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（蝴蝶和蛾）是地球上最多样化的生物群体之一：全世界约有160，000种，其中包括北美约14，300种。蛾和蝴蝶是陆地栖息地的重要组成部分，也是世界上最多样化的植食动物群体之一。这类昆虫包括具有重要经济价值的物种。它们的幼仔以对人类有用的植物为食，包括谷物、棉花、烟草、木材和遮荫树。然而，许多成年人是有益的传粉者，是保护的象征，如帝王蝶所证明的。考虑到它们的经济重要性和纯粹的美丽，蝴蝶和飞蛾是博物馆收藏中最丰富的昆虫类群之一，但在非联邦收藏的大约1500万个标本中，只有一小部分有数字记录的标本标签信息，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集（WIRC）在威斯康星大学麦迪逊分校加入与北美网络主题收集网络（LepNet TCN）的鳞翅目昆虫作为现有网络（PEN）的合作伙伴。分隔温带和亚北方生物群的植物区系“张力带”穿过大湖区;威斯康星州比其他任何一个州都包含了这个地带的大部分。WIRC中的大多数鳞翅目标本都是在威斯康星州收集的，因此他们的数据将填补我们对美国中西部上部鳞翅目物种知识的一个重要和关键的空白。这个项目将提供近70，000个北美鳞翅目标本的数字化和地理参考数据。目前，威斯康星州记录鳞翅目是稀缺的LepNet扫描门户网站。列入WIRC数据集将显着增加物种的数量，为大湖张力区地区的大多数鳞翅目超科，大大提高了生态位建模的目标物种数。项目人员将制定并实施一个工作流程，该工作流程涉及转录数据，以将新的标本记录添加到WIRC现有的Specify数据库中。这些数据将通过LepNet SCAN门户网站iDigBio.org和GBIF.org提供，可用于研究，教育和公共用途。还将为中西部上张力区及其周围的大约1,500个鳞翅目物种的成年标本生成高分辨率图像。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、标本策展、成像和基于收藏的研究方面的培训和指导。该奖项反映了NSF的法定使命，并被认为值得通过使用基金会的智力价值和更广泛的影响审查标准进行评估来支持。