Articles | Volume 14, issue 9
https://doi.org/10.5194/essd-14-3961-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/essd-14-3961-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Data description paper
| 
02 Sep 2022
Data description paper |
| 02 Sep 2022
| 02 Sep 2022
Artemisia pollen dataset for exploring the potential ecological indicators in deep time
Li-Li Lu
State Key Laboratory of Systematic and Evolutionary Botany, Institute of Botany, Chinese Academy of Sciences, 20 Nanxincun Xiangshan, Beijing 100093, China
University of Chinese Academy of Sciences, Beijing 100049, China
Bo-Han Jiao
State Key Laboratory of Systematic and Evolutionary Botany, Institute of Botany, Chinese Academy of Sciences, 20 Nanxincun Xiangshan, Beijing 100093, China
University of Chinese Academy of Sciences, Beijing 100049, China
Feng Qin
Key Laboratory of Land Surface Pattern and Simulation, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China
Gan Xie
State Key Laboratory of Systematic and Evolutionary Botany, Institute of Botany, Chinese Academy of Sciences, 20 Nanxincun Xiangshan, Beijing 100093, China
Kai-Qing Lu
State Key Laboratory of Systematic and Evolutionary Botany, Institute of Botany, Chinese Academy of Sciences, 20 Nanxincun Xiangshan, Beijing 100093, China
University of Chinese Academy of Sciences, Beijing 100049, China
Jin-Feng Li
State Key Laboratory of Systematic and Evolutionary Botany, Institute of Botany, Chinese Academy of Sciences, 20 Nanxincun Xiangshan, Beijing 100093, China
Bin Sun
State Key Laboratory of Systematic and Evolutionary Botany, Institute of Botany, Chinese Academy of Sciences, 20 Nanxincun Xiangshan, Beijing 100093, China
Min Li
State Key Laboratory of Systematic and Evolutionary Botany, Institute of Botany, Chinese Academy of Sciences, 20 Nanxincun Xiangshan, Beijing 100093, China
David K. Ferguson
Department of Paleontology, University of Vienna, Althanstrasse 14, Vienna 1090, Austria
Tian-Gang Gao
CORRESPONDING AUTHOR
State Key Laboratory of Systematic and Evolutionary Botany, Institute of Botany, Chinese Academy of Sciences, 20 Nanxincun Xiangshan, Beijing 100093, China
University of Chinese Academy of Sciences, Beijing 100049, China
Yi-Feng Yao
CORRESPONDING AUTHOR
State Key Laboratory of Systematic and Evolutionary Botany, Institute of Botany, Chinese Academy of Sciences, 20 Nanxincun Xiangshan, Beijing 100093, China
University of Chinese Academy of Sciences, Beijing 100049, China
State Key Laboratory of Systematic and Evolutionary Botany, Institute of Botany, Chinese Academy of Sciences, 20 Nanxincun Xiangshan, Beijing 100093, China
University of Chinese Academy of Sciences, Beijing 100049, China
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Cited
8 citations as recorded by crossref.
- Pollen morphology of Artemisia L. (Asteraceae) in Turkey and its systematic value M. Kursat et al. 10.1080/00173134.2023.2241853
- The potential of Artemisia spp. plant extracts and endophytic bacteria to increase plant productivity: A review S. Hadian & S. Supronienė 10.13080/z-a.2023.110.012
- Weakly Supervised Collaborative Learning for Airborne Pollen Segmentation and Classification from SEM Images J. Li et al. 10.3390/life13010247
- A second Artemisia pollen peak in autumn in Vienna: reaching the point of no return? K. Bastl et al. 10.1007/s10453-024-09836-8
- Merging Ajaniopsis (Asteraceae), an endangered genus endemic to the Tibet Plateau, into Artemisia: Implications for systematics and conservation M. Wei et al. 10.1002/tax.13285
- The Use of Pollen Morphology to Disentangle the Origin, Early Evolution, and Diversification of the Asteraceae M. Tellería et al. 10.1086/725046
- Tracing 40,000 years of vegetation change in the Baetic-Rifan biodiversity hotspot J. Carrión et al. 10.1016/j.revpalbo.2024.105202
- Artemisia pollen dataset for exploring the potential ecological indicators in deep time L. Lu et al. 10.5194/essd-14-3961-2022
7 citations as recorded by crossref.
- Pollen morphology of Artemisia L. (Asteraceae) in Turkey and its systematic value M. Kursat et al. 10.1080/00173134.2023.2241853
- The potential of Artemisia spp. plant extracts and endophytic bacteria to increase plant productivity: A review S. Hadian & S. Supronienė 10.13080/z-a.2023.110.012
- Weakly Supervised Collaborative Learning for Airborne Pollen Segmentation and Classification from SEM Images J. Li et al. 10.3390/life13010247
- A second Artemisia pollen peak in autumn in Vienna: reaching the point of no return? K. Bastl et al. 10.1007/s10453-024-09836-8
- Merging Ajaniopsis (Asteraceae), an endangered genus endemic to the Tibet Plateau, into Artemisia: Implications for systematics and conservation M. Wei et al. 10.1002/tax.13285
- The Use of Pollen Morphology to Disentangle the Origin, Early Evolution, and Diversification of the Asteraceae M. Tellería et al. 10.1086/725046
- Tracing 40,000 years of vegetation change in the Baetic-Rifan biodiversity hotspot J. Carrión et al. 10.1016/j.revpalbo.2024.105202
1 citations as recorded by crossref.
Latest update: 23 Dec 2024
Short summary
Artemisia is one of the dominant plant elements in the arid and semi-arid regions. We attempt to decipher the underlying causes of the long-standing disagreement on the correlation between Artemisia pollen and aridity by using the dataset to recognize the different ecological implications of Artemisia pollen types. Our findings improve the resolution of palaeoenvironmental assessment and change the traditional concept of Artemisia being restricted to arid and semi-arid environments.
Artemisia is one of the dominant plant elements in the arid and semi-arid regions. We attempt to...
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