AccelNet-Implementation: Implementing a Deep Ocean Observing Strategy (iDOOS)

AccelNet-Implementation：实施深海观测策略 (iDOOS)

• 批准号: 2114717
• 负责人: Patrick Heimbach
• 金额: $ 199.29万
• 依托单位: University of Texas at Austin
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2021
• 资助国家: 美国
• 起止时间: 2021-10-01 至 2025-09-30
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2114717&HistoricalAwards=false
• 关键词: AccelNet; Implementation; Implementing; Deep; Ocean

The deep ocean below 200 m is poorly known. This dynamic realm is a vast repository for biodiversity, provides critical climate regulation, and houses a wealth of hydrocarbon, mineral, and genetic resources. Observing the deep ocean at a level required to inform sustainable development and management faces significant technical and logistical challenges. To address these challenges, the iDOOS project will implement a Deep-Ocean Observing Strategy (DOOS) that brings together U.S. and international networks engaged in sustained deep-ocean observing, mapping, exploration, modeling, research, and management to leverage each other’s efforts, knowledge, and resources. This implementation project will boost the DOOS community-driven initiative, working under the umbrella of the Global Ocean Observing System (GOOS) and endorsed as a United Nations Ocean Decade Action. By connecting deep-ocean observers across disciplines, expanding the observing community to include non-traditional partners, and linking data providers to users, iDOOS will enhance the GOOS deep-ocean capabilities and target societal needs. Through engagement with policy makers, regulators, and science coordinators, iDOOS will raise awareness and support for deep-ocean science, and bring science into critical decisions regarding climate, biodiversity and sustainability. iDOOS will foster a community of future leaders informed in deep-ocean observing, modeling, and data science at a global level who are adept at communicating to regulators and policy makers as well as fellow scientists.iDOOS addresses three main themes: (1) requirement setting for deep ocean observing; (2) promoting the coordination and implementation of integrated observing to address Sustainable Development Goals and societal needs; and (3) translating knowledge and data to allow science-based decision-making, regulation and governance of the global deep ocean. These themes will be integrated and applied via the framework of regional demonstration projects. iDOOS will work with the GOOS disciplinary expert panels to refine Essential Ocean Variables in terms of deep ocean requirements, and with network partners to maximize their implementation and use. In addition, the project has two cross-cutting activities. A focus on data/informatics will contribute best practices and standards to the requirement-setting theme, support activities across the working groups, and offer tailored training to early-career researchers. The project aims to enable findable, accessible, interoperable, and reusable (FAIR) deep-sea data and a data-enabled, deep-sea workforce. A key element of iDOOS is the mentorship and training of the next generation. iDOOS will assemble a network of Deep Ocean Early career Researchers (DOERs) drawing from collaborating networks, the broader deep-ocean observing community, as well as from developing countries and indigenous communities. Through the theme working groups, the project will conduct training activities and meetings to substantially improve justice, equity, diversity, inclusion, and belonging among the participating networks and more broadly within deep-ocean science.The Accelerating Research through International Network-to-Network Collaborations (AccelNet) program is designed to accelerate the process of scientific discovery and prepare the next generation of U.S. researchers for multiteam international collaborations. The AccelNet program supports strategic linkages among U.S. research networks and complementary networks abroad that will leverage research and educational resources to tackle grand scientific challenges that require significant coordinated international efforts.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.

200 米以下的深海鲜为人知，它是生物多样性的巨大宝库，提供了关键的气候调节，并蕴藏着丰富的碳氢化合物、矿物和遗传资源，可在可持续发展所需的水平上进行观测。为了应对这些挑战，iDOOS 项目将实施一项深海观测战略 (DOOS)，将美国和国际参与网络持续进行深海观测、测绘、勘探、建模、该实施项目将推动 DOOS 社区驱动的倡议，在全球海洋观测系统 (GOOS) 的框架下开展工作，并被认可为联合国海洋十年行动。通过连接跨学科的深海观测者、扩大观测社区以纳入非传统合作伙伴以及将数据提供者与用户联系起来，iDOOS 将增强 GOOS 深海能力并通过与政策制定者、监管机构和社会需求进行接触。 iDOOS 将提高对深海科学的认识和支持，并将科学纳入有关气候、生物多样性和可持续性的关键决策中，iDOOS 将培养一个了解深海观测、建模和数据科学的未来领导者社区。 iDOOS 涉及三个主题：(1) 深海观测的要求设定；(2) 促进综合观测的协调和实施，以实现可持续发展目标和社会需求；以及(3) 转化知识和数据，以便对全球深海进行基于科学的决策、监管和治理。 iDOOS 将与 GOOS 学科专家小组合作，整合和应用这些主题。根据深海需求，并与网络合作伙伴一起完善基本海洋变量，以最大限度地提高其实施和使用此外，该项目还有两项跨领域活动，重点关注数据/信息学，将为需求提供最佳实践和标准。设定主题，支持整个活动该项目旨在实现可查找、可访问、可互操作和可重用 (FAIR) 的深海数据以及由数据驱动的深海劳动力。 iDOOS 将组建一个由合作网络、更广泛的深海观测界以及发展中国家和土著社区组成的深海早期职业研究人员 (DOER) 网络。通过主题工作组，该项目将开展培训活动和会议，以大幅改善参与网络以及更广泛的深海科学领域的正义、公平、多样性、包容性和归属感。通过国际网络到网络加速研究合作 (AccelNet) 计划旨在加速科学发现的进程，并为下一代美国研究人员进行多团队国际合作做好准备。 AccelNet 计划支持美国研究网络和国外互补网络之间的战略联系，利用研究和教育资源，解决需要重大协调国际努力的重大科学挑战。该奖项反映了 NSF 的法定使命，并通过使用基金会的智力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

The Deep Ocean Observing Strategy: Addressing Global Challenges in the Deep Sea Through Collaboration

深海观测战略：通过合作应对深海全球挑战

• DOI: 10.4031/mtsj.56.3.11
• 发表时间: 2022-06
• 期刊: Marine Technology Society Journal
• 影响因子: 0.8
• 作者: Smith, Leslie M.;Cimoli, Laura;LaScala;Pachiadaki, Maria;Phillips, Brennan;Pillar, Helen;Stopa, Justin E.;Baumann;Beaulieu, Stace E.;Bell, Katherine L.C.;et al
• 通讯作者: et al

SMART Cables Observing the Oceans and Earth

观测海洋和地球的智能电缆

• DOI: 10.4031/mtsj.56.5.3
• 发表时间: 2022-10
• 期刊: Marine Technology Society Journal
• 影响因子: 0.8
• 作者: Rowe, Charlotte A.;Howe, Bruce M.;Fouch, Matthew J.;Angove, Michael;Aucan, Jerome;Barnes, Christopher R.;Bayliff, Nigel;Becker, Nathan C.;Carrilho, Fernando;Fry, Bill;et al
• 通讯作者: et al

Deep sea nature-based solutions to climate change

基于深海自然的气候变化解决方案

• DOI: 10.3389/fclim.2023.1169665
• 发表时间: 2023-07-06
• 期刊: Proceedings of the Genetic and Evolutionary Computation Conference
• 作者: Nathalie Hilmi;M. Sutherl;S. Farahm;G. Haraldsson;Erik van Doorn;Ekkehard Ernst;M. Wisz;Astrid Claudel Rusin;Laura G. Elsler;L. Levin
• 通讯作者: L. Levin

Integrating Multidisciplinary Observations in Vent Environments (IMOVE): Decadal Progress in Deep-Sea Observatories at Hydrothermal Vents

整合喷口环境中的多学科观测（IMOVE）：热液喷口深海观测站的十年进展

• DOI: 10.3389/fmars.2022.866422
• 发表时间: 2022-05
• 期刊: Frontiers in Marine Science
• 影响因子: 3.7
• 作者: Matabos, Marjolaine;Barreyre, Thibaut;Juniper, S. Kim;Cannat, Mathilde;Kelley, Deborah;Alfaro;Chavagnac, Valérie;Colaço, Ana;Escartin, Javier;Escobar, Elva;et al
• 通讯作者: et al

Designing, generating, and translating deep-ocean observations for and with international policy makers

为国际政策制定者并与国际政策制定者一起设计、生成和翻译深海观测结果

• DOI: 10.1093/icesjms/fsac143
• 发表时间: 2022-08
• 期刊: ICES Journal of Marine Science
• 影响因子: 3.3
• 作者: Levin, Lisa A.;Cimoli, Laura;Gjerde, Kristina;Harden;Heimbach, Patrick;LaScala;Pachiadaki, Maria;Pillar, Helen R.;Smith, Leslie M.;Stocks, Karen;et al
• 通讯作者: et al