Abstract
This study aims to evaluate the influence of land use and occupation at diferente scales on the quality of surface water of the Paraguay/Diamantino basin, Mato Grosso State, Brazil. Statistical tests were used to verify if there is a difference between scales at each point. Land use and land occupation analysis was performed using images from the RapidEye satellite. An unsupervised classification of the images was performed, and hree classes of land use were defined: Evergreen Seasonal Forest, Cerrado and Anthropic Uses. Using ArcGIS software, the scales were defined using the multibuffer tool with radius of 50, 500 and 1000 meters in the vicinity of each sample point. The sample collections were of the simple type, on surface in 9 points of the main tributaries of the basin. ANOVA indicated a significant difference of turbidity in the rain and drought periods, which did not occur with the Total Solids. The analysis indicated a negative correlation between total Solids and the Evergreen Seasonal Forest class. They also showed a similarity in relation to Total Solids and Turbidity, being influenced by the spatial distance between the points
Highlights
Tropical forests play an important role to maintain biodiversity, water resources and carbon stocks (MAHMOOD et al, 2014, n.p.; LAWRENCE; VANDECAR, 2015, p. 27)
The objective of this study is to evaluate the influence of land use and land occupation in different scales on the surface water quality of the Paraguay/Diamantino Basin, Mato Grosso State, Brazil
From the classification of the multi-buffers it was possible to observe in the scale of 50 m the predominance of the Evergreen Seasonal Forest (ESF) class in 5 points (1, 2, 7, 8 and 9) followed by the Cerrado class in 4 points (3, 4, 5, 6)
Summary
Tropical forests play an important role to maintain biodiversity, water resources and carbon stocks (MAHMOOD et al, 2014, n.p.; LAWRENCE; VANDECAR, 2015, p. 27). Despite the reduction of deforestation rates in recent years, Mato Grosso State, which encompasses the Pantanal, Cerrado and Amazon biomes, is one of the most affected regions by the consequences of deforestation (FEARNSIDE, 2016, p.34). In this context, the loss of forest cover and the inadequate use of soil and water are among the main actual environmental problems. To understand the ecological processes related to the loss of forest cover, multi-scale analysis is extremely important (GIBSON et al, 2000)
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