Collaborative Research: Quantifying the carbon emission and sequestration rate after a large CO2 pulse from the Siberian Traps volcanism
合作研究:量化西伯利亚陷阱火山活动产生的大量二氧化碳脉冲后的碳排放和封存率
基本信息
- 批准号:2026877
- 负责人:
- 金额:$ 32.12万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Standard Grant
- 财政年份:2020
- 资助国家:美国
- 起止时间:2020-08-15 至 2025-07-31
- 项目状态:未结题
- 来源:
- 关键词:
项目摘要
The end-Permian mass extinction event (EPME) resulted in the loss of more than 90% of marine and 70% of land species. During the EPME (252 million years ago), one of the largest known volcanic events, the Siberian Trap (ST) volcanism, occurred and released massive quantities of carbon dioxide into the atmosphere. The impact of this volcanic event on the EPME and the subsequent recovery of life remains poorly understood. Therefore, it is critical to develop a better understanding of the dynamic climate and biogeochemistry of the end-Permian Earth. This project will use Earth system modeling to explore the CO2 emission rates from ST volcanism, weathering and the long-term buildup of greenhouse gases in the Early Triassic. This project will include the training of underrepresented students at Montclair State University and develop summer outreach programs to educate the general public at Yale University. New knowledge from this research will be integrated into educational and outreach activities. To better understand the mechanisms of the EPME and subsequent recovery, the project aims to produce new tropical ocean lithium and boron isotopic records spanning the one million year interval across the EPME and to improve quantitative understanding of the extent to which boron isotopes reflect pH changes and lithium isotopes reflect weathering intensity. These geochemical proxies will provide new insights into carbon emission and sequestration rates following the large pulse of CO2 emission associated with ST volcanism. The project will increase understanding of tropical paleoclimate history, including the role of extreme carbon emission and sequestration on the fate of ecosystem demise and recovery. The project team will also develop new modeling tools needed to produce reliable quantitative biogeochemical records spanning the EPME for model-data comparison.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
最终的哥伦比亚质量灭绝事件(EPME)导致损失超过90%的海洋和70%的土地物种。在EPME(2.52亿年前),最大的已知火山事件之一是西伯利亚陷阱(ST)火山,发生并释放出大量二氧化碳进入大气中。这场火山事件对EPME的影响以及随后的生活恢复仍然知之甚少。因此,至关重要的是要更好地了解最终地球的动态气候和生物地球化学。该项目将利用地球系统建模来探索ST火山,风化和长期在早期三叠纪温室气体的长期积聚的二氧化碳排放率。该项目将包括对蒙特克莱尔州立大学(Montclair State University)的代表性不足的学生的培训,并制定夏季外展计划,以教育耶鲁大学的公众。这项研究的新知识将纳入教育和外展活动。 为了更好地了解EPME的机制以及随后的恢复,该项目旨在生产新的热带海洋锂和硼同位素记录,这些记录跨越了EPME的一百万年间,并提高对硼龙同位素反映pH变化的程度的定量理解,而锂同位素反映了同位素的强度。这些地球化学代理将在与ST火山作用相关的二氧化碳发射脉冲大量脉冲之后对碳发射和隔离率提供新的见解。该项目将增加对热带古气候历史的理解,包括极端碳排放和隔离对生态系统灭亡和恢复命运的作用。该项目团队还将开发新的建模工具,以产生可靠的定量生物地球化学记录,该记录涵盖EPME进行模型数据比较。该奖项反映了NSF的法定任务,并且认为值得通过基金会的知识分子的智力优点和更广泛的影响审查标准通过评估来获得支持。
项目成果
期刊论文数量(3)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Ecosystem responses of two Permian biocrises modulated by CO2 emission rates
- DOI:10.1016/j.epsl.2022.117940
- 发表时间:2023-01
- 期刊:
- 影响因子:5.3
- 作者:Wen-qian Wang;Feifei Zhang;Shuangbao Zhang;Ying Cui;Quan‐Feng Zheng;Yi‐chun Zhang;Dong-xun Yuan;Hua Zhang;Yi‐Gang Xu;S. Shen
- 通讯作者:Wen-qian Wang;Feifei Zhang;Shuangbao Zhang;Ying Cui;Quan‐Feng Zheng;Yi‐chun Zhang;Dong-xun Yuan;Hua Zhang;Yi‐Gang Xu;S. Shen
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Ying Cui其他文献
A spatial data mining method for mineral resources potential assessment
- DOI:
10.1109/icsdm.2011.5969012 - 发表时间:
2011-01-01 - 期刊:
- 影响因子:0
- 作者:
Binbin He;Ying Cui;Pingjing Xie - 通讯作者:
Pingjing Xie
Variational Theory and Algorithms for a Class of Asymptotically Approachable Nonconvex Problems
一类渐进逼近非凸问题的变分理论和算法
- DOI:
- 发表时间:
2023 - 期刊:
- 影响因子:0
- 作者:
Hanyang Li;Ying Cui - 通讯作者:
Ying Cui
NCoR1 restrains thymic negative selection by repressing Bim expression to spare thymocytes undergoing positive selection
NCoR1 通过抑制 Bim 表达来抑制胸腺负选择,从而避免胸腺细胞经历正选择
- DOI:
10.1038/s41467-017-00931-8 - 发表时间:
2017-10 - 期刊:
- 影响因子:16.6
- 作者:
Jianrong Wang;Nanhai He;Na Zhang;Dexian Quan;Shuo Zhang;Shuo Zhang;Ruth T. Yu;nnette R. Atkins;Ruihong Zhu;Chunhui Yang;Ying Cui;Christopher Liddle;Michael Downes;Hui Xiao;Ye Zheng;Johan Auwerx;Ronald M. Evans;Leng Qibin - 通讯作者:
Leng Qibin
Highly conductive film of PEDOT:PSS treated with cosolvent of formamide and methanol for flexible piezoresistive sensor applications
用甲酰胺和甲醇共溶剂处理的 PEDOT:PSS 高导电薄膜,用于柔性压阻传感器应用
- DOI:
10.1063/5.0088913 - 发表时间:
2022-05 - 期刊:
- 影响因子:4
- 作者:
Yijie Xia;Ying Cui;Pengju Huang;Luchao Wu;Shuaishuai Du;Yinfei Zhu;Jian Lin;Xuyan Liu;Gaoyu Zhong - 通讯作者:
Gaoyu Zhong
Exploring the Factor Structure of the Revised-Parent as a Social Context Questionnaire
作为社会情境问卷探索修正父母的因素结构
- DOI:
10.1080/15295192.2015.1053334 - 发表时间:
2015 - 期刊:
- 影响因子:0
- 作者:
N. Egeli;W. T. Rogers;C. Rinaldi;Ying Cui - 通讯作者:
Ying Cui
Ying Cui的其他文献
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{{ truncateString('Ying Cui', 18)}}的其他基金
Theory and algorithms for a new class of computationally amenable nonconvex functions
一类新的可计算非凸函数的理论和算法
- 批准号:
2416250 - 财政年份:2024
- 资助金额:
$ 32.12万 - 项目类别:
Standard Grant
Theory and algorithms for a new class of computationally amenable nonconvex functions
一类新的可计算非凸函数的理论和算法
- 批准号:
2309729 - 财政年份:2023
- 资助金额:
$ 32.12万 - 项目类别:
Standard Grant
CRII: CCF: AF: Decomposition Algorithms for nonconvex nonsmooth constrained stochastic programs
CRII:CCF:AF:非凸非光滑约束随机程序的分解算法
- 批准号:
2416172 - 财政年份:2023
- 资助金额:
$ 32.12万 - 项目类别:
Standard Grant
CRII: CCF: AF: Decomposition Algorithms for nonconvex nonsmooth constrained stochastic programs
CRII:CCF:AF:非凸非光滑约束随机程序的分解算法
- 批准号:
2153352 - 财政年份:2022
- 资助金额:
$ 32.12万 - 项目类别:
Standard Grant
Collaborative Research: Probing Causal Links Among Volcanism, Dust, and Carbon Burial in the Permian - a Harbinger of the Future?
合作研究:探索二叠纪火山、尘埃和碳埋藏之间的因果关系——未来的预兆?
- 批准号:
2103088 - 财政年份:2021
- 资助金额:
$ 32.12万 - 项目类别:
Standard Grant
A new high-resolution stratigraphic record of the Paleocene-Eocene Thermal Maximum in the Eastern Tethys
东特提斯古新世-始新世热最大值的新高分辨率地层记录
- 批准号:
2002370 - 财政年份:2020
- 资助金额:
$ 32.12万 - 项目类别:
Standard Grant
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