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: 1802312
• 负责人: Peter Bowler
• 金额: $ 4.79万
• 依托单位: University of California-Irvine
• 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=1802312&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、传粉者、害虫和生物多样性的影响来影响人类社会。鉴于开花时间对气候条件的敏感性，彻底了解植物对变化的环境的反应对于预测传粉者、食草动物、寄生虫和植物种群的后果是必要的。在这个国家的草本植物中发现了历史上开花时间的记录。该奖项建立了一个主题收集网络(TCN)，致力于了解加州植物区系中的开花时间变化。加州拥有美国所有州中最多样化的本土植物区系，包含了美国三分之一以上的植物物种。该州是生物多样性的热点，因为有大量的特有物种也受到了威胁。捕捉加州花卉(CCF)TCN将记录加州最古老的记录、最多样化的家庭和最受威胁的家庭的90多万个植物标本的开花时间，并创建图像。包括公立大学、国家机构、博物馆和植物园在内的22家横跨全州的机构将参与这些努力。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--这是农学家、保护生物学家、植物分类学家、土地管理人员和野生动物生物学家的迫切需要。CCF TCN中的每个标本的数字化将产生高分辨率的图像、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，供公众通过Symbiota门户界面搜索和显示物候数据。CCF TCN将开发新的数据标准，用于从标本中捕获和共享特征数据。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，通过在线探险、研讨会、新的大学课程和K-12教育项目，众包物候测量。CCF TCN将提供目前通过国家物候学网络和其他地区项目监测的植物的历史记录。最后，这个奖项将扩大努力，培养博物馆馆长、收藏家和研究人员的“下一代”。该奖项是作为通过推进生物收藏数字化计划的生物收藏数字化国家资源的一部分颁发的，由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NSF的法定使命，并已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。