Wetland vegetation of the class Phragmito-Magno-Caricetea in centralItaly

IF 0.8 4区生物学 Q4 ECOLOGY

Phytocoenologia Pub Date : 2013-06-01 DOI:10.1127/0340-269X/2013/0043-0545

F. Landucci, Czech Republic, D. Gigante, R. Venanzoni, M. Chytrý

引用次数: 50

Abstract

A survey and a formalized phytosociological classification of the marsh vegetation of the class Phragmito-Magno-Caricetea in central Italy is presented. Formal definitions of the majority of wetland associations recorded from the Italian territory were defined using the Cocktail method and applied to a large data set of vegetation plots extracted from the database VegItaly (hosted by the web database system "anArchive"). A total of 43 associations belonging to seven alliances and four orders were recognized. Detrended correspondence analysis (DCA), species indicator values and altitude were used to visualize ecological differences between the associations. Altitude, nutrient status and soil reaction were identified as the main environmental gradients responsible for diversification and distribution of the Phragmito-Magno-Caricetea communities in central Italy.

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意大利中部的芦苇- magno - caricetea类湿地植被

本文介绍了意大利中部沼泽植物Phragmito-Magno-Caricetea类的调查和正式的植物社会学分类。使用Cocktail方法定义了意大利境内记录的大多数湿地关联的正式定义，并将其应用于从数据库VegItaly(由网络数据库系统“anArchive”托管)中提取的植被图的大型数据集。共承认了隶属于7个联盟和4个教团的43个协会。采用非趋势对应分析(DCA)、物种指标值和海拔高度对群落间的生态差异进行可视化分析。海拔、养分状况和土壤反应是影响意大利中部Phragmito-Magno-Caricetea群落多样化和分布的主要环境梯度。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Phytocoenologia 生物-植物科学

CiteScore

2.60

自引率

0.00%

发文量

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.