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Peat records help reveal regional pattern of Holocene temperature change in arid Central Asia 科技资讯
2024
收藏  |  浏览/下载:8/0  |  提交时间:2024/03/05
Pollen diaries: Polar ice records preserve climate vs. human impact following Little Ice Age 科技资讯
2024
收藏  |  浏览/下载:4/0  |  提交时间:2024/01/30
Shape matters: Study finds microplastic fibers may travel as far as the stratosphere 科技资讯
2024
收藏  |  浏览/下载:4/0  |  提交时间:2024/01/10
Subalpine forests in the Northern Rockies are fire resilient—for now 科技资讯
2023
收藏  |  浏览/下载:5/0  |  提交时间:2023/10/18
The rise and fall of the Roman empire preserved in pollen 科技资讯
2023
收藏  |  浏览/下载:11/0  |  提交时间:2023/07/11
Middle Jurassic terrestrial environmental and floral changes linked to volcanism: Evidence from the Qinghai-Tibet Plateau, China 期刊论文
GLOBAL AND PLANETARY CHANGE, 2023, 卷号: 223
作者:  Zhang, Peixin;  Yang, Minfang;  Lu, Jing;  Jiang, Zhongfeng;  Zhou, Kai;  Liu, Haoqing;  He, Zhen;  Wang, Ye;  Bian, Xiao;  Shao, Longyi;  Hilton, Jason;  Bond, David P. G.
收藏  |  浏览/下载:5/0  |  提交时间:2024/03/01
Middle Jurassic  Terrestrial Qaidam Basin  Palynological fossils  Organic carbon isotope composition  Volcanism  
Modeling historical biomass could be key to buffering climate change 科技资讯
2022
收藏  |  浏览/下载:15/0  |  提交时间:2022/07/11
High resolution modeling of Quercus pollen with an Eulerian modeling system: A case study in Greece 期刊论文
ATMOSPHERIC ENVIRONMENT, 2022, 卷号: 268
作者:  Kontos S.;  Papadogiannaki S.;  Parliari D.;  Steiner A.L.;  Melas D.
收藏  |  浏览/下载:37/0  |  提交时间:2022/01/18
CAMx  Natural emissions  NEMO  Pollen  Quercus  WRF  
A transient south subtropical forest ecosystem in central China driven by rapid global warming during the Paleocene-Eocene Thermal Maximum 期刊论文
GONDWANA RESEARCH, 2022, 卷号: 101
作者:  Xie, Yulong;  Wu, Fuli;  Fang, Xiaomin
收藏  |  浏览/下载:29/0  |  提交时间:2022/06/21
CARBON-ISOTOPE EXCURSION  EXTREME PRECIPITATION  EARLIEST EOCENE  FUSHUN BASIN  CLIMATE  EVOLUTION  VEGETATION  RESOLUTION  PRIMATES  POLLEN  
Biome reconstruction on the Tibetan Plateau since the Last Glacial Maximum using a machine learning method 期刊论文
SCIENCE CHINA-EARTH SCIENCES, 2022, 卷号: 65, 期号: 3
作者:  Qin, Feng;  Zhao, Yan;  Cao, Xianyong
收藏  |  浏览/下载:29/0  |  提交时间:2022/06/21
POLLEN DATA  QUANTITATIVE RECONSTRUCTION  HOLOCENE VEGETATION  HIGH-RESOLUTION  LAKE-SEDIMENTS  CLIMATE-CHANGE  MIDHOLOCENE  CHINA  ASIA  REGION