Article
Geography
Concha Cano-Diaz, Romy Zeiss, Claudia Carvalho-Santos, Rui P. Carvalho, Sofia R. Costa, A. Carolina Duarte, Paulo Fernandes, Carlos A. Guerra
Summary: Soil degradation has detrimental effects on ecosystem functions and biodiversity, impacting essential processes like food production and water quality. This study assessed eight soil threats and measured the importance of anthropogenic and environmental variables. The vulnerability maps provide valuable information for informed decision making in soil management and strategic policy formulation.
Article
Geosciences, Multidisciplinary
Dongxue Zhao, Jie Wang, Xueyu Zhao, John Triantafilis
Summary: This study compared the importance of proximally and remotely sensed data for predicting clay at district scale, using different models and averaging techniques. The results showed that gamma-ray data was crucial for topsoil clay prediction, while slope was important for subsoil. Random forest model was found to be the best for predicting topsoil clay, with Granger-Ramanathan averaging recommended as a protocol for district-scale clay prediction.
Article
Agronomy
Ehsan Zare, Jie Wang, Dongxue Zhao, Maryam Arshad, John Triantafilis
Summary: This study successfully created a digital soil mapping (DSM) of available water content (AWC) in the root-zone, providing dryland cotton farmers with a better tool for soil management. The DSM demonstrated substantial agreement between measured and predicted field capacity (FC) and permanent wilting point (PWP) at all depths, with a superior performance of stepwise-MLR models. The final DSM allows farmers to better manage AWC, distinguishing between large AWC in clay-rich Vertosols and small AWC in loamy soil of the Pilliga Sandstone.
AGRICULTURAL WATER MANAGEMENT
(2021)
Article
Environmental Sciences
Lubna A. Alasadi, Ali Abid Abojassim
Summary: This study aimed to detect and map the natural radioactivity levels of uranium-238, thorium-232, and potassium-40 in soil samples from Kufa districts, Najaf governorate, Iraq. The results showed that the specific activity of these radionuclides in all soil samples were within the safety limits, except for three samples with higher potassium-40 levels.
ENVIRONMENTAL EARTH SCIENCES
(2022)
Article
Biodiversity Conservation
Saeid Moushani, Hossein Kazemi, Hermann Klug, Mohammad Esmaeil Asadi, Afshin Soltani
Summary: This study evaluates ecosystem services in 48 Iranian soybean fields under conventional and conservation cropping systems, finding that conservation cropping systems generally outperform conventional cropping systems in providing ecosystem services.
ECOLOGICAL INDICATORS
(2021)
Article
Agronomy
Walter Chen, Kieu Anh Nguyen, Yu-Chieh Huang
Summary: This pioneering study comprehensively models water erosion across Taiwan at a 20 m spatial resolution using the Revised Universal Soil Loss Equation (RUSLE) model. The study examines the significant issue of soil erosion in Taiwan beyond agricultural areas and enables cross-regional comparisons. The results show that Taiwan's yearly soil erosion rates are very similar despite differences in certain factors. The study also validates the model's accuracy through comparisons with erosion pin measurements.
Article
Environmental Sciences
Hira Shaukat, Ken C. Flower, Matthias Leopold
Summary: This study investigated the key soil parameters influencing the survival and growth of the Leptospermum nitens plantations using electromagnetic induction (EMI) and unmanned aerial vehicle (UAV) imagery. The results showed that soil electrical conductivity was strongly correlated with shrub survival and growth, indicating that soil mapping can be an effective method for risk assessment of new shrub plantations.
FRONTIERS IN ENVIRONMENTAL SCIENCE
(2022)
Article
Chemistry, Multidisciplinary
Dimitrios E. Alexakis, George D. Bathrellos, Hariklia D. Skilodimou, Dimitra E. Gamvroula
Summary: This study aims to evaluate the suitability of land in the Ioannina plain in western Greece, focusing on the soil contents of Cd and Co, which were found to be significantly higher than international guidelines due to anthropogenic sources such as traffic emissions. Urban and agricultural lands cover the vast majority of the total area, with Cd and Co concentrations well above European topsoil mean values.
APPLIED SCIENCES-BASEL
(2021)
Article
Soil Science
Raul Roberto Poppiel, Jose Alexandre Melo Dematte, Nicolas Augusto Rosin, Lucas Rabelo Campos, Mahboobeh Tayebi, Benito Roberto Bonfatti, Shamsollah Ayoubi, Samaneh Tajik, Farideh Abbaszadeh Afshar, Azam Jafari, Nikou Hamzehpour, Ruhollah Taghizadeh-Mehrjardi, Yaser Ostovari, Najmeh Asgari, Salman Naimi, Kamal Nabiollahi, Hassan Fathizad, Mojtaba Zeraatpisheh, Fatemeh Javaheri, Maryam Doustaky, Mehdi Naderi, Somayeh Dehghani, Saeedeh Atash, Akram Farshadirad, Salman Mirzaee, Ali Shahriari, Maryam Ghorbani, Mehdi Rahmati
Summary: This study utilized random forest algorithm and remote sensing data to generate a topsoil map covering nearly 3.34 million square kilometers in the Middle East, based on data from over 5000 sites. The findings revealed that topsoils in the Middle East are characterized by sandy and loamy textures, low organic carbon levels, alkaline reactions, and high calcium carbonate content.
Article
Soil Science
Fellipe A. O. Mello, Jose A. M. Dematte, Rodnei Rizzo, Andre C. Dotto, Raul R. Poppiel, Wanderson de S. Mendes, Clecia C. B. Guimaraes
Summary: Studies on soil maps using digital mapping techniques, considering drainage network info, evaluate its contribution to predicting soil classes. By calibrating models and cross-validation to optimize model selection, the performance of the models was validated.
Article
Soil Science
Anders Bjorn Moller, Triven Koganti, Amelie Beucher, Bo Iversen, Mogens Humlekrog Greve
Summary: The study introduces a downscaling method that combines coarse-resolution soil maps with sensor data to improve predictions of soil properties. By utilizing relationships between soil properties and sensor data from other locations, the method can predict soil properties at specific locations more accurately.
Article
Agronomy
Mohammad Farzamian, Fethi Bouksila, Ana Marta Paz, Fernando Monteiro Santos, Nessrine Zemni, Fairouz Slama, Abir Ben Slimane, Tarek Selim, John Triantafilis
Summary: Approximately half of Tunisia's irrigated area is affected by soil salinization due to arid and semi-arid conditions, low-quality water irrigation, shallow and saline groundwater, and poor drainage. This study used non-invasive electromagnetic induction (EMI) instrument, EM38, to collect apparent soil electrical conductivity (ECa) data and estimated the spatial distribution of true soil electrical conductivity (sigma) using a quasi-3d (q-3d) inversion algorithm. The results showed that the inversion of ECa measured at 0 and 0.2 m heights had the best coefficient of determination (R2 = 0.61) between sigma and ECe.
AGRICULTURAL WATER MANAGEMENT
(2023)
Article
Soil Science
Karen W. Holmes, Edward A. Griffin, Dennis van Gool
Summary: The study focused on spatial distribution of soil coarse fragments and utilized a new approach to increase accuracy of prediction maps, providing high predictive power for various soil features within the study area.
Article
Environmental Sciences
Muhammad Daniyal, Ghulam Mohyuddin Sohail, Hafiz Muhammad Awais Rashid
Summary: This study proposes a GIS-based workflow for accurately determining soil type and condition, as well as the interrelationships between groundwater and geotechnical properties. The study finds that the Inverse distance weighting (IDW) interpolation technique is more effective than Kriging, as it has a lower mean root mean square error (RMSE). The correlation coefficient between measured and interpolated values increases confidence in the estimated properties at unsampled locations. Additionally, the cross-plots between geotechnical properties demonstrate their interdependence and variation with soil type and groundwater depth.
ENVIRONMENTAL EARTH SCIENCES
(2023)
Article
Agriculture, Multidisciplinary
Andrei Dornik, Marinela Adriana Chetan, Lucian Dragut, Andrei Iliuta, Daniel Dorin Dicu
Summary: Land suitability assessment (LSA) is crucial in addressing challenges like food security and climate change. This study compared different mapping units for LSA and found that GEOBIA units performed the best, while geomorphons and conventional soil map units resulted in poorer maps.
COMPUTERS AND ELECTRONICS IN AGRICULTURE
(2022)
Article
Soil Science
Nan Li, Dongxue Zhao, Maryem Arshad, Michael Sefton, John Triantafilis
Summary: This paper explores the application of digital soil mapping (DSM) in sugarcane growing areas and compares different models and data. The results show that using the Cubist-RK model combined with digital data can provide more accurate predictions of exchangeable sodium percentage (ESP) in the soil, while the clustering of digital data is effective for delineating management zones.
SOIL USE AND MANAGEMENT
(2022)
Article
Agriculture, Multidisciplinary
Patrick Filippi, Brett M. Whelan, R. Willem Vervoort, Thomas F. A. Bishop
Summary: This study aimed to develop a novel approach to identify crop yield gaps, utilizing quantile random forest machine learning models to simulate crop yield potential for different seasons and locations. The results showed that the new method is more accurate and site- and season-specific compared to traditional methods, with potential for widespread adoption in cropping systems.
PRECISION AGRICULTURE
(2022)
Article
Agriculture, Multidisciplinary
Edward J. Jones, Thomas F. A. Bishop, Brendan P. Malone, Patrick J. Hulme, Brett M. Whelan, Patrick Filippi
Summary: Machine learning methods have been widely used for crop yield modeling and forecasting, but there has been limited application in understanding site-specific yield constraints. More quantitative and systematic approaches are needed to identify and understand the causes of variation in crop yield in order to implement appropriate management responses.
COMPUTERS AND ELECTRONICS IN AGRICULTURE
(2022)
Article
Agronomy
Si Yang Han, Thomas Francis Aloysius Bishop, Patrick Filippi
Summary: By utilizing advanced technology and data, it is possible to forecast sugarcane yield in the Australian sugar industry, helping growers to better manage agricultural resources.
FIELD CROPS RESEARCH
(2022)
Correction
Agriculture, Multidisciplinary
Patrick Filippi, Brett M. Whelan, R. Willem Vervoort, Thomas F. A. Bishop
PRECISION AGRICULTURE
(2022)
Article
Soil Science
Tibet Khongnawang, Ehsan Zare, Pranee Srihabun, Itisak Khunthong, John Triantafilis
Summary: The study combined proximal sensed data with soil electrical conductivity measurements to investigate methods for managing saline soils, finding that combining EM38v and EM38h resulted in better outcomes. Additionally, the approach can be used to quantitatively assess crop growth using the NDVI index.
SOIL USE AND MANAGEMENT
(2022)
Article
Agriculture, Multidisciplinary
Mikaela J. Tilse, Thomas F. A. Bishop, John Triantafilis, Patrick Filippi
Summary: In this study, machine learning and digital soil mapping techniques were used to map the depth of constraints in a land area of approximately 80,000 hectares in northern New South Wales, Australia. The study found that constraints were present in the upper 1.2 meters of the soil profile in 54% of the study area, resulting in an average reduction of 50 mm in available water capacity (AWC) and an average yield loss of 1.1 t/ha for wheat and 0.8 bales/ha for cotton. Sodicity was identified as the most limiting constraint to yield in the study area.
CROP & PASTURE SCIENCE
(2022)
Article
Soil Science
Nan Wang, Jie Peng, Jie Xue, Xianglin Zhang, Jingyi Huang, Asim Biswas, Yong He, Zhou Shi
Summary: This study developed a novel framework for monitoring salt content in deep soil by combining time-series satellite images and machine learning. Field experiments conducted in Alar, Xinjiang revealed the vertical variation in salt content in soil through analysis of 120 soil samples and 582 conductivity measurements. Relevant covariates were selected using random forest, and salt content was modeled and forecasted using a temporal convolution network.
Article
Soil Science
Yakun B. Zhang, Zachary E. Freedman, Alfred Hartemink, Thea Whitman, Jingyi Huang
Summary: This study investigated the use of mid-infrared (MIR) soil spectra to characterize soil microbial properties. The results showed that MIR spectra could predict changes in microbial properties and distinguish spatial patterns of microbial properties. Soil organic carbon, sand content, and pH affected the distribution of microbial biomass and diversity, and improved the accuracy of predicting microbial properties from MIR spectra. Therefore, MIR spectroscopy has important applications in large-scale ecological modeling and monitoring.
Article
Chemistry, Analytical
Shuo Li, Jiali Shen, Thomas F. A. Bishop, Raphael A. Viscarra Rossel
Summary: X-ray fluorescence (XRF) spectroscopy is a fast and efficient method for analyzing soil elemental composition, but is sensitive to spectral interference and physical, chemical matrix effects. Through experimentation, it was found that excitation times significantly affect XRF spectra, while there was no significant difference between air-dry and 10% water content. Moisture has minimal effect on coarse samples unless ground to 1 mm.
Article
Environmental Sciences
Xiaoxiao Min, Yulin Shangguan, Jingyi Huang, Hongquan Wang, Zhou Shi
Summary: This study evaluated and compared the performance of nine mainstream satellite-based soil moisture (SM) products and found that different products exhibited different strengths and error characteristics under different environmental conditions. The SMOS-INRA-CESBIO (IC) product outperformed others in most cases, especially in Australia. The ESA CCI products showed high accuracy in capturing the spatial dynamics of SM seasonal anomalies.
Article
Soil Science
Nan Wang, Jie Peng, Songchao Chen, Jingyi Huang, Hongyi Li, Asim Biswas, Yong He, Zhou Shi
Summary: This study developed a novel soil salinity index (ERSSI) by calculating spectral bands and radar data, which showed high sensitivity and accuracy in estimating soil salinity in farmland covered by crop residues.
Article
Soil Science
Jonathan Sanderman, Asa Gholizadeh, Zampela Pittaki-Chrysodonta, Jingyi Huang, Jose Lucas Safanelli, Richard Ferguson
Summary: Large and publicly available soil spectral libraries are valuable resources for estimating soil properties. In this study, it was found that models developed using the USDA NSSC-KSSL MIR library could be successfully transferred to a secondary instrument with appropriate preprocessing and calibration transfer techniques.
SOIL SCIENCE SOCIETY OF AMERICA JOURNAL
(2023)
Article
Environmental Sciences
Jie Hu, Alfred E. Hartemink, Ankur R. Desai, Philip A. Townsend, Rose Z. Abramoff, Zhe Zhu, Debjani Sihi, Jingyi Huang
Summary: Current carbon cycle models have focused on the effects of climate and land-use change on primary productivity and microbial-mineral dependent carbon turnover in the topsoil, but have overlooked the importance of vertical soil processes and soil response to land-use change along the profile. In this study, spatial-temporal analysis was used to estimate soil organic carbon (SOC) change at NEON sites in the USA over 30 years. The study found that different soil types and land-use practices had significant impacts on SOC accumulation or loss, and identified runoff/erosion, leaching potential, vertical translocation, and mineral sorption as the key factors controlling SOC variation.
JOURNAL OF GEOPHYSICAL RESEARCH-BIOGEOSCIENCES
(2023)
Article
Geography, Physical
S. Dharumarajan, Thomas F. A. Bishop
Summary: This study examines the potential of the Random Forest Model in mapping different desertification processes. The desertification vulnerability index was developed using various indices and factors, allowing for the identification of environmentally sensitive areas. The overall accuracy rate for predicting different desertification processes varied, with soil erosion and no desertification processes showing good prediction, while salinization and waterlogging processes showed poor prediction.
SCIENCES IN COLD AND ARID REGIONS
(2022)
