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

Data in this archive are from the Collaborative databasing of North American bee collections within a global informatics network project. 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. Please use this citation for this archive: John Ascher, Digital Bee Collections Network data archive from the Collaborative databasing of North American bee collections within a global informatics network project. 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 ABSTRACT 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.

本档案中的数据源自全球信息网络项目下的北美蜂类标本馆藏协作数据库构建（Collaborative databasing of North American bee collections within a global informatics network project）。
数据最初由纽约美国自然历史博物馆（American Museum of Natural History, AMNH）开发的节肢动物快速采集软件（Arthropod Easy Capture）采集。
项目首席研究员为美国自然历史博物馆的约翰·阿舍（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）。
本档案的引用格式如下：约翰·阿舍. 全球信息网络项目下北美蜂类标本馆藏协作数据库构建的数字蜂类馆藏网络数据档案. 版本：2016年3月8日. https://doi.org/10.5281/zenodo.1436853
本项目获美国国家科学基金会资助，资助编号为DBI 0956388与DBI 0956340。

摘要：自然历史馆藏拥有数百万件蜂类标本，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。
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。研究人员将完成或复核物种鉴定、采集完整标签数据、对采集地点进行地理配准与误差校验，并将上述信息上传至公开可访问的数据库。
本项目将依托基于网页的工具高效完成跨馆藏的数据采集，通过与分类学权威文件自动比对验证蜂类与植物名称，并将物种页面的数据与图像、数字化文献记录以及其他关于蜂类及其寄主植物的信息进行整合。
数据将上传至全球生物多样性信息设施（Global Biodiversity Information Facility）与Discover Life网站（www.discoverlife.org）——该网站提供全球所有蜂类物种的可自定义全球地图，以及北美蜂类物种的动态鉴定检索表。

为获取保护与管理传粉者所需的信息，研究人员将与生态学家合作，基于环境变量模拟蜂类种群的地理与时间分布趋势。
蜂类是约三分之一依赖动物传粉的农作物最重要的传粉者。近期蜜蜂种群数量下降的现象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。

科普项目“蜜蜂搜寻（Bee Hunt）”（www.discoverlife.org/bee）将向公众（包括服务不足社区的学生）普及蜂类多样性与传粉服务重要性的相关知识。
通过数码摄影与严谨的研究规程，蜜蜂搜寻项目将赋能生物野外站、自然中心、公园、学校及其他场所的民众，使其能够采集高质量的数据以补充标本馆藏的信息。