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: 2216932
• 负责人: Michael Dillon
• 金额: $ 2.5万
• 依托单位: University of Wyoming
• 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=2216932&HistoricalAwards=false
• 关键词: Collaborative; Research; Digitization; TCN; iDigBees; 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.

蜜蜂是托管和自然景观中最重要的传粉媒介，对蜜蜂多样性和数量下降的关注很快就会增加。只有一小部分。美国有4,000种已知的蜜蜂物种具有足够的数据来评估其在生态系统中的存在或不存在。 IDIGBEES主题集合网络通过转录美国绝缘收集中成千上万个Bee标本的标本标签信息来解决此问题，以中的全局数据库。结果，蜜蜂将成为第一个拥有正确数字化标本数据以促进研究项目和支持保护工作的主要昆虫群体。具体而言，IDIGBEES项目将（1）为数千种蜜蜂物种的地图分布，并量化蜜蜂生物多样性的模式； （2）确定数据差距以告知未来的库存和监视工作； （3）通过历史记录揭示了物种分布的变化； （4）记录气候对蜜蜂的影响； （5）确定关键分类单元和地理区域以进行保护； （6）建立一个研究人员，保护主义者和土地管理者网络，以迅速利用数据进行研究，教育，公共政策和土地管理。教育计划将协调一系列现有计划，并创建一个新的技术介导的学习工具SmartBees，以服务高中和大学生。获得有关美国蜜蜂物种和社区的标本级数据，并将发现纳入教育计划，这是解决传粉媒介危机的重要步骤。Idigbees代表了一项深入的昆虫生物多样性数字化计划，将至少动员350,000个BEE标本记录和6,600个高分辨率的图像套房。获得有关美国蜜蜂物种和社区的标本级数据是解决传粉媒介危机的重要一步。通过此处提出的新型网络，将出现物种分布模式和“扩展标本”数据，从而导致可检验的假设，即蜜蜂将如何应对未来的全球变化，并预测了基本机制和预测。综合数据还将阐明特定的生活历史特征如何对环境变化做出反应。 Idigbees将有助于强调农业，城市和其他托管景观的候选传粉媒介恢复选择。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模型将在北美和其他大陆促进“深度全球数字化”。 IDIGBEES网络集成了教育和公共参与计划，以与本科教育的生物多样性素养合作，以构建和实施以促进学生为导向学生学习的新型生物多样性数据中心的新型生物多样性开放教育资源。 SmartBees将用作一个数字平台，其学习模块旨在为正在过渡到社区大学的文化多样化的高中学生以及第一年的本科生。建立在扩展标本模型的基础上，示例性的数字蜜蜂标本将教学学生主持植物关系，关键的进化概念以及授粉媒介在维持我们星球的生物多样性方面所具有的重要作用。该奖项反映了NSF的法定任务，并通过使用该基金会的知识分子和宽广的影响来评估Criteria criteria criteria criteria。