Long-term drivers and consequences of soil degradation: learning from the past to improve future soil health

Expected Outcome:Activities under this topic will help progress towards the objectives and targets of the Mission Soil and the EU Soil Strategy for 2030. Moreover, activities should also contribute to meeting the ambitions of the Sustainable Development Goals[1]. Project results are expected to contribute to all the following expected outcomes:policymakers and other relevant stakeholders have improved access to knowledge and quantitative data on changes in soil degradation over the past centuries to millennia across different pedo-climatic regions, alongside projections for future soil health trends under different scenarios;policymakers, land managers and other relevant stakeholders have an advanced understanding of the long-term drivers (and the similarities and differences with short-term drivers) and long-term consequences of soil degradation processes including their role in the climate and biodiversity systems and in the water and nutrient cycles, both in the past and in the future;policymakers and other relevant stakeholders have an expanded comprehension of the social and cultural factors driving historical soil degradation and societal perceptions of soil degradation and soil health, as well as an enhanced understanding of the long-term socio-economic consequences of soil degradation processes, e.g. in terms of EU’s agricultural competitiveness, both in the past and in the future;citizens are more aware of the societal impacts of soil degradation and the lengthy recovery process, to foster an accelerated acceptance of sustainable soil management practices. Scope:Since the beginning of agriculture, human activities worldwide have contributed to soil degradation, including soil erosion, soil compaction and loss of soil organic carbon among others. This caused problems to farmers and landowners, as well as to society in general. However, our knowledge of changes in soil health over the past centuries to millennia is limited, and available datasets span only t