Distribuição espacial de atributos químicos do solo em área de pastagem e floresta

Aquino, Renato Eleotério de; Júnior, José Marques; Campos, Milton César Costa; Oliveira, Ivanildo Amorim de; Siqueira, Diego Silva

doi:10.1590/s1983-40632014000100001

Cited by 12 publications

(13 citation statements)

References 27 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…On the other hand, silt, MA, MI, Ds, and TPV showed a moderate spatial dependence (25-75%). Similar results were found by Silva & Lima (2013) and Aquino et al (2014b), who observed that clay, TS, and Ds are considered as the attributes that have a strong spatial dependence. These authors also observed that silt is considered as an attribute with moderate spatial dependence.…”

Section: Resultssupporting

confidence: 90%

Sampling Density for Characterizing the Physical Quality of a Soil Under Coffee Cultivation in Southwestern Minas Gerais

et al. 2018

Self Cite

View full text Add to dashboard Cite

The elaboration of maps to characterize the spatial variability of soil attributes assists in the strategic planning and decision making of agricultural managers. Precision and accuracy of maps are related to the ideal sampling density to characterize the variability pattern. This study was conducted with the aim of identifying the sampling density to represent the variability of soil physical quality using attributes with different magnitudes of variation in an area cultivated with coffee. Three approaches were used to find the most adequate sampling density (geostatistical analysis, percentage of error associated with the sampling density, and coefficient of variation). A total of 145 soil samples were collected at a depth of 0-0.20 m at the crossing points of a regular grid with a spacing of 50 m. The percentage of clay, silt, and sand, macroporosity, microporosity, total pore volume, and soil density were determined. The data were submitted to descriptive statistical analysis. For elaborating the variability maps with up to 15% error and soil attributes with a coefficient of variation close to 50%, a sampling density of 3 points ha −1 is suggested.

show abstract

Section: Resultssupporting

confidence: 90%

Sampling Density for Characterizing the Physical Quality of a Soil Under Coffee Cultivation in Southwestern Minas Gerais

et al. 2018

Self Cite

View full text Add to dashboard Cite

show abstract

“…Being non-existent chemical attributes studies still in soils under regenerated areas with agroforestry systems. By contrast, it is observed in literature several studies of this variability in soils under sugarcane cropping throughout Brazil (PELUCO et al, 2015;AQUINO et al, 2014;MARQUES JR et al, 2014).…”

Section: Introductionmentioning

confidence: 90%

Chemical soil attributes evaluated by multivariate techniques and geostatistics in the area with agroforestry and sugarcane in Humaitá, AM, Brazil

Aquino¹,

Campos²,

Soares³

et al. 2016

Biosci. J.

Self Cite

View full text Add to dashboard Cite

ABSTRACT:Studies on the spatial behavior of soil attributes in the Amazon region are still very incipient. In this sense, the objective of this work was to evaluate the chemical attributes through multivariate techniques and geoestatistics in the area with agroforestry and sugarcane in Humaitá, AM, Brazil. The study was carried out in a farm in Humaitá city, Amazonas State. The studied area was divided into 70.00 m x 70.00 m meshes with a regular spacing of 10 m, totaling 64 points and then, soil samples were collected at 0.0-0.2 m and 0.4-0.6 m depths. We performed chemical analyses of the attributes of soil. Then, it was applied descriptive statistics, multivariate and geostatistics. In conclusion, our findings suggest that for most of the chemical attributes was observed spatial dependence in both areas, with DSD varying from weak to moderate, with prevalence of the weak one. The multivariate analysis was efficient in the selection of chemical soil attributes that best represented the agroforestry environments and sugarcane. The results of this study will serve as a basis for further studies on these environments and other systems within the region; moreover serving as a basis for agricultural planning aiming a better environmental sustainability.

show abstract

“…Some studies have adopted geostatistical methods (Montanari et al 2012;Silva Júnior et al 2012;Oliveira et al 2013) and multivariate analysis (Freitas et al 2012;Marques Júnior et al 2014) to analyze data on quantify the impacts of soil use and land occupation. Geostatistics has been used to characterize patterns variability for physical (Oliveira et al 2013), chemical (Aquino et al 2014), mineralogical (Bahia et al 2015), and biological attributes of soil (Bahia et al 2014(Bahia et al , 2015. Sample planning is usually defined using semivariogram ranges (Montanari et al 2005(Montanari et al , 2012.…”

Section: Introductionmentioning

confidence: 99%

Impact of Land Use On The Variability of Soil Attributes Within Distinct Amazonian Environments

Aquino¹,

Júnior²,

Campos³

et al. 2021

Preprint

Self Cite

View full text Add to dashboard Cite

Changes in soil attributes caused by the conversion of native forest for agricultural use in the Amazon region is an area of research because of current uncertainties regarding land use and occupation processes. These uncertainties are significant for tropical soils. Understanding changes in soil attributes is vital for developing strategies to mitigate greenhouse gas emissions in the Amazon region. The objective of this study was to investigate the impact of land use on soil attribute variability occurring in distinctly Amazonian environments. This study was conducted using five meshes in Southern Amazonas: Forest 1, cassava, sugarcane, Forest 2, and Archeological Dark Earth (ADE). Descriptive statistical, geostatistical, and multivariate analyses were performed on data obtained from local measurements of CO2 emissions and data obtained from physical and chemical analysis of soil layers up to a depth of 20 cm. Most physical, chemical, and biological attributes of the soil were related to land use classifications. The similarity between cultivated and forested areas yielded no evidence of land degradation resulting from land use. Increasing certain physical attributes total porosity (PT), soil moisture (SM), and Macroporosity (Macro) yielded a greater increase in the CO2 efflux for ADE and Amazon forest environments than for cultivated regions.

show abstract

Distribuição espacial de atributos químicos do solo em área de pastagem e floresta

Cited by 12 publications

References 27 publications

Sampling Density for Characterizing the Physical Quality of a Soil Under Coffee Cultivation in Southwestern Minas Gerais

Sampling Density for Characterizing the Physical Quality of a Soil Under Coffee Cultivation in Southwestern Minas Gerais

Chemical soil attributes evaluated by multivariate techniques and geostatistics in the area with agroforestry and sugarcane in Humaitá, AM, Brazil

Impact of Land Use On The Variability of Soil Attributes Within Distinct Amazonian Environments

Contact Info

Product

Resources

About