Publications by authors named "Yuri L Zinn"

Heavy metals can play an important biological role as micronutrients but also as potentially toxic elements (PTEs). Understanding the natural concentrations of PTEs-Pb and Zn included-in soils allows for the identification and monitoring of contaminated areas and their role in environmental risk assessment. In this study, we aim to determine semi-total or natural and available concentrations of Pb and Zn in topsoils (0-20 cm depth) from 337 samples under native vegetation in the State of Minas Gerais, Brazil.

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Pristine soils under native vegetation can present high levels of potentially toxic elements when developed from the weathering of some unusual parent materials, especially ultramafic rocks and some metal ores. Here, we used various selective extractions in order to study the partition and potential availability of As in eight soils developed from steatite (a talc-rich rock) on an ultramafic hill in Brazil. Soils varied from shallow Entisols on the summit to Inceptisols and Oxisols on slopes and footslopes, where total As contents (determined by X-ray fluorescence) reached levels as high as 225 mg kg, which might raise concerns about their potential agricultural use and occupation.

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This study evaluates the dynamics of soil organic carbon (SOC) under perennial crops across the globe. It quantifies the effect of change from annual to perennial crops and the subsequent temporal changes in SOC stocks during the perennial crop cycle. It also presents an empirical model to estimate changes in the SOC content under crops as a function of time, land use, and site characteristics.

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Article Synopsis
  • A new global dataset on Soil Organic Carbon (SOC) changes due to perennial crops has been created, compiling data from 180 peer-reviewed studies.
  • The database includes 1,605 paired-comparison values from 709 sites across 32 countries, featuring 58 different types of perennial crops for food and bioenergy.
  • This resource will serve as a foundational tool for understanding SOC changes, aiding in models of land use and carbon cycles, and informing agricultural policy decisions.
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