Collaborative Research: Digitization TCN: iDigBees Network, Towards Complete Digitization of US Bee Collections to Promote Ecological and Evolutionary Research in a Keystone Clade

合作研究：数字化 TCN：iDigBees 网络，实现美国蜜蜂收藏的完全数字化，以促进重点进化枝的生态和进化研究

• 批准号: 2217280
• 负责人: Katrina Menard
• 金额: $ 4.73万
• 依托单位: University of Connecticut
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2022
• 资助国家: 美国
• 起止时间: 2022-12-15 至 2026-11-30
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2217280&HistoricalAwards=false
• 关键词: Collaborative; Research; Digitization; TCN; iDigBees

Bees are the most important pollinators in both managed and natural landscapes, and concerns are quickly growing about declines in bee diversity and numbers. Only a fraction of the ca. 4,000 known bee species in the United States have adequate data for assessing their presence or absence in an ecosystem. The iDigBees Thematic Collections Network addresses this problem by transcribing specimen label information for thousands of bee specimens in US insect collections into a shared global database. As a result, bees will become the first major insect group to have specimen data sufficiently digitized to promote research projects and support conservation efforts. Specifically, the iDigBees project will (1) map distributions for thousands of bee species and quantify patterns of bee biodiversity; (2) identify data gaps to inform future inventory and monitoring efforts; (3) reveal changes in species distributions over time through historic records; (4) document the impacts of a changing climate on bees; (5) identify critical taxa and geographic areas for conservation; and (6) establish a network of researchers, conservationists, and land managers to rapidly utilize data for research, education, public policy, and land management. The education program will coordinate an array of existing programs and create a new technology-mediated learning tool, SMARTBees, to serve high school and college students. Obtaining specimen-level data on US bee species and communities, and integrating findings into education programs, are essential steps toward addressing the pollinator crisis.iDigBees represents an in-depth insect biodiversity digitization initiative that will mobilize at least 350,000 bee specimen records, and 6,600 high-resolution image suites. Obtaining specimen-level data on US bee species and communities is an essential step toward addressing the pollinator crisis. Via the novel networks proposed here, species distribution patterns and “extended specimen” data will emerge, leading to testable hypotheses as to underlying mechanisms and predictions on how bees will respond to future global changes. Integrated data will also shed light on how particular life-history traits life-history traits respond to environmental change. iDigBees will help to highlight candidate pollinator restoration options for agricultural, urban, and other managed landscapes. This project, in partnership with researchers and government agencies, will provide open-source datasets for policy, research, and education. The iDigBees model will be promoted throughout North America and other continents to foster "deep global digitization”. The iDigBees network integrates educational and public engagement initiatives to work with the Biodiversity Literacy in Undergraduate Education (BLUE) RCN to build and implement novel biodiversity data-centric Open Education Resources that promote student-oriented learning. SMARTBees will serve as a digital platform featuring learning modules designed to serve culturally diverse high school students who are transitioning into community college as well as first year undergraduates. Building on the extended specimen model exemplary digital bee specimens will teach students host plant relationships, key evolutionary concepts and the important role pollinators have in sustaining the biodiversity of our planet.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

蜜蜂是管理和自然景观中最重要的传粉者，人们对蜜蜂多样性和数量下降的担忧正在迅速增长。在美国大约4000种已知蜜蜂中，只有一小部分拥有足够的数据来评估它们在生态系统中的存在与否。IDigBees主题收藏网络通过将美国昆虫收藏中数千个蜜蜂标本的标本标签信息转录到一个共享的全球数据库中来解决这个问题。因此，蜜蜂将成为第一个将标本数据充分数字化以促进研究项目和支持保护工作的主要昆虫群体。具体地说，iDigBees项目将(1)绘制数千种蜜蜂的分布图，并量化蜜蜂生物多样性的模式；(2)确定数据差距，为未来的清查和监测工作提供信息；(3)通过历史记录揭示物种分布随时间的变化；(4)记录气候变化对蜜蜂的影响；(5)确定关键的分类群和地理区域进行保护；(6)建立研究人员、自然资源保护者和土地管理人员的网络，以迅速将数据用于研究、教育、公共政策和土地管理。该教育计划将协调一系列现有的计划，并创建一种新的技术中介学习工具SMARTBEES，以服务于高中生和大学生。获取美国蜜蜂物种和群落的标本级别数据，并将研究结果整合到教育项目中，是解决传粉者危机的关键步骤。iDigBees代表了一项深入的昆虫生物多样性数字化倡议，将动员至少350,000份蜜蜂标本记录和6,600个高分辨率图像套件。获取有关美国蜜蜂物种和群落的标本级别数据是解决传粉者危机的关键一步。通过这里提出的新网络，物种分布模式和“扩展样本”数据将出现，从而产生关于潜在机制的可检验的假说，以及关于蜜蜂将如何应对未来全球变化的预测。综合数据还将阐明特定的生活史特征如何应对环境变化。IDigBees将帮助突出农业、城市和其他受管理景观的候选传粉者恢复选项。该项目与研究人员和政府机构合作，将为政策、研究和教育提供开源数据集。IDigBees模式将在北美和其他大陆推广，以促进“深度全球数字化”。IDigBees网络整合了教育和公共参与倡议，与本科生物多样性扫盲(BLUE)RCN合作，建立和实施以生物多样性数据为中心的新型开放教育资源，促进以学生为导向的学习。SMARTBEES将作为一个数字平台，以学习模块为特色，旨在为正在过渡到社区大学的不同文化背景的高中生以及一年级本科生提供服务。在扩展标本模型的基础上，示范数字蜜蜂标本将向学生传授宿主植物关系、关键进化概念以及传粉者在维持地球生物多样性方面的重要作用。该奖项反映了NSF的法定使命，并通过使用基金会的智力优势和更广泛的影响审查标准进行评估，被认为值得支持。