ABI Development: Access, visualization, and statistical tools for the analysis of butterfly monitoring data

ABI 开发:用于分析蝴蝶监测数据的访问、可视化和统计工具

基本信息

  • 批准号:
    1147049
  • 负责人:
  • 金额:
    $ 113.47万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
    Standard Grant
  • 财政年份:
    2012
  • 资助国家:
    美国
  • 起止时间:
    2012-05-01 至 2017-04-30
  • 项目状态:
    已结题

项目摘要

An award is made to the University of Maryland to bring together a network of butterfly monitoring groups and experts in both informatics and statistics to develop a series of tools to greatly expand the access and use of butterfly data and knowledge. Citizen-scientists throughout North America perform thousands of surveys as part of a continent-wide network of butterfly monitoring programs, yet data from these surveys, are little known due to a lack of: 1) knowledge about and access to the data, 2) tools to visualize and share these critical data sets, and 3) appropriate models for analysis. Through this project, several new tools will be developed and launched, including a web interface and visualization tool for a continental-scale butterfly monitoring program, a framework for the distribution and visualization for data emerging from a large network of butterfly monitoring programs, and a web-enabled database of species traits, and a suite of statistical models to analyze data resulting from the most common types of butterfly monitoring protocols. All efforts will be targeted toward developing tools that are broadly transferrable among butterfly monitoring programs as well as other insect monitoring programs, such as those focused on dragonflies, crickets, ladybeetles, and bees. Tools will be designed to be useful not just to the scientific and management communities, but also for the general public, the primary collectors of butterfly monitoring data. Throughout this project, undergraduates, graduates, and post-doctoral associates will be involved in all stages to foster education in information technology and statistical analysis.
马里兰州大学获得了一项奖项,将蝴蝶监测小组和信息学和统计学专家网络聚集在一起,开发一系列工具,以大大扩大蝴蝶数据和知识的获取和使用。北美各地的公民科学家进行了数千次调查,作为整个大陆蝴蝶监测计划网络的一部分,但由于缺乏以下因素,这些调查的数据鲜为人知:1)对数据的了解和访问,2)可视化和共享这些关键数据集的工具,以及3)适当的分析模型。通过这一项目,将开发和推出几种新工具,包括用于大陆规模蝴蝶监测方案的网络界面和可视化工具、用于分发和可视化来自大型蝴蝶监测方案网络的数据的框架,以及一个基于网络的物种特征数据库,以及一套统计模型来分析从最常见类型的蝴蝶监控协议产生的数据。所有的努力都将致力于开发在蝴蝶监测项目以及其他昆虫监测项目(如蜻蜓、蟋蟀、瓢虫和蜜蜂)之间广泛可移植的工具。 工具的设计不仅对科学和管理界有用,而且对蝴蝶监测数据的主要收集者-公众也有用。 在整个项目中,本科生,研究生和博士后助理将参与各个阶段,以促进信息技术和统计分析教育。

项目成果

期刊论文数量(0)
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Leslie Ries其他文献

Population dynamics and drivers of the eastern monarch (Danaus plexippus) across its full annual cycle: a cross-scale synthesis of a model migratory species.
东部帝王蝶(Danaus plexippus)整个年度周期的种群动态和驱动因素:模型迁徙物种的跨尺度综合。
Artificial intelligence correctly classifies developmental stages of monarch caterpillars enabling better conservation through the use of community science photographs
人工智能通过使用社区科学照片正确地对帝王蝶毛虫的发育阶段进行分类,从而通过更好的保护
  • DOI:
    10.1038/s41598-024-78509-w
  • 发表时间:
    2024-11-07
  • 期刊:
  • 影响因子:
    3.900
  • 作者:
    Naresh Neupane;Rhea Goswami;Kyle Harrison;Karen Oberhauser;Leslie Ries;Colin McCormick
  • 通讯作者:
    Colin McCormick
Population dynamics and drivers of the eastern monarch (<em>Danaus plexippus</em>) across its full annual cycle: a cross-scale synthesis of a model migratory species
  • DOI:
    10.1016/j.cois.2023.101132
  • 发表时间:
    2023-12-01
  • 期刊:
  • 影响因子:
  • 作者:
    Vaughn Shirey;Leslie Ries
  • 通讯作者:
    Leslie Ries
Population dynamics and drivers of the eastern monarch (emDanaus plexippus/em) across its full annual cycle: a cross-scale synthesis of a model migratory species
东部帝王蝶(Danaus plexippus)在其整个年度周期内的种群动态和驱动因素:一种模型迁徙物种的跨尺度综合
  • DOI:
    10.1016/j.cois.2023.101132
  • 发表时间:
    2023-12-01
  • 期刊:
  • 影响因子:
    4.800
  • 作者:
    Vaughn Shirey;Leslie Ries
  • 通讯作者:
    Leslie Ries
Butterfly edge effects are predicted by a simple model in a complex landscape
  • DOI:
    10.1007/s00442-008-0976-3
  • 发表时间:
    2008-02-21
  • 期刊:
  • 影响因子:
    2.300
  • 作者:
    Leslie Ries;Thomas D. Sisk
  • 通讯作者:
    Thomas D. Sisk

Leslie Ries的其他文献

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{{ truncateString('Leslie Ries', 18)}}的其他基金

EAGER: Environmental drivers of biodiversity: leveraging a history of NSF-funded research to test models of butterfly responses to global change
EAGER:生物多样性的环境驱动因素:利用 NSF 资助的研究历史来测试蝴蝶对全球变化的反应模型
  • 批准号:
    1839021
  • 财政年份:
    2018
  • 资助金额:
    $ 113.47万
  • 项目类别:
    Standard Grant
Collaborative Proposal: RAPID: How do extreme flooding events impact migratory species?
合作提案:RAPID:极端洪水事件如何影响迁徙物种?
  • 批准号:
    1818934
  • 财政年份:
    2018
  • 资助金额:
    $ 113.47万
  • 项目类别:
    Standard Grant
Collaborative Proposal: MSB-FRA: Causes, consequences, and cross-scale linkages of environment-driven phenological mismatch across three trophic levels
合作提案:MSB-FRA:三个营养级环境驱动物候不匹配的原因、后果和跨尺度联系
  • 批准号:
    1702664
  • 财政年份:
    2017
  • 资助金额:
    $ 113.47万
  • 项目类别:
    Standard Grant
Collaborative Proposal: MSB-ECA: A multi-scale framework to quantify and forecast population changes and associated uncertainties
合作提案:MSB-ECA:量化和预测人口变化及相关不确定性的多尺度框架
  • 批准号:
    1702179
  • 财政年份:
    2017
  • 资助金额:
    $ 113.47万
  • 项目类别:
    Standard Grant
ABI Development: Access, visualization, and statistical tools for the analysis of butterfly monitoring data
ABI 开发:用于分析蝴蝶监测数据的访问、可视化和统计工具
  • 批准号:
    1738243
  • 财政年份:
    2016
  • 资助金额:
    $ 113.47万
  • 项目类别:
    Standard Grant
Postdoctoral Research Fellowship in Biological Informatics for FY 2005
2005财年生物信息学博士后研究奖学金
  • 批准号:
    0434644
  • 财政年份:
    2005
  • 资助金额:
    $ 113.47万
  • 项目类别:
    Fellowship

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