Collaborative Research: Digitization TCN: InvertEBase: Reaching Back to See the Future: Species-rich Invertebrate Faunas Document Causes and Consequences of Biodiversity Shifts

合作研究：数字化 TCN：InvertEBase：回望未来：物种丰富的无脊椎动物区系记录生物多样性转变的原因和后果

• 批准号: 1402785
• 负责人: Gavin Svenson
• 金额: $ 30.58万
• 依托单位: Cleveland Museum of Natural History
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2014
• 资助国家: 美国
• 起止时间: 2014-09-01 至 2020-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1402785&HistoricalAwards=false
• 关键词: Collaborative; Research; Digitization; TCN; InvertEBase

The rapid biodiversity change in North America has significant effects on essential ecosystem services, from impact on soil health and nutrient cycling, to agriculture, forestry and water quality. Exploding populations of invasive species threaten fresh water and terrestrial habitats and potentially impact the natural resources of the nation. Easy access to robust, expertly vetted baseline data for species occurrences, abundances, and distribution ranges, and monitoring how these parameters have changed through time, will facilitate the protection of the nation's natural resources, and vastly improve the capacity for effective restoration, land management planning, and conservation management. Numerous undergraduate students will receive training in digitization technologies and a modular exhibit will be developed to engage public interest in biodiversity changes.Effective monitoring requires easy electronic access to historical specimen baseline information for temporal and regional species diversity comparisons that can facilitate informed land management decisions. Vast amounts of specimen data are housed within the nation's natural history collections, but most of these data are not readily accessible from digital resources. Size and complexity of scientific specimen collections require major technological advances in capturing specimen data. The goal of this four-year collaborative project is the rapid digitization of 2 million specimens and their locality data from ten arthropod and mollusk collections housed at six major US museums in six states (Il, OH, AL,MI, DE, PA). This project will significantly automate specimen data capture by utilizing optical character and voice-recognition technologies. The digitized data from this project will be immediately deployed for habitat-based distribution modeling and analyses.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).

北美生物多样性的快速变化对基本生态系统服务产生了重大影响，从对土壤健康和养分循环的影响到农业、林业和水质。入侵物种数量的激增威胁着淡水和陆地栖息地，并可能影响国家的自然资源。轻松获取经过专业审查的物种出现、丰度和分布范围的可靠基线数据，并监测这些参数随时间的变化情况，将有助于保护国家自然资源，并大大提高有效恢复和土地管理的能力规划和保护管理。 许多本科生将接受数字化技术培训，并将开发一个模块化展览，以吸引公众对生物多样性变化的兴趣。有效的监测需要轻松地以电子方式访问历史标本基线信息，以进行时间和区域物种多样性比较，从而促进明智的土地管理决策。国家自然历史馆藏中保存着大量的标本数据，但其中大部分数据无法从数字资源中轻松获取。科学标本收藏的规模和复杂性要求在捕获标本数据方面取得重大技术进步。这个为期四年的合作项目的目标是快速数字化来自美国六个州（伊利诺伊州、俄亥俄州、阿拉巴马州、密歇根州、特拉华州、宾夕法尼亚州）六个主要博物馆的 10 个节肢动物和软体动物收藏品中的 200 万个标本及其位置数据。该项目将利用光学字符和语音识别技术显着自动化样本数据采集。该项目的数字化数据将立即部署用于基于栖息地的分布建模和分析。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将可通过国家资源 (iDigBio.org) 获取。