Digitization TCN: Collaborative Research: Capturing California's Flowers: using digital images to investigate phenological change in a biodiversity hotspot

数字化 TCN：合作研究：捕捉加州的花朵：使用数字图像调查生物多样性热点的物候变化

• 批准号: 1802177
• 负责人: Benjamin Carter
• 金额: $ 2.08万
• 依托单位: San Jose State University Foundation
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2018
• 资助国家: 美国
• 起止时间: 2018-08-01 至 2022-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1802177&HistoricalAwards=false
• 关键词: Digitization; TCN; Collaborative; Research; Capturing

Flowering time is an important biological phenomenon, affecting human societies through its effects on agricultural crops, pollinators, pests, and biodiversity. Given the sensitivity of flowering times to climatic conditions, a thorough understanding of how plants respond to changing environments is necessary for predicting the consequences for pollinators, herbivores, parasites, and plant populations. A record of historical flowering times is found within the nation's herbaria. This award establishes a thematic collection network (TCN) dedicated to understanding flowering time shifts in the California flora. California has the most diverse native flora of any state in the U.S., containing more than one-third of all U.S. plant species. The state is a biodiversity hotspot due to the high number of endemic species that are also threatened. The Capturing California's Flowers (CCF) TCN will record flowering times from and create images of over 900,000 herbarium specimens from the oldest records, the most diverse families, and most threatened families in California. Twenty-two institutions spanning the state, including public universities, state agencies, museums, and botanic gardens, will participate in these efforts. This project will generate data that will increase our understanding of flowering time shifts - a critical need for agriculturalists, conservation biologists, plant taxonomists, land managers, and wildlife biologists.Digitization of each specimen in the CCF TCN will result in a high-resolution image, a databased record of collection metadata, a georeferenced point, and the reproductive status of the specimen. New tools will be developed for the public to search and display phenological data through a Symbiota portal interface. The CCF TCN will develop novel data standards for capturing and sharing trait data from specimens. Building on already successful national and regional programs, the CCF TCN will partner with schools, universities, botanical clubs, and the general public to crowd source phenological measurements through online expeditions, workshops, new college courses, and K-12 educational programs. The CCF TCN will provide a historical record of plants currently being monitored through the National Phenology Network and other regional programs. Finally, this award will expand efforts to train the "next generation" of museum curators, collectors, and researchers. 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 (iDigBio.org).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.

开花时间是一种重要的生物现象，通过对农作物、传粉媒介、害虫和生物多样性的影响影响着人类社会。考虑到开花时间对气候条件的敏感性，深入了解植物如何应对不断变化的环境对于预测传粉媒介、食草动物、寄生虫和植物种群的影响是必要的。在这个国家的植物标本室里可以找到历史上开花时间的记录。该奖项建立了一个专题收集网络（TCN），致力于了解加利福尼亚植物区系的开花时间变化。加州是美国本土植物种类最多的州，占美国所有植物种类的三分之一以上。由于大量的特有物种也受到威胁，该州是生物多样性的热点地区。“捕捉加州的花朵”（CCF） TCN将记录加利福尼亚最古老的、最多样化的和最受威胁的植物标本的开花时间，并创建超过90万份植物标本的图像。全州22个机构，包括公立大学、国家机构、博物馆和植物园，将参与这些努力。这个项目将产生的数据将增加我们对开花时间变化的理解——这是农业学家、保护生物学家、植物分类学家、土地管理者和野生生物学家的迫切需求。CCF TCN中每个标本的数字化将产生高分辨率图像，收集元数据的数据库记录，地理参考点和标本的繁殖状态。将开发新的工具，让公众通过Symbiota门户界面搜索和显示物候数据。CCF TCN将为从标本中获取和共享特征数据制定新的数据标准。在已经取得成功的国家和地区项目的基础上，CCF TCN将与学校、大学、植物俱乐部和公众合作，通过在线考察、研讨会、新的大学课程和K-12教育项目，聚集资源物候测量。CCF TCN将提供目前通过国家物候网络和其他区域项目监测的植物的历史记录。最后，这个奖项将扩大培养“下一代”博物馆馆长、收藏家和研究人员的努力。该奖项是通过推进生物馆藏数字化计划的国家生物馆藏数字化资源的一部分，该奖项产生的所有数据将通过国家资源（iDigBio.org）获得。该奖项反映了美国国家科学基金会的法定使命，并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，被认为值得支持。