Collaborative proposal: ABI Sustaining: The Environmental-Data Automated Track Annotation (Env-DATA) system

合作提案:ABI Sustaining:环境数据自动轨迹注释(Env-DATA)系统

基本信息

项目摘要

How an animal moves through their environment reveals much about their ecology and how they respond to modern changes to the planet such as development and climate change. GPS technology embedded in collars (mammal) or backpacks (birds) has revolutionized the ability to track animals, providing more detail than ever before, sometimes in real-time. However, to make the most of these new tracking data they must be seen in the context of the world through which the animals are moving by linking their tracks to remote sensing maps showing weather and ecosystem. With both the animal and environmental data growing rapidly, there are increasing technical challenges and knowledge gaps that inhibit the widespread application of linking these types of datasets for movement ecology research. The Environmental-Data Automated Track Annotation system (Env-DATA) is a web-based tool to give direct access for movement ecology researchers to thousands of environmental datasets. It provides intuitive and easy to use graphic user interface-based access to these datasets. Env-DATA is hosted by and interfaces with Movebank, a global movement data archive, open to the broad public worldwide. Env-DATA is open and accessible to anyone. It provides easy access to already public datasets, as well and some datasets that are not otherwise open. Env-DATA provides users with tools to publish the combined environmental data along with the animal track it was used to annotate in the Movebank Data Depository. Published data sets are allocated a DOI and can be accessed and searched as electronic publications, provided an agreement from the owner of the track data. Annual workshops at the North Carolina Museum of Natural Sciences will reach out to new users within academia, government, and public organizations that track animals. Env-DATA is at the cutting edge of the "contextual revolution" in movement ecology where combining analysis of movement patterns and incorporating the environmental background of the movement has become a necessary component for understanding and modeling animal movement. By providing intuitive and easy to use access to an unprecedented number of environmental datasets and variables, Env-DATA enables animal movement researchers to overcome technical challenges and knowledge gaps, and to fully utilize globally available environmental information. Env-DATA links movement tracks with environmental data from different remote-sensing and global reanalysis data providers, including NASA, NOAA, and ECMWF. Env-DATA interprets environmental variables in the correct encryption, grid, and projection systems and interpolates the data in space and time to the observed animal track locations, or a collection of comparison points or grid. Funding through this proposal will allow support of continuous on-going operations of Env-DATA, which requires regular quality control tests to detect cases where the data providers to Env-DATA may have changed the metadata, location, or access protocol. In these cases, technical support to update the system is necessary. It also requires regular availability of a user-support "help-desk". Outreach and training of new and existing users, as well as collecting first-hand feedback from users will be conducted by annual user workshops. All talks and tutorials in the workshop will be filmed and posted to the workshop website and on YouTube. Env-DATA PIs, staff, and researchers using Env-DATA will provide lectures to the broad public in the NC Museum. Undergraduate students will assist in workshop coordination and Env-DATA user support. To access Env-DATA and Movebank, visit https://www.movebank.org/.
动物如何在其环境中移动,很大程度上揭示了它们的生态,以及它们如何应对地球的现代变化,例如发展和气候变化。嵌入项圈(哺乳动物)或背包(鸟类)中的 GPS 技术彻底改变了跟踪动物的能力,提供比以往更多的细节,有时甚至是实时的。然而,为了充分利用这些新的跟踪数据,必须将它们的踪迹与显示天气和生态系统的遥感地图联系起来,在动物移动的世界背景下查看它们。随着动物和环境数据的快速增长,技术挑战和知识差距越来越大,阻碍了将这些类型的数据集链接到运动生态学研究的广泛应用。环境数据自动轨迹注释系统(Env-DATA)是一种基于网络的工具,可以让运动生态学研究人员直接访问数千个环境数据集。它提供了基于图形用户界面的直观且易于使用的数据集访问。 Env-DATA 由 Movebank 托管并与之交互,Movebank 是一个全球运动数据存档,向全球广大公众开放。 Env-DATA 是开放的,任何人都可以访问。它可以轻松访问已经公开的数据集以及一些未以其他方式开放的数据集。 Env-DATA 为用户提供了发布综合环境数据及其用于在 Movebank 数据存储库中注释的动物轨迹的工具。已发布的数据集会被分配一个 DOI,并可作为电子出版物进行访问和搜索,前提是得到了轨迹数据所有者的同意。北卡罗来纳州自然科学博物馆的年度研讨会将吸引学术界、政府和公共组织中追踪动物的新用户。 Env-DATA 处于运动生态学“情境革命”的前沿,它将运动模式分析与运动的环境背景相结合,已成为理解和建模动物运动的必要组成部分。通过提供对数量空前的环境数据集和变量的直观且易于使用的访问,Env-DATA 使动物运动研究人员能够克服技术挑战和知识差距,并充分利用全球可用的环境信息。 Env-DATA 将运动轨迹与来自不同遥感和全球再分析数据提供商(包括 NASA、NOAA 和 ECMWF)的环境数据联系起来。 Env-DATA 以正确的加密、网格和投影系统解释环境变量,并将空间和时间上的数据插入到观察到的动物轨迹位置或比较点或网格的集合。通过该提案获得的资金将支持 Env-DATA 的持续运营,这需要定期进行质量控制测试,以检测 Env-DATA 的数据提供者可能更改元数据、位置或访问协议的情况。在这些情况下,需要技术支持来更新系统。它还需要定期提供用户支持“服务台”。新用户和现有用户的推广和培训以及收集用户的第一手反馈将通过年度用户研讨会进行。研讨会上的所有演讲和教程都将被拍摄并发布到研讨会网站和 YouTube 上。使用 Env-DATA 的 Env-DATA PI、工作人员和研究人员将在北卡罗来纳州博物馆向广大公众提供讲座。本科生将协助研讨会协调和 Env-DATA 用户支持。要访问 Env-DATA 和 Movebank,请访问 https://www.movebank.org/。

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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Roland Kays其他文献

Clarifying assumptions behind the estimation of animal density from camera trap rates
澄清根据相机陷阱率估算动物密度背后的假设
  • DOI:
  • 发表时间:
    2013
  • 期刊:
  • 影响因子:
    0
  • 作者:
    J. M. Rowcliffe;Roland Kays;Roland Kays;C. Carbone;Patrick A. Jansen;Patrick A. Jansen
  • 通讯作者:
    Patrick A. Jansen
Edentata
埃登塔塔
  • DOI:
    10.1036/1097-8542.213200
  • 发表时间:
    2022
  • 期刊:
  • 影响因子:
    0
  • 作者:
    F. Miranda;Roberto Veloso;Mariella Superina;F. Zara;K. Kreutz;Frauke Fischer;K. E. Linsenmair;R. B. Machado;Jader Marinho;Samuel K. Wasser;Roland Kays;R. R. D. Chagas;Stephen F. Ferrari
  • 通讯作者:
    Stephen F. Ferrari

Roland Kays的其他文献

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{{ truncateString('Roland Kays', 18)}}的其他基金

Collaborative Research: Integrated distribution models for North American mammals as tests of niche conservatism.
合作研究:北美哺乳动物的综合分布模型作为生态位保守主义的测试。
  • 批准号:
    2206783
  • 财政年份:
    2022
  • 资助金额:
    $ 11.36万
  • 项目类别:
    Standard Grant
Collaborative Research: Continent-wide forest recruitment change: the interactions between climate, habitat, and consumers
合作研究:全大陆森林补充变化:气候、栖息地和消费者之间的相互作用
  • 批准号:
    2211768
  • 财政年份:
    2022
  • 资助金额:
    $ 11.36万
  • 项目类别:
    Standard Grant
Collaborative Research: IIBR Informatics: Data integration to improve population distribution estimation with animal tracking data
合作研究:IIBR 信息学:数据集成,利用动物追踪数据改进人口分布估计
  • 批准号:
    1914928
  • 财政年份:
    2019
  • 资助金额:
    $ 11.36万
  • 项目类别:
    Standard Grant
Collaborative proposal: Combining NEON and remotely sensed habitats to determine climate impacts on community dynamics
合作提案:结合 NEON 和遥感栖息地来确定气候对群落动态的影响
  • 批准号:
    1754656
  • 财政年份:
    2018
  • 资助金额:
    $ 11.36万
  • 项目类别:
    Standard Grant
Collaborative Research EAGER-NEON: Probabilistic Forecasting of Biodiversity Response to Intensifying Drought by Combining NEON, National Climate, Species, and Trait Data Bases
合作研究 EAGER-NEON:结合 NEON、国家气候、物种和性状数据库,对生物多样性对加剧干旱的反应进行概率预测
  • 批准号:
    1550907
  • 财政年份:
    2015
  • 资助金额:
    $ 11.36万
  • 项目类别:
    Standard Grant
CyberSEES: Type 2: Collaborative Research: Cyber-infrastructure and Technologies to Support Large-Scale Wildlife Monitoring and Research for Wildlife and Ecology Sustainability
Cyber​​SEES:类型 2:协作研究:支持大规模野生动物监测以及野生动物和生态可持续性研究的网络基础设施和技术
  • 批准号:
    1539622
  • 财政年份:
    2015
  • 资助金额:
    $ 11.36万
  • 项目类别:
    Standard Grant
Collaborative Research: Processes Determining the Abundance of Terrestrial Wildlife Communities Across Large Scales
合作研究:大规模确定陆地野生动物群落丰度的过程
  • 批准号:
    1232442
  • 财政年份:
    2011
  • 资助金额:
    $ 11.36万
  • 项目类别:
    Standard Grant
Collaborative Research: Processes Determining the Abundance of Terrestrial Wildlife Communities Across Large Scales
合作研究:大规模确定陆地野生动物群落丰度的过程
  • 批准号:
    1065822
  • 财政年份:
    2011
  • 资助金额:
    $ 11.36万
  • 项目类别:
    Standard Grant
DEB (Ecology): Seed Dispersal by Central American Agoutis - A Mutualism Conditioned by Predators or Food?
DEB(生态学):中美洲刺豚鼠的种子传播 - 由捕食者或食物调节的互利共生?
  • 批准号:
    0717071
  • 财政年份:
    2007
  • 资助金额:
    $ 11.36万
  • 项目类别:
    Standard Grant
BD&I: MoveBank: Integrated database for networked organism tracking.
BD
  • 批准号:
    0756920
  • 财政年份:
    2007
  • 资助金额:
    $ 11.36万
  • 项目类别:
    Standard Grant

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COLLABORATIVE PROPOSAL:ABI DEVELOPMENT: AN INTEGRATED PLATFORM FOR RETRIEVAL, VISUALIZATION AND ANALYSIS OF 3D MORPHOLOGY FROM DIGITAL BIOLOGICAL COLLECTIONS
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Collaborative proposal: ABI Sustaining: The Environmental-Data Automated Track Annotation (Env-DATA) system
合作提案:ABI Sustaining:环境数据自动轨迹注释(Env-DATA)系统
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