Formalised classifi cation of the annual herb vegetation of wetlands (Isoëto Nano - Juncetea class) in the Czech Republic and Slovakia (Central Europe)

IF 0.8 4区生物学 Q4 ECOLOGY

Phytocoenologia Pub Date : 2013-06-01 DOI:10.1127/0340-269X/2013/0043-0529

Kateřina Šumberová, R. Hrivnák

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引用次数: 29

Abstract

Vegetation of ephemeral wetlands (class Isoëto-Nano-Juncetea) was studied in the Czech Republic and Slovakia using a formalised classifi cation approach. We analysed a set of phytosociological relevés recorded in the study region comprising 17583 relevés of wetlands and some types of ruderal vegetation. Formal defi nitions of particular associations were completed using a dataset of 1580 relevés, originally assigned by their authors into the Isoëto-Nano-Juncetea class. 770 of these relevés were classifi ed into one of the three alliances (Verbenion supinae, Eleocharition ovatae and Radiolion linoidis) and nine associations: Ranunculetum lateriflori (south-eastern Slovakia), Cerastio-Ranunculetum sardoi (mainly southern Slovakia and southern Moravia), Veronico anagalloidis-Lythretum hyssopifoliae (southern Moravia), Pulicario vulgaris-Menthetum pulegioidis (southern parts of both republics, especially in Slovakia), Polygono-Eleocharitetum ovatae (mainly southern Bohemia and the Bohemian-Moravian Uplands in the Czech Republic), Cyperetum micheliani (both republics), Stellario uliginosae-Isolepidetum setaceae (mainly in southern Bohemia and Bohemian-Moravian Uplands in the Czech Republic, less frequently in Slovakia), Centunculo-Anthoceretum punctati (only two relevés in both republics) and Junco tenageiae-Radioletum linoidis (southern Bohemia in the Czech Republic, Borská lowland in western and Orava region in northern Slovakia). The main environmental gradient of the studied vegetation expressed by Ellenberg indicator values (EIV) is moisture (Spearman correlation coeffi cient with the fi rst DCA axes -0.666, p < 0.001), followed by light (-0.656, p < 0.001). Comparison of clusters based on EIV showed signifi cant differences in several cases, mainly: 1) the signifi cantly lowest EIV for temperature was detected for Stellario uliginosae-Isolepidetum setaceae and Junco tenageiae-Radioletum linoidis; 2) Polygono-Eleocharitetum ovatae had the highest EIV for moisture; and 3) Junco tenageiae-Radioletum linoidis had the lowest EIV for nutrients. Our study is one of the fi rst attempts at formal classifi cation of Isoëto-Nano-Juncetea vegetation in a relatively large area and to compare the ecology of the communities defi ned by this approach.

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捷克共和国和斯洛伐克(中欧)湿地一年生草本植被的正式分类(Isoëto Nano - Juncetea类)

本文采用形式化的分类方法对捷克共和国和斯洛伐克的短期湿地植被(Isoëto-Nano-Juncetea类)进行了研究。我们分析了一组在研究区记录的植物社会学相关数据，其中包括17583个湿地和某些类型的原始植被的相关数据。使用1580个相关的数据集完成了特定关联的正式定义，这些数据集最初由其作者指定为Isoëto-Nano-Juncetea类。其中770名相关人员被归类为三个联盟(Verbenion supinae、Eleocharition ovatae和Radiolion linoidis)之一和九个协会:红毛茛(斯洛伐克东南部)，cerasio -Ranunculetum sardoi(主要是斯洛伐克南部和摩拉维亚南部)，Veronico anagalloidae - lythretum hyssopifoliae(摩拉维亚南部)，Pulicario vulgaris-Menthetum pulegioidis(两个共和国南部，特别是斯洛伐克)，polygono - eleocharittum ovatae(主要是捷克共和国的波西米亚南部和波西米亚-摩拉维亚高地)，Cyperetum micheliani(两个共和国)，Stellario uliginosa - isoleptum setaceae(主要分布在捷克共和国的波西米亚南部和波西米亚-摩拉维亚高地，在斯洛伐克较少见)，centuncul - anthoceretum punctati(在两个共和国只有两个相关的)和Junco tenageiae- radioltum linoidis(捷克共和国的波西米亚南部，西部borsk低地和斯洛伐克北部的Orava地区)。植被的主要环境梯度由Ellenberg指数值(EIV)表示，湿度(与前DCA轴的Spearman相关系数为-0.666,p < 0.001)，其次是光照(-0.656,p < 0.001)。基于EIV的聚类比较结果显示，不同聚类间存在显著性差异，主要表现在:1)木犀星-异叶草科和锦桐-亚麻酸根的EIV值显著最低;2)卵形蓼(Polygono-Eleocharitetum ovatae)水分EIV最高;3)锦葵-亚麻酸盐对营养物质的EIV最低。我们的研究是在相对较大的区域内对Isoëto-Nano-Juncetea植被进行正式分类的首次尝试之一，并比较了这种方法所定义的群落的生态。

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.