PEN: Digitization: Enhancing LepNet: Digitization and integration of significant butterfly and moth collections from the upper Midwest Tension Zone region

PEN：数字化：增强 LepNet：中西部紧张区上游地区重要蝴蝶和飞蛾收藏的数字化和整合

• 批准号: 2001548
• 负责人: Craig Brabant
• 金额: $ 17.46万
• 依托单位: University of Wisconsin-Madison
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2020
• 资助国家: 美国
• 起止时间: 2020-09-15 至 2024-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2001548&HistoricalAwards=false
• 关键词: PEN; Digitization; Enhancing; LepNet; integration

Lepidoptera (butterflies and moths) are one of the most diverse groups of organisms on the planet: worldwide there are approximately 160,000 species, including around 14,300 species in North America. Moths and butterflies are a conspicuous component of terrestrial habitats and one of the most diverse groups of plant-feeding animals worldwide. This insect group includes species of great economic importance. Their juveniles feed on plants useful to humans, including grains, cotton, tobacco, and timber and shade trees. However, many of the adults are beneficial as pollinators and are icons of conservation as evidenced by Monarch butterflies. Given their economic importance and sheer beauty, butterflies and moths are one of the most abundant insect group in museum collections, but only a fraction of the approximately 15 million specimens in non-federal collections have had their specimen label information digitally recorded and accessible to researchers and educators. This award will allow the Wisconsin Insect Research Collection (WIRC) at UW-Madison to join with the Lepidoptera of North America Network Thematic Collection Network (LepNet TCN) as a Partner to Existing Network (PEN). A floristic “Tension Zone” separating temperate and sub-boreal biota passes through the Great Lake Region; Wisconsin contains a greater portion of this zone than any other state in which it is found. The majority of Lepidoptera specimens in the WIRC were collected in Wisconsin and their data will thus fill a significant and critical gap in our knowledge of Lepidoptera species in the upper Midwestern United States.This project will provide digitized and georeferenced data for nearly 70,000 North American Lepidoptera specimens. Currently, Wisconsin records for Lepidoptera are scarce in the LepNet SCAN portal. Inclusion of the WIRC dataset will significantly increase the number of species-level occurrences for the Great Lake Tension Zone region for most Lepidoptera superfamilies, greatly enhancing the target number of species for ecological niche modeling. Project personnel will develop and implement a workflow that involves transcribing data to add new specimen records to the WIRC’s existing Specify database. These data will be available through the LepNet SCAN portal, iDigBio.org, and GBIF.org, where they can be accessed for research, education, and public use. High-resolution images will also be generated for about 1,500 adult exemplar specimens for Lepidoptera species in and around the upper Midwest tension zone. Participating undergraduate and graduate students, as well as interns and volunteers, will be trained and mentored in databasing workflows, specimen curation, imaging, and collections-based research.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.

鳞翅目（蝴蝶和飞蛾）是地球上最多样化的生物类群之一：全世界约有 160,000 种，其中北美约 14,300 种。飞蛾和蝴蝶是陆地栖息地的重要组成部分，也是最多样化的生物之一。世界范围内以植物为食的动物群体，其中包括具有重要经济意义的物种，其中包括对人类有用的植物。然而，许多成虫作为传粉者是有益的，并且是保护的象征，鉴于它们的经济重要性和纯粹的美丽，蝴蝶和飞蛾是最丰富的物种之一。博物馆收藏的昆虫群，但非联邦收藏的约 1500 万个标本中只有一小部分的标本标签信息被数字化记录并可供研究人员和教育工作者使用。该奖项将允许威斯康星州昆虫研究收藏。威斯康辛大学麦迪逊分校 (WIRC) 与北美鳞翅目网络主题收集网络 (LepNet TCN) 合作，成为现有网络 (PEN) 的合作伙伴 一个分隔温带和亚寒带生物群的植物区系“张力区”穿过大洋。威斯康星州湖区的面积比任何其他州都多。WIRC 中的大多数鳞翅目标本都是在威斯康星州采集的，因此它们的数据将填补该区域的空白。我们对美国中西部上游的鳞翅目物种的了解存在重大而关键的差距。该项目将为近 70,000 个北美鳞翅目标本提供数字化和地理参考数据。目前，威斯康星州的鳞翅目记录在 LepNet SCAN 门户中很少。 WIRC 数据集将显着增加大湖紧张区地区大多数鳞翅目超科的物种级出现数量，从而大大提高目标项目人员将开发和实施一个工作流程，其中包括转录数据以将新的标本记录添加到 WIRC 现有的指定数据库中。这些数据将通过 LepNet SCAN 门户、iDigBio.org 和 GBIF 提供。 org 中，还可以为研究、教育和公众使用生成约 1,500 个鳞翅目昆虫成年样本的高分辨率图像。参与的本科生和研究生以及实习生和志愿者将接受数据库工作流程、标本管理、成像和基于馆藏的研究方面的培训和指导。该奖项反映了 NSF 的法定使命，并被认为是值得的。通过使用基金会的智力优势和更广泛的影响审查标准进行评估来提供支持。