Digitization TCN: Collaborative Research: Plants, Herbivores, and Parasitoids: A Model System for the Study of Tri-Trophic Associations

数字化 TCN：合作研究：植物、食草动物和拟寄生物：三营养关联研究的模型系统

• 批准号: 1115144
• 负责人: Christiane Weirauch
• 金额: $ 58.69万
• 依托单位: University of California-Riverside
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2011
• 资助国家: 美国
• 起止时间: 2011-07-01 至 2016-01-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1115144&HistoricalAwards=false
• 关键词: Digitization; TCN; Collaborative; Research; Plants

Specimen data in the nation's natural history museums are essential resources for understanding biological diversity, including many species of strategic importance to agriculture and national security. Unfortunately this information is generally available by taxon type rather than integrated across kinds of organisms. This Thematic Collections Network (TCN) project addresses that problem by integrating specimen information and photographs from 14 botanical and 18 entomological collections across the United States. The data captured will dramatically improve our understanding of the relationships among the more than 11,000 species of North American Hemiptera (scale insects, aphids, leafhoppers, true bugs, and relatives), their food plants, and the wasps that parasitize the hemipterans. This TCN will utilize innovative technologies, including Web-accessible databases and high-resolution digital imaging, in order to capture and broadly disseminate via the Internet data for more than 1.6 million hemipteran, 200,000 parasitoid, and 6 million plant specimens.The Hemiptera is a group of insects containing many species of great economic importance in the United States. The specimen information captured by this TCN project for this group and the groups of plants affected by these insects will be relevant for studies in agricultural sciences, climate change, invasive species, biological classification, conservation, and ecosystems. It will represent a truly large-scale integration of data from the broadest range of non-federal collection resources in U.S. museums and universities, thereby making a significant contribution to the solution of national priorities by scientists, policy makers, and the general public. Student participation and training in modern technologies are integral aspects of the project. This award is made as part of the National Resource for Digitization of Biological Collections through the Advancing Digitization of Biological Collections program and all data resulting from this award will be available through the national resource.

美国自然历史博物馆中的标本数据是了解生物多样性的重要资源，其中包括许多对农业和国家安全具有战略重要性的物种。 不幸的是，这些信息通常是通过分类单元类型获得的，而不是跨多种生物体的整合。这个主题收藏网络 (TCN) 项目通过整合来自美国 14 个植物收藏和 18 个昆虫收藏的标本信息和照片来解决这个问题。 捕获的数据将极大地提高我们对北美半翅目 11,000 多种物种（介壳虫、蚜虫、叶蝉、真虫及其近亲）、其食用植物以及寄生在半翅目中的黄蜂之间关系的了解。 该 TCN 将利用创新技术，包括可通过网络访问的数据库和高分辨率数字成像，以捕获并通过互联网广泛传播超过 160 万个半翅类、20 万个寄生类和 600 万个植物样本的数据。包含许多在美国具有重要经济意义的昆虫类群。 TCN 项目为该类群以及受这些昆虫影响的植物类群捕获的标本信息将与农业科学、气候变化、入侵物种、生物分类、保护和生态系统的研究相关。 它将代表对美国博物馆和大学最广泛的非联邦收藏资源的数据的真正大规模整合，从而为科学家、政策制定者和公众解决国家优先事项做出重大​​贡献。 学生参与和现代技术培训是该项目不可或缺的一部分。该奖项是通过推进生物收藏数字化计划作为国家生物收藏数字化资源的一部分，该奖项产生的所有数据都将通过国家资源提供。