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Titlebook: Numerical syntaxonomy; L. Mucina,M. B. Dale Book 1989 Kluwer Academic Publishers 1989 Ordination.classification.forest.taxonomy.vegetation

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發(fā)表于 2025-3-21 17:30:44 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Numerical syntaxonomy
編輯L. Mucina,M. B. Dale
視頻videohttp://file.papertrans.cn/670/669263/669263.mp4
叢書名稱Advances in Vegetation Science
圖書封面Titlebook: Numerical syntaxonomy;  L. Mucina,M. B. Dale Book 1989 Kluwer Academic Publishers 1989 Ordination.classification.forest.taxonomy.vegetation
出版日期Book 1989
關(guān)鍵詞Ordination; classification; forest; taxonomy; vegetation
版次1
doihttps://doi.org/10.1007/978-94-009-2432-1
isbn_ebook978-94-009-2432-1
copyrightKluwer Academic Publishers 1989
The information of publication is updating

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沙發(fā)
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板凳
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地板
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Numerical syntaxonomy of the tall-forb and tall-grass communities in the Tatra Mountains,te Linkage Clustering. The communities are classified into 3 alliances: . and .. It was concluded that the orders . and . should be fused into one unit. Synecological relations of the communities was clarified using a series of Detrended Correspondence Analyses.
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Kluwer Academic Publishers 1989
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發(fā)表于 2025-3-22 17:18:16 | 只看該作者
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Influences of the individualistic concept of vegetation on syntaxonomy, The principles of the individualistic concept, but not the above conclusions arising from them, are compatible with the integrated concept. Phytocoenoses limit the individualistic performance of species through restriction of ecological amplitudes and shifting of ecological optima (as compared with
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發(fā)表于 2025-3-23 05:22:59 | 只看該作者
On the use of grammars in vegetation analysis,mining the grammars further leads to some suggestions concerning the features of them which are important for ecological interpretation. It further leads to a novel view of the nature of groups in classification.
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發(fā)表于 2025-3-23 07:45:09 | 只看該作者
A new numerical solution to traditional phytosociological tabular classification, intuitively widely accepted manual refinements in structure and presentation. A test with plant sociological data from Swiss forests (Ellenberg & Kl?tzli 1972) proves that the method can also classify complex gradient- and group systems and that the numerical result matches Landolt’s (1977) system
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