Journal article

Modeling Soil Processes: Review, Key Challenges, and New Perspectives

Core Ideas

A community effort is needed to move soil modeling forward.

Establishing an international soil modeling consortium is key in this respect.

There is a need to better integrate existing knowledge in soil models.

Integration of data and models is a key challenge in soil modeling.

The remarkable complexity of soil and its importance to a wide range of ecosystem services presents major challenges to the modeling of soil processes. Although major progress in soil models has occurred in the last decades, models of soil processes remain disjointed between disciplines or ecosystem services, with considerable uncertainty remaining in the quality of predictions and several challenges that remain yet to be addressed. First, there is a need to improve exchange of knowledge and experience among the different disciplines in soil science and to reach out to other Earth science communities. Second, the community needs to develop a new generation of soil models based on a systemic approach comprising relevant physical, chemical, and biological processes to address critical knowledge gaps in our understanding of soil processes and their interactions. Overcoming these challenges will facilitate exchanges between soil modeling and climate, plant, and social science modeling communities. It will allow us to contribute to preserve and improve our assessment of ecosystem services and advance our understanding of climate¬タミchange feedback mechanisms, among others, thereby facilitating and strengthening communication among scientific disciplines and society. We review the role of modeling soil processes in quantifying key soil processes that shape ecosystem services, with a focus on provisioning and regulating services. We then identify key challenges in modeling soil processes, including the systematic incorporation of heterogeneity and uncertainty, the integration of data and models, and strategies for effective integration of knowledge on physical, chemical, and biological soil processes. We discuss how the soil modeling community could best interface with modern modeling activities in other disciplines, such as climate, ecology, and plant research, and how to weave novel observation and measurement techniques into soil models. We propose the establishment of an international soil modeling consortium to coherently advance soil modeling activities and foster communication with other Earth science disciplines. Such a consortium should promote soil modeling platforms and data repository for model development, calibration and intercomparison essential for addressing contemporary challenges.

SYNTHETIC-APERTURE RADAR ANZSRC::4106 Soil sciences SDG 13 - Climate Action Climate change 0503 Soil Sciences GROUND-PENETRATING RADAR Integration of knowledge Life sciences ANZSRC::050399 Soil Sciences not elsewhere classified synthetic-aperture radar Physical Sciences Water Resources Knowledge and experience MULTIPLE ECOSYSTEM SERVICES knowledge integration 570 DIFFUSE-REFLECTANCE SPECTROSCOPY Environmental Engineering Physique chimie mathématiques & sciences de la terre Scientific discipline 0703 Crop and Pasture Production 0207 environmental engineering Soil Science soil science ORGANIC-MATTER DYNAMICS DATA ASSIMILATION Physical chemical mathematical & earth Sciences ANZSRC::0503 Soil Sciences Science disciplines PEDOTRANSFER FUNCTIONS Feedback mechanisms modélisation ground-penetrating radar Science & Technology ANZSRC::080110 Simulation and Modelling 15. Life on land Sciences de la terre & géographie physique multiple ecosystem services root water-uptake Observation and measurement DIGITAL ELEVATION MODEL Quality of predictions SATURATED-UNSATURATED FLOW ARBUSCULAR MYCORRHIZAL FUNGI sciences du sol HYDRAULIC-PROPERTIES 2. Zero hunger Agriculture diffuse-reflectance spectroscopy 4106 Soil sciences ORGANIC-MATTER digital elevation model SDG 13 – Maßnahmen zum Klimaschutz Sciences du vivant Uncertainty analysis 0406 Physical Geography and Environmental Geoscience Life Sciences & Biomedicine Crop and Pasture Production 101028 Mathematical modelling international soil modeling consortium [SDU.STU]Sciences of the Universe [physics]/Earth Sciences Environmental Sciences & Ecology arbuscular mycorrhizal fungi Ecosystems Climate models QH301 Environmental sciences & ecology Life Science SEDIMENT TRANSPORT MODELS data integration sediment transport models approche ecosystémique 0105 earth and related environmental sciences info:eu-repo/classification/ddc/550 3707 Hydrology soil modeling ROOT WATER-UPTAKE SOLUTE TRANSPORT 13. Climate action Earth and Environmental Sciences Soil Sciences [SDU.STU] Sciences of the Universe [physics]/Earth Sciences Earth Sciences Earth sciences & physical geography Soils 101028 Mathematische Modellierung saturated-unsaturated flow Environmental Sciences sediment transport models diffuse-reflectance spectroscopy arbuscular mycorrhizal fungi multiple ecosystem services saturated-unsaturated flow ground-penetrating radar synthetic-aperture radar digital elevation model organic-matter dynamics.

Temporal

Created: 2016-05-13
Updated: 2026-07-17T16:25:46Z
Temporal extent: date

License: Unknown

Language: Unknown
Updated: 2026-07-17