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Relative Pollen Productivity Estimates for Major Plant Taxa in Middle Subtropical China

Author

Listed:
  • Qiuchi Wan

    (Guangdong Provincial Key Laboratory of Geodynamics and Geohazards, School of Earth Sciences and Engineering, Sun Yat-sen University, Zhuhai 519082, China)

  • Kangyou Huang

    (Guangdong Provincial Key Laboratory of Geodynamics and Geohazards, School of Earth Sciences and Engineering, Sun Yat-sen University, Zhuhai 519082, China
    Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai), Zhuhai 519082, China)

  • Cong Chen

    (Guangdong Provincial Key Laboratory of Geodynamics and Geohazards, School of Earth Sciences and Engineering, Sun Yat-sen University, Zhuhai 519082, China)

  • Yongjie Tang

    (Guangdong Provincial Key Laboratory of Geodynamics and Geohazards, School of Earth Sciences and Engineering, Sun Yat-sen University, Zhuhai 519082, China)

  • Xiao Zhang

    (Guangdong Provincial Key Laboratory of Geodynamics and Geohazards, School of Earth Sciences and Engineering, Sun Yat-sen University, Zhuhai 519082, China)

  • Zhong Zhang

    (Changguling Forest Farm, Jinggangshan National Nature Reserve, Jinggangshan 343600, China)

  • Zhuo Zheng

    (Guangdong Provincial Key Laboratory of Geodynamics and Geohazards, School of Earth Sciences and Engineering, Sun Yat-sen University, Zhuhai 519082, China
    Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai), Zhuhai 519082, China)

Abstract

Relative pollen productivity (RPP) is a key parameter for quantitative reconstruction of past vegetation cover. However, RPP estimates are rarely obtained in the subtropical and tropical regions. In this study, the extended R -value (ERV) model was used to estimate RPP for major plant taxa in the evergreen broadleaved and mixed forests in middle subtropical China based on soil samples and vegetation data from 23 sites. The best result was obtained with the combinations of ERV sub-model 3 and Prentice’s or 1/d vegetation distance-weighting method. The relevant source area of pollen (RSAP) of the soil samples was estimated to be ca. 500 m. RPP on the basis of ERV sub-model 3 and Prentice’s model was obtained for seven taxa and the ranking is as follows: Castanopsis (1 ± 0), Ilex (0.352 ± 0.031), Mallotus (0.221 ± 0.028), Liquidambar (0.115 ± 0.007), Cyclobalanopsis (0.107 ± 0.006), Camelia (0.033 ± 0.001), Symplocos (0.010 ± 0.002). RPPs for Cyclobalanopsis , Camelia , Ilex , and Symplocos which are dominant elements in the subtropical evergreen broadleaved forests were first obtained. Our result demonstrates a significant effect of pollen dispersal models on the estimates of RPPs. The RPPs obtained in this study provide an important basis for quantitative vegetation reconstruction in the subtropical region of China.

Suggested Citation

  • Qiuchi Wan & Kangyou Huang & Cong Chen & Yongjie Tang & Xiao Zhang & Zhong Zhang & Zhuo Zheng, 2023. "Relative Pollen Productivity Estimates for Major Plant Taxa in Middle Subtropical China," Land, MDPI, vol. 12(7), pages 1-13, July.
    • Handle: RePEc:gam:jlands:v:12:y:2023:i:7:p:1337-:d:1185896
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    References listed on IDEAS

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    1. Kuparinen, Anna & Markkanen, Tiina & Riikonen, Hermanni & Vesala, Timo, 2007. "Modeling air-mediated dispersal of spores, pollen and seeds in forested areas," Ecological Modelling, Elsevier, vol. 208(2), pages 177-188.
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    Cited by:

    1. Min Wang & Qifa Sun & Hongwei Meng & Linpei Huang & Huayong Li & Hucai Zhang & Caiming Shen, 2024. "Holocene Vegetation Dynamics Revealed by a High-Resolution Pollen Record from Lake Yangzonghai in Central Yunnan, SW China," Land, MDPI, vol. 13(6), pages 1-18, May.

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