To use fertilizers more effectively, non-invasive geophysical methods can be used to understand nutrient distribution in the soil. We utilize in a long-term field study geophysical techniques to study soil properties and conditions under different fertilizer treatments. We compared the geophysical responds with soil samples and soil sensor data. Especially, electromagnetic induction and electrical resistivity tomography were effective in monitoring changes in nitrate levels over time.

We integrate various methods to create soil property maps for soil surveyors, which they can utilize as a reference before beginning their fieldwork. A new sampling design based on a geographical stratification is proposed focussing on local feature space variability. It allows for a systematic analysis of predictive accuracy for varying densities. The spectral and spatial models yielded high accuracies. Our study highlights the value of integrating pedometric technologies in soil surveys.

Soil microbial fuel cell (SMFC) to eliminate Cr(VI) from paddy soil and metal tolerance analysis; 76 % of Cr(VI) elimination, 0.97 V power output, and heavy metal resistance genes elevation; Enrichment of exoelectrogens, Cr(VI) reducers, and tolerators contributed to SMFC performance; Bio-physical adsorption and electrochemical-microbial reduction simultaneously reduced Cr(VI).

This study shows that cultivating natural soils disrupts crucial mineral-organic associations, leading to carbon loss and reduced soil fertility. By analyzing soil samples from a forest and crop andosols, we found that these associations exist as amorphous coprecipitates (nanoCLICs). Cultivation reduces quantities of nanoCLICs by 50 %, highlighting their vulnerability to environmental changes and the need to develop strategies to preserve them to maintain soil fertility.

Soil health is of critical importance and many soils are threatened. Benchmarking sustainable soil management is a challenge as there is no comprehensive indicator set. Here, I introduce a novel conceptual approach to soil health, representing soil functions as complex and hard to measure variables. I outline a new methodology to study soil multifunctionality using latent variable models to represent soil functions. This is a new starting point for soil health research and ultimately monitoring.

Soil erosion is a major issue in vineyards due to often steep slopes and fallow interlines. While cover crops are typically used for erosion control, moss restoration has not been explored. In this study, moss restoration reduced surface runoff by 71.4 % and sediment discharge by 75.8 % compared to bare soil, similar to cover crops. Mosses could serve as ground cover where mowing is impractical, potentially reducing herbicide use in viticulture, though further research is needed.

This study develops a new method to improve the calibration and evaluation of models that predict soil erosion by water. By using advanced imaging techniques, we can capture detailed changes of the soil surface over time. This helps improve models that forecast erosion, especially as climate change creates new and unpredictable conditions. Our findings highlight the need for more precise tools to better model erosion of our land and environment in the future.

Tea plantations in China were facing soil acidification, nutrient deficiencies and imbalance. Less than 45 % of tea plantations can classified as high-quality tea plantations. Soil nutrients and pH were closely related to geological and climatic factors and varied among soil types. The status of soil nutrients and pH can be modified by managerial practices such as cultivation period and fertilization strategy. Recommendations were made to tackle soil problems.

Our study uses a noninvasive geoelectrical method to monitor hydroquinone oxidation in MnO₂-rich soil. We combined it with chemical analyses to observe real-time changes in soil pH, calcium, and manganese levels. Our findings reveal that MnO₂ oxidation of hydroquinone triggers reactions, such as calcite dissolution and amorphous manganese oxide formation. This research advances the understanding of soil-pollutant interactions and highlights the method's potential in tracking soil remediation.