中国蚌科物种数据库的特点及应用
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摘要
近年来,随着计算机及网络技术的飞速发展,大数据及网络数据库技术的发展呈加速趋势,并在越来越多的领域中获得了成功的应用。本文主要分析了中国蚌科物种数据库的特点及其应用。数据主要来源于本实验室多年来对长江中下游大量淡水蚌类的调查数据、标本及一些重要的国内外文献资料。该数据库最终可收录中国蚌科120余种,包括国家重点保护物种、中国特有属种及部分具有重要经济价值、科研价值的珍稀物种。根据中文名、拉丁名及特定地理范畴(产地、模式标本所在地)等查询条件,可使用户快速获取所需的信息及相关资料。
In recent years, with the rapid development of computer and internet technology, the development of big data and internet database technology showed anaccelerating trend, which have attained successfulapplications in the more and more fields.This paper mainly analyzes the characteristics and application of Chinese Uninoida species database.The data is mainly derived from the study dataand specimen of freshwater mussels in the middle and lower reaches of the Yangtze River and some importantdomestic and foreign literatures.The database includes more than 120 species of Chinese Uninoida species, which includewildlife under national priority protection, unique Chinese species and rare species with important economic and scientific research value.According to Chinese names, Latin names and specific geographical areas(where the origin and typical specimen are located), users can quickly obtain the information they need.
In recent years, with the rapid development of computer and internet technology, the development of big data and internet database technology showed anaccelerating trend, which have attained successfulapplications in the more and more fields.This paper mainly analyzes the characteristics and application of Chinese Uninoida species database.The data is mainly derived from the study dataand specimen of freshwater mussels in the middle and lower reaches of the Yangtze River and some importantdomestic and foreign literatures.The database includes more than 120 species of Chinese Uninoida species, which includewildlife under national priority protection, unique Chinese species and rare species with important economic and scientific research value.According to Chinese names, Latin names and specific geographical areas(where the origin and typical specimen are located), users can quickly obtain the information they need.
引文
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[18]Graf D L,Cummings K S.The freshwater mussels(Unionoida)of the world[OL].http://www.mussel-project.net,2013-10-09.
[2]Bogan A E.Global diversity of freshwater mussels(Mollusca,Bivalvia)in freshwater[M].Springer Netherlands,2008:139-147.
[3]Haag W R.North American freshwater mussels:natural history,ecology,and conservation[M].Cambridge University Press,2012.
[4]Vaughn C.C.Ecosystem services provided by freshwater mussels[J].Hydrobiologia,2017,1–13.
[5]Graf D L.Patterns of Freshwater Bivalve Global Diversity and the State of Phylogenetic Studies on the Unionoida,Sphaeriidae,and Cyrenidae[J].American Malacological Bulletin,2013,31(1):135-153.
[6]吴小平,梁彦龄.长江中下游湖泊淡水贝类的分布及物种多样性[J].湖泊科学,2000,12(2):111-118.
[7]胡自强.中国淡水双壳类特有种的地理分布[J].动物学杂志,2005,40(6):80-83.
[8]张玺,李世成.鄱阳湖及其周围水域的双壳类包括一新种[J].动物学报(Current Zoology),1965(3):82-92.
[9]刘月英,张文珍,王耀先,等.我国蚌科一新纪录[J].Zoological Systematics(动物分类学报(英文)),1992(02):150-150.
[10]林振涛,刘月英.白洋淀的蚌类[J].动物学报(Current Zoology),1963(2):76-87.
[11]刘月英等.中国经济动物志:淡水软体动物[J].北京:科学出版社,1979.
[12]陈建,李枢强.中国蜘蛛目数据库及其服务系统的建立[J].蛛形学报,1996(02):127-131.
[13]宋延龄,杨亲二,黄永青.物种多样性信息系统的研究与初步建立[J].物种多样性研究与保护,杭州.浙江科学技术出版社,1998.161~167
[14]王献溥.建立生物多样性保护信息系统的意义和途径[J].植物资源与环境,1996,5(1):48~53
[15]朱建国,何远辉,季维智.物种保护信息管理系统的开发应用[J].生物多样性,1994,2(2):82~87.
[16]国家环境保护局.中国生物多样性国情研究报告[M]北京:中国环境科学出版社,1998.
[17]孙学刚,杨龙,孙翠青.甘肃省稀有濒危植物数据库及其信息管理系统研制[J].甘肃农大学报,2003,38(4):471-477.
[18]Graf D L,Cummings K S.The freshwater mussels(Unionoida)of the world[OL].http://www.mussel-project.net,2013-10-09.