Summary
This narrative review examines Denmark's long history of soil assessment and mapping, tracing the evolution from tax-revenue surveys to modern functional soil mapping. The authors synthesise how government-coordinated national soil surveys and environmental monitoring programmes, combined with recent machine learning developments, have enabled increasingly high-resolution spatial mapping of soil functions critical to water regulation, carbon sequestration, and agricultural production. The review identifies soil biodiversity as a significant gap in current spatial information despite advances in pedometric methods.
UK applicability
The UK shares similar climatic and pedological conditions with Denmark and has comparable agricultural intensification challenges; the Danish experience of coordinated national soil surveys and functional mapping could inform UK soil monitoring policy and inform efforts to balance agricultural productivity with ecosystem services provision. However, the applicability depends on whether the UK develops comparable systematic spatial databases and machine learning infrastructure for soil function assessment.
Key measures
Spatial maps of soil properties and functions related to drainage, groundwater interactions, water table, nitrogen leaching, carbon sequestration (peatlands), land suitability, wheat yields, and soil erosion risk
Outcomes reported
The paper reviewed the evolution of soil assessment methods and historical surveys in Denmark, and mapped multiple soil functions including water regulation, water filtering, carbon sequestration, and agricultural productivity at increasing spatial resolutions using machine learning approaches.
Topic tags
Dig deeper with Pulse AI.
Pulse AI has read the whole catalogue. Ask about this record, its theme, or how the findings apply to UK farming and policy — every answer cites the underlying studies.