Collaborative Research: IDBR: Type A: A High-resolution Bio-Sensor to Simultaneously Measure the Behavior, Vital Rates, and Environment of Key Marine Organisms
合作研究:IDBR:A 型:高分辨率生物传感器,可同时测量主要海洋生物的行为、生命率和环境
基本信息
- 批准号:1455501
- 负责人:
- 金额:$ 7.46万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Continuing Grant
- 财政年份:2015
- 资助国家:美国
- 起止时间:2015-04-01 至 2019-03-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
An award is made to the Woods Hole Oceanographic Institution to develop an innovative, high-resolution, biosensor for soft-bodied marine invertebrates and other ecologically key taxa. Squid and jellies are critical components of many marine ecosystems that simultaneously support and pressure important commercial fisheries. Access to, and observations of, jellies and squid are particularly timely given climate-associated habitat modifications and range changes. The ITAG will provide information to address how the marine environment is changing and how key taxa are responding to these changes, supporting the needs of the scientific community, commercial fisheries, resource managers, and policy makers. This research will support the career development of young scientists. Undergraduate students will be directly involved in all aspects of the research and outreach. Results of this work will be broadly disseminated to the scientific community and the public through direct collaborations, workshops, tutorials, open-access data and tools, media releases, and already well-followed blogs. This project will leverage the Communication and Outreach Departments of multiple institutions and the public's inherent interest in jellies and squid to broaden the awareness of marine science and engineering through: (a) public presentations, (b) direct communication and interaction with journalists and teachers, and (c) education in local schools for preschool, grade-school and college students.The purpose of the new ITAG (invertebrate tag) bio-sensor is to simultaneously record a suite of fine-scale behavioral and environmental data. Soft-bodied invertebrates such as such as jellies and squid are the most abundant and diverse animals in the ocean, the world's largest habitat. As keystone taxa, these soft-bodied invertebrates make up important global fisheries and are a vital link in the ocean food web, connecting top predators and smaller prey. However, we know surprisingly little about the linkages between the physical conditions of their environment and physiological and behavioral patterns of jellies and squid. This new technology will incorporate new physical sensors as well as animal-based orientation and acceleration measurements thereby proving a unique and inclusive bio-sensor. The ITAG will be constructed with a modular framework that will enable the flexibility required to apply the device across taxa. Once secured to the animal, the ITAG will provide vital data on animal associations with environmental features and responses to ocean acidification and warming. As such, tagged animals will become mobile sensing platforms capable of observing their surrounding environment. The tools and data developed for this award will be broadly applicable in both the research and conservation communities who face a paucity of information about these animals and the environments they inhabit. Leveraging key and abundant taxa provides an efficient means to circumvent the challenges and costs of traditional sampling and observing platforms, thus transforming our measurement capabilities, data resolution, breadth of application, and understanding of the ocean and its resources.
授予伍兹霍尔海洋研究所一个奖项,以开发一种创新的、高分辨率的生物传感器,用于软体海洋无脊椎动物和其他生态关键类群。鱿鱼和水母是许多海洋生态系统的重要组成部分,同时支持和压力重要的商业渔业。鉴于气候相关的生境变化和范围变化,对水母和鱿鱼的接触和观察特别及时。ITAG将提供信息,以解决海洋环境如何变化以及关键类群如何应对这些变化,支持科学界,商业渔业,资源管理人员和决策者的需求。这项研究将支持年轻科学家的职业发展。本科生将直接参与研究和推广的各个方面。这项工作的成果将通过直接合作、研讨会、教程、开放获取的数据和工具、媒体发布以及已经受到广泛关注的博客,向科学界和公众广泛传播。该项目将利用多个机构的传播和外联部门以及公众对水母和鱿鱼的固有兴趣,通过以下方式扩大对海洋科学和工程的认识:(a)公开演讲,(B)与记者和教师直接交流和互动,(c)在当地学校进行学前教育,新的ITAG(无脊椎动物标签)生物传感器的目的是同时记录一套精细的行为和环境数据。海洋是世界上最大的栖息地,软体无脊椎动物,如水母和鱿鱼是海洋中最丰富、最多样化的动物。这些软体无脊椎动物是重要的全球渔业,也是海洋食物网中的重要环节,连接着顶级捕食者和较小的猎物。然而,令人惊讶的是,我们对水母和鱿鱼的环境物理条件与生理和行为模式之间的联系知之甚少。这项新技术将结合新的物理传感器以及基于动物的方向和加速度测量,从而证明一个独特的和包容性的生物传感器。ITAG将采用模块化框架构建,从而能够灵活地将该设备应用于各个分类群。一旦固定到动物身上,ITAG将提供关于动物与环境特征以及对海洋酸化和变暖的反应的重要数据。因此,标记的动物将成为能够观察其周围环境的移动的传感平台。为该奖项开发的工具和数据将广泛适用于研究和保护社区,这些社区面临着有关这些动物及其栖息环境的信息匮乏。利用关键和丰富的类群提供了一种有效的手段来规避传统采样和观测平台的挑战和成本,从而改变我们的测量能力,数据分辨率,应用范围以及对海洋及其资源的理解。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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Kakani Young其他文献
Kakani Young的其他文献
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{{ truncateString('Kakani Young', 18)}}的其他基金
NSF Convergence Accelerator Track E: Ocean Vision AI: Scaling up visual observations of life in the ocean using artificial intelligence
NSF 融合加速器轨道 E:海洋视觉 AI:利用人工智能扩大对海洋生命的视觉观察
- 批准号:
2230776 - 财政年份:2022
- 资助金额:
$ 7.46万 - 项目类别:
Cooperative Agreement
NSF Convergence Accelerator Track E: Ocean Vision AI: Scaling up Visual Observations of Life in the Ocean Using Artificial Intelligence
NSF 融合加速器轨道 E:海洋视觉 AI:利用人工智能扩大对海洋生命的视觉观察
- 批准号:
2137977 - 财政年份:2021
- 资助金额:
$ 7.46万 - 项目类别:
Standard Grant
Collaborative Research: Functional design of siphonophore propulsion and behavior
合作研究:管水器推进和行为的功能设计
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2114170 - 财政年份:2021
- 资助金额:
$ 7.46万 - 项目类别:
Standard Grant
EAGER - Integrating machine learning on autonomous platforms for target-tracking operations using stereo imagery
EAGER - 将机器学习集成到自主平台上,使用立体图像进行目标跟踪操作
- 批准号:
1812535 - 财政年份:2018
- 资助金额:
$ 7.46万 - 项目类别:
Standard Grant
Collaborative Research: Mesobot: a robot for investigating the ocean interior
合作研究:Mesobot:用于调查海洋内部的机器人
- 批准号:
1636527 - 财政年份:2017
- 资助金额:
$ 7.46万 - 项目类别:
Continuing Grant
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- 批准号:31224802
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- 批准号:30824808
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- 批准号:10774081
- 批准年份:2007
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- 项目类别:面上项目
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