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用于指代深时植被与环境评估的菊科蒿属花粉数据集
Artemisia pollen dataset for exploring the potential ecological indicators in deep time
Lu, L.-L., Jiao, B.-H., Qin, F., Xie, G.(中国科学院植物研究所)
发布时间:2022/11/7 12:05:39
摘要
菊科蒿属与藜科植物,是广泛分布于北半球草原、荒漠等半干旱和干旱地区的优势建群成分。藜科/蒿属花粉相对丰度比作为一项重要的生物环境代用指标,被广泛用于评价地质时期研究地区环境干旱度和区分草原或荒漠植被类型。科学界对蒿属花粉指征干旱的关联程度长期存有不同声音。为了解决这一难题,本数据集基于蒿属系统发生框架,在该属9个支系和3个外群中选择了36个物种作为取样代表,以期尽可能地覆盖花粉形态变异的最大范围;研究人员采用标准方法进行采样、实验、摄影和测量,在光学显微镜和电子显微镜两个层面上,提供了包含4018张的高清花粉照片、9360个花粉形态性状的统计数据,并基于花粉形态性状的层次聚类分析结果,将蒿属花粉划分为3种类型;并根据30858条植物分布信息以及相关环境因子的数据集,将三种蒿属花粉类型投射到全球陆地生物群落地图上时,发现的蒿属内的不同类型花粉,具有各自不同的生境范围。这些新发现彻底改变了传统上人们认为蒿属分布仅限于干旱和半干旱环境中的固有观念。本工作不仅提供了蒿属花粉的新数据和新的分型方案,同时这个新花粉数据框架是开放的和可扩展的。未来,通过这些花粉数据集可关联花粉形态与生境,有极大的潜力创造更多新知,以提升对深时生态环境评估的分辨率,服务全球气候变化研究。
Artemisia, along with Chenopodiaceae, is the dominant component growing in the desert and dry grassland of the Northern Hemisphere. Artemisia pollen with its high productivity, wide distribution, and easy identification is usually regarded as an eco-indicator for assessing aridity and distinguishing grassland from desert vegetation in terms of the pollen relative abundance ratio of Chenopodiaceae/Artemisia (C/A). Nevertheless, divergent opinions on the degree of aridity evaluated by Artemisia pollen have been circulating in the palynological community for a long time. To solve the confusion, we first selected 36 species from nine clades and three outgroups of Artemisia based on the phylogenetic framework, which attempts to cover the maximum range of pollen morphological variation. Then, sampling, experiments, photography, and measurements were taken using standard methods. Here, we present pollen datasets containing 4018 original pollen photographs, 9360 pollen morphological trait measurements, information on 30858 source plant occurrences, and corresponding environmental factors. Hierarchical cluster analysis on pollen morphological traits was carried out to subdivide Artemisia pollen into three types. When plotting the three pollen types of Artemisia onto the global terrestrial biomes, different pollen types of Artemisia were found to have different habitat ranges. These findings change the traditional concept of Artemisia being restricted to arid and semi-arid environments. The data framework that we designed is open and expandable for new pollen data of Artemisia worldwide. In the future, linking pollen morphology with habitat via these pollen datasets will create additional knowledge that will increase the resolution of the ecological environment in the geological past.
关键词
蒿属, 生态指征, 花粉, 深时, 植被, 环境
数据引用
必引文献: Lu, L.-L., Jiao, B.-H., Qin, F., Xie, G., Lu, K.-Q., Li, J.-F., Sun, B., Li, M., Ferguson, D. K., Gao, T.-G., Yao, Y.-F., and Wang, Y.-F.: Artemisia pollen dataset for exploring the potential ecological indicators in deep time, Earth Syst. Sci. Data, 14, 3961–3995, https://doi.org/10.5194/essd-14-3961-2022, 2022;

GBIF.org (09 November 2021) GBIF Occurrence Download https://doi.org/10.15468/dl.596xd9;

Fick, S.E. and R.J. Hijmans, 2017. WorldClim 2: new 1km spatial resolution climate surfaces for global land areas. International Journal of Climatology 37 (12): 4302-4315.
数据引用: 数据来源于:用于指代深时植被与环境评估的菊科蒿属花粉数据集,Lu, L.-L., Jiao, B.-H., Qin, F., Xie, G.(中国科学院植物研究所), 2022, 中国科学院植物科学数据中心, DOI:10.5281/zenodo.6900308, CSTR:34735.11.PLANTDATA.0064

Normative references:Artemisia pollen dataset for exploring the potential ecological indicators in deep time, 2022, Plant Data Center of Chinese Academy of Sciences, DOI:10.5281/zenodo.6900308, CSTR:34735.11.PLANTDATA.0064
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中文致谢方式:
  感谢中国科学院植物科学数据中心(Plant Data Center of Chinese Academy of Sciences, https://www.plantplus.cn) 提供数据支撑。
To respect the intellectual property rights, protect the rights of data authors, expand services of the data center, and evaluate the application potential of data, data users should clearly indicate the source of the data and the author of the data in the research results generated by using the data (including published papers, articles, data products, and unpublished research reports, data products and other results). For re-posting (second or multiple releases) data, the author must also indicate the source of the original data.
Acknowledgements:
  Acknowledgement for the data support from Plant Data Center of Chinese Academy of Sciences (https://www.plantplus.cn).
数据服务
CSTR34735.11.PLANTDATA.0064
DOI10.5281/zenodo.6900308
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元数据:
数据提供者
数据提供机构:中国科学院植物研究所
数据提供者:Lu, L.-L., Jiao, B.-H., Qin, F., Xie, G.
联系人:谢凎
电子邮箱:xiegan@ibcas.ac.cn