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NRT: Ecosystem science in the face of rapid ocean change: a convergence approach

NRT: Ecosystem science in the face of rapid ocean change: a convergence approach
NRT:面对快速海洋变化的生态系统科学:融合方法
批准号:
2244117
负责人:
Joshua Stoll
金额:
$299.18万
依托单位:
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2023
资助国家:
美国
项目状态:
未结题
起止时间:
2023-08-01 至 2028-07-31

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中文摘要
翻译
NRT:面对快速海洋变化的生态系统科学:融合方法这个授予缅因州大学的国家科学基金会研究培训(NRT)奖将利用缅因湾的独特资源,培训下一代科学家、管理者和政策制定者,以一种新的、融合的方法研究生态系统科学。研究人员、学生和社区合作伙伴将产生、整合和应用跨学科知识,为应对快速海洋变化提供信息。计划参与者将开发理解和创建数据、知识和工具的新方法,这些数据、知识和工具可用于支持基于生态系统的方法。NRT计划活动将有助于解决缅因州沿海社区面临的挑战,并与其他依赖自然资源的农村社区相关。NRT还将通过从代表性不足的群体中招募受训人员和培训一支承认可用于基于生态系统的管理(EBM)和气候适应能力的各种知识和工具的劳动力队伍,扩大对海洋科学的参与,从而使社会受益。项目参与者将贡献科学和工具,供地方、州、部落和联邦资源管理者使用,以实现基于生态系统的对快速海洋变化的反应,并开发综合数据流和工具,将传统和当地生态知识、现有渔业和环境科学方法以及新的和新兴的数据流融合在一起。科学家、环境专业人员和其他沿海社区成员的能力将得到加强,因为他们更充分地准备从事面向解决方案的科学和管理工作。NRT项目预计将在5年内培养至少45名研究生(22名博士,23名硕士),其中包括23名由NSF资助的受训人员(11名博士,12名硕士)。该项目将鼓励来自自然科学和社会科学的学者增进循证医学知识和实践,同时赋予社区、部落和政府合作伙伴更深入地参与生态系统科学和管理的能力。循证管理是指对人类与海洋物种和生态系统的互动进行以地点为基础的管理,有助于系统的复原力和可持续性;认识到人与系统其他要素之间的相互和多方面的联系,并寻求实现多种社会目标。NRT将通过课程作业、社区参与和合作研究来开发和制度化新的课程和学术文化;建设社区和政府为缅因州及其他地区的循证医学做出贡献的能力;创建一种新的模式,让不同的学员参与以地点为基础、以解决方案为导向的科学;并开发方法,将来自计算科学、生态学、基因组学、海洋学和社会科学的大数据与传统和当地的生态知识整合和交流,以促进生态系统科学,改善海洋系统的管理。通过汇聚当地和传统知识、精细的环境和社会数据以及新的和新兴的数据驱动方法,NRT计划将以新的方式发展沿海海洋生态系统科学的智力前沿和应用。该团队将生成和合成经验信息,并开发和测试与生态学、环境治理和社会环境系统科学深度相关的理论。学员将生成与缅因州气候行动计划的气候缓解和适应战略直接相关的数据、知识和工具。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、具有潜在变革性的新模式。该计划致力于通过创新的、基于证据的、与不断变化的劳动力和研究需求保持一致的综合实习生模式,在高度优先的跨学科或趋同研究领域对STEM研究生进行有效培训。该奖项反映了NSF的法定使命,并通过使用基金会的智力优势和更广泛的影响审查标准进行评估,被认为值得支持。
英文摘要
NRT: Ecosystem science in the face of rapid ocean change: a convergence approachThis National Science Foundation Research Traineeship (NRT) award to the University of Maine will leverage the unique resources of the Gulf of Maine to train the next generation of scientists, managers, and policymakers in a new, convergent approach to ecosystem science. Researchers, students and community partners will generate, integrate, and apply transdisciplinary knowledge to inform responses to rapid ocean change. Program participants will develop new ways of understanding and creating data, knowledge, and tools that can be leveraged to enable ecosystem-based approaches. The NRT program activities will help to address the challenges facing Maine’s coastal communities, and are relevant to other natural resource dependent rural communities. This NRT will also benefit society by broadening participation in marine science through the recruitment of trainees from underrepresented groups and training a workforce that recognizes the full array of knowledge and tools available for ecosystem based management (EBM) and climate resilience. Project participants will contribute science and tools that local, state, tribal and federal resource managers can use to enable ecosystem-based responses to rapid ocean change and develop integrative data streams and tools that blend traditional and local ecological knowledge, existing fisheries and environmental science approaches, and new and emergent data streams. The capacity of scientists, environmental professionals, and other coastal community members will be strengthened as they are more fully prepared to engage in solutions-oriented science and stewardship. This NRT project anticipates training at least 45 graduate students (22 PhD, 23 MS) over 5 years, including 23 NSF-funded trainees (11 PhD, 12 MS).This NRT will encourage scholars from across the natural and social sciences to advance EBM knowledge and practice, while empowering community, tribal, and government partners to engage more deeply in ecosystem science and stewardship. EBM refers to place-based management of human interactions with marine species and ecosystems that contributes to the resilience and sustainability of the system; recognizes the reciprocal and multifaceted connections among people and other elements of the system, and seeks to achieve multiple societal goals. The NRT will develop and institutionalize a new curriculum and academic culture through coursework, community engagement, and collaborative research; build community and government capacity to contribute to EBM in Maine and beyond, create a novel model for engaging diverse trainees in place-based, solutions-oriented science, and develop ways of for integrating and communicating big data from computational science, ecology, genomics, oceanography, and the social sciences with traditional and local ecological knowledge to advance ecosystem science and improve stewardship of ocean systems. Through the convergence of local and traditional knowledge, fine-scale environmental and social data, and new and emerging data-driven methods, this NRT program will develop the intellectual frontier and applications of coastal marine ecosystem science in new ways. The team will generate and synthesize empirical information and develop and test theories deeply relevant to ecology, environmental governance, and socio-environmental systems science. Trainees will generate data, knowledge and tools directly relevant to the Maine Climate Action Plan’s climate mitigation and adaptation strategies.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 program is dedicated to effective training of STEM graduate students in high priority interdisciplinary or convergent research areas through comprehensive traineeship models that are innovative, evidence-based, and aligned with changing workforce and research needs.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.
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