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亚洲现代花粉数据集

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国家青藏高原科学数据中心2022-05-21 更新2024-03-01 收录
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https://data.tpdc.ac.cn/zh-hans/data/9d62caf3-0aff-4147-b359-5196c55aaee6
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资源简介:
现代花粉数据库是开展花粉与植被及气候定量关系并开展古植被与古气候定量重建的数据基础。亚洲地貌、气候、植被区域差异显著,区域尺度的花粉现代过程研究取得一系列重要成果,但尚缺乏涵盖亚洲的现代孢粉数据集。作者通过收集前人的现代孢粉数据,并补充开展部分地区的现代孢粉分析,初步构建涵盖亚洲大部分地区的现代孢粉数据集。数据集包含9165个样点,能够涵盖除南亚之外的亚洲大部分地区;包含245个花粉类型,主要为科或属。该数据集可用于开展大空间尺度古植被和气候重建研究,也可用于植被和气候模型可靠性评价。本数据集是来源于论文:Cao, X., Tian, F., Herzschuh, U., Ni, J., Xu, Q., Li, W., Zhang, Y., Luo, M., Chen, F., 2022. Human activities have reduced plant diversity in eastern China over the last two millennia, Global Change Biology (accepted),详细信息在本文中有详细介绍。

The modern pollen database provides fundamental data for investigating the quantitative relationships between pollen, vegetation and climate, as well as conducting quantitative reconstructions of paleovegetation and paleoclimate. Asia has prominent regional differences in topography, climate and vegetation. While a series of important achievements have been made in modern pollen process studies at regional scales, there is still a lack of modern sporopollen datasets covering the entire continent. The authors compiled existing modern sporopollen data from prior studies and supplemented with modern sporopollen analyses conducted in some regions, and preliminarily constructed a modern sporopollen dataset covering most parts of Asia except South Asia. This dataset contains 9165 sampling sites and 245 pollen types, which are mostly classified at the family or genus level. It can be used for large spatial-scale paleovegetation and paleoclimate reconstruction studies, as well as reliability evaluation of vegetation and climate models. This dataset is sourced from the paper: Cao, X., Tian, F., Herzschuh, U., Ni, J., Xu, Q., Li, W., Zhang, Y., Luo, M., Chen, F., 2022. Human activities have reduced plant diversity in eastern China over the last two millennia, Global Change Biology (accepted). Detailed information can be found in this article.
提供机构:
曹现勇,田芳,许清海,倪健,Ulrike Herzschuh
创建时间:
2022-05-17
搜集汇总
数据集介绍
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背景与挑战
背景概述
该数据集是一个涵盖亚洲大部分地区(除南亚外)的现代花粉数据集,包含9165个样点和245个花粉类型,主要用于支持古植被和气候的定量重建研究。它具有1-10年的时间分辨率和1km-10km的空间分辨率,数据以Excel格式存储,为二维矩阵结构,便于大空间尺度的科学分析。
以上内容由遇见数据集搜集并总结生成
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