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Plant Diversity ›› 2012, Vol. 34 ›› Issue (6): 562-584.DOI: 10.3724/SP.J.1143.2012.12145

• 研究论文 • 上一篇    下一篇

iFlora与植物志修订的若干思考——以杜鹃花科白珠树属为例

 陆露1、2, 王红1、2, 李德铢1、2   

  1. 1 中国科学院昆明植物研究所生物多样性与生物地理学重点实验室,云南 昆明650201;
    2 中国科学院昆明植物研究所中国西南野生生物种质资源库, 云南 昆明650201
  • 收稿日期:2012-11-05 出版日期:2012-12-25 发布日期:2012-11-07
  • 基金资助:

    国家科技部科技基础工作专项项目;国家高科技研究发展计划 (863计划) (2012AA021801);中国科学院大科学装置开放研究项目 (2009-LSFGBOWS-01)

Some Considerations on Data Integration for the Next-Generation Flora (iFlora) and Flora Revision—— A Case Study of Gaultheria (Ericaceae)

 LU  Lu-1、2, WANG  Hong-1、2, LI  De-Zhu-1、2   

  1. 1 Key Laboratory of Biodiversity and Biogeography, Kunming Institute of Botany, Chinese Academy of Sciences,
    Kunming 650201, China; 2 Germplasm Bank of Wild Species, Kunming Institute of Botany,
    Chinese Academy of Sciences, Kunming 650201, China
  • Received:2012-11-05 Online:2012-12-25 Published:2012-11-07

摘要:

结合现代植物学、DNA测序与信息等关键技术而产生的新一代智能植物志(iFlora),其研发中最首要和迫切的任务之一就是如何将前沿、准确和完善的植物数据信息进行特色整合及智能化处理,为用户提供一个客观而科学的,具理论和实际应用为一体的植物学知识共享平台,并有效地为国民经济发展提供有价值的植物资源信息渠道。本文简要介绍了与传统植物志和目前常用的电子植物志数据库相区别的iFlora数据信息的分级内容、特点和功能,并强调了作为iFlora的核心数据信息,即用于物种鉴定的植物DNA条形码、关键形态学分类特征、植物图像等识别数据,以及分子系统发育数据等。以杜鹃花科(Ericaceae)白珠树属(Gaultheria)和其属下红粉白珠(G.hookeri)为例,介绍了iFlora采用的三类数据(核心数据、基础数据和拓展数据)构成的三级信息及其功能,同时探讨了信息整合时可能遇到的问题。

关键词: 新一代植物志, 在线植物志, 植物数据库, 数据信息, 植物志修订, 白珠树属

Abstract:

The next-generation intelligent Flora (iFlora) is designed to integrate current botanical knowledge, with molecular biology information and computer technology. The most important and urgent task for iFlora development is to search for an approach to incorporate all useful data into an accurate, most up-to-date and complete information database for a taxon, and hierarchically classify these data to meet different demands from iFlora users, to provide the user an authentic, scientific researchbased platform for sharing botanic knowledge, and associated valuable information for the benefit of national economy and quality of our life. In this study, we summarized the innovations, hierarchical classifications and functions of data for iFlora, in contrast of that of the previous Floras and the frequentlyused digital plant databases or eFloras. The innovation and essential of data compilation and integration of the iFlora was emphasized as intelligent assembly of data from DNA barcodes, key morphological characters, digital images and molecular phylogenetics with the support of computer techniques to achieve intelligent plant identification. We attempted to integrate previously assembled research data into the iFlora, and list three hierarchically classified data and their functions, and related issues, with the genus Gaultheria and one of its species, G.hookeri, as test case.

Key words: iFlora, Online flora, Plant database, Digital data, Flora revision, Gaultheria

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