欧洲水生和湿地植被数据库

IF 0.8 4区 生物学 Q4 ECOLOGY Phytocoenologia Pub Date : 2015-01-07 DOI:10.1127/PHYTO/2015/0050
F. Landucci, M. Řezníčková, Kateřina Šumberová, S. Hennekens, J. Schaminée
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引用次数: 17

摘要

wetvegeerope是一个研究项目(http://www.sci.muni.cz/botany/vegsci/wetveg),其目标是在植物社会学协会的水平上为整个欧洲的水生和沼泽植被提供一个综合的正式分类。为了实现该项目的目标,已经建立了一个欧洲湿地数据库(GIVD ID: EU-00-020, http://w-ww.givd.info/ID/EU-00-020),目前包含来自33个欧洲国家的375,212个水生、沼泽和湿植被类型的植被样地。欧洲湿地数据库包括来自已有的国家和专题数据库的数据集,以及以前未数字化或甚至未发表的10616个地块。该数据库为今后在欧洲范围内对水生和沼泽植物物种和植被类型的研究提供了广泛的数据来源。
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WetVegEurope: a database of aquatic and wetland vegetation of Europe
WetVegEurope is a research project (http://www.sci.muni.cz/botany/vegsci/wetveg) whose goal is to provide a synthesized formalized classification of the aquatic and marsh vegetation across Europe at the level of phytosociological associations. In order to achieve the project objective, a WetVegEurope database has been created (GIVD ID: EU-00-020, http://w-ww.givd.info/ID/EU-00-020), which currently contains 375,212 vegetation plots of aquatic, marsh and wet vegetation types from 33 European countries. The WetVegEurope database includes datasets from pre-existing national and thematic databases and also 10,616 plots previously not digitalized or even unpublished. This database offers an extensive source of data for future studies on aquatic and marsh plant species and vegetation types at the European scale.
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来源期刊
Phytocoenologia
Phytocoenologia 生物-植物科学
CiteScore
2.60
自引率
0.00%
发文量
7
审稿时长
>12 weeks
期刊介绍: Phytocoenologia is an international, peer-reviewed journal of plant community ecology. It is devoted to vegetation survey and classification at any organizational and spatial scale and without restriction to certain methodological approaches. The journal publishes original papers that develop new vegetation typologies as well as applied studies that use such typologies, for example, in vegetation mapping, ecosystem modelling, nature conservation, land use management or monitoring. Particularly encouraged are methodological studies that design and compare tools for vegetation classification and mapping, such as algorithms, databases and nomenclatural principles. Papers dealing with conceptual and theoretical bases of vegetation survey and classification are also welcome. While large-scale studies are preferred, regional studies will be considered when filling important knowledge gaps or presenting new methods.
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