Digitisation / Cataloguing of non-textual objects: Development of new digitization standards for the large-scale assessment of leaf venation traits from herbarium collections using microradiographic imaging

非文本对象的数字化/编目：开发新的数字化标准，用于使用显微放射成像对植物标本馆收藏的叶脉特征进行大规模评估

• 批准号: 247987558
• 负责人: Dr. Jörg Habersetzer
• 金额: --
• 依托单位: Abteilung Botanik und Molekulare Evolutionsforschung
• 依托单位国家: 德国
• 项目类别: Cataloguing and Digitisation (Scientific Library Services and Information Systems)
• 财政年份: 2014
• 资助国家: 德国
• 起止时间: 2013-12-31 至 2016-12-31
• 项目状态: 已结题
• 来源: https://gepris.dfg.de/gepris/projekt/247987558?language=en
• 关键词: Digitisation; Cataloguing; non; textual; objects

Herbaria with their large collections of recent and historical plant specimens document environmental changes over historical periods and are therefore increasingly used as environmental archives in research. According to recent studies, leaf venation has proven useful as a proxy for environmental conditions, with the architecture of the minor venation being especially important. However, traditional methods for the preparation of leaf venation rely on chemical treatment, which is destructive and time-consuming and therefore not suitable for the analysis of large series of leaf samples as required in functional ecological research. Thus, the aim of the project is to develop a standard for the digitization of leaf venation traits that permits a rapid, non-destructive, largely automated assessment of leaf venation traits from herbarium specimens. Microradiographic imaging has recently been shown to be a promising technique that will be used and optimized for the purpose of this study. The digitized data will be made available to the public via the online collection database SeSam (incl. GBIF-link). Moreover, the venation data will be linked to the TRY database, which is the world’s largest repository for functional plant traits.

植物标本馆的大量近期和历史植物标本记录了历史时期的环境变化，因此越来越多地用作研究中的环境档案。根据最近的研究，叶脉已被证明可以作为环境条件的代理，其中小脉的结构尤为重要。然而，传统的叶脉制备方法依赖于化学处理，具有破坏性和耗时，因此不适合功能生态学研究所需的大系列叶片样品分析。因此，该项目的目的是为叶脉特征的数字化制定一个标准，以允许对植物标本室标本的叶脉特征进行快速，非破坏性，很大程度上自动化的评估。显微放射成像最近被证明是一种很有前途的技术，将用于并优化本研究的目的。数字化的数据将通过在线收集数据库SeSam（包括GBIF-link）向公众提供。此外，脉谱数据将被链接到TRY数据库，该数据库是世界上最大的功能性植物特征库。