Digitization PEN: Small and Hungry: Enhancing LepNet TCN with microlepidoptera and 50 years of host plant data from the Essig Museum

数字化 PEN：小而饥饿：利用微鳞翅目和 Essig 博物馆 50 年寄主植物数据增强 LepNet TCN

• 批准号: 2101816
• 负责人: Peter Oboyski
• 金额: $ 17.5万
• 依托单位: University of California-Berkeley
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2021
• 资助国家: 美国
• 起止时间: 2021-09-15 至 2024-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2101816&HistoricalAwards=false
• 关键词: Digitization; PEN; Small; Hungry; Enhancing

Lepidoptera (butterflies and moths) is the most diverse order of insect herbivores. Rich in ecological data they are often models for co-evolution, population dynamics, and environmental change. Because of their dependence on particular plant species and climate zones, many species are used as environmental indicators of habitat quality and climatic shifts. However, digitization of insect collections, particularly Lepidoptera, lag far behind most other groups due to the large size of collections, the small and delicate nature of specimens, and the tiny, difficult to read specimen labels. The Lepidoptera of North America Network (LepNet) TCN is addressing this paucity of data by digitizing occurrence records of butterflies and moths from over 28 institutions across the United States, along with high resolution images of over 95,000 species. The Essig Museum is contributing to this effort by adding over 100 years of specimen records and ecological data from western North America. All data and images are freely and immediately available online through aggregators, including iDigBio, GBIF, SCAN, and the Essig Museum Database, to researchers, educators, land managers, conservation planners, and the public.The Essig Museum is a leading collection of Lepidoptera in the western US with extensive taxonomic breadth and occurrence density, particularly for microlepidoptera in northern California and Mexico. Past and ongoing projects of the Essig Museum focus on specialized habitats such dunes, coastal scrub, and offshore islands, as well as recovery from wildfires and long-term sampling of regional preserves. Moreover, a long tradition of rearing specimens from host plants, including fruit and stem borers, gall-formers, and leaf-miners, has resulted in many decades of detailed records of interaction data including host plants and parasitoids. This project will disseminate georeferenced digital data for 125,000 butterfly and moth specimens, along with high resolution images of 2000 species, including 608 holotypes. These data will fill many gaps for western North America to improve niche modelling efforts and investigate population dynamics for the past 100 years. High resolution images are used to train automated identification services to address bottlenecks in ecological and conservation research and rapid identification of pests. Much of the digitization work will be carried out by undergraduate students who will also receive training in biodiversity informatics and insect biology. Data and analyses derived from this effort will be used in online and public exhibits related to insect evolution, global change biology, and natural history of western North America.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)是昆虫中种类最多的食草动物。它们拥有丰富的生态数据，常常是共同进化、种群动态和环境变化的模型。由于它们依赖于特定的植物物种和气候区域，许多物种被用作栖息地质量和气候变化的环境指标。然而，昆虫收藏的数字化，特别是鳞翅目昆虫收藏的数字化，远远落后于大多数其他组，原因是收集的标本规模大，标本的性质小而精致，标本标签微小，难以阅读。北美鳞翅目网络(LepNet)TCN正在通过数字化全美28个机构的蝴蝶和蛾的发生记录以及超过95,000个物种的高分辨率图像来解决数据匮乏的问题。Essig博物馆通过添加来自北美西部的100多年的标本记录和生态数据，为这一努力做出了贡献。所有数据和图像都可以通过iDigBio、GBIF、SCAN和Essig博物馆数据库等聚合器在网上免费获取，供研究人员、教育工作者、土地管理人员、保护规划者和公众使用。Essig博物馆是美国西部领先的鳞翅目收藏机构，具有广泛的分类广度和发生密度，特别是加州北部和墨西哥的小鳞翅目昆虫。Essig博物馆过去和正在进行的项目侧重于特殊的栖息地，如沙丘、沿海灌木丛和离岸岛屿，以及从野火中恢复和对区域保护区进行长期采样。此外，长期饲养寄主植物标本的传统，包括果实和茎害虫、成虫者和潜叶虫，导致了数十年来包括寄主植物和寄生蜂在内的相互作用数据的详细记录。该项目将传播125,000个蝴蝶和蛾标本的地理参考数字数据，以及2000个物种的高分辨率图像，其中包括608个全息模式。这些数据将填补北美西部在改进生态位建模工作和调查过去100年的种群动态方面的许多空白。高分辨率图像被用于培训自动识别服务，以解决生态和保护研究以及有害生物快速识别方面的瓶颈。大部分数字化工作将由本科生进行，他们还将接受生物多样性信息学和昆虫生物学方面的培训。来自这项工作的数据和分析将用于与昆虫进化、全球变化生物学和北美西部自然历史有关的在线和公开展览。该奖项反映了NSF的法定使命，并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，被认为值得支持。