植被定量研究中的相似性、分类与多样性“一条永恒的金辫”

Q4 Agricultural and Biological Sciences

Flora Mediterranea Pub Date : 2021-01-01 DOI:10.7320/flmedit31si.023

E. Feoli, P. Ganis

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引用次数: 1

摘要

Feoli, E. & Ganis, P.:定量植被研究中的相似性、分类和多样性“永恒的金辫”。- Fl. Medit. 31(特刊):23-41。2021. - ISSN:印刷版1120-4052，在线版2240-4538。在一个概念框架内讨论了相似性-不相似性矩阵的作用，表明相似性、分类和多样性在植被研究中的紧密联系。通过考虑两个关于意大利半岛山毛榉森林的数据集，给出了应用相似矩阵(E())特征值的均匀性来定义类别、测量生物群落与环境因子之间的相关性以及测量作为参数的植被系统多样性的例子，公式为k舍不得，其中k是类别的数目，公式为E(舍不得)。

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Similarity, classification and diversity “an Eternal Golden Braid” in quantitative vegetation studies

Feoli, E. & Ganis, P.: Similarity, classification and diversity “an Eternal Golden Braid” in quantitative vegetation studies. — Fl. Medit. 31 (Special Issue): 23-41. 2021. — ISSN: 1120-4052 printed, 2240-4538 online. The role of similarity-dissimilarity matrices is discussed within a conceptual framework that shows the strict connections between similarity, classification and diversity in vegetation studies. Examples of application of the evenness of the eigenvalues of similarity matrices (E()) to define classes, to measure correlation between biological communities and environmental factors and to measure diversity of vegetation systems as a parameter , by the formula k, where k is the number of classes and   E(), are given by considering two data sets regarding beech forests of the Italian peninsula.

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来源期刊

Flora Mediterranea Agricultural and Biological Sciences-Plant Science

CiteScore

1.20

自引率

0.00%

发文量