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

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
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2001
资助国家:
美国
项目状态:
已结题
起止时间:
2001-05-15 至 2004-04-30

项目摘要

项目成果

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中文摘要
翻译
堪萨斯大学北美和墨西哥野生蜜蜂标本级数据库新的计算和信息技术提供了创新的机会,利用博物馆藏品中的数据来处理涉及保护、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,很少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(蜂总科)在世界范围内有20,000多种被描述的物种,在自然界的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。堪萨斯大学优秀蜜蜂收藏中的数据将被输入现代关系数据库,以便将它们带入生物信息学研究的货币。该项目将1)从昆士兰大学自然历史博物馆/生物多样性研究中心昆虫学部收藏的35,400份墨西哥蜜蜂标本和120,000份北美蜜蜂总科(7科;2 272种北美蜜蜂和838种墨西哥蜜蜂)标本中获取标本数据;2)为地点信息提供地理参考(纬度和经度),以便这些数据最大限度地对最多样化的用户有用;3)利用Z39.50查询和检索协议在万维网上以完全可搜索的形式提供该数据库。这将是第一个墨西哥和北美蜜蜂的标本数据的综合数据库,与墨西哥蜜蜂的现有数据相结合,将包括近200,000个个体标本记录,代表3,100多个物种的数据。一旦这些蜜蜂的数据被捕获、验证和准确的地理参考,用户社区就可以永久访问它们。该数据库将可使用Z39.50协议进行网络访问,以进行搜索和数据检索。检索到的数据将可以与其他可能开发或放在网上的BEE数据库互操作,也可以与地理空间、建模和其他分析工具(如“物种分析员”、生物多样性研讨会和Arcview)互操作,用于系统学、生态学和生物多样性动力学的研究。生物多样性数据的测绘、可视化和建模程序正在不断改进,从而增加了BEE数据库的价值。通过将这些材料带入数据库,特别是与地理位置相关的数据,将有可能将分布模式与其他动植物种群的分布模式联系起来,用于更广泛的生物地理研究,其中包括关于温度梯度、土壤类型和其他物理数据的地理信息系统信息。这些数据将用于有关本地传粉者、农业、生物多样性、生物地理学、保护和资源管理以及基础和比较研究计划的决策。
英文摘要
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.
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