Classifying halophytes and halophytic vegetation - an Editorial

IF 0.8 4区 生物学 Q4 ECOLOGY
E. Bergmeier, J. Schaminée
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引用次数: 3

Abstract

As an introduction to the Special Issue "Halophytic vegetation", which includes four research studies and one review article, this Editorial briefly touches on problems, challenges and solution approaches related to the classification of vegetation associated with coastal and inland saline habitats. Three central issues, addressed in this introduction, are: (i) Extreme habitat conditions generate species-poor vegetation. Samples of such vegetation shaped by dominant plants may be difficult to classify at and beyond the level of association. (ii) Halophytic vegetation is phenologically heterogeneous, often with late-flowering and late-fruiting matrix species of the chenopod family. Multiple sampling is recommendable for fieldwork, moreover critical re-assessment of historical saltmarsh plot data, especially if collected early in the year. (iii) Vegetation classification and ecology make use of, and depend on, the results of plant taxonomic and phylogenetic research. Yet in turn, vegetation classification may be supportive of plant taxonomy if cryptic and newly described or circumscribed taxa prove to be ecologically, phytosociologically, phytogeographically or phenologically distinct, and likewise if they are not.
盐生植物与盐生植被的分类
作为《盐生植被》特刊(包括4项研究和1篇综述文章)的导论,本社论简要介绍了与沿海和内陆含盐生境植被分类相关的问题、挑战和解决方法。本导言中讨论的三个中心问题是:(i)极端的生境条件造成物种贫乏的植被。这种由优势植物形成的植被样本可能难以在关联水平上或超越关联水平进行分类。(ii)盐生植被在物候上是异质的,通常是藜科的开花晚、结果晚的基质物种。建议在实地工作中进行多次采样,并且对历史盐沼地块数据进行关键的重新评估,特别是在年初收集的数据。(三)植被分类和生态学利用并依赖于植物分类学和系统发育研究的结果。然而,反过来,如果隐蔽性和新描述的或限定的分类群在生态学、植物社会学、植物地理学或物候学上被证明是不同的,植被分类可能支持植物分类学,同样,如果它们不是。
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
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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