A Miniature Archival Tag for Long Range Fish Tracking in the Ocean

用于远距离海洋鱼类追踪的微型档案标签

基本信息

  • 批准号:
    1061083
  • 负责人:
  • 金额:
    $ 23.74万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
    Standard Grant
  • 财政年份:
    2011
  • 资助国家:
    美国
  • 起止时间:
    2011-08-01 至 2015-05-31
  • 项目状态:
    已结题

项目摘要

Tagging of aquatic animals is used to reveal movement patterns, home range, habitat preferences, gender differences, distribution patterns, etc. and represents a methodology that has been employed for many years. With previous NSF funding the PI developed a miniaturized RAFOS receiver on a microchip designed to study the movements of (small) fishes such as salmon, flounder and Atlantic cod. The prototype was completed. This proposal requests funding to complete the fish-tag assembly (the design work for which is done), and build 100 plus devices for a field test tracking yellowtail flounder in the Nantucket Lightship Protected Area. They plan to improve the performance of the signal detection system by improving the time keeping by correcting for the temperature dependence of the crystal oscillator and lengthen the signal correlator to improve the signal detection capability at extended distances.Broader Impacts: The Broader Impacts were excellent, stemming primarily from the potential application arising from the miniaturization. The long-term impact is likely to be much more general than fish tagging. Oceanographers can use fish as sensor platforms and ecologist can use information about migration and the physical environment to enhance understanding of fish migration. The new technology may thus become important for interdisciplinary research and stimulate scientific cooperation among fields. This is fundamental for understanding and quantification of biophysical interactions which is a prerequisite for ecosystem understanding and modeling.
水生动物的标记是用来揭示运动模式,家庭范围,栖息地的喜好,性别差异,分布模式等,并代表了多年来一直采用的方法。在之前的NSF资助下,PI开发了一种微型RAFOS接收器,设计用于研究鲑鱼,比目鱼和大西洋鳕鱼等(小型)鱼类的运动。原型已经完成。这项提案要求提供资金,以完成鱼标签组件(设计工作已经完成),并建立100多个设备的现场测试跟踪黄尾比目鱼在南图克特灯船保护区。他们计划通过校正晶体振荡器的温度依赖性来提高时间保持能力,从而提高信号检测系统的性能,并延长信号相关器,以提高远距离信号检测能力。 广泛的影响是优秀的,主要源于微型化带来的潜在应用。长期影响可能比鱼类标签更普遍。海洋学家可以利用鱼类作为传感器平台,生态学家可以利用有关洄游和物理环境的信息来加强对鱼类洄游的了解。因此,新技术可能对跨学科研究具有重要意义,并促进各领域之间的科学合作。这是理解和量化生物物理相互作用的基础,而生物物理相互作用是理解和建模生态系统的先决条件。

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)

数据更新时间:{{ journalArticles.updateTime }}

{{ item.title }}
{{ item.translation_title }}
  • DOI:
    {{ item.doi }}
  • 发表时间:
    {{ item.publish_year }}
  • 期刊:
  • 影响因子:
    {{ item.factor }}
  • 作者:
    {{ item.authors }}
  • 通讯作者:
    {{ item.author }}

数据更新时间:{{ journalArticles.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ monograph.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ sciAawards.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ conferencePapers.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ patent.updateTime }}

Godi Fischer其他文献

Analog RRS cells—An alternative approach for sampled-data low-pass filters

Godi Fischer的其他文献

{{ item.title }}
{{ item.translation_title }}
  • DOI:
    {{ item.doi }}
  • 发表时间:
    {{ item.publish_year }}
  • 期刊:
  • 影响因子:
    {{ item.factor }}
  • 作者:
    {{ item.authors }}
  • 通讯作者:
    {{ item.author }}

{{ truncateString('Godi Fischer', 18)}}的其他基金

Collaborative Research: The Next Generation RAFOS Float: A More Capable, Cost-Effective Subsurface Drifter for Observing Deep Ocean Currents
合作研究:下一代 RAFOS 浮标:用于观测深海洋流的能力更强、更具成本效益的地下漂流器
  • 批准号:
    1435698
  • 财政年份:
    2015
  • 资助金额:
    $ 23.74万
  • 项目类别:
    Standard Grant
Development of an an acoustic data storage tag for long range fish tracking in the ocean
开发用于海洋中远程鱼类跟踪的声学数据存储标签
  • 批准号:
    0326907
  • 财政年份:
    2003
  • 资助金额:
    $ 23.74万
  • 项目类别:
    Continuing Grant

相似海外基金

EAGER: Metabolomics Analysis of Archival Marine Invertebrates
EAGER:档案海洋无脊椎动物的代谢组学分析
  • 批准号:
    2341344
  • 财政年份:
    2023
  • 资助金额:
    $ 23.74万
  • 项目类别:
    Standard Grant
Retrieving voices of silenced documents--Female Intellectuals during the Cold War and Archival Theories.
找回沉寂文献的声音——冷战时期的女性知识分子与档案理论.
  • 批准号:
    23K17508
  • 财政年份:
    2023
  • 资助金额:
    $ 23.74万
  • 项目类别:
    Grant-in-Aid for Challenging Research (Exploratory)
Mass-storage system for simulations and archival of observational data
用于观测数据模拟和归档的大容量存储系统
  • 批准号:
    518204048
  • 财政年份:
    2023
  • 资助金额:
    $ 23.74万
  • 项目类别:
    Major Research Instrumentation
Collaborative Research: Elements: Towards A Scalable Infrastructure for Archival and Reproducible Scientific Visualizations
协作研究:要素:建立用于存档和可重复科学可视化的可扩展基础设施
  • 批准号:
    2209767
  • 财政年份:
    2022
  • 资助金额:
    $ 23.74万
  • 项目类别:
    Standard Grant
Collaborative Research: Elements: Towards A Scalable Infrastructure for Archival and Reproducible Scientific Visualizations
协作研究:要素:建立用于存档和可重复科学可视化的可扩展基础设施
  • 批准号:
    2209768
  • 财政年份:
    2022
  • 资助金额:
    $ 23.74万
  • 项目类别:
    Standard Grant
Barabajan and Blue Geographies: How can eco-social art practice and archival research inform restorative ecologies?
Barabajan 和 Blue Geographies:生态社会艺术实践和档案研究如何为恢复生态学提供信息?
  • 批准号:
    2773831
  • 财政年份:
    2022
  • 资助金额:
    $ 23.74万
  • 项目类别:
    Studentship
Study on church buildings in the pre-war period using the archival materials held at the Catholic Diocese of Fukuoka
利用天主教福冈教区保存的档案资料对战前时期的教堂建筑进行研究
  • 批准号:
    22K04520
  • 财政年份:
    2022
  • 资助金额:
    $ 23.74万
  • 项目类别:
    Grant-in-Aid for Scientific Research (C)
Wanted dead or alive: Resolving the feeding ecology and trophic role of Greenland sharks (Somniosus microcephalus) using archival biologgers
生死通缉:利用档案生物记录仪解析格陵兰鲨(Somniosus microcephalus)的摄食生态和营养作用
  • 批准号:
    567796-2022
  • 财政年份:
    2022
  • 资助金额:
    $ 23.74万
  • 项目类别:
    Postgraduate Scholarships - Doctoral
An Archival Recovery and Examination of Susan Ferrier's Private Writing
苏珊·费里尔私人写作的档案恢复和审查
  • 批准号:
    2665013
  • 财政年份:
    2022
  • 资助金额:
    $ 23.74万
  • 项目类别:
    Studentship
Bioethics of Archival Human Temporal Bone Collections
档案人类颞骨收藏的生物伦理学
  • 批准号:
    10792070
  • 财政年份:
    2022
  • 资助金额:
    $ 23.74万
  • 项目类别:
{{ showInfoDetail.title }}

作者:{{ showInfoDetail.author }}

知道了