE) were calculated for 11 taxa using the ratio of pollen influx to plant coverage at each applicable sampling site, in which the plants of the target taxon were present. Relative Pollen Productivity Estimates (RPPE) were calculated for the 11 taxa (taking Poaceae as the reference taxon) at those sites in which each taxon occurred together with Poaceae. Artemisia and Chenopodiaceae were found to have the highest RPPEs and the largest RPPEs ranges, while Pinus and Quercus also had higher RPPEs than Poaceae; Abies, Betula, Larix, Picea and Cyperaceae had relatively low RPPEs. Variations in RPPE between different areas may be explained by variations in climatic conditions, plant coverage and land use practices which might influence plant growing situation. Marked effect that variations in pollen productivity can have on vegetation reconstructions was demonstrated by applying these distinct RPPEs to reconstructions of Holocene vegetation in the Lake Daihai area (northern China), such as a large range of RPPE produces a large range of plant coverage. Variations in RPPEs within a single taxon, related to vegetation coverage and climatic conditions, therefore need to be considered in future vegetation reconstructions.

Keywords pollen influx pollen productivity vegetation reconstruction REVEALS model northern China

Corresponding Author(s): Fang TIAN,Qinghai XU

Just Accepted Date: 20 October 2020 Online First Date: 17 November 2020 Issue Date: 08 January 2021

Cite this article:

Kaixiu ZHANG,Wen QIN,Fang TIAN, et al. Influence of plant coverage and environmental variables on pollen productivities: evidence from northern China[J]. Front. Earth Sci., 2020, 14(4): 789-802.

URL:

https://academic.hep.com.cn/fesci/EN/10.1007/s11707-020-0834-0
https://academic.hep.com.cn/fesci/EN/Y2020/V14/I4/789

Fig.1 Locations of 120 Tauber traps and location of the study area relative to the Tibetan Plateau, the Loess Plateau, the Inner Mongolia Plateau and the North China Plain. The square filled with gray dots within the inset corresponds to the area depicted in the main figure. Black dashed lines represent the boundaries of different vegetation types and solid gray lines are annual precipitation isolines. I: Temperate desert zone; II: Temperate steppe zone; III: Warm temperate broad-leaved forest zone; IV: Tibetan plateau zone; V: Sub-tropical broad-leaved forest zone.

Tab.1 Fall speeds for the eight species used in the REVEALS model

Tab.2 APPE and RPPE values and their associated major climatic factors in northern China

Fig.2 Box plots of absolute pollen productivity factors. (N: number of samples, *: Extremes, O: Outliers).

Fig.3 Smoothed curves for variations in the APPEs (grains cm⁻² a⁻¹) of nine pollen taxa with plant coverage and key climatic factors (smoother span: 0. 67).

Fig.4 Holocene vegetation compositions deduced from the original pollen count data and REVEALS models. The blue line represents median vegetation reconstructions (from 100 reconstructions), with the lower limits of error bars marking the 25% quartiles and their upper limits the 75% quartiles. The broken red lines indicate total pollen percentages for the eight reconstructed taxa.

Tab.3 Relative pollen production for the 11 taxa in northern China, and results from other study

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