BIODIVERSITY IN IBERO AMERICAN COUNTRIES: OVERVIEW ABOUT THE NATURAL AND SOCIAL

Tatiana Almendra Dutra,Marcos Ferreira,Fábia De Mattos Spadoto,Arnoldo Jose De Hoyos Guevara

doi:10.24212/2179-3565.2019v10i1p75-85

Abstract

Authors such as Brown (2009) and Sachs (2010) have been discussing the importance of biodiversity and the need to build a harmonious relationship between social capital, natural and economic. Thus, the aim of this study is to make an analysis of the Ibero-American region (AIBER), in which concentrate the greatest biodiversity on the planet. The 21 countries of the Ibero-American region were grouped using an analysis of variables with high explanatory power by principal component analysis. We conclude that there is an imbalance between the variables, noting a preponderance of the capital to the detriment of natural capita

Highlights

Many authors have discussed the importance of biodiversity for human well-being and the need to work it
These questions have to work with a harmonious relationship between natural capital, social and economic as well
Thinking about it the aim of this paper that it is to analyze the countries of the Ibero-American region (AIBER)

Summary

INTRODUCTION

Many authors have discussed the importance of biodiversity for human well-being and the need to work it. Thinking about it the aim of this paper that it is to analyze the countries of the Ibero-American region (AIBER) These countries concentrate the greatest biodiversity on the planet, namely Natural Capital and Social. Biodiversity - Natural and Social Capital, and verify the degree of relationship between the variables of interest The Ibero-American Millennium Project - RIBER aims to promote prospective studies in Iberoamerica through a community with skills, concepts, methods and prospective practices for analyzing and exchanging information about the different countries of the region; and contribute to the learning collective regional actors to develop skills in prospective, providing references of best practices in the region and the world as a whole. The statistical software used in this study was Minitab and through him the following analyzes were performed: grouping by similarity (Dendrogram), Principal Component Analysis (dimensionality reduction) and One-way ANOVA (analysis of variance)

DATA ANALYSIS

Findings

CONCLUSIONS