A Specimen-Level Database of the North American and Mexican Wild Bees (Apoidea) at the University of Kansas

堪萨斯大学北美和墨西哥野生蜜蜂 (Apoidea) 的标本级数据库

• 批准号: 0096905
• 负责人: James Ashe
• 金额: $ 23.6万
• 依托单位: University of Kansas Center for Research Inc
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2001
• 资助国家: 美国
• 起止时间: 2001-05-15 至 2004-04-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0096905&HistoricalAwards=false
• 关键词: Specimen; Level; Database; North; American

ABSTRACT0096905A specimen-level database of the North American and Mexican wild bees at the University of KansasNew computational and information technology provides innovative opportunities to use data resident in museum collections to address research projects involving conservation, predictive modeling, visualization of distributions, as well as other biological phenomena. Unfortunately, few databases for insects or other invertebrates exist for use with these new tools. The wild bees (superfamily Apoidea), with over 20,000 described species world-wide, play a profound role in the economy of nature; as pollinators, they are critically important in structuring ecosystems and have a major impact on agriculture. Data in the excellent bee collection at the University of Kansas will be entered in a modern relational database in order to bring them into a currency for research in biological informatics. This project will 1) capture specimen data from 35,400 specimens of Mexican and 120,000 specimens of North American Apoidea (bees) (7 families; 2272 North American and 838 Mexican species) from the collection of the Division of Entomology of the KU Natural History Museum/Biodiversity Research Center in a fully relational database; 2) provide georeferencing (latitude and longitude) for locality information so that the data are maximally useful to the greatest diversity of users; and 3) make this database available in fully searchable form on the World Wide Web using Z39.50 query and retrieval protocol.This will be the first comprehensive database of specimen data for Mexican and North American Apoidea (bees) and will include nearly 200,000 individual specimen records, representing data for over 3,100 species, when combined with existing data for Mexican bees. Once the data for these bees are captured, verified and accurately georeferenced, they become permanently accessible to the user community. The database will be web accessible using Z39.50 protocols for search and data retrieval. Retrieved data will be interoperable with other bee databases that may be developed or placed on-line, and with geospatial, modeling and other analytical tools (such as "Species Analyst," Biodiversity Workshop, and Arcview) for research in systematics, ecology, and biodiversity dynamics. Programs for mapping, visualization and modeling of biodiversity data are constantly improving, thereby increasing the value of the bee database. By bringing this material into a database, particularly with georeferenced locality data, it will be possible to associate distributional patterns with those of other plant and animal groups for broader biogeographical studies incorporating G.I.S. information on temperature clines, soil types, and other physical data. The data will be available for use in policy decisions concerning native pollinators, agriculture, biological diversity, biogeography, conservation, and resource management as well as basic and comparative research programs.

美国堪萨斯大学的一个北美和墨西哥野生蜜蜂的计算机级数据库新的计算和信息技术提供了创新的机会，利用博物馆收藏的数据来解决涉及保护、预测建模、分布可视化以及其他生物现象的研究项目。不幸的是，几乎没有昆虫或其他无脊椎动物的数据库可以与这些新工具一起使用。野生蜜蜂（蜜蜂总科）在世界范围内有超过20，000种描述的物种，在自然经济中发挥着深远的作用;作为传粉者，它们在构建生态系统方面至关重要，并对农业产生重大影响。 在堪萨斯大学收集的优秀蜜蜂的数据将被输入一个现代的关系数据库，以便将它们变成生物信息学研究的货币。 该项目将1）从35，400个墨西哥标本和120，000个北美蜜蜂标本中采集标本数据（7科; 2272北美和838墨西哥物种）从收集的昆虫科的KU自然历史博物馆/生物多样性研究中心在一个完全相关的数据库; 2）提供地理参考（纬度和经度）的位置信息，使数据是最有用的最大多样性的用户;和3）利用Z39.50查询和检索协议，使该数据库在万维网上以完全可检索的形式提供。这将是第一个全面的墨西哥和北美Apoidea（蜜蜂）的标本数据，并将包括近200，000个个体标本记录，代表超过3，100个物种的数据，与墨西哥蜜蜂的现有数据相结合。 一旦这些蜜蜂的数据被捕获，验证和准确的地理参考，它们就可以被用户社区永久访问。 该数据库将可通过Z39.50搜索和数据检索协议在网上查阅。 检索到的数据将与其他可能开发或在线放置的蜜蜂数据库以及地理空间、建模和其他分析工具（如“物种分析员”、生物多样性讲习班和Arcview）进行互操作，以进行系统学、生态学和生物多样性动态研究。 生物多样性数据的绘图、可视化和建模程序不断改进，从而提高了蜜蜂数据库的价值。 通过将这些材料纳入数据库，特别是与地理参考位置数据相结合，将有可能将分布模式与其他植物和动物群体的分布模式联系起来，以便进行更广泛的地理地理研究。关于温度梯度、土壤类型和其他物理数据的信息。 这些数据将可用于有关本地传粉者、农业、生物多样性、地理学、保护和资源管理以及基础和比较研究计划的决策。