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NSF Convergence Accelerator Track E: Regional Climate Change Projections to Enable Equitable Ocean Planning for the Blue Economy

NSF 融合加速器轨道 E：区域气候变化预测，以实现蓝色经济的公平海洋规划

基本信息

批准号：
2137701
负责人：
Malin Pinsky
金额：
$ 75万
依托单位：
Rutgers University New Brunswick
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 2023-09-30
项目状态：
已结题

来源：
https://www.nsf.gov/awardsearch/showAward?AWD_ID=2137701&HistoricalAwards=false
关键词：
NSF Convergence Accelerator Track Regional

项目摘要

CBET-2137701NSF Convergence Accelerator Track E: Regional climate change projections to enable equitable ocean planning for the blue economy.The coastal ocean can dramatically enhance human well-being through sustainable seafood, clean energy production, spiritual rejuvenation, satisfying careers, and abundant natural resources. To make important decisions about use of the coastal ocean, humans largely rely on past experience. With climate change, however, past experience is no longer an adequate reference for the future. There is an urgent need for individuals and organizations engaged in ocean activities to anticipate future changes and make decisions that are robust to an uncertain future. The project's overarching objectives are to: 1) Guide the development of the offshore ocean economy with projections of climate impacts on wind energy, fisheries, and conservation, 2) Collaboratively design web tools that empower diverse community members to integrate climate information into their decision-making, and 3) Develop methods for engaging marginalized communities in decisions about the development of the regional ocean economy. Business investment in fisheries infrastructure, port development, offshore wind energy siting, ocean planning, and conservation planning are all examples of important decisions that climate projections can inform. This project aims to enable climate-ready, coordinated, and inclusive decision making throughout the blue economy and spark a new generation of durable blue development. Informing decisions with future climate information requires a keen understanding of and engagement with the audience, including efforts to match the temporal and spatial scales at which people need information, inform decisions that benefit from climate knowledge, and respond to the policy ecosystem in which decisions are made. There has been a persistent gap between climate data production and its use, largely because too much climate science is useful but not readily usable. This proposal is designed to bridge this usability gap through knowledge co-production with diverse actors in the regional blue economy in order to translate useful climate impact data into credible and accessible knowledge that informs more equitable blue economy decisions. By integrating climate models with ecological and economic models, this project will develop temporally and spatially downscaled projections of climate impacts on fisheries, offshore wind resources, and conservation opportunities that match the scales of decision-making. To make these projections usable, the project will collaboratively design a prototype decision support tool that empowers diverse community members to integrate climate information into their decision-making and develop participatory processes for engaging marginalized communities in regional ocean planning. The broader impacts of the project include improved well-being through more effective and durable ocean decisions, broadened participation of marginalized groups in ocean planning, and broadened participation of members of underrepresented groups in science.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.

CBET-2137701 NSF Convergence Accelerator Track E：区域气候变化预测，为蓝色经济提供公平的海洋规划沿海海洋可以通过可持续的海产品、清洁能源生产、精神复兴、令人满意的职业和丰富的自然资源，极大地提高人类福祉。在对沿海海洋的使用做出重要决定时，人类在很大程度上依赖于过去的经验。然而，在气候变化问题上，过去的经验不再是未来的充分参考。从事海洋活动的个人和组织迫切需要预测未来的变化，并作出能够应对不确定未来的决定。该项目的总体目标是：1）通过预测气候对风能、渔业和保护的影响来指导近海海洋经济的发展，2）合作设计网络工具，使不同的社区成员能够将气候信息纳入其决策，3）制定使边缘化社区参与区域海洋经济发展决策的方法。在渔业基础设施、港口开发、海上风能选址、海洋规划和保护规划方面的商业投资都是气候预测可以提供信息的重要决策的例子。该项目旨在推动整个蓝色经济的气候准备，协调和包容性决策，并引发新一代可持续的蓝色发展。用未来的气候信息为决策提供信息，需要对受众有敏锐的理解并与之互动，包括努力使人们需要信息的时间和空间尺度相匹配，为受益于气候知识的决策提供信息，并对决策所处的政策生态系统作出反应。气候数据的制作和使用之间一直存在差距，这主要是因为太多的气候科学是有用的，但并不容易使用。该提案旨在通过与区域蓝色经济中的不同行为者共同制作知识来弥合这一可用性差距，以便将有用的气候影响数据转化为可信和可获取的知识，为更公平的蓝色经济决策提供信息。通过将气候模型与生态和经济模型相结合，该项目将制定与决策规模相匹配的气候对渔业、海上风力资源和保护机会的影响的时间和空间缩减预测。为了使这些预测有用，该项目将合作设计一个原型决策支持工具，使不同的社区成员能够将气候信息纳入其决策，并制定参与性进程，使边缘化社区参与区域海洋规划。该项目更广泛的影响包括通过更有效和持久的海洋决策改善福祉，扩大边缘化群体对海洋规划的参与，扩大代表性不足群体成员对科学的参与。该奖项反映了NSF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（5）

专著数量（0）

科研奖励数量（0）

会议论文数量（0）

专利数量（0）

Marine heatwaves are not a dominant driver of change in demersal fishes

海洋热浪并不是底层鱼类变化的主要驱动力

DOI：
10.1038/s41586-023-06449-y
发表时间：
2023
期刊：
Nature
影响因子：
64.8
作者：
Fredston, Alexa L.;Cheung, William W.;Frölicher, Thomas L.;Kitchel, Zoë J.;Maureaud, Aurore A.;Thorson, James T.;Auber, Arnaud;Mérigot, Bastien;Palacios-Abrantes, Juliano;Palomares, Maria Lourdes
通讯作者：
Palomares, Maria Lourdes

Unifying climate change biology across realms and taxa

统一跨领域和分类单元的气候变化生物学

DOI：
10.1016/j.tree.2022.04.011
发表时间：
2022
期刊：
Trends in Ecology & Evolution
影响因子：
16.8
作者：
Pinsky, Malin L.;Comte, Lise;Sax, Dov F.
通讯作者：
Sax, Dov F.

An ecosystem-based natural capital evaluation framework that combines environmental and socio-economic implications of offshore renewable energy developments

基于生态系统的自然资本评估框架，结合了海上可再生能源开发的环境和社会经济影响

DOI：
10.1088/2516-1083/ac702a
发表时间：
2022
期刊：
Progress in Energy
影响因子：
0
作者：
Trifonova, Neda;Scott, Beth;Griffin, Robert;Pennock, Shona;Jeffrey, Henry
通讯作者：
Jeffrey, Henry

A framework for categorizing the interactions of offshore windfarms and fisheries

海上风电场和渔业相互作用的分类框架

DOI：
10.1093/icesjms/fsac118
发表时间：
2022
期刊：
ICES Journal of Marine Science
影响因子：
3.3
作者：
Stokesbury, Kevin D. E.;Fay, Gavin;Griffin, Robert;Birchenough, ed., Silvana
通讯作者：
Birchenough, ed., Silvana

A stark future for ocean life

海洋生物的严峻未来