Pedogenic processes in a chronosequence of very deeply weathered soils in southeastern Brazil

Rezende, Sérvulo Batista de; Franzmeier, D. P.; Resende, M. D. V. de; Mancini, Marcelo; Curi, Nilton

doi:10.1016/j.catena.2022.106362

Cited by 6 publications

(1 citation statement)

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“…Soils with greater Fe contents relative to other elements (e.g., K, Ca, Mg, silicon, etc.) tend to be more weathered and thus have greater clay contents (de Rezende et al., 2022). The clay fraction has a positive correlation with the preservation of OC in soils (Schweizer et al., 2021).…”

Section: Discussionmentioning

confidence: 99%

Multinational prediction of soil organic carbon and texture via proximal sensors

Mancini,

Andrade,

Silva

et al. 2023

Soil Science Soc of Amer J

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Novel technologies help to monitor environmental impact of human activities, but tests involving datasets from several countries, encompassing a large variability of soil properties, are still scarce. This study utilized proximal sensors to predict soil organic carbon (OC) and soil texture of samples from Brazil, France, India, Mozambique, and United States of America. In total, 1,749 samples were analyzed by portable X‐ray fluorescence spectrometry (pXRF) and visible near‐infrared diffuse reflectance spectroscopy (Vis‐NIR). Samples were randomly split into modeling (70%) and validation (30%) datasets. Sand (R2 = 0.82), silt (0.87) and clay (0.84) predictions were very accurate, despite contrasting climates, soil parent materials, and weathering degrees. Soil OC predictions were similarly successful (0.72). pXRF was the optimal sensor for soil texture predictions. Proximal soil sensing can be successfully used with a global soil database offering a clean, rapid, and accurate alternative to estimate soil texture and OC across the globe.This article is protected by copyright. All rights reserved

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Section: Discussionmentioning

confidence: 99%