Physical and geospatial attributes of inceptisols and ultisols under native vegetation in Humaitá, AM, Brazil

Alho, Leandro Coutinho; Campos, Milton César Costa; Mantovanelli, Bruno Campos; Silva, Douglas Marcelo Pinheiro; Souza, Zigomar Menezes de; Cunha, José Maurício da; Soares, Marcelo Dayron Rodrigues

doi:10.14393/bj-v32n2a2016-32656

Cited by 7 publications

(8 citation statements)

References 20 publications

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“…The OC observed in the pasture at the two studied depths presented low variability, while the variability was mild in the areas with coffee and cocoa. The decrease of ρ b , MWD and OC in pasture was also observed in Alho et al (2016) articles. Campos et al (2013b) reported low variability for aggregates > 2.00 mm in Red Argisol, while Aquino et al (2015) found low and medium variability for aggregates < 2.00 mm when the depth increased.…”

Section: Resultsmentioning

confidence: 59%

“…Thus, the use of geostatistics becomes an extremely viable practice due to its low cost and high representativeness of local conditions. Despite its applicability, few studies using geostatistics were carried out in the Amazonian soils, where some of them can be highlighted like the Campos et al (2011), Aquino et al (2014a), Oliveira et al (2015), and Alho et al (2016). Thus, there is a need to characterize the soil and its use in the Amazon region.…”

Section: Introductionmentioning

confidence: 99%

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Spatial variability of aggregates and organic carbon under three different uses of indian black earth in southern Amazonas

Gomes¹,

Campos²,

Soares³

et al. 2017

Biosci. J.

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Indian Black Earths (IBEs) are distributed throughout the Amazon. They are characterized by their high chemical fertility and agricultural potential. IBEs have high organic carbon, favouring the improvement of soil structure. This work aimed to evaluate the aggregates and organic carbon (OC) spatial variability in different IBEs in southern Amazonas. We evaluated the organic carbon spatial variability, mean weight diameter (MWD), soil bulk density (ρ b ) and aggregate classes under three uses of soil: pasture, cocoa, and coffee. We collected 528 soil samples in a point grid according to its use at two depths: 0.0-0.05 m and 0.10-0.20 m. Results were subjected to variance, descriptive, and geostatistical analyses. We concluded that the soil use influenced the IBEs physical attributes soil behavior, concentrating the higher values of CO, aggregates > 2.00 mm, and MWD at 0.0-0.05 m in relation to ρ b and aggregates < 2.00 mm where the higher values were the ones at 0.10-0.20 m. Aggregates < 2.00 mm (0.10-0.20 m) and OC (0.0-0.05 m) did not show spatial dependence, while the class of aggregates > 2.00 mm was the only attribute which represented to be a natural characteristic of the soil, with a strong spatial dependence, independently the land use and depth. There was no spatial relationship between the attributes studied and the geomorphic diversity.

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Section: Resultsmentioning

confidence: 59%

Section: Introductionmentioning

confidence: 99%

Spatial variability of aggregates and organic carbon under three different uses of indian black earth in southern Amazonas

Gomes¹,

Campos²,

Soares³

et al. 2017

Biosci. J.

Self Cite

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“…Studies highlight that asymmetry and kurtosis are indicators of data distribution; however, they are more sensitive to extreme values than the mean and median, and such values close to zero indicate greater normality of the data (Kamimura et al, 2013;Alho et al, 2016), with symmetrical values or not, the ideal is that these values are close to the central zero value (Cortez et al, 2011). For kurtosis, values of -0.03 to 1.92 were observed; these values should preferably be null, however values between -2 to +2 are acceptable (Negreiros Neto et al, 2014).…”

Section: Discussionmentioning

confidence: 99%

Spatial variability of soil erodibility in pastures and forest areas in the municipality of Porto Velho, Rondônia

Silva¹,

Campos²,

Brito³

et al. 2021

Rev. ambiente água

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“Erodibility” is a characteristic of the soil that represents the susceptibility with which its particles from the most superficial layer are taken and transported to lower places by erosive agents, causing environmental and economic damages. This work estimated soil erodibility in pastures and forest areas in the municipality of Porto Velho-Rondônia. In the field, three areas with different types of vegetation were selected, one with brachiaria, another with mombaça grass, and a third in native forest. In areas with pastures, a sampling mesh of equal sizes was outlined (90 m x 60 m), and in the forested area an approximate sampling mesh (90 m x 50 m), with a regular spacing of 10 m between the samples points for both areas. The sampling was done at the crossing points of the mesh at a depth of 0.0-0.2 m, composing 70 sample points in the areas with pastures and 60 sample points in the forest area, totaling 200 samples. Then, laboratory analyzes were carried out to determine the texture followed by the fractionation of the sand, and the organic carbon followed by the estimate of the organic matter of the soil. The erodibility factors were calculated using indirect prediction models, and then, univariate, geostatistical and multivariate techniques were applied. The pastures’ environments differed from the forest environment. However, the mombaça grass area functions as an intermediate environment between the forest and the brachiaria, being closer to the forest environment. Keywords: erodibility, factors, kriging, principal components.

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“…According to Lima et al (2006), this behavior can be attributed to the recent sedimentary nature, since the soils of these environments are closely related to the source material, quantity of sediments from the Andean and sub-Andean regions, transported by the rivers and deposited in the alluvial plain. Campos et al (2012b); Campos et al (2013); Alho et al (2014) and Alho et al (2016) studying floodplain / dry land environments and natural field / forest transitions also found high levels of silt in these environments, thus indicating the sedimentary nature of these soils, what commonly occur in these environments.…”

Section: Physical Attributesmentioning

confidence: 91%

“…According to Samouëlian & Cornu (2008), the soil-landscape relations allow the analysis of these factors together, favoring a better geomorphic and landscape evolution processes understanding. Studies developed by Martins et al (2006); Campos et al (2012a); Alho et al (2014) and Alho et al (2016) in native field environments "Campos de Puciari -Humaitá" in transition with forests, allow a general understanding of landscape variations in soil classes and the direct influence on physical and chemical attributes, as well as how the landscape associated with water movement, condition the soils in different classes, thus justifying the great variability found in these environments and in the Amazonian region. Another important physiographic environment found is the floodplain / dry land transitions, the floodplain are the areas that border the "muddy water" rivers, rich in suspended material and subject to seasonal flooding; while the dry land areas do not suffer flooding and are formed by tertiary sediments (CAMPOS et al, 2012b).…”

Section: Introductionmentioning

confidence: 99%

Physical and chemical properties of soils in different physiographic environments in the southern Amazonas region

et al. 2019

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The Amazon region has a great diversity of landscapes such as forests galleries, natural fields ("Cerrados Amazônicos"), dense forest, these environments made possible the formation of a broad class of soils over time. The aim of this study was to evaluate the physical and chemical properties of soils in different physiographic environments in southern Amazonas, Brazil. Three areas of representative physiographies were selected, all of them in natural conditions: natural field / forest and floodplain / dry land transitions, and corrugated relief areas. Soil samples were collected in layers of 0.0 to 0.20 and 0.80-1.0 m. From the samples collected the following physical analyzes were performed: particle size, bulk density, particle density, total porosity and saturated hydraulic conductivity; and chemical: exchangeable calcium, magnesium, aluminum and potassium available, phosphorus, potential acidity, pH and organic carbon. Based on the results of chemical analysis were calculated the sum of bases and base saturation. The results were submitted to multivariate statistics analysis, at the discretion of the principal component analysis (PCA). From the results it is clear that different physiographic environments studied influence the formation of different soil classes, featuring the diversity of Amazonian soils. The PCA allowed the distinction and formation of different similarity groups, thus enabling to relate the physical and chemical properties with the physiographic formation in which they are inserted.

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Physical and geospatial attributes of inceptisols and ultisols under native vegetation in Humaitá, AM, Brazil

Cited by 7 publications

References 20 publications

Spatial variability of aggregates and organic carbon under three different uses of indian black earth in southern Amazonas

Spatial variability of aggregates and organic carbon under three different uses of indian black earth in southern Amazonas

Spatial variability of soil erodibility in pastures and forest areas in the municipality of Porto Velho, Rondônia

Physical and chemical properties of soils in different physiographic environments in the southern Amazonas region

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