Weathering and mineral alteration of metamorphic rocks and genesis of Planosols along a rainfall gradient in Borborema Province, Northeast Brazil

Damin, Virgínia; Andrade, Gabriel Ramatis Pugliese; Filho, J. C. de Araújo; Santos, Jean Cheyson Barros dos; Corrêa, Marcelo Metri; Ferreira, Tiago Osório; Camargo, Plínio Barbosa de; Araújo, Jane Kelly Silva; Silva, Artur Henrique Nascimento da; Sousa, Marilya Gabryella; Júnior, Valdomiro Severino de Souza

doi:10.1016/j.geodrs.2023.e00642

Cited by 5 publications

(1 citation statement)

References 64 publications

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“…In the near-infrared region, the main chemical elements interacting with electromagnetic radiation in soils were free water and hydroxyl (OH), usually being part of the soil solution or linked to the clay-mineral network that promotes greater moisture retention in the soil [73]; organic matter; carbonates [72][73][74]; and the presence of kaolinite and other phyllosilicates of common occurrence in the soils of the Brazilian semiarid region [67,75].…”

Section: Pedometricsmentioning

confidence: 99%

Diffuse Reflectance Spectroscopy for Mapping Soil Carbon Stock in the Gilbués Desertification Region at Brazilian Cerrado

Sousa,

Silva,

Martins

et al. 2023

Land

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The carbon stock (C Stock) is a key soil attribute, especially in areas under degradation. The objective of this study was to map the C Stock and other physical and chemical attributes on the soil surface of a micro-watershed located in the Gilbués Desertification Nucleus and to calibrate pedometric functions to map them, applying spectra obtained by Diffuse Reflectance Spectroscopy (DRS) in the near-infrared (NIR) region. This study was developed in the Piripiri Stream Micro-watershed (PSMW), which presents different levels of degradation. A total of 214 composite soil samples were collected from the 0–0.10 m depth layer. Spectral and laboratory analyses were performed following traditional methods. The results from 100 samples were subjected to descriptive analysis, pedometric modeling, and geostatistics, while the remainder were used exclusively for the prediction and modeling of the predicted attribute maps. C Stock ranged from 0.3 to 11%, with the highest values associated with the least sandy sites. We assert that stakeholders, including government agencies, could utilize DRS for mapping main soil attributes, such as C Stocks, soil granulometry, or total organic carbon, in regions characterized by similar parent material and soil properties. This application can support informed decision-making regarding land management in extensive areas facing soil threats.

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