Please note that this session was withdrawn and is no longer available in the respective programme. This withdrawal might have been the result of a merge with another session.

SSS12.8

Successfully achieving global Land Degradation Neutrality (LDN) by 2030 requires good governance. Governance bodies should be provided with reliable, functional and easy-to-interpret data. This allows making scientifically-based policy decisions on SDG measures, taking into account trade-offs and synergies between LDN and other key ecosystem services, including social components. Spatio-temporal information on soil properties are key to provide baseline information for addressing LDN. Links with digital assessment of soil and their functions are fundamental but also the assessment and propagation of their uncertainties. This session is of interest for all soil scientists and policy makers who want to present and discuss products and approaches for reaching LDN at different scales.

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Convener: Dominique Arrouays | Co-conveners: Alex McBratney, V.L. (Titia) MulderECSECS, Laura Poggio, László Pásztor
Successfully achieving global Land Degradation Neutrality (LDN) by 2030 requires good governance. Governance bodies should be provided with reliable, functional and easy-to-interpret data. This allows making scientifically-based policy decisions on SDG measures, taking into account trade-offs and synergies between LDN and other key ecosystem services, including social components. Spatio-temporal information on soil properties are key to provide baseline information for addressing LDN. Links with digital assessment of soil and their functions are fundamental but also the assessment and propagation of their uncertainties. This session is of interest for all soil scientists and policy makers who want to present and discuss products and approaches for reaching LDN at different scales.