NRT: A training incubator for addressing urban environmental change from Ridge to Reef (R2R)

NRT：解决从山脊到礁石（R2R）的城市环境变化的培训孵化器

• 批准号: 1735040
• 负责人: Steven Allison
• 金额: $ 300万
• 依托单位: University of California-Irvine
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2017
• 资助国家: 美国
• 起止时间: 2017-09-01 至 2023-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1735040&HistoricalAwards=false
• 关键词: NRT; training; incubator; addressing; urban

Urban and suburban areas, particularly in southern California, face multiple environmental challenges such as wildfires, pollution, and sea level rise. To address these challenges successfully will require strong partnerships that cross academic and government agency boundaries and that engage all stakeholders. This National Science Foundation Research Traineeship (NRT) award to the University of California, Irvine, will establish the Ridge-to-Reef (R2R) training model for community-engaged graduate training through partnerships with government agencies, non-governmental organizations, and the private sector. The primary goal of R2R is to train the next generation of professionals with the skills required to translate conceptual knowledge into practical environmental solutions in urban landscapes. R2R anticipates training forty-five (45) PhD or Master's students, including twenty-five (25) funded trainees from ecology, engineering, and earth system science programs. This graduate research training program will foster a skilled workforce to tackle relevant problems facing urban environments. The R2R training program will actively engage with government agencies, non-governmental organizations, and the private sector to develop research questions and methods so that outcomes align with real-world problems. A Research in Action Internship (RAIN) program will provide students with hands-on skills training guided by the partners and academic faculty. The R2R curriculum will focus on interdisciplinary knowledge, communication skills, and professional development. A summer institute will teach data analysis skills, and an environmental solutions practicum will require trainees to apply their knowledge to real-world problems and datasets. Trainees who complete program requirements and an internship will receive a Certificate in Urban Ecosystem Management to facilitate career placement. Research products and curriculum materials will be disseminated to enrich graduate programs outside UC Irvine. By training the next generation of environmental problem solvers, R2R will enhance the sustainable management of urban ecosystems. The NSF Research Traineeship (NRT) Program is designed to encourage the development and implementation of bold, new potentially transformative models for STEM graduate education training. The Traineeship Track is dedicated to effective training of STEM graduate students in high priority interdisciplinary research areas, through comprehensive traineeship models that are innovative, evidence-based, and aligned with changing workforce and research needs.

城市和郊区，特别是加州南部，面临着野火、污染和海平面上升等多重环境挑战。要成功应对这些挑战，就需要建立强有力的伙伴关系，这种伙伴关系跨越学术界和政府机构的界限，并让所有利益攸关方参与进来。这个国家科学基金会研究培训（NRT）奖给加州大学欧文分校，将通过与政府机构，非政府组织和私营部门的合作伙伴关系，为社区参与的研究生培训建立山脊到珊瑚礁（R2R）培训模式。R2R的主要目标是培养下一代专业人士，使其具备将概念知识转化为城市景观中实际环境解决方案所需的技能。 R2R预计将培训45名博士或硕士生，其中包括25名来自生态学，工程学和地球系统科学项目的资助学员。该研究生研究培训计划将培养一支熟练的劳动力队伍，以解决城市环境面临的相关问题。 R2R培训计划将积极与政府机构，非政府组织和私营部门合作，制定研究问题和方法，使结果与现实世界的问题保持一致。行动研究实习（RAIN）计划将为学生提供由合作伙伴和学术教师指导的实践技能培训。R2R课程将侧重于跨学科知识，沟通技巧和专业发展。暑期学院将教授数据分析技能，环境解决方案实习将要求学员将他们的知识应用于现实世界的问题和数据集。完成课程要求和实习的学员将获得城市生态系统管理证书，以促进职业安置。研究产品和课程材料将被传播，以丰富加州大学欧文分校以外的研究生课程。通过培训下一代环境问题解决者，R2R将加强城市生态系统的可持续管理。NSF研究培训（NRT）计划旨在鼓励为STEM研究生教育培训开发和实施大胆的，新的潜在变革模式。培训课程致力于在高优先级的跨学科研究领域对STEM研究生进行有效培训，通过全面的培训模式，这些模式具有创新性，以证据为基础，并与不断变化的劳动力和研究需求保持一致。

项目成果

Recent Tree Mortality Dampens Semi‐Arid Forest Die‐Off During Subsequent Drought

最近的树木死亡率减少了半干旱森林在随后的干旱期间的死亡

• DOI: 10.1029/2022av000810
• 发表时间: 2023
• 期刊: AGU Advances
• 影响因子: 8.4
• 作者: Norlen, Carl A.;Goulden, Michael L.
• 通讯作者: Goulden, Michael L.

Application of remote sensing precipitation data and the CONNECT algorithm to investigate spatiotemporal variations of heavy precipitation: Case study of major floods across Iran (Spring 2019)

应用遥感降水数据和CONNECT算法研究强降水时空变化：以伊朗特大洪水为例（2019年春季）

• DOI: 10.1016/j.jhydrol.2021.126569
• 发表时间: 2021
• 期刊: Journal of Hydrology
• 影响因子: 6.4
• 作者: Sadeghi, Mojtaba;Shearer, Eric J.;Mosaffa, Hamidreza;Gorooh, Vesta Afzali;Rahnamay Naeini, Matin;Hayatbini, Negin;Katiraie-Boroujerdy, Pari-Sima;Analui, Bita;Nguyen, Phu;Sorooshian, Soroosh
• 通讯作者: Sorooshian, Soroosh

Cannibalism of newly metamorphosed juvenile sea stars

新变态的幼年海星的同类相食行为

• DOI: 10.1002/ecy.3352
• 发表时间: 2021
• 期刊: Ecology
• 影响因子: 4.8
• 作者: Brocco French, Karina Inge;Allen, Jonathan D.
• 通讯作者: Allen, Jonathan D.

Direct measurements of ozone response to emissions perturbations in California

直接测量臭氧对加利福尼亚州排放扰动的响应

• DOI: 10.5194/acp-22-4929-2022
• 发表时间: 2022
• 期刊: Atmospheric Chemistry and Physics
• 影响因子: 6.3
• 作者: Wu, Shenglun;Lee, Hyung Joo;Anderson, Andrea;Liu, Shang;Kuwayama, Toshihiro;Seinfeld, John H.;Kleeman, Michael J.
• 通讯作者: Kleeman, Michael J.

Modeling of VOCs and criteria pollutants from multiple natural gas well pads in close proximity, for different terrain conditions: A Barnett Shale case study

针对不同地形条件，对邻近多个天然气井场的 VOC 和标准污染物进行建模：Barnett 页岩案例研究

• DOI: 10.1016/j.apr.2019.02.007
• 发表时间: 2019
• 期刊: Atmospheric Pollution Research
• 影响因子: 4.5
• 作者: Khalaj, Farzaneh;Sattler, Melanie
• 通讯作者: Sattler, Melanie