Multivariate methods applied to forest ecology in dry forest

IF 4.1 4区 医学 Q1 Medicine
Jefferson Javier Castro-Villares, Carlos A. Salas-Macías, Karime Montes-Escobar
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引用次数: 0

Abstract

Ecology studies the relationships between living beings, environment, distribution, and abundance, and how these properties are affected by the interaction between organisms and the environment in which they live (habitat), as well as the influence each living being has on the environment. Statistical methods are fundamental for the treatment of data and dissemination of information. The research focuses on exposing the multivariate techniques applied to analyze the relationships between tree species and the physical-chemical characteristics of the soil. The methodology consisted of reviewing articles related to keywords such as: "dry forest," "multivariate statistics," and "ecology." Among the relevant results, the canonical correspondence analysis, factor analysis, and dendrograms stand out.
多元方法在干旱林森林生态研究中的应用
生态学研究生物、环境、分布和丰度之间的关系,以及这些特性如何受到生物和它们生活的环境(栖息地)之间的相互作用的影响,以及每个生物对环境的影响。统计方法是处理数据和传播信息的基础。研究的重点是揭示用于分析树种与土壤理化特征之间关系的多变量技术。该方法包括审查与“干燥森林”、“多元统计”和“生态学”等关键词相关的文章。在相关结果中,典型对应分析、因子分析和树形图最为突出。
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
Minerva endocrinologica
Minerva endocrinologica ENDOCRINOLOGY & METABOLISM-
CiteScore
4.20
自引率
12.20%
发文量
0
审稿时长
>12 weeks
期刊介绍: Minerva Endocrinologica publishes scientific papers on endocrine system diseases. Manuscripts may be submitted in the form of editorials, original articles, review articles, special articles, letters to the Editor and guidelines. The journal aims to provide its readers with papers of the highest quality and impact through a process of careful peer review and editorial work.
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