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.

国家自然历史博物馆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，这些信息通常是按分类单元类型提供的，而不是跨各种生物体的综合信息。这个专题馆藏网络（TCN）项目通过整合来自美国14个植物学和18个昆虫学馆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11,000多种北美半翅目昆虫（蚧虫、蚜虫、叶蝉、真虫及其近亲）、它们的食物植物以及寄生在半翅目昆虫上的黄蜂之间关系的理解。该TCN将利用创新技术，包括可上网的数据库和高分辨率数字成像，通过互联网获取并广泛传播160多万半足类动物、20万寄生性动物和600万植物标本的数据。半翅目昆虫是一组昆虫，包括许多在美国具有重要经济意义的物种。该TCN项目为这一类群和受这些昆虫影响的植物类群捕获的标本信息将对农业科学、气候变化、入侵物种、生物分类、保护和生态系统的研究具有重要意义。它将代表美国博物馆和大学中最广泛的非联邦收集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。学生的参与和对现代技术的培训是该项目的组成部分。该奖项是国家生物馆藏数字化资源的一部分，通过推进生物馆藏数字化计划，该奖项产生的所有数据将通过国家资源提供。