Collaborative Research: Network Cluster: Using Big Data approaches to assess ecohydrological resilience across scales
合作研究:网络集群:使用大数据方法评估跨尺度的生态水文恢复力
基本信息
- 批准号:2012123
- 负责人:
- 金额:$ 319.91万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Cooperative Agreement
- 财政年份:2020
- 资助国家:美国
- 起止时间:2020-09-01 至 2025-08-31
- 项目状态:未结题
- 来源:
- 关键词:
项目摘要
The part of the Earth surface that sustains life (the Critical Zone) consists of bedrock, soil, water, air, and living things that have been interacting for billions of years. The Critical Zone can absorb many disturbances while still supporting life on Earth, but the age of humans or the “Anthropocene” has put unprecedented pressure on the Critical Zone. When long-term disturbances like climate change are combined with short-term disturbances like fires or flooding, ecosystems can be pushed past a breaking point where important ecosystem services shut down. This project seeks to understand and predict Critical Zone resilience in the face of multiple natural and human disturbances. The research will combine river flow and chemistry data from throughout the U.S. to shed light on how quickly ecosystems recover from local disturbances and to what degree long-term change is altering the structure of the Critical Zone. The team of researchers will combine ecological approaches with data science methods to analyze large quantities of information from thousands of locations. Existing data from public and private organizations across the U.S. will be compiled into a publicly available data base to compare ecosystem recovery times and trajectories. The general patterns observed in the “big data” analysis will be tested by in-depth field studies at four sites experiencing multiple disturbances such as wildfire, acidification, and extreme storms. This project will help Earth science researchers and educators across the U.S. develop a deeper understanding of how the Earth system maintains itself and how humans can avoid eroding the ecosystem services that sustain us. To achieve this goal, all data and approaches will be shared publicly and the research team will lead an innovative outreach and education program. This comprehensive program will educate 7-12 grade teachers to bring cutting-edge ecology and data science to schools across America. To enhance diversity in Earth science and data science, a field camp will be co-designed and implemented in collaboration with historically black colleges and universities. While observatory-based Critical Zone research produces important findings on catchment-scale processes, the global scale of disturbance in the Anthropocene transcends the bounds of a single site or funding cycle, posing a challenge for traditional investigative approaches. This spatial and temporal mismatch significantly limits the predictive power of individual site studies in the context of regional- to continental-scale environmental change. To advance network-scale syntheses and integrate across scales, this project will apply an iterative “pattern to process” and “process to pattern” approach to investigate how Critical Zone structure controls water, carbon, nutrients, and response to overlapping disturbances in the context of multi-dimensional resilience. In this context, the overarching hypothesis is that Critical Zone structure (i.e. configuration of biological, chemical, and physical characteristics) controls the timing, direction, and intensity of linkages among multiple responses and that these linkages regulate ecosystem resilience and resistance to climate and land cover disturbance. To test this overarching hypothesis, (1) existing ecohydrological data will be compiled from across the continental U.S. into a multi-dimensional Critical Zone database, (2) advanced statistical analysis will be performed using complex-systems tools on “big data” to identify state changes in ecological function and ecosystem services, (3) process-hypotheses will be refined based on these data-driven approaches, and (4) in-depth process investigations will be performed at four high-vulnerability focal sites in the northeast and southwest. The database and complex-systems approaches will be shared to empower the Critical Zone community to transition into a phase of data-driven hypothesis generation and cross-site research. To broaden the participation of underrepresented groups in Critical Zone and data science the project will educate and empower a diverse new generation of STEM thinkers from middle and high school to the graduate college level. A comprehensive grade 7-12 education program will reach hundreds of students from high-need Vermont schools (historically marginalized economic, racial or disability groupings) by “educating the educators” in Critical Zone and data science. Furthermore, in collaboration with HBCUs, outdoor education on Critical Zone and data science will be designed and implemented for a diverse group of undergraduate students. This project is jointly funded by the Critical Zone Collaborative Network Program, the Hydrologic Sciences Program in the NSF Division of Earth Sciences, and the Established Program to Stimulate Competitive Research (EPSCoR).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.
地球表面维持生命的部分(临界带)由基岩、土壤、水、空气和生物组成,这些生物已经相互作用了数十亿年。临界带可以吸收许多干扰,同时仍然支持地球上的生命,但人类时代或“人类世”给临界带带来了前所未有的压力。当气候变化等长期干扰与火灾或洪水等短期干扰结合在一起时,生态系统就会被推到一个临界点,重要的生态系统服务就会停止。该项目旨在了解和预测面对多重自然和人为干扰的关键区域的恢复能力。这项研究将结合来自美国各地的河流流量和化学数据,以阐明生态系统从局部干扰中恢复的速度有多快,以及长期变化在多大程度上改变了关键地带的结构。研究小组将把生态方法与数据科学方法结合起来,分析来自数千个地点的大量信息。来自美国各地公共和私人组织的现有数据将被汇编成一个公开可用的数据库,以比较生态系统恢复的时间和轨迹。在“大数据”分析中观察到的一般模式将在四个经历野火、酸化和极端风暴等多重干扰的地点进行深入的实地研究。该项目将帮助美国各地的地球科学研究人员和教育工作者更深入地了解地球系统如何维持自身,以及人类如何避免侵蚀维持我们生存的生态系统服务。为了实现这一目标,所有的数据和方法都将公开共享,研究团队将领导一个创新的推广和教育计划。这个综合项目将教育7-12年级的教师将前沿的生态学和数据科学带到美国各地的学校。为了加强地球科学和数据科学的多样性,将与历史上的黑人学院和大学合作,共同设计和实施一个实地营地。虽然基于观测站的临界带研究在流域尺度过程方面取得了重要发现,但人类世全球尺度的扰动超出了单个地点或资金周期的范围,对传统的调查方法提出了挑战。这种时空不匹配极大地限制了在区域到大陆尺度环境变化背景下单个站点研究的预测能力。为了推进网络尺度的综合和跨尺度的整合,本项目将采用迭代的“模式到过程”和“过程到模式”方法来研究在多维弹性背景下,关键区域结构如何控制水、碳、营养物质以及对重叠干扰的响应。在此背景下,首要的假设是,关键带结构(即生物、化学和物理特征的配置)控制着多种响应之间联系的时间、方向和强度,这些联系调节着生态系统的恢复能力和对气候和土地覆盖干扰的抵抗力。为了验证这一总体假设,(1)现有的生态水文数据将从美国大陆各地汇编成一个多维的关键区数据库,(2)将使用复杂系统的“大数据”工具进行高级统计分析,以确定生态功能和生态系统服务的状态变化,(3)过程假设将基于这些数据驱动的方法进行完善。(4)对东北和西南4个高易损性震源点进行深入的过程调查。数据库和复杂系统方法将被共享,以使关键区域社区能够过渡到数据驱动的假设生成和跨站点研究阶段。为了扩大未被充分代表的群体在关键区域和数据科学领域的参与,该项目将教育和授权从初中和高中到研究生大学水平的多元化新一代STEM思考者。一个全面的7-12年级教育计划将通过“教育教育工作者”在关键区域和数据科学方面的“教育”,覆盖来自佛蒙特州高需求学校(历史上被边缘化的经济、种族或残疾群体)的数百名学生。此外,与hbcu合作,将为不同群体的本科生设计和实施关键区域和数据科学的户外教育。该项目由关键区域协作网络计划、美国国家科学基金会地球科学部水文科学计划和促进竞争性研究的既定计划(EPSCoR)共同资助。该奖项反映了美国国家科学基金会的法定使命,并通过使用基金会的知识价值和更广泛的影响审查标准进行评估,被认为值得支持。
项目成果
期刊论文数量(14)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Disentangling the responses of dissolved organic carbon and nitrogen concentrations to overlapping drivers in a northeastern United States forested watershed
解开美国东北部森林流域溶解有机碳和氮浓度对重叠驱动因素的响应
- DOI:10.3389/frwa.2023.1065300
- 发表时间:2023
- 期刊:
- 影响因子:2.9
- 作者:Ruckhaus, Manya;Seybold, Erin C.;Underwood, Kristen L.;Stewart, Bryn;Kincaid, Dustin W.;Shanley, James B.;Li, Li;Perdrial, Julia N.
- 通讯作者:Perdrial, Julia N.
Deep denitrification: Stream and groundwater biogeochemistry reveal contrasted but connected worlds above and below
深度反硝化:溪流和地下水生物地球化学揭示了上下截然不同但又相互联系的世界
- DOI:10.1016/j.scitotenv.2023.163178
- 发表时间:2023
- 期刊:
- 影响因子:9.8
- 作者:Severe, Emilee;Errigo, Isabella M.;Proteau, Mary;Sayedi, Sayedeh Sara;Kolbe, Tamara;Marçais, Jean;Thomas, Zahra;Petton, Christophe;Rouault, François;Vautier, Camille
- 通讯作者:Vautier, Camille
Complex Drivers of Riparian Soil Oxygen Variability Revealed Using Self‐Organizing Maps
- DOI:10.1029/2022wr034022
- 发表时间:2021-12
- 期刊:
- 影响因子:5.4
- 作者:B. Lancellotti;Kristen L. Underwood;J. Perdrial;C. Adair;A. Schroth;E. Roy
- 通讯作者:B. Lancellotti;Kristen L. Underwood;J. Perdrial;C. Adair;A. Schroth;E. Roy
Climate Controls on River Chemistry
- DOI:10.1029/2021ef002603
- 发表时间:2022-05
- 期刊:
- 影响因子:0
- 作者:Li Li-Li;Bryn Stewart;Wei Zhi;K. Sadayappan;S. Ramesh;Devon Kerins;Gary Sterle;A. Harpold;J. Perdrial
- 通讯作者:Li Li-Li;Bryn Stewart;Wei Zhi;K. Sadayappan;S. Ramesh;Devon Kerins;Gary Sterle;A. Harpold;J. Perdrial
Winter runoff events pose an unquantified continental-scale risk of high wintertime nutrient export
- DOI:10.1088/1748-9326/ac8be5
- 发表时间:2022
- 期刊:
- 影响因子:6.7
- 作者:E. Seybold;R. Dwivedi;K. Musselman;D. Kincaid;A. Schroth;A. Classen;J. Perdrial;E. Adair
- 通讯作者:E. Seybold;R. Dwivedi;K. Musselman;D. Kincaid;A. Schroth;A. Classen;J. Perdrial;E. Adair
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Julia Perdrial其他文献
Julia Perdrial的其他文献
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{{ truncateString('Julia Perdrial', 18)}}的其他基金
Collaborative Research: Combining complex systems tools, process-based modelling and experiments to bridge scales in low temperature geochemistry
协作研究:结合复杂系统工具、基于过程的建模和实验来弥补低温地球化学的规模
- 批准号:
1724171 - 财政年份:2018
- 资助金额:
$ 319.91万 - 项目类别:
Standard Grant
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- 批准号:10774081
- 批准年份:2007
- 资助金额:45.0 万元
- 项目类别:面上项目
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