Article
Soil Science
Anna Petrovskaia, Gleb Ryzhakov, Ivan Oseledets
Summary: Spatial soil sampling is crucial for describing spatial variability in soil properties. Optimal experiments can reduce costs and select sample locations with significant dissimilarities. The maxvol algorithm-based sampling design outperforms popular methods in soil taxa prediction.
Article
Environmental Sciences
Maria Eliza Turek, Laura Poggio, Niels H. Batjes, Robson Andre Armindo, Quirijn de Jong van Lier, Luis de Sousa, Gerard B. M. Heuvelink
Summary: The development of point-based global maps of soil water retention improves the availability and quality of soil data, compared to traditional map-based approaches. By combining measured and predicted data with environmental variables, this study demonstrates the superior performance of the point-based mapping approach.
INTERNATIONAL SOIL AND WATER CONSERVATION RESEARCH
(2023)
Article
Soil Science
Alfred E. Hartemink
Summary: The study of soil, or pedology, has evolved beyond its traditional focus on formation, morphology, mapping, and classification. It now includes quantitative approaches that utilize legacy data, advanced data collection techniques, and computation. These developments have led to the emergence of various subdisciplines and have expanded the field of pedology's relevance to global change and the understanding of the earth system.
EUROPEAN JOURNAL OF SOIL SCIENCE
(2023)
Article
Soil Science
Xiao-Lin Sun, Budiman Minasny, Hui-Li Wang, Yu-Guo Zhao, Gan-Lin Zhang, Yun-Jin Wu
Summary: The study highlights the importance of understanding spatiotemporal changes in soil conditions for food production, environmental sustainability, and climate change adaptation. The INLA-SPDE model shows promise in accurately predicting soil properties and accounting for uncertainties in spatiotemporal soil modeling. The study recommends the use of INLA-SPDE within a hierarchical model as an effective method in studying spatiotemporal soil change.
Article
Soil Science
Mei-Wei Zhang, Chenkai Hao, Xiaoqing Wang, Xiao-Lin Sun
Summary: The generalized linear geostatistical model (GLGM) is a formal approach for regression kriging that shows promise for digital soil mapping (DSM). This study evaluates the use of GLGM for mapping soil organic matter at a regional scale, and compares it with other commonly used approaches. Results suggest that GLGM generally improves the accuracy of DSM, particularly with larger sample sizes, although the improvement is not significant. The success of GLGM modeling and prediction is highly influenced by sampling densities.
Article
Soil Science
Nicolas Augusto Rosin, Jose A. M. Dematte, Raul Roberto Poppiel, Nelida E. Q. Silvero, Heidy S. Rodriguez-Albarracin, Jorge Tadeu Fim Rosas, Lucas Tadeu Greschuk, Henrique Bellinaso, Budiman Minasny, Cecile Gomez, Jose Marques Junior, Kathleen Fernandes
Summary: Minerals are crucial for soil functions and addressing global issues. Soil spectroscopy is a useful tool to measure mineral abundance. This study used spectral data and digital soil mapping techniques to estimate the abundance of minerals in Brazil. The predictions were validated and found to be accurate, revealing the spatial distribution of mineral abundances at a finer resolution than existing maps.
Article
Soil Science
Alexandre M. J-C Wadoux, Dennis J. J. Walvoort, Dick J. Brus
Summary: In this study, a more appropriate and effective method of map evaluation using Taylor and solar diagrams is recommended. These summary diagrams can visualize different aspects of map quality from the relationship between statistical indices, providing better insights compared to single or extensive list of indices.
Article
Business
Juergen Kai-Uwe Brock, Ajay K. Kohli
Summary: This research utilizes two global surveys of IT service customers to identify the emergence of Digital Exploration services. In contrast to Traditional IT services and cloud-based Digital Exploitation services, Digital Exploration services involve adopting new digital technologies (e.g., blockchain, augmented reality, deep learning, IoT) to develop novel business strategies and processes. In-depth interviews with IT customers highlight the critical success factors for Digital Exploration, including customer selectivity, collaboration between IT providers and customers, strategic and systemic thinking, open innovation, and performance directionality. These interviews also shed light on the mindset and behavioral changes needed in business unit leaders and various functions within IT providers and customers to fully realize the potential of Digital Exploration services.
JOURNAL OF BUSINESS RESEARCH
(2023)
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
Operations Research & Management Science
Janarthanan Balakrishnan, Yogesh K. Dwivedi
Summary: The study investigates the role of digital assistants in enhancing purchase intention, with perceived anthropomorphism playing a significant role. Hypotheses were proposed based on various psychology-related theories, offering practical implications for developers and marketers.
ANNALS OF OPERATIONS RESEARCH
(2021)
Article
Engineering, Industrial
Anna Essen, Johan Frishammar, Javier Cenamor
Summary: Digital platforms have brought significant changes to various sectors; however, new platform business models often face challenges in terms of legitimacy, especially when entering highly regulated non-platformized sectors. Based on a case study of digital healthcare platforms in Sweden, our analysis reveals a dynamic process of redesigning platform business models and their components in response to legitimacy debates, indicating the fragility and continuous negotiation of operating permission. Our findings contribute to the understanding of platforms, business models, and digital innovation in complex institutional contexts, and have implications for managers and policy makers in the digital health field.
Article
Soil Science
S. D. Roberton, C. R. Lobsey, J. McL Bennett
Summary: The text discusses the limitations of incorporating management decisions as input data in agricultural decision-making tools. It proposes a probability-based approach utilizing qualitative and quantitative data to provide a probability distribution of risk for decision-making in agricultural enterprises. The study illustrates the use of a Bayesian Belief Network (BBN) to assess soil compaction risk in agricultural systems.
Article
Soil Science
Sushil Lamichhane, Kabindra Adhikari, Lalit Kumar
Summary: This study utilized state-of-the-art soil mapping techniques to predict and map topsoil SOC content in agricultural lands in Nepal. Four machine learning algorithms were used to build prediction models, and the best performing model was used to map and quantify the spatial distribution of SOC contents. The results showed that the Random Forest algorithm performed the best among the tested models. The predictive performance of all models was better than the global SOC prediction from ISRIC.
Article
Multidisciplinary Sciences
Fumiko Ogushi, Janos Kertesz, Kimmo Kaski, Takashi Shimada
Summary: Wikipedia, a collaborative online knowledge space lacking professional editors, faces challenges in assessing quality and trustworthiness; self-consistent metrics can better identify high-quality articles and reveal the dynamic relationship between editors and articles.
SCIENTIFIC REPORTS
(2021)
Editorial Material
Medicine, General & Internal
George Coukos
Summary: Melanomas are immunogenic tumors, but many patients do not benefit from anti-PD-1 therapy, leaving an important therapeutic gap. Adoptive cell therapy with tumor-infiltrating lymphocytes (TILs) is a personalized treatment approach, involving the infusion of autologous T lymphocytes obtained directly from the patient's tumor and then expanded in culture for treatment.
NEW ENGLAND JOURNAL OF MEDICINE
(2022)
Correction
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
Review
Green & Sustainable Science & Technology
Tom O'Donoghue, Budiman Minasny, Alex McBratney
Summary: Regenerative agriculture is a movement focused on soil health, biodiversity, and socioeconomic disparities, aiming to achieve sustainable agriculture through the regeneration of agricultural resources and improvement of ecosystem function. While the definition of this movement is yet to be confirmed, there are potential avenues to deliver its intentions through iterative design and emerging markets.
Article
Soil Science
I. Mukumbuta, L. M. Chabala, S. Sichinga, R. M. Lark
Summary: Soil information is crucial for agricultural research, but its availability is limited in developing countries like Zambia due to the cost of new surveys. This study evaluated the availability and usefulness of legacy soil information in Zambia's Southern and Eastern Provinces. The findings showed that a significant number of past surveys were not traceable, and most existing reports were in poor condition or only available in hard copy. Despite these limitations, stakeholders considered the legacy information valuable and suggested incorporating some of its features into modern soil information.
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
Food Science & Technology
Beaula Mutonhodza, Mavis P. Dembedza, Murray R. Lark, Edward J. M. Joy, Muneta G. Manzeke-Kangara, Handrea Njovo, Tasiana K. Nyadzayo, Alexander A. Kalimbira, Elizabeth H. Bailey, Martin R. Broadley, Tonderayi M. Matsungo, Prosper Chopera
Summary: Globally, anemia is a significant health issue, particularly affecting women of reproductive age and children in low- and lower-middle-income countries. This study conducted in rural Zimbabwe found that the prevalence of anemia among women was 17.9% and among children was 29.6%. Maternal anemia and being male were significantly associated with anemia in children, while using unimproved dug wells as a drinking water source and lack of agricultural land ownership were significantly associated with anemia in women of reproductive age.
FOOD SCIENCE & NUTRITION
(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.
Article
Agronomy
Demeke Teklu, Dawd Gashu, Edward J. M. Joy, R. Murray Lark, Elizabeth H. Bailey, Lolita Wilson, Tilahun Amede, Martin R. Broadley
Summary: This study aimed to investigate the influence of genotypic differences on responses to zinc and iron agronomic biofortification among yields of finger millet. The findings suggest that genotype differences and environmental conditions can affect the influence of Zn and Fe agronomic biofortification on the yield of finger millet. The combined soil application of FeSO(4)7H(2)O and ZnSO(4)7H(2)O increased the yield of the Meba genotype by 51.6%, while ZnSO(4)7H(2)O fertilizer application increased the yield of the Urji genotype by 27.6%.
