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: 1401450
• 负责人: James Hanken
• 金额: $ 5.84万
• 依托单位: Harvard University
• 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 2018-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1401450&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).

北美的快速生物多样性变化对基本生态系统服务有重大影响，从对土壤健康和养分循环到农业，林业和水质的影响。爆炸的入侵物种人群威胁着淡水和陆地栖息地，并可能影响国家的自然资源。轻松获取用于物种出现，丰富性和分销范围的强大，专业审查的基线数据，并监视这些参数如何随着时间的流逝而变化，将有助于保护国家自然资源，并大大提高有效恢复，土地管理计划和保护管理的能力。 许多本科生将接受数字化技术的培训，并将开发模块化展览，以吸引公众对生物多样性变化的兴趣。有效的监视需要轻松的电子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，以促进知情的土地管理决策。大量的标本数据包含在美国自然历史收藏中，但是这些数据中的大多数不容易从数字资源中访问。科学标本收集的大小和复杂性需要捕获标本数据的重大技术进步。这个为期四年的合作项目的目的是快速数字化200万标本及其来自十个节肢动物和软体动物收藏的当地数据，该数据位于六个州的美国六个主要博物馆（IL，OH，OH，AL，MI，MI，DE，PA）。该项目将通过使用光学特征和语音识别技术来显着自动化标本数据捕获。该项目的数字化数据将立即用于基于栖息地的分配建模和分析。该奖项是通过在生物收集计划的数字化数字化中数字化生物收集资源的一部分，并且该奖项产生的所有数据将通过国家资源（IDIGBIO.ORG）获得。