Journal Paper Digests 2026 #10

  • DeepProfile: An inverse fusion framework for root zone soil moisture profile estimation
  • Alternatives to Equivalent Soil Mass in Monitoring, Reporting and Verification of Changes in Soil Carbon
  • Organic Carbon and Texture Control Moisture Dependence of Soil Shortwave Infrared Reflectance

Journal Paper Digests 2026 #9

  • Bridging single-species research and mixture reality: Emerging contaminants fate and transport in vadose zones
  • From soil to gas – high resolution insights into plant-soil interactions by integrating planar oxygen optodes, porewater chemistry, soil microbial analysis and trace soil gas flux using a rhizobox approach
  • Mechanisms of soil aggregate stability and disintegration response to soil internal forces: Especially under water-level fluctuation zones
  • Modeling Soil Organic Carbon Changes Using Signal-To-Noise Analysis: A Case Study Using European Soil Survey Datasets

Journal Paper Digests 2026 #8

  • Field-Scale Soil Moisture Predictions in Real Time Using In Situ Sensor Measurements in an Inverse Modeling Framework: SWIM2
  • Soil Organic Carbon Changes in Agricultural Areas of Europe—Synthesis of Repeated Regional Soil Surveys
  • A RothC-based spatiotemporal analysis of soil organic carbon stocks in agricultural soils of the Netherlands (1986–2022)

Journal Paper Digests 2026 #7

  • A Mineral Protection Paradigm for Soil Organic Carbon Fractionation: Iron and Calcium as a Geochemical Bridge in Arid and Semi-Arid Grasslands
  • Soil Carbon Modeling at Crossroads: Building Reliable Methods for Policy and Practice
  • An innovative mapping framework for soil erodibility integrating spatial association dimensions and machine learning
  • Uncertainties of enhanced rock weathering for climate-change mitigation

Journal Paper Digests 2026 #6

  • The influence of rewetting intensity on soil priming after drought
  • Interactions between soil environmental factors and microbial communities consistently predict plant health
  • Commentary: Structural equation models and causal claims in soil science and biogeochemistry – An equation-free “how to”
  • Knowledge-Guided Machine Learning for Global Change Ecology Research
  • Spatiotemporal Trade-Offs and Synergies Among Environmental Footprints of Grain Crop Production in China
  • Combining physical models and machine learning for enhanced soil moisture estimation
  • Potential for improving micronutrient supply and environmental sustainability by using underutilized crops in China
  • Generating geochemical and mineralogy distributions of soil in the conterminous United States using Bayesian hierarchical spatial models