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SPATIO-TEMPORAL ANALYSIS OF LANDSCAPE PATTERNS IN THE CATOLÉ WATERSHED, NORTHERN MINAS GERAIS1

Authors :
Rodrigo Nogueira Martins
Selma Alves Abrahão
Danilo Pereira Ribeiro
Ana Paula Ferreira Colares
Marco Antonio Zanella
Source :
Revista Árvore, Vol 42, Iss 4 (2018)
Publication Year :
2018
Publisher :
Sociedade de Investigações Florestais, 2018.

Abstract

ABSTRACT The aim of this study was to quantify the spatio-temporal changes in land use/ cover (LULC), as well as analyze landscape patterns over a 20-year period (1995 - 2015) in the Catolé watershed, northern Minas Gerais State, using landscape metrics. The LULC maps were obtained using Landsat 5 and 8 data (Processing level 1) through supervised classification using the maximum likelihood classifier. Seven thematic classes were identified: dense vegetation, sparse vegetation, riparian vegetation, cropland, planted forest, bare soil, and water. From the LULC maps, classes related to the natural landscape (dense, sparse, and riparian vegetation) were grouped into forest patches, which was then ordered by size: very small (< 5 ha); small (5 - 10 ha); medium (10 - 100 ha); large (100 ha); and a general class (no distinction of patch size). Then, metrics of area, size and density, edge, shape, proximity and core area were calculated. The dense vegetation portion of the study area decreased considerably within a given time, while the portion of cropland and bare soil increased. Overall, in the Catolé river basin, the total area of natural vegetation decreased by 3,273 hectares (4.62%). Landscape metrics analysis exhibited a reduction in the number of very small patches, although the study area was still considered as fragmented. Moreover, a maximum edge distance of 50 m is suggested for conducting studies involving core area metrics in the Catolé watershed, as values above this distance would eliminate the very small patches.

Details

Language :
English, Spanish; Castilian, Portuguese
ISSN :
18069088
Volume :
42
Issue :
4
Database :
Directory of Open Access Journals
Journal :
Revista Árvore
Publication Type :
Academic Journal
Accession number :
edsdoj.3637cfd81e1048288407c261e7abf0e3
Document Type :
article
Full Text :
https://doi.org/10.1590/1806-90882018000400007