Article
Engineering, Geological
Peiyuan Lin, Xianying Chen, Mingjie Jiang, Xugen Song, Meijuan Xu, Sheng Huang
Summary: This study develops a simple, efficient, and accurate tool for prompt assessments of shear strength and compressibility parameters of soft soils in the Guangdong-Hong Kong-Macao Greater Bay Area of China. By employing the artificial neural network (ANN) technique, the study maps the shear strength and compressibility properties of soft soils based on their physical parameters and evaluates the accuracy of the ANN models. The study helps save time and cost in geotechnical investigation for soft soils in the area.
ENGINEERING GEOLOGY
(2022)
Article
Remote Sensing
Nai-Qing Fan, Fang-He Zhao, Liang-Jun Zhu, Cheng-Zhi Qin, A-Xing Zhu
Summary: The effective use of environmental covariates is crucial for digital soil mapping. Traditional approaches ignore the varying applicability of covariates in characterizing soil-environment relationships. This study proposes an adaptive method that quantifies covariate applicability based on terrain conditions and integrates it into the iPSM method, outperforming other methods in predicting soil organic matter content.
INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION
(2022)
Review
Soil Science
Songchao Chen, Dominique Arrouays, Vera Leatitia Mulder, Laura Poggio, Budiman Minasny, Pierre Roudier, Zamir Libohova, Philippe Lagacherie, Zhou Shi, Jacqueline Hannam, Jeroen Meersmans, Anne C. Richer-de-Forges, Christian Walter
Summary: Digital soil mapping (DSM) is increasingly used to deliver soil information efficiently. Research shows that while the number of DSM publications continues to grow exponentially, the majority focus on applications rather than methodology, with a particular emphasis on the mandatory soil properties for global soil mapping.
Article
Soil Science
Jonas Schmidinger, Gerard B. M. Heuvelink
Summary: In digital soil mapping, probabilistic predictions are commonly used but their validation is often overlooked. By adopting metrics from the broader probabilistic literature, the reliability and sharpness of these predictions can be evaluated. In a case study, the probabilistic predictions of five different models were compared, with QRF and QRPP RF performing the best and NM performing the worst.
Article
Soil Science
Chenconghai Yang, Lin Yang, Lei Zhang, Chenghu Zhou
Summary: This study compares the mapping of soil organic matter (SOM) using the INLA-SPDE model with RS-based soil moisture indices and FTD variables in different vegetation-covered areas of Anhui Province, China. The results show that the optimal combination of RS-based soil moisture indices and FTD variables improves the mapping accuracy of SOM, and the INLA-SPDE model has a higher prediction accuracy than the Random Forest model.
Review
Soil Science
Kristin Piikki, Johanna Wetterlind, Mats Soderstrom, Bo Stenberg
Summary: The systematic mapping of validation methods used in digital soil mapping (DSM) indicated that while most publications include map validation, essential information such as sampling design and sample support is often lacking in the method descriptions, making interpretation of validation metrics difficult and compromising their usefulness.
SOIL USE AND MANAGEMENT
(2021)
Article
Soil Science
Madlene Nussbaum, Stephan Zimmermann, Lorenz Walthert, Andri Baltensweiler
Summary: Maps of soil pH are important for forest management decisions. Existing mapping methods neglect the bimodal distribution of soil pH values, leading to misleading interpretations. This article presents a novel approach that reproduces the distributional properties of soil pH.
Article
Environmental Sciences
Wenhao Zhao, Jin Ma, Qiyuan Liu, Jing Song, Mats Tysklind, Chengshuai Liu, Dong Wang, Yajing Qu, Yihang Wu, Fengchang Wu
Summary: The study found that soil attributes and their environmental drivers show different patterns and distinct regional characteristics in different geographical directions, which have important effects on substance migration and transformation and the environmental impacts of pollutants. However, there is no comprehensive evaluation or systematic classification of the natural soil environment in China.
ENVIRONMENTAL RESEARCH
(2023)
Article
Soil Science
P. Lagacherie, S. Bui, J. Constantin, S. Dharumarajan, L. Ruiz, M. Sekhar
Summary: Digital Soil Mapping (DSM) can serve as an alternative data source for spatializing crop models, and the study found that DSM products outperformed traditional soil maps in providing spatial estimates of STICS soil parameters. While the errors on STICS' yearly outputs induced by DSM estimations of soil parameters were generally low, they were significant for years with high impacts of soil variations.
Article
Geosciences, Multidisciplinary
Farzin Shahbazi, Tobias Karl David Weber, Shahin Oustan, Zohreh Alvyar, Sangho Jeon, Budiman Minasny
Summary: Urmia Lake in Iran has been gradually drying up, and this study investigates how this drying process affects the distribution of soil chemical ripening in the lakebed sediments. The research combines soil samples, portable XRF spectrometer measurements, remote sensing images, and geochemical indices to map the distribution of soil ripening progression. The study finds that the Ba/Sr index is the best indicator for detecting soil chemical ripening in the area.
Article
Mathematics
Junnosuke Shino, Shinichi Ishihara, Shimpei Yamauchi
Summary: This paper explores the concept of solution mapping in interval games and defines the Shapley mapping as a specific form of solution mapping. It shows that the Shapley mapping can be characterized by two different axiomatizations using interval game versions of standard axioms in traditional cooperative game analysis.
Article
Geosciences, Multidisciplinary
Gabor Szatmari, Laszlo Pasztor, Annamaria Laborczi, Gabor Illes, Zsofia Bakacsi, Dora Zachary, Tibor Filep, Zoltan Szalai, Gergely Jakab
Summary: The objective of the study is to develop a cubist-based pedotransfer function (PTF) for predicting and mapping the saturated SOC content of the topsoils (0-30 cm) in Hungary. The study found that both the physicochemical properties of soils and environmental conditions, such as topography and climate, are important factors in predicting the level of SOC saturation. The results show that there is a significant SOC deficit in a large part of the country, with high spatial variability.
Article
Soil Science
Christopher Blackford, Brandon Heung, Kara L. Webster
Summary: Digital soil mapping combines soil plot data with environmental datasets to model variation in soil properties across a landscape. Optimizing site selection and sampling intensity can improve the accuracy of digital soil maps and reduce field costs. Generating preliminary uncertainty maps can guide subsequent field soil sample collections to significantly improve model performance. This study demonstrates the effectiveness of uncertainty maps in guiding sampling by simulating a multiyear soil sampling campaign and testing different uncertainty metrics and sampling intensity levels.
Article
Soil Science
Mercedes Roman Dobarco, Alex McBratney, Budiman Minasny, Brendan Malone
Summary: Soil entities are typically defined based on soil properties and can be characterized by groupings of homogeneous soil-forming factors to create unique soil entities with similar properties. This study successfully developed a methodology for mapping pedogenon classes during the European settlement in New South Wales, providing important information for local and regional management.
Article
Biodiversity Conservation
Wei-chun Zhang, He-shuang Wan, Ming-hou Zhou, Wei Wu, Hong -bin Liu
Summary: This study used machine learning models to predict the spatial distribution of soil organic carbon (SOC) and soil total carbon content (STC), and quantified the contribution of environmental factors to the variability of SOC and STC. The results showed that the Random Forest plus residuals Kriging (RFRK) model performed best in prediction and uncertainty estimation, while the eXtreme Gradient Boosting (XGBoost) model performed well in uncertainty estimation. Land use types, mean annual Normalized Difference Vegetation Index, and elevation were identified as the top three important indicators in determining the spatial variability of SOC and STC.
ECOLOGICAL INDICATORS
(2022)
Article
Soil Science
Wartini Ng, Budiman Minasny, Edward Jones, Alex McBratney
Summary: This study evaluates different strategies to improve the model accuracy of a regional spectral library for soil organic carbon prediction and found that local and localized models perform better than other strategies when more than 20 local samples are used.
Article
Environmental Sciences
Zohreh Alvyar, Farzin Shahbazi, Shahin Oustan, Orhan Dengiz, Budiman Minasny
Summary: Anthropogenic activities and climate change have led to the drying of Urmia Lake in Iran, causing serious environmental hazards in adjacent areas. Digital soil mapping techniques can potentially help assess the enrichment of toxic elements in soil, highlighting the need for immediate restoration efforts in the region.
SCIENCE OF THE TOTAL ENVIRONMENT
(2022)
Article
Environmental Sciences
Jose A. M. Dematte, Ariane Francine da Silveira Paiva, Raul Roberto Poppiel, Nicolas Augusto Rosin, Luis Fernando Chimelo Ruiz, Fellipe Alcantara de Oliveira Mello, Budiman Minasny, Sabine Grunwald, Yufeng Ge, Eyal Ben Dor, Asa Gholizadeh, Cecile Gomez, Sabine Chabrillat, Nicolas Francos, Shamsollah Ayoubi, Dian Fiantis, James Kobina Mensah Biney, Changkun Wang, Abdelaziz Belal, Salman Naimi, Najmeh Asgari Hafshejani, Henrique Bellinaso, Jean Michel Moura-Bueno, Nelida E. Q. Silvero
Summary: Although many Soil Spectral Libraries have been created globally, they have not been operationalized for end-users. To address this, an online Brazilian Soil Spectral Service (BraSpecS) was created. The system allows users to find spectra, estimate soil properties, and act as data custodians.
Article
Soil Science
M. O. F. Murad, B. Minasny, H. Bramley, A. B. McBratney
Summary: Monitoring soil water use using EMI surveys is an efficient technique for studying plant responses to drought or irrigation. This study developed a crop water use monitoring system at the plot level using an EMI instrument, and demonstrated its effectiveness by correlating EMI data with measured volumetric moisture contents.
SOIL & TILLAGE RESEARCH
(2022)
Article
Agricultural Engineering
M. O. F. Murad, E. J. Jones, B. Minasny, A. B. McBratney, N. Wijewardane, Y. Ge
Summary: Soils are important carbon sinks, and accurately measuring and estimating soil organic carbon content is a challenge. In this study, a visible and near-infrared penetrometer system was developed to measure in-situ soil spectra, and a spectral library and regression models were used to estimate soil organic carbon content. The External Parameter Orthogonalisation transformation removed the interference of soil moisture and other factors. The results showed that the penetrometer system can rapidly and cost-effectively measure soil organic carbon content.
BIOSYSTEMS ENGINEERING
(2022)
Article
Soil Science
Peipei Xue, Budiman Minasny, Alex McBratney, Vanessa Pino, Mario Fajardo, Yu Luo
Summary: Microorganisms play crucial roles in soil processes, and different microbial functional groups control nutrient cycling in soils. This study investigated the environmental and soil factors that drive the distribution of bacterial functional groups involved in soil carbon cycling. The results showed that temperature, rainfall, and soil properties significantly influenced the bacterial functional groups, and agricultural practices also had significant impacts on the composition and responses of these groups.
EUROPEAN JOURNAL OF SOIL SCIENCE
(2023)
Editorial Material
Environmental Sciences
Cornelia Rumpel, Farshad Amiraslani, Deborah Bossio, Claire Chenu, Magali Garcia Cardenas, Beverley Henry, Alejandro Fuentes Espinoza, Lydie-Stella Koutika, Jagdish Ladha, Beata Emoke Madari, Budiman Minasny, Adesola Olaleye, Saidou Nourou Sall, Yasuhito Shirato, Jean-Francois Soussana, Consuelo Varela-Ortega
REGIONAL ENVIRONMENTAL CHANGE
(2023)
Article
Environmental Sciences
Xiao-Lin Sun, Budiman Minasny, Yun-Jin Wu, Hui-Li Wang, Xiao-Hui Fan, Gan -Lin Zhang
Summary: The increase in soil organic carbon (OC) in China over the past two decades suggests that atmospheric carbon dioxide is being sequestered into the soil, mitigating climate change and improving soil health. However, there have also been reports of soil pH decrease nationwide, which may negatively impact soil quality for food production and the environment. This study investigates the relationship between soil OC and pH using large-scale soil survey data from two provinces in China and finds that the changes in OC and pH are significantly correlated, with increased soil nitrogen content as the linking factor. The decrease in pH is particularly significant in the eastern region of China, where soils are more neutral in pH. The study recommends exploring alternative methods of carbon sequestration in soil to avoid potential acidification effects caused by excessive nitrogen application.
SCIENCE OF THE TOTAL ENVIRONMENT
(2023)
Article
Environmental Studies
Yuxin Ma, Budiman Minasny, Valerie Viaud, Christian Walter, Brendan Malone, Alex McBratney
Summary: Soil organic carbon (SOC) redistribution plays a significant role in affecting soil quality. This study introduces a coupled-model combining RothPC-1 and a soil redistribution model to simulate SOC changes in the Lower Hunter Valley area. Results show that erosion is mainly predicted in upslope areas and deposition in low-lying areas. The study emphasizes the importance of considering soil redistribution in SOC dynamics modeling to avoid overestimation of SOC stocks.
Article
Geosciences, Multidisciplinary
Peipei Xue, Budiman Minasny, Alex McBratney, Neil L. Wilson, Yijia Tang, Yu Luo
Summary: Soil microbial communities are influenced by soil types and land use. This study investigated contrasting soils of natural forest and cropped vineyard in New South Wales, Australia and found that land use affected the bacterial community distribution in the topsoil, while soil types influenced the assembly of microbial communities in the subsoil. The study also revealed a decrease in topsoil organic carbon in the vineyard compared to the forest, which was correlated with changes in C-related genes and potentially accelerated carbon loss.
Article
Geosciences, Multidisciplinary
Andree M. Nenkam, Alexandre M. J. -C. Wadoux, Budiman Minasny, Alex B. McBratney, Pierre C. S. Traore, Anthony M. Whitbread
Summary: Many areas in the world lack sufficient soil data, leading to ineffective soil-related studies and inadequate soil management strategies. This paper demonstrates how to find "homosoils", which are geographically distant but share similar soil-forming factors, in order to obtain new soil data for a study area. By clustering the study area into homogeneous areas and identifying a homosoil for each area using distance metrics, this approach provides a solution to the problem of sparse soil data. The concept of homosoils shows promise for future applications such as transferring soil models and agronomic experimental results between areas.
Article
Environmental Sciences
Chiara Pasut, Fiona H. M. Tang, Budiman Minasny, Charles R. Warren, Feike A. Dijkstra, William J. Riley, Federico Maggi
Summary: In this study, the turnover time of soil organic carbon (SOC) pools in global wetlands and the governing processes were quantified using a comprehensive process-based biogeochemical model. The results showed that SOC turnover time ranged from 1 to 1,000 years and was mainly controlled by anaerobic and aerobic respiration, as well as abiotic destabilization from soil minerals. The findings also revealed seasonal variability in SOC turnover, indicating the need for better accounting of seasonal fluctuations to estimate carbon exchanges between wetlands and the atmosphere at geographic scales.
GLOBAL BIOGEOCHEMICAL CYCLES
(2023)
Article
Multidisciplinary Sciences
Alexandre M. J-C. Wadoux, Mercedes Roman Dobarco, Brendan Malone, Budiman Minasny, Alex B. McBratney, Ross Searle
Summary: This article introduces a new dataset of high-resolution gridded total soil organic carbon content data across Australia. The dataset includes six maps of soil organic carbon content at two resolutions and provides uncertainty estimates. The maps were obtained through interpolation of organic carbon measurements and validation showed small errors and adequate prediction uncertainty. These soil carbon maps are important for monitoring carbon stock changes and assessing the influence of climate change, land management, and greenhouse gas offset.
Article
Environmental Sciences
Budiman Minasny, Diana Vigah Adetsu, Matt Aitkenhead, Rebekka R. E. Artz, Nikki Baggaley, Alexandra Barthelmes, Amelie Beucher, Jean Caron, Giulia Conchedda, John Connolly, Raphael Deragon, Chris Evans, Kjetil Fadnes, Dian Fiantis, Zisis Gagkas, Louis Gilet, Alessandro Gimona, Stephan Glatzel, Mogens H. Greve, Wahaj Habib, Kristell Hergoualc'h, Cecilie Hermansen, Darren B. Kidd, Triven Koganti, Dianna Kopansky, David J. Large, Tuula Larmola, Allan Lilly, Haojie Liu, Matthew Marcus, Maarit Middleton, Keith Morrison, Rasmus Jes Petersen, Tristan Quaife, Line Rochefort, Linda Rudiyanto, Linda Toca, Francesco N. Tubiello, Peter Lystbaek Weber, Simon Weldon, Wirastuti Widyatmanti, Jenny Williamson, Dominik Zak
Summary: Peatlands, covering only a small percentage of the Earth's surface, are a significant carbon store. However, they are under threat due to degradation. To protect and reduce emissions from these carbon-rich ecosystems, countries have implemented regulations. This paper reviews the current state of knowledge on mapping and monitoring peatlands and highlights the need for more consistent approaches.
Article
Environmental Sciences
Kanika Singh, Ignacio Fuentes, Dhahi Al-Shammari, Chris Fidelis, James Butubu, David Yinil, Amin Sharififar, Budiman Minasny, David Guest, Damien J. Field
Summary: This study combined high-resolution satellite imagery with novel signal extraction methods to evaluate the feasibility and soil capacity of cocoa cultivation, and identified potential cocoa regions. The results showed that the classification accuracy of cocoa regions reached 97%, demonstrating the feasibility of this method for monitoring land use and cocoa production.