Multidisciplinary, Agricultural and Biological Sciences, Soil Science
17
Scopus Publications
Scopus Publications
Soil Quality from Different Managements: Emphasis on Carbon Stock and Soil Nutrients) Julia Cardoso Silva, Guilherme Kangussu Donagemma, Edemar Moro, Anderson Fagundes de Oliveira, Victor Hugo Paes de Oliveira, João Herbert Moreira Viana, Marcelo Rodrigo Alves Revista Brasileira De Geografia Fisica, 2025 O solo é fundamental para a sociedade, fornecendo suporte para atividades humanas, vida vegetal e animal, além de ser vital para a produção de alimentos e matérias-primas. No entanto, sua conservação e manejo adequados são essenciais para garantir sua qualidade e produtividade. No Brasil, os solos arenosos são comuns, especialmente na região de Rancharia, São Paulo, onde predominam Argissolos e Latossolos. Esses solos apresentam desafios como baixa fertilidade e capacidade de retenção de água, impactando a agricultura. Considerando que os solos arenosos necessitam de manejo adequado para serem produtivos, objetivou-se a avaliação da qualidade do solo de áreas com diferentes manejos, como modo de evidenciar os benefícios de sistemas integrados aplicados em solos arenosos. Para tanto, procedeu-se à coleta de amostras de solo, em cinco áreas de solos arenosos com diferentes sistemas de cultivo, sendo três com sistema alternativo, uma área com pastagem convencional e uma área de vegetação natural secundária, em Rancharia - SP, para análise do fracionamento físico do carbono orgânico do solo e estoque de nutrientes de forma a comparar a qualidade dos solos das diferentes áreas. Desse modo, concluiu-se que os resultados não evidenciaram melhorias na qualidade do solo, mas as áreas com sistemas alternativos de cultivo auxiliaram no sequestro de carbono e na estruturação do mesmo, sendo uma boa alternativa para solos arenosos do Oeste Paulista e colaborando no serviço ambiental prestado.
Space-time mapping of soil organic carbon through remote sensing and machine learning Bruno dos Anjos Bartsch, Nicolas Augusto Rosin, Jorge Tadeu Fim Rosas, Raul Roberto Poppiel, Fernando Yutaro Makino, Letícia Guadagnin Vogel, Jean Jesus Macedo Novais, Renan Falcioni, Marcelo Rodrigo Alves, José A.M. Demattê Soil and Tillage Research, 2025
Mapping soil thickness using a mechanistic model and machine learning approaches Nícolas Augusto Rosin, Danilo César de Mello, Benito R. Bonfatti, Alfred E. Hartemink, Tiago O. Ferreira, Nelida E.Q. Silvero, Raul Roberto Poppiel, Wanderson de S. Mendes, Gustavo Vieira Veloso, Márcio Rocha Francelino, Marcelo Rodrigo Alves, Renan Falcioni, José A.M. Demattê Catena, 2025
Geotechnologies on the phosphorus stocks determination in tropical soils: General impacts on society Jorge Tadeu Fim Rosas, José A.M. Demattê, Nícolas Augusto Rosin, Bruno dos Anjos Bartsch, Raul Roberto Poppiel, Heidy Soledad Rodriguez-Albarracin, Jean Jesus Macedo Novais, Paulo Sergio Pavinato, Yuxin Ma, Danilo César de Mello, Marcio Rocha Francelino, Marcelo Rodrigo Alves Science of the Total Environment, 2024
Precipitation of amorphous iron and aluminum during the weathering of rock dust in soil columns Rafael Cipriano da Silva, Clécia Cristina Barbosa Guimarães, Antonio Carlos de Azevedo, Marcelo Rodrigo Alves, José Alexandre Melo Demattê Scientia Agricola, 2024 The application of rock dust (RD) in agricultural soils has shown the capacity to improve soil conditions for plant growth. However, the successful use of RD requires understanding its effects on weathering in soil surfaces and its possible products. In this study, we present the results of an exploratory test in which a RD had its weathering intensified in a soil column by temperature (45 °C) and intense leaching (1,339.2 mm in 24 weeks), in the absence of plants. There was a significant increase in amorphous phases of iron (Fe) and particularly of aluminum (Al) to the amount of 0.13 g kg –1 for Fe and 0.16 g kg –1 for Al in the 0-0.05 m layer of the column and 0.22 g kg –1 for Al in the 0.05-0.10 m layer. These values account for 6 % of the total Fe, and 27 % of the total Al added as RD in the column. Spectral features in the visible-near infrared-short wave infrared (VIS-NIR-SWIR) and mid-infrared (MIR) range, as well as X-ray diffraction (XRD) scans, were inconclusive because of the small signal-noise ratio of the newly precipitated phases. Selective chemical methods targeted to specific soil pools (precipitated, adsorbed, and leached) were more sensitive to capture the new amorphous phases resulting from the RD dissolution. This study contributes to understanding the effects of RD on the availability of ions and the possibility of amorphous oxides precipitating in the soil. In addition, it helps identify other effects associated with using RD, such as changes in the pH, cation exchange capacity (CEC), and nutrient availability.
The Brazilian Soil Spectral Library data opening J. J. M. Novais, N. A. Rosin, J. T. F. Rosas, R. R. Poppiel, A. C. Dotto, A. F. S. Paiva, H. Bellinaso, H. S. R. Albarracín, M. T. A. Amorim, B. dos A. Bartsch, L. G. Vogel, D. C. MeMello, M. R. Francelino, M. R. Alves, R. Falcioni, J. A. M. Demattê Bulleten Pocvennogo Instituta Imeni V V Dokucaeva, 2024 Among the various repositories of soil spectral data, the Brazilian Soil Spectral Library (BSSL, https://bibliotecaespectral.wixsite.com/english), created and maintained by the GeoCiS research group, is representative of the pedodiversity of the region, since it combines soil spectra from agricultural and environmental research. The BSSL database contains 16,084 observations with soil-harmonized surface layer physicochemical and spectral data in the visible, near-infrared, short-wave infrared (Vis-NIR-SWIR, 350–2,500 nm) and mid-infrared (MIR, 4,000–600 cm-¹) ranges from all 26 Brazilian states and the Federal District. The idea of creating the BSSL was born in 1995, completed in 2019 and opened to users in 2023. This database is currently available online at https://zenodo.org/records/8361419. During oppening process, data filtering was performed to ensure reliable and valuable information provided to society. Then consistency and quality assessments were executed using Pearson's correlation and the Cubist algorithm in the R environment. Modeling analysis revealed the robust predictive power of the spectral database, facilitating the modeling of key soil attributes. An open-access BSSL will help researchers validate their results by comparing measured data with predicted data, enabling the development of new models or the improvement of existing ones. The BSSL is a globally significant spectral library due to its broad coverage and representation of different tropical soil classes. Soil spectral data can help governments and corporations by providing information to decision-makers regarding the conservation or exploitation of natural resources to monitor soil health.
Soil Erosion Satellite-Based Estimation in Cropland for Soil Conservation Bruna Cristina Gallo, Paulo Sérgio Graziano Magalhães, José A. M. Demattê, Walter Rossi Cervi, João Luís Nunes Carvalho, Leandro Carneiro Barbosa, Henrique Bellinaso, Danilo César de Mello, Gustavo Vieira Veloso, Marcelo Rodrigo Alves, Elpídio Inácio Fernandes-Filho, Márcio Rocha Francelino, Carlos Ernesto Gonçalves Reynaud Schaefer Remote Sensing, 2023 Intensive cropland expansion for an increasing population has driven soil degradation worldwide. Modeling how agroecosystems respond to variations in soil attributes, relief and crop management dynamics can guide soil conservation. This research presents a new approach to evaluate soil loss by water erosion in cropland using the RUSLE model and Synthetic Soil Image (spectroscopy technique), which uses time series remotely sensed environmental, agricultural and anthropic variables, in the southeast region of São Paulo State, Brazil. The availability of the open-access satellite images of Tropical Rainfall Measuring Mission (TRMM) and Landsat satellite images provided ten years of rainfall data and 35 years of exposed soil surface. The bare soil surface and agricultural land use were extracted, and the multi-temporal rainfall erosivity was assessed. We predict soil maps’ attributes (texture and organic matter) through innovative soil spectroscopy techniques to assess the soil erodibility and soil loss tolerance. The erosivity, erodibility, and topography obtained by the Earth observations were adopted to estimate soil erosion in four scenarios of sugarcane (Saccharum spp.) residue coverage (0%, 50%, 75%, and 100%) in five years of the sugarcane cycle: the first year of sugarcane harvest and four subsequent harvesting years from 2013 to 2017. Soil loss tolerance means 4.3 Mg ha−1 exceeds the minimum rate in 40% of the region, resulting in a total soil loss of ~6 million Mg yr−1 under total coverage management (7 Mg ha−1). Our findings suggest that sugarcane straw production has not been sufficient to protect the soil loss against water erosion. Thus, straw removal is unfeasible unless alternative conservation practices are adopted, such as minimum soil tillage, contour lines, terracing and other techniques that favor increases in organic matter content and soil flocculating cations. This research also identifies a spatiotemporal erosion-prone area that requests an immediately sustainable land development guide to restore and rehabilitate the vulnerable ecosystem service. The high-resolution spatially distribution method provided can identify soil degradation-prone areas and the cropland expansion frequency. This information may guide farms and the policymakers for a better request of conservation practices according to site-specific management variation.
Intense Pasture Management in Brazil in an Integrated Crop-Livestock System Simulated by the DayCent Model Yane Freitas Silva, Rafael Vasconcelos Valadares, Henrique Boriolo Dias, Santiago Vianna Cuadra, Eleanor E. Campbell, Rubens A. C. Lamparelli, Edemar Moro, Rafael Battisti, Marcelo R. Alves, Paulo S. G. Magalhães, Gleyce K. D. A. Figueiredo Sustainability Switzerland, 2022 Process-based models (PBM) are important tools for understanding the benefits of Integrated Crop-Livestock Systems (ICLS), such as increasing land productivity and improving environmental conditions. PBM can provide insights into the contribution of agricultural production to climate change and help identify potential greenhouse gas (GHG) mitigation and carbon sequestration options. Rehabilitation of degraded lands is a key strategy for achieving food security goals and can reduce the need for new agricultural land. This study focused on the calibration and validation of the DayCent PBM for a typical ICLS adopted in Brazil from 2018 to 2020. We also present the DayCent parametrization for two forage species (ruzigrass and millet) grown simultaneously, bringing some innovation in the modeling challenges. We used aboveground biomass to calibrate the model, randomly selecting data from 70% of the paddocks in the study area. The calibration obtained a coefficient of determination (R2) of 0.69 and a relative RMSE of 37.0%. During the validation, we used other variables (CO2 flux, grain biomass, and soil water content) measured in the ICLS and performed a double validation for plant growth to evaluate the robustness of the model in terms of generalization. R2 validations ranged from 0.61 to 0.73, and relative RMSE from 11.3 to 48.3%. Despite the complexity and diversity of ICLS results show that DayCent can be used to model ICLS, which is an important step for future regional analyses and large-scale evaluations of the impacts of ICLS.
Readily dispersible clay in soils from different Brazilian regions by visible, near, and mid-infrared spectral data Isabela Mello Silva, Danilo Jefferson Romero, Clécia Cristina Barbosa Guimarães, Marcelo Rodrigo Alves, Lucas Prado Osco, Arnaldo Barros e Souza, Alvaro Pires da Silva, José A.M. Demattê International Journal of Remote Sensing, 2021 Unstable soil aggregates can easily be dispersed when mechanical energy is applied, denominated as readily dispersible clay (RDC) which is usually measured by turbidimetry. Faster methods that require minimum preparation at reduced costs are needed, such as the spectroscopy technique. Nevertheless, the technique has not yet been tested on soils. Electromagnetic radiation has strong interaction with soil physical elements (sand, silt, and clay) and with selective elements of the clay fraction, such as mineralogy. Thus, this study assessed the potential of 400–16,680 nm range (visible – Vis; near-infrared – NIR; short-wave infrared – SWIR; and medium infrared – MIR) spectroscopy to estimate RDC in some tropical soils. We also evaluated the wavelengths and regions that contribute to this prediction. We collected 68 samples from the underlying horizon of three different soils from three important states in Brazil The soil analyses were performed (physical and chemical) in the laboratory. RDC quantification was compared with the Vis-NIR-SWIR and MIR wavelengths models. The random forest (RF) algorithm was used to generate the prediction in the soil database. For RDC, the Vis-NIR-SWIR and MIR configuration presented a better relationship (coefficient of correlation (r) = 0.659 and root of the mean square error (RMSE) = 0.469%), although the results were similar when the regions were evaluated separately (Vis-NIR-SWIR – 350 to 2500 nm and MIR 2500 to 16,680 nm). RDC determination is more related to bands from 1980 to 2040, 6840 to 7360, and 7750 to 9820 nm. Spectroscopy showed its importance in RDC quantification, as it is fast and does not require soil preparations. The results show that spectral wavelengths are appropriate to assist on the estimative of RDC in the studied soils and may provide a basis for future research.
Machine learning erosion and vulnerability map validation Renata Cristina Mafra, Mayara Maezano Faita Pinheiro, Rejane Ennes Cicerelli, Lucas Prado Osco, Marcelo Rodrigo Alves, Ana Paula Marques Ramos Revista Brasileira De Geografia Fisica, 2020
