Multivariate statistic applied to the study of the landscape ecology in the Atlantic Forest

Resumen

Landscape ecology studies assisting planning and spatial planning, so it is important planning and spatial planning, so it is important to know the behavior of the Atlantic Forest under the effects of rural and urban use, especially in fragments existing in a small municipality. When associated with multivariate statistics analyses, these data and information enable the diagnosis of the status quo of vegetation fragments. The research aimed to analyze the ecology of the Atlantic Forest landscape, in a small municipality, applying multivariate statistical techniques. The photo interpretation and calculation of the measurements of the passage were performed, and in the second moment, the proximity matrix was calculated, and finally, the cluster analysis was performed. The results allowed separating the Atlantic Forest fragments observed in four clusters with characteristics of ordinary size, in addition to significant internal similarity and great external dissimilarity concerning the ecology parameters of the analyzed landscape. Conclude that applying the cluster analysis technique will assist better management of the preservation and conservation of forest fragments, providing public policies and better management of areas, directing actions to the most threatened fragments.