Digitization TCN: Collaborative Research: Lepidoptera of North America Network: Documenting Diversity in the Largest Clade of Herbivores
数字化 TCN:合作研究:北美鳞翅目网络:记录最大食草动物分支的多样性
基本信息
- 批准号:1601164
- 负责人:
- 金额:$ 20.87万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Standard Grant
- 财政年份:2016
- 资助国家:美国
- 起止时间:2016-07-01 至 2020-06-30
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
Lepidoptera (butterflies and moths) are one of the most diverse groups of organisms on the planet: worldwide there are approximately 160,000 species, including around 14,300 species in North America. Moths and butterflies are a conspicuous component of terrestrial habitats and one of the most diverse groups of plant-feeding animals worldwide. This group insect includes species of great economic importance. Their juveniles feed on plants useful to humans, including grains, cotton, tobacco, and timber and shade trees. However, many of the adults are beneficial as pollinators and are icons of conservation as evidenced by Monarch butterflies. Given their economic importance and sheer beauty, butterflies and moths are one of the most abundant insect group in museum collections, but only a fraction of the approximately 15 million specimens in non-federal collections have had their specimen label information digitally recorded and accessible to researchers and educators. Of those specimens that have been digitized, fewer than 10% of the North American Lepidoptera species have sufficient, accessible occurrence data to make reliable predictions about habitat use, susceptibility to global change impacts, or other ecologically important interactions. This project will digitize and integrate existing, unconnected collections of lepidopterans to leverage the outstanding potential of this group of organisms for transformative research, training and outreach. The Lepidoptera of North America Network (LepNet) comprises 26 research collections that will digitize approximately 2 million specimen records and integrate these with over 1 million existing records. LepNet will digitize 43,280 larval vial records with host plant data, making this the first significant digitization of larvae in North American collections. LepNet will produce ca. 82,000 high-quality images of exemplar species covering 60% of North American lepidopteran species. These images will enhance remote identifications and facilitate systematic, ecological, and global change research. In collaboration with Visipedia, LepNet will create LepSnap, a computer vision tool that can provide automated identifications to the species level. Museum volunteers and student researchers equipped with smartphones will image 132,000 additional research-quality images through LepSnap. Up to 5,000 lepidopteran species will be elevated to a "research ready" status suitable for complex, data-driven analyses. LepNet will build on the existing data portal (SCAN) in consolidating data on Lepidoptera to the evolution of lepidopteran herbivores in North America. Access to these data will be increased through integration with iDigBio. Data for a broad range of research, including the evolutionary ecology of Lepidoptera and their host plants in the context of global change processes affecting biogeographic distributions will be generated. The LepXPLOR! program will spearhead education and outreach efforts for 67 existing programs, engaging a diverse, nationwide workforce of 400+ students and 3,500+ volunteers. Overall, LepNet will generate a sustainable social-research network dedicated to the creation and maintenance of a digital collection of North American Lepidoptera specimens (http://www.lep-net.org/).
鳞翅目(蝴蝶和蛾)是地球上最多样化的生物群体之一:全世界约有160,000种,其中包括北美约14,300种。蛾和蝴蝶是陆地栖息地的重要组成部分,也是世界上最多样化的植食动物群体之一。这类昆虫包括具有重要经济价值的物种。它们的幼仔以对人类有用的植物为食,包括谷物、棉花、烟草、木材和遮荫树。然而,许多成年人是有益的传粉者,是保护的象征,如帝王蝶所证明的。考虑到它们的经济重要性和纯粹的美丽,蝴蝶和飞蛾是博物馆收藏中最丰富的昆虫类群之一,但在非联邦收藏的大约1500万个标本中,只有一小部分有数字记录的标本标签信息,供研究人员和教育工作者使用。在这些已经数字化的标本中,只有不到10%的北美鳞翅目物种有足够的、可访问的发生数据,可以对栖息地利用、对全球变化影响的敏感性或其他生态学上重要的相互作用做出可靠的预测。该项目将收集和整合现有的、不相关的鳞翅目昆虫,以利用这组生物的巨大潜力进行变革性研究、培训和推广。北美鳞翅目网络(LepNet)包括26个研究收集,将收集大约200万个标本记录,并将这些记录与100多万个现有记录相结合。LepNet将收集43,280个含有宿主植物数据的幼虫小瓶记录,使其成为北美幼虫收集的第一个重要数字化。LepNet将生成CA。82,000张高质量的范例物种图像,覆盖了60%的北美鳞翅目物种。这些图像将增强远程识别,并促进系统,生态和全球变化研究。LepNet将与Visipedia合作创建LepSnap,这是一种计算机视觉工具,可以提供物种级别的自动识别。配备智能手机的博物馆志愿者和学生研究人员将通过LepSnap拍摄132,000张额外的研究质量图像。多达5,000种鳞翅目物种将被提升到“研究就绪”状态,适合进行复杂的数据驱动分析。LepNet将在现有数据门户(SCAN)的基础上,整合关于鳞翅目昆虫的数据,以了解北美鳞翅目食草动物的演变。通过与iDigBio集成,将增加对这些数据的访问。将产生用于广泛研究的数据,包括在影响地理分布的全球变化过程中鳞翅目及其宿主植物的进化生态学。LepXPLOR!该计划将率先为67个现有项目开展教育和推广工作,吸引400多名学生和3,500多名志愿者组成的多元化全国性工作队伍。总体而言,LepNet将建立一个可持续的社会研究网络,致力于建立和维护北美鳞翅目标本的数字收藏(http://www.lep-net.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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Richard Brown其他文献
Chiropractic in Global Health and wellbeing: a white paper describing the public health agenda of the World Federation of Chiropractic
全球健康与福祉中的脊椎按摩疗法:描述世界脊椎按摩疗法联合会公共卫生议程的白皮书
- DOI:
- 发表时间:
2018 - 期刊:
- 影响因子:1.9
- 作者:
Michele Maiers;Mustafa H. Ağaoğlu;Richard Brown;C. Cassirer;K. DaSilva;R. Lystad;S. Mohammad;Jessica J. Wong - 通讯作者:
Jessica J. Wong
Mechanisms of cell death induced by arginase and asparaginase in precursor B-cell lymphoblasts
精氨酸酶和天冬酰胺酶诱导前体B细胞淋巴母细胞死亡的机制
- DOI:
10.1007/s10495-018-1506-3 - 发表时间:
2018 - 期刊:
- 影响因子:7.2
- 作者:
Lucy E. Metayer;Richard Brown;Saskia Carlebur;G. Burke;Guy C. Brown - 通讯作者:
Guy C. Brown
A Two-Temperature Open-Source CFD Model for Hypersonic Reacting Flows, Part One: Zero-Dimensional Analysis †
高超声速反应流的双温度开源 CFD 模型,第一部分:零维分析 †
- DOI:
- 发表时间:
2016 - 期刊:
- 影响因子:0
- 作者:
V. Casseau;R. Palharini;T. Scanlon;Richard Brown - 通讯作者:
Richard Brown
Development of a New Third-Party Unit for Adult Stem Cell Transplantation using Clinical-Grade Rejected Cord Blood Units
使用临床级废弃脐带血单位开发用于成人干细胞移植的新第三方单位
- DOI:
10.4172/2157-7412.1000254 - 发表时间:
2015 - 期刊:
- 影响因子:0
- 作者:
L. Peltier;Richard Brown;Y. Monczak;G. Popradi;J. Storring;P. Laneuville - 通讯作者:
P. Laneuville
An investigation of performer embodiment and performative interaction on an augmented stage
增强舞台上表演者体现和表演互动的研究
- DOI:
- 发表时间:
2019 - 期刊:
- 影响因子:0
- 作者:
Richard Brown - 通讯作者:
Richard Brown
Richard Brown的其他文献
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{{ truncateString('Richard Brown', 18)}}的其他基金
Assessing College-Ready Computational Thinking
评估大学就绪计算思维
- 批准号:
2010265 - 财政年份:2020
- 资助金额:
$ 20.87万 - 项目类别:
Continuing Grant
SBIR Phase I: Fabrication of Vertical Junction GaN FET Devices via Pulsed Laser Annealing Process
SBIR 第一阶段:通过脉冲激光退火工艺制造垂直结 GaN FET 器件
- 批准号:
1939955 - 财政年份:2019
- 资助金额:
$ 20.87万 - 项目类别:
Standard Grant
Collaborative Research: CSinParallel: Experiential Learning of Parallel and Distributed Computing Through Sight, Sound, and Touch
协作研究:CSinParallel:通过视觉、声音和触觉体验并行和分布式计算
- 批准号:
1822480 - 财政年份:2018
- 资助金额:
$ 20.87万 - 项目类别:
Standard Grant
Extracting total grain size distribution data for ash fall deposits from densely populated volcanoes (Chaparraristique volcano, El Salvador)
从人口稠密的火山(查帕拉里斯蒂克火山,萨尔瓦多)提取火山灰沉积物的总粒度分布数据
- 批准号:
NE/M005003/1 - 财政年份:2014
- 资助金额:
$ 20.87万 - 项目类别:
Research Grant
Core Capability for Chemistry Research in Southampton
南安普敦化学研究的核心能力
- 批准号:
EP/K039466/1 - 财政年份:2013
- 资助金额:
$ 20.87万 - 项目类别:
Research Grant
Collaborative Research: CS in Parallel: Scaling an Incremental Modular Approach to Injecting Parallel Computing Throughout CS Curricula
协作研究:并行计算机科学:扩展增量模块化方法以在整个计算机科学课程中注入并行计算
- 批准号:
1226172 - 财政年份:2012
- 资助金额:
$ 20.87万 - 项目类别:
Standard Grant
Collaborative Research: CCLI-Responding to manycore: A strategy for injecting parallel computing education throughout the computer science curriculum.
协作研究:CCLI-响应众核:在整个计算机科学课程中注入并行计算教育的策略。
- 批准号:
0942190 - 财政年份:2010
- 资助金额:
$ 20.87万 - 项目类别:
Standard Grant
Microfluidic Electrolytic Cells for Routine Synthesis in the Pharmaceutical Industry
用于制药行业常规合成的微流控电解池
- 批准号:
EP/G02796X/1 - 财政年份:2009
- 资助金额:
$ 20.87万 - 项目类别:
Research Grant
Student Travel Assistance for the Symposium of 35 Years of Chemical Sensors in 215th ECS. To be held May 25-27, 2009 in San Francisco.
第 215 届 ECS 化学传感器 35 年研讨会学生交通补助。
- 批准号:
0918175 - 财政年份:2009
- 资助金额:
$ 20.87万 - 项目类别:
Standard Grant
SST Integrated Particle Counting and Potentiometric Sensor Array for Water Quality Analysis
用于水质分析的 SST 集成颗粒计数和电位传感器阵列
- 批准号:
0529385 - 财政年份:2005
- 资助金额:
$ 20.87万 - 项目类别:
Standard Grant
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