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

基本信息

批准号：
1802178
负责人：
Katherine Waselkov
金额：
$ 5.67万
依托单位：
California State University-Fresno 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 2023-07-31
项目状态：
已结题

来源：
https://www.nsf.gov/awardsearch/showAward?AWD_ID=1802178&HistoricalAwards=false
关键词：
Digitization TCN Collaborative Research Capturing

项目摘要

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学现象，通过对农作物，传粉媒介，害虫和生物多样性的影响影响人类社会。鉴于开花时间对气候条件的敏感性，对植物对不断变化的环境的反应的透彻理解对于预测授粉媒介，食草动物，寄生虫和植物种群的后果是必要的。在美国的草药中发现了历史开花时期的记录。该奖项建立了一个主题收集网络（TCN），该网络致力于了解加利福尼亚植物区系的开花时间变化。加利福尼亚州拥有美国任何州最多样化的植物区系，其中包含所有美国植物物种的三分之一以上。由于也受到威胁的地方性物种数量众多，该州是一个生物多样性热点。捕获的加利福尼亚的花朵（CCF）TCN将从最古老的唱片，最多样化的家庭和加利福尼亚州最受威胁的家庭中创建超过900,000种植物标本标本的图像。跨越州的22个机构，包括公立大学，州机构，博物馆和植物园，将参与这些努力。该项目将生成数据，以增加我们对开花时间变化的理解 - 对农业主义者，保护生物学家，植物分类学家，土地管理者和野生动植物生物学家的关键需求。CCF TCN中每个标本的数字化将导致高分辨率图像，高分辨率图像，分辨率的元数据记录，是一个georecorped Point的数据归档，并具有重新定义的指定。将为公众开发新的工具，以通过Symbiota门户接口搜索和显示物质数据。 CCF TCN将开发新的数据标准，以捕获和共享标本的性状数据。 CCF TCN在已经成功的国家和区域计划的基础上，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，新大学课程和K-12教育计划来群众群体的物候测量。 CCF TCN将提供历史记录，以了解目前正在通过国家物候网络和其他区域计划进行监控的植物。最后，该奖项将扩大培训博物馆策展人，收藏家和研究人员的“下一代”的努力。该奖项是通过推进生物收集计划数字化数字化来数字化生物收集资源的一部分，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NSF的法定任务，并通过该基金会的知识优点和广泛的criperia criperia criperia criperia criperia criperia criperia criperia criperia rection the Action the奖项。