globalbioticinteractions/AEC-DBCNet: Collaborative databasing of North American bee collections within a global informatics network project archive

Data in this archive are from the <em>Collaborative databasing of North American bee collections within a global informatics network project</em>. Data was originally captured using Arthropod Easy Capture software developed at the American Museum of Natural History (AMNH), New York. Project lead investigators are John Ascher (Principal Investigator) and Jerome Rozen (Co-Principal Investigator) at the AMNH, and Douglas Yanega (Principal Investigator), University of California Riverside. <strong>Please use this citation for this archive: </strong>John Ascher, Digital Bee Collections Network data archive from the C<em>ollaborative databasing of North American bee collections within a global informatics network project</em>. Version: 08 Mar 2016. https://doi.org/10.5281/zenodo.1436853 This project was supported by the National Science Foundation grant DBI 0956388 and DBI 0956340 <strong>ABSTRACT</strong> Natural history collections contain millions of bee specimens documenting the geographic ranges, temporal occurrence patterns, and floral associations of the 20,000 described bee species. This project will digitize and consolidate specimen records from 10 bee collections across the United States. The investigators will make or verify species identifications, capture full label data, georeference and error-check localities, and upload this information to publicly accessible databases. Web-based tools will be used to capture data across collections efficiently, validate bee and plant names through automated comparison with taxonomic authority files, and synthesize data on species pages with images, digitized literature records, and other information about bees and their host plants. Data will be uploaded to the Global Biodiversity Information Facility and to Discover Life (www.discoverlife.org), a website that features customizable global maps for all global bee species and dynamic identification keys for North American species. To obtain information needed to conserve and manage pollinators, the investigators will work with ecologists to model geographic and temporal trends in bee populations in relation to environmental variables. Bees are the most important pollinators of the approximately 1/3 of crops that require animal pollination. Recent declines in honey bee populations highlight the need to understand better the roles of native bees in agricultural and natural systems. This project will help predict risks to bees and their pollination services from climate change, habitat loss, and other factors. The outreach program Bee Hunt (www.discoverlife.org/bee) will educate the public, including students in underserved communities, about bee diversity and the importance of pollination services. Using digital photography and rigorous research protocols, Bee Hunt will empower people at biological field stations, nature centers, parks, schools, and other sites to collect high-quality data to augment information from specimen records.本归档数据集源自**《全球信息网络框架下北美蜂类标本馆藏协作编目项目》（Collaborative databasing of North American bee collections within a global informatics network project）**。原始数据通过美国自然历史博物馆（American Museum of Natural History, AMNH，纽约）开发的Arthropod Easy Capture软件采集。项目首席研究员为美国自然历史博物馆的约翰·阿斯彻（John Ascher，首席研究员）与杰罗姆·罗森（Jerome Rozen，联合首席研究员），以及加州大学河滨分校的道格拉斯·亚内加（Douglas Yanega，首席研究员）。 **本数据集归档请采用以下引用格式：** 约翰·阿斯彻, 《全球信息网络框架下北美蜂类标本馆藏协作编目项目》数字蜂类馆藏网络数据归档. 版本: 2016年3月8日. https://doi.org/10.5281/zenodo.1436853 本项目由美国国家科学基金会（National Science Foundation）资助，资助编号为DBI 0956388与DBI 0956340。 **摘要** 自然历史馆藏保存了数百万件蜂类标本，完整记录了已描述的20000种蜂类的地理分布范围、时间发生模式以及与寄主植物的关联关系。本项目将对美国境内10个蜂类标本馆藏的记录进行数字化整合。研究团队将完成或复核物种鉴定、提取完整标签信息、开展地理坐标标定与地点数据差错核查，并将相关信息上传至公开可访问的数据库。项目将采用基于网页的工具高效完成多馆藏的数据采集工作，通过与分类学权威文献库自动比对验证蜂类与植物名称，并将物种页面数据与图像、数字化文献记录以及蜂类及其寄主植物的其他相关信息进行整合。数据集将上传至全球生物多样性信息设施（Global Biodiversity Information Facility）以及Discover Life网站（www.discoverlife.org），该平台可提供全球所有蜂类物种的可定制化全球分布地图，以及北美蜂类物种的动态分类检索表。 为获取保护与管理传粉昆虫所需的相关信息，研究团队将与生态学家合作，基于环境变量模拟蜂类种群的地理与时间分布趋势。蜂类是全球约三分之一依赖动物传粉的农作物中最重要的传粉者。近期蜜蜂种群的衰退凸显了深入理解本土蜂类在农业与自然生态系统中作用的必要性。本项目将助力预测气候变化、栖息地丧失及其他因素对蜂类及其传粉服务带来的风险。 公众科普项目**Bee Hunt**（www.discoverlife.org/bee）将面向公众开展蜂类多样性与传粉服务重要性的科普教育，覆盖包括服务资源不足社区的学生在内的群体。通过数码摄影与严谨的研究规程，Bee Hunt将赋能生物野外工作站、自然中心、公园、学校及其他场所的人员采集高质量数据，以补充标本馆藏的相关信息。