Pollen and spore percentage data of composite sediment core GeoB16602 over the past 140 kyr

Cores of marine site GeoB16602 (18.95°N, 113.71°E, water depth, 953 m) were recovered during the 2012 RV SONNE cruise SO-221 “INVERS”, northern South China Sea. Pollen samples were processed via standard hydrochloric-hydrofluoric acid procedure. Pollen and spore percentages were calculated based on the pollen sum (>300 grains per sample) and spore sum (>100 grains) respectively. The data set cover the whole last glacial cycle (140 kyr) with an average temporal resolution of ~600 years, revealing vegetation evolution history of the Pearl River catchment area in southern China. In general, the results reveal three different evolution patterns of vegetation at the tropical-subtropical flora ecotone: the zonal forest exhibited a clear glacial-interglacial cycle and weak response to stadial cooling; the fern communities exhibited similar glacial-interglacial variations but more sensitivity to low-amplitude temperature fluctuations; the glacial-interglacial trend in coastal wetland vegetation was ambiguous whereas a series of millennial-scale expansion events were closely related with sea-level rises.

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Cheng, Zhongjing, Weng, Chengyu, Steinke, Stephan, Mohtadi, Mahyar (2022). Dataset: Pollen and spore percentage data of composite sediment core GeoB16602 over the past 140 kyr. https://doi.org/10.1594/PANGAEA.941391

DOI retrieved: 2022

Additional Info

Field Value
Imported on November 30, 2024
Last update November 30, 2024
License CC-BY-4.0
Source https://doi.org/10.1594/PANGAEA.941391
Author Cheng, Zhongjing
Given Name Zhongjing
Family Name Cheng
More Authors
Weng, Chengyu
Steinke, Stephan
Mohtadi, Mahyar
Source Creation 2022
Publication Year 2022
Resource Type text/tab-separated-values - filename: Cheng-etal_2021
Subject Areas
Name: BiologicalClassification

Name: Ecology

Related Identifiers
Title: Marine pollen records provide perspective on coastal wetlands through Quaternary sea-level changes
Identifier: https://doi.org/10.1016/j.ecolind.2021.108405
Type: DOI
Relation: References
Year: 2021
Source: Ecological Indicators
Authors: Cheng Zhongjing , Weng Chengyu , Steinke Stephan , Mohtadi Mahyar .