Monitoring soil health in practice: equipping stakeholders to sample, analyse, and interpret soil health indicators

Expected Outcome: Activities under this topic will support the objectives of the Mission Soil and contribute to meeting the targets of the EU Soil Strategy for 2030 and the implementation of the Soil Monitoring and Resilience Directive. Furthermore, these activities should advance improvement of soil management and environmental performance outlined in the Vision for Agriculture and Food and the Common Agricultural Policy. Project results are expected to contribute to all the following expected outcomes: enhanced reliability and accessibility of soil health data by and for laboratories, land managers, advisors and policymakers; improved understanding by land managers, other relevant practitioners and policymakers of the conditions, limitations and uncertainties of soil data and outputs and tools (e.g. datasets, indicators, descriptors, methodologies, pedo-transfer functions) developed by Mission Soil projects and initiatives (among others); increased collaboration and interaction among stakeholders, including end-users, around soil heath data issues; support the development of standards, norms and reference frameworks as well as national and international guidelines of soil sampling and monitoring and promote best practices. Scope: Soil health assessments will be key in the EU, especially with initiatives like the upcoming Soil Monitoring and Resilience Directive. Assessments will provide critical data to support adaptive management practices that optimise soil health enhancing competitiveness and resilience. Soil analyses are subject to variabilities arising from sampling methods, handling and transport of soil samples, variations in laboratory equipment and calibration, lack of standardised testing methods, human error, and the natural variability of soil properties. Moreover, farmers and land managers usually lack a comprehensive understanding of soil health indicators. This undermines their ability to accurately interpret soil analysis results and implement effective interventions, like adjusting fertilisation practices or crop rotation strategies. Limited training in proper sampling techniques and the use of modern diagnostic tools further hinders their ability to make informed decisions and manage soil health effectively. To address these gaps, it is essential to implement rigorous protocols and training for laboratory personnel, as well as enhance farmers’ and land managers’ decision-making capabilities. Reliable soil data is also crucial as it underpins models predicting future soil health scenarios, supports the formulation of evidence-based pol…