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Lábrea, Amazonas, Brazil officially has 64.4% of its public streets lined with trees. However, there is no information available on the qualitative and quantitative aspects of this afforestation. The aim of the study was to inventory the urban afforestation of Lábrea to quantify and qualify the municipal road afforestation. The census of arboreal vegetation on the public roads covered parking lots and areas for pedestrian traffic (sidewalks and curbs) on the streets of the neighborhoods that make up the urban area, being recorded geolocated images of individuals. A total of 507 individuals were counted, distributed in 38 species and 15 botanical families, planting trees in the city’s public streets. The species ficus (Moraceae, Ficus benjamina) and jambeiro (Myrtaceae, Syzygium malaccense) had the highest absolute density. Afforestation is concentrated in the Centro district (50 %). Disregarding the neighborhood, the most tree-lined street was October 22nd. The species are partially of native national origin (19 species, 50 %), of which 63% are Amazonian (12 species). In absolute terms, individuals are mostly of exotic origin (79 %). The individuals are in good structural condition, with type 1 phytosanitary status, located in sidewalks, conflicting or not with the electrical network (413 ind., 81 %) without conflicts with the pavement (402 ind., 79 %), outside the phenological period. Some common problems already reported also occur in the region. The low diversity of species in afforestation may indicate a certain loss in the quality of the urban physical and environmental structure. [ABSTRACT FROM AUTHOR]

There is a lack of studies focusing on the spatial behavior of chemical attributes in the Amazon. In this sense, the objective of this study was to use geostatistical techniques in the evaluation of chemical attributes in agroforestry soil and sugarcane in Humaitá, Amazonas. The study was conducted in a rural property in Humaitá, Amazonas. These areas were established knitwear 70.00 mx 70.00 m, with regular spacing of 10.00 m totaling 64 points and then collected soil samples at a depth of 0.0 to 0.20 and 0.40 to 0.60 m. We determined the chemical attributes (pH, OM, P, K, Ca, Mg, SB, CTC, V% and H + Al). They used descriptive statistics and geostatistics which set individual and scaled semivariogram, and then estimated the sample density based on the achievement of semivariograms. The soil attributes presented spatial dependence structure mostly, predominantly moderate degree of spatial dependence, individual and staggered semivariograms. The sample density and spacing of the stepped semivariogram indicated fewer points and increased spacing to represent the areas of agroforestry and sugarcane. [ABSTRACT FROM AUTHOR]