• en
  • pt-br

All publications of “Adriano Ribeiro Guerra”

3 results

Field Perception of the Boundary Between Soil and Saprolite by Pedologists and its Differentiation Using Mathematical Models

Roseclênia Alves Santos ORCID logo , Renata Alcarde Sermarini ORCID logo , Adriano Ribeiro Guerra, Jean Cheyson Barros dos Santos, Antonio Carlos de Azevedo ORCID logo

19/Jun/2019

ABSTRACT Saprolite plays a central role into hydrologic and nutrient cycles. Despite that, saprolite research is scattered and uses heterogeneous, sometimes conflicting, methods and concepts. During field work, it is difficult to assign the boundary between soil and saprolite. This paper aimed to identify the subjacent logic that pedologists use to assign to a regolith volume its soil or saprolite nature. To achieve this goal, a tree algorithm was used to build a hierarchy of physical and chemical properties of […]

Visual Abstract

Modeling Bulk Density of Subsoil under Native Vegetation in Minas Gerais, Brazil

Eduane José de Pádua, Adriano Ribeiro Guerra, Yuri Lopes Zinn

01/May/2015

Bulk density (ρb) is an important indicator of soil physical quality, but it is seldom assessed at greater depths due to sampling difficulties. Pedotransfer functions have been relatively successful in estimating ρb, but specific functions for most Brazilian biomes are not available. The aim of this study was to develop mathematical functions to describe ρb to a depth of 1 m in areas of native vegetation in central and southern Minas Gerais, Brazil. For determination of ρb, soil core samples […]

Soil organic carbon profiles in the South and Southern Espinhaço Mountain Regions, Minas Gerais: modelling of deeper layers

Yuri Lopes Zinn, Adriano Ribeiro Guerra, Alexandre Christofaro Silva, João José Marques, Geraldo César de Oliveira, Nilton Curi

01/Nov/2012

Despite the interest in the spatial variability of key soil properties, depth-related variations have only recently received more attention in the literature. Of all soil properties, soil organic carbon (SOC) is perhaps the most depth-related and difficult to understand. Soil data from two regions in the State of Minas Gerais, Brazil, were used to model SOC profiles and identify factors of influence. In both the South and Southern Espinhaço regions, SOC profiles were best described by log functions. Oxisols had […]