Article
Agriculture, Multidisciplinary
Wildson Benedito Mendes Brito, Milton Cesar Costa Campos, Fernando Gomes de Souza, Laercio Santos Silva, Jose Mauricio da Cunha, Alan Ferreira Leite de Lima, Thalita Silva Martins, Flavio Pereira de Oliveira, Ivanildo Amorim de Oliveira
Summary: This study analyzed the isotropic and anisotropic patterns of magnetic susceptibility in soil properties in the Amazonas region, and found that anisotropic correction improved model fitting. Spatial dependency of magnetic susceptibility was confirmed, supporting the isotropy hypothesis.
PRECISION AGRICULTURE
(2022)
Article
Geosciences, Multidisciplinary
Sabrina C. Y. Ip, Alfrendo Satyanaga, Harianto Rahardjo
Summary: Soil shear strength is a critical parameter in slope stability and its spatial variation is complex. The study shows that Random Forest model has higher accuracy and spatial heterogeneity in predicting soil shear strength, and it is more sensitive to sample size.
Article
Engineering, Environmental
Vitaly G. Linnik, Tatiana V. Bauer, Tatiana M. Minkina, Saglara S. Mandzhieva, Mahmoud Mazarji
Summary: Soil contamination by heavy metals is a global health issue. This study analyzed soil samples from technogenically polluted areas in Rostov oblast to assess the concentrations and spatial distribution of four heavy metals. The results showed a strong spatial dependence pattern for the contamination index Zc. These findings provide guidance for identifying areas that require remediation and assessing the hygienic situation.
ENVIRONMENTAL GEOCHEMISTRY AND HEALTH
(2022)
Article
Agronomy
R. P. Sharma, S. Chattaraj, D. Vasu, K. Karthikeyan, P. Tiwary, R. K. Naitam, B. Dash, G. Tiwari, A. Jangir, A. Daripa, S. K. Singh, S. G. Anantwar, A. M. Nimkar
Summary: A study conducted in the basaltic region of central India investigated the spatial distribution of soil fertility parameters, revealing specific variability in soil attributes crucial for precision agriculture. The study identified deficiencies in certain nutrients and strong spatial dependence of others, supporting site-specific plant nutrient management for precision farming.
ARCHIVES OF AGRONOMY AND SOIL SCIENCE
(2021)
Article
Environmental Sciences
Gebiaw T. Ayele, Ayalkibet M. Seka, Habitamu Taddese, Mengistu A. Jemberrie, Christopher E. Ndehedehe, Solomon S. Demissie, Joseph L. Awange, Jaehak Jeong, David P. Hamilton, Assefa M. Melesse
Summary: Understanding the spatiotemporal trend of land cover change and its impact on hydrology, ecosystems, and the environment is crucial. This study analyzed the land cover change in a specific area using remotely-sensed data and assessed its relationship with watershed characteristics. The findings revealed an increase in agricultural land and a decrease in bushland, grazing land, and forest, influenced by soil type, fertility, and slope.
Article
Geosciences, Multidisciplinary
Gamze Erdogan Erten, Mahmut Yavuz, Clayton V. Deutsch
Summary: This study proposes a methodology that combines kriging and machine learning models to improve the accuracy of spatial estimation of geological features. By combining the estimation results from both methods, more accurate estimates can be obtained compared to using either machine learning models or kriging alone. The effectiveness of the proposed methodology is demonstrated through experiments.
NATURAL RESOURCES RESEARCH
(2022)
Article
Agronomy
Pedro Yescas-Coronado, Miguel angel Segura-Castruita, Arturo Moises Chavez-Rodriguez, Juan Florencio Gomez-Leyva, Aldo Rafael Martinez-Sifuentes, Osvaldo Amador-Camacho, Raul Gonzalez-Medina
Summary: The study aimed to identify and rank the covariables of soil-forming factors that affect the distribution and spatial variability of pH in an agricultural area, and to obtain a predictive map of soil pH. The results showed that particle size and human activity had the most influence on the spatial behavior of pH.
Article
Environmental Sciences
Prince Chapman Agyeman, John Kingsley, Ndiye Michael Kebonye, Vahid Khosravi, Lubos Boruvka, Radim Vasat
Summary: This study aims to predict and map antimony (Sb) concentration in agricultural soils using multiple regression kriging. Two modeling approaches were compared: Sb prediction using data fusion coupled with regression kriging (scenario 1) and Sb prediction using data fusion, terrain attributes, and regression kriging (scenario 2). The validation results showed that the extreme gradient boosting regression kriging (EGB_RK) was the optimal modeling approach in both scenarios, producing high accuracy predictions with low errors and bias. Combining terrain attributes with data fusion showed promising potential for reducing model error and bias in predicting Sb concentration in agricultural soils.
ENVIRONMENTAL POLLUTION
(2023)
Article
Green & Sustainable Science & Technology
Mohamed A. E. AbdelRahman, Yasser M. Zakarya, Mohamed M. Metwaly, Georgios Koubouris
Summary: Detailed knowledge of soil properties is crucial for optimizing agricultural practices. Different geostatistical methods were used to study the spatial variability of soil properties in a reclaimed area of Egypt, showing that Inverse Distance Weighting (IDW) was more efficient than Kriging for mapping soil properties.
Article
Computer Science, Interdisciplinary Applications
Zuxian Wang, Chenghua Shi, Haiyong Chen, Zhu Peng, Yingjie Sun, Xiaoyue Zheng
Summary: This paper presents a probabilistic analysis framework for the longitudinal performance of a shield tunnel considering spatial soil variability. Within this framework, a deterministic model is used to capture tunnel responses. Winkler elastic supports with varying stiffnesses are utilized to account for the spatial variation in the subgrade stiffness. The random field discretized by the Karhunen-Loe`ve expansion technique is introduced to simulate the spatial variation in the subgrade stiffness, while the Kriging metamodel-based Monte Carlo simulation method is employed to improve computational efficiency.
COMPUTERS AND GEOTECHNICS
(2023)
Article
Environmental Sciences
Armin Kavehei, Damian B. Gore, Anthony A. Chariton, Grant C. Hose
Summary: The study investigated the spatial distribution of biota and soil chemistry data in surface soil from Sunny Corner, Australia, a legacy base metal sulfide mine. Results indicated that copper, zinc, arsenic, and lead in the surface soil exceeded Australian national soil quality guidelines, posing risks to the environment. Environmental DNA metabarcoding of prokaryote and eukaryote composition confirmed these risks, suggesting its potential for rapid ecological assessment of contaminated sites.
Article
Soil Science
Ladan Heydari, Hossein Bayat, Fereydoon Sarmadian
Summary: Photosynthetic gas exchange indices can be used to assess spatial variation of crop growth and yield on the field. This study evaluated the spatial relationships between soil water retention curve parameters, soil properties, and photosynthetic gas exchange indices in a wheat field. The results showed that soil variables explained a large part of the total variation in photosynthetic rate and gas exchange parameters. The study also highlighted the potential use of interpolated maps to inform site-specific management decisions and improve wheat yield.
SOIL & TILLAGE RESEARCH
(2023)
Article
Engineering, Geological
C. Sastre Jurado, P. Breul, C. Bacconnet, M. Benz-Navarrete
Summary: Spatial variability of soil properties is a significant source of uncertainties in geotechnical analyses, yet soil testing is limited and the description of resulting variability remains subjective. This paper proposes an approach to evaluate soil spatial variability using field data from a lightweight dynamic cone penetrometer test.
GEORISK-ASSESSMENT AND MANAGEMENT OF RISK FOR ENGINEERED SYSTEMS AND GEOHAZARDS
(2021)
Article
Agricultural Engineering
Emanoel Di Tarso dos S Sousa, Daniel M. de Queiroz, Jorge T. F. Rosas, Amelia L. do Nascimento
Summary: This study investigated the influence of ECa readings per sample point on semivariance and kriging analysis. The results showed that the number of readings per sample point significantly affects ECa maps, and reducing readings per sample point can increase prediction errors by kriging. Therefore, ECa maps determined with the highest readings per sampling point were found to be the most accurate.
ENGENHARIA AGRICOLA
(2021)
Article
Geosciences, Multidisciplinary
Gerard B. M. Heuvelink, Richard Webster
Summary: Pedologists traditionally mapped soil by drawing boundaries, but the introduction of geostatistics and ordinary kriging in the 1980s revolutionized soil mapping. Machine learning techniques have also been adopted, but they lack transparency and spatial correlation considerations. Spatial statisticians and pedometricians have important roles in incorporating uncertainty and communicating it to end users.
SPATIAL STATISTICS
(2022)
Article
Agronomy
Raimunda Alves Silva, Alana das Chagas Ferreira Aguiar, Jose Manuel Macario Rebelo, Enio Farias de Franca e Silva, Geronimo Ferreira da Silva, Glecio Machado Siqueira
Article
Agricultural Engineering
Raphaela R. Bezerra, Enio F. de F e Silva, Glecio M. Siqueira, Daniel da C. Dantas, Brivaldo G. de Almeida, Alexsandro O. da Silva
REVISTA BRASILEIRA DE ENGENHARIA AGRICOLA E AMBIENTAL
(2019)
Article
Agriculture, Multidisciplinary
Raimunda Alves Silva, Glecio Machado Siqueira
Article
Agronomy
Elizabeth Haruna Kazama, Rouverson Pereira da Silva, Franciele Morlin Carneiro, Daniel de Bortoli Teixeira, Welington Gonzaga do Vale, Gener Tadeu Pereira
ACTA SCIENTIARUM-AGRONOMY
(2020)
Article
Soil Science
Elienai Ferreira da Silva, Mara Regina Moitinho, Daniel De Bortoli Teixeira, Elton da Silva Bicalho, Guilherme Adalberto Ferreira Castioni, Gener Tadeu Pereira, Newton La Scala Jr
SOIL USE AND MANAGEMENT
(2020)
Article
Agricultural Engineering
Raimunda A. Silva, Glecio M. Siqueira
Summary: This study evaluated the composition of soil fauna and the physical and chemical attributes of soil in different physiognomies of Cerrado in the Mirador State Park. The results showed that the Typical Cerrado had higher taxonomic richness and Shannon diversity compared to the Sparse Cerrado, possibly due to more favorable soil conditions in the Typical Cerrado.
REVISTA BRASILEIRA DE ENGENHARIA AGRICOLA E AMBIENTAL
(2022)
Article
Agricultural Engineering
Glecio M. Siqueira, Anderson de A. Souza, Patricia M. C. Albuquerque, Osvaldo Guedes Filho
Summary: This study evaluated the degree of multifractality in the spatial distribution of altitude, organic carbon concentration, and invertebrate fauna diversity, and analyzed the joint multifractal association among these variables. The results showed that these variables exhibited multifractal behavior with varying levels of heterogeneity at different scales.
REVISTA BRASILEIRA DE ENGENHARIA AGRICOLA E AMBIENTAL
(2022)
Article
Agricultural Engineering
Glecio M. Siqueira, Raimunda A. Silva
Summary: The objective of this study was to assess the scale relationships between soil arthropods and vegetation structure in the Cerrado region. It was found that the soil fauna was influenced by the composition of the plant strata, and plots with dense Cerrado and sparse Cerrado showed the greatest spatial dependence between samples. The use of geostatistical and multifractal analysis tools enabled the characterization of scale relationships between variables.
REVISTA BRASILEIRA DE ENGENHARIA AGRICOLA E AMBIENTAL
(2022)
Article
Plant Sciences
Hygor Evangelista Siqueira, Gener Tadeu Pereira, Teresa Cristina Tarle Pissarra, Marcilio Vieira Martins Filho, Carlos Alberto Araujo Campos
Summary: The Uberaba River Environmental Protection Area in Brazil is a water conservation unit that has experienced erosion, eutrophication, and changes in water quality and quantity. This study used the Universal Soil Loss Equation, Geographic Information System, and remote sensing products to evaluate soil losses and identify areas of erosion risk.
Article
Agronomy
Ricardo Niehues Buss, Raimunda Alves Silva, Osvaldo Guedes Filho, Glecio Machado Siqueira
Summary: This study evaluated the spatial variability of soybean yield and soil chemical properties in an Oxisol using geostatistical and multivariate analyses. The results showed that soil chemical properties varied more at deeper soil depths, and the PCA analysis helped group these variables more evenly. Spatialization using PCA allowed for the definition of management zones for different soil depths, improving soybean yield.
Article
Plant Sciences
Daniel M. da Silva, Jose F. Mendanha, Ricardo N. Buss, Glecio M. Siqueira
Summary: The study evaluated the spatial variability of weeds in a no-till area using multifractal analysis. Results showed different levels of multifractality among weed species, indicating varying dispersion and colonization processes. Raphanus raphanistrum and Commelina ssp. exhibited low measurement values, while other weeds were the most heterogeneous.
ADVANCES IN WEED SCIENCE
(2022)
Article
Agronomy
Jairo Osvaldo Rodriguez Leiva, Raimunda Alves Silva, Enio Farias De Franca e Silva, Glecio Machado Siqueira
Summary: This study analyzed the multifractality of the penetration resistance of soil vertical profiles from different slope forms, finding that convex pedoforms exhibited greater homogeneity and uniformity compared to concave pedoforms. Monitoring the minimum PR values was deemed more relevant for soil management, with fractal analysis showing potential for use in precision agriculture and specific management zone delineation.
Article
Soil Science
Enio Farias de Franca e Silva, Aitor Garcia-Tomillo, Souza da Silva, Diego Henrique Silva de Souza, Eva Vidal-Vazquez, Glecio Machado Siqueira, Daniel da Costa Dantas, Antonio Paz-Gonzalez
Summary: The study investigated the spatial behaviour of soil nutrients through single multifractal spectra and joint multifractal analysis, revealing different associations between Fe, Mn, Cu, Zn concentrations obtained by Mehlich-3 and DTPA methods. Results showed that joint multifractal analysis could improve the calibration of soil micronutrient testing, highlighting the complexity of spatial distributions of available Fe, Mn, Cu, and Zn across scales.
EUROPEAN JOURNAL OF SOIL SCIENCE
(2021)
Article
Soil Science
Alana Cristina Cunha Bernardes, Osmann Cid Conde Oliveira, Raimunda Alves Silva, Patricia Maia Correia Albuquerque, Jose Manuel Macario Rebelo, Jessica Herzog Viana, Glecio Machado Siqueira
REVISTA BRASILEIRA DE CIENCIA DO SOLO
(2020)
Article
Environmental Studies
Renata Cristina Araujo Costa, Gener Tadeu Pereira, Teresa Cristina Tarle Pissarra, Diego Silva Siqueira, Luis Filipe Sanches Fernandes, Vinicius Vasconcelos, Luiz Alberto Fernandes, Fernando Antonio Leal Pacheco
