David Robinson
David is a Principal research scientist at UKCEH specialising in soil science and monitoring. He is responsible for UKCEH soil observatories and elements of national soil monitoring in the UK. In addition, his research interests focus on soil physics including soil hydrology, structure and erosion. Moreover, he investigates soil physical function and its interplay with biology, within the wider context of soil monitoring and ecosystem service assessment in response to climate and land use change drivers.
Sessions
David A. Robinson (1), Grant Campbell (2), Pete Smith (2).
(1) UK Centre for Ecology & Hydrology, (2) University of Aberdeen
Soil provides environmental, social and economic functions (Blum, 2005). Recognizing the importance of soil functions, different frameworks have been proposed to convey the importance of soils to society. Such frameworks usually have a construct based on values, where the definition of value is “a framework for identifying positive (better) or negative (worse) qualities in events, objects, or situations” (Edwards-Jones et al., 2000). Quality is something often sought after but difficult to define. Ultimately, quality matters because decision making, and subsequent actions taken, are often contingent on the interpretation of quality framings. Quality means different things in different contexts and can thus lead to frequent misunderstandings. Quality can refer to excellence (the degree of distinction or superiority), a standard (how good or bad something is), or a characteristic (a feature of something) (Cambridge Dictionary Online). Moreover, quality can be classified into five categories according to its usage, 1) exception, 2) perfection, 3) fit for purpose, 4) value for money and 5) transformative. In this presentation these framings are examined in the context of soil health and the Mission soil. Different framings are suitable for different scales and purposes, but also determine to some extent how indicators are selected, thresholds determined, and results interpreted.
Edwards-Jones, G., B. Davies, and S. Hussain. 2000. Ecological economics: An introduction. Blackwell Science, Oxford, UK
Soil degradation poses critical challenges to sustainable food production and environmental stability. In this study, we integrate simulations from 18 global climate models under two combined SSP-RCP scenarios (SSP2-4.5 and SSP5-8.5) with land use fractions from the Land Use Harmonization (LUH2) dataset to assess future soil degradation risks across Europe. We adopt a machine learning framework to link a Soil Degradation Proxy (an index integrating multiple soil health indicators including erosion rate, pH, electrical conductivity, and soil organic carbon; SDP) to topography, soil characteristics, climatic factors, and land use practices, enabling projections of how these factors collectively influence future soil degradation trends.
Our projections indicate that under the higher-emission SSP5-8.5 scenario, approximately 54% of European soil observation sites could face increased vulnerability to degradation by the far future (2071–2100). This heightened degradation risk is especially evident in northern European regions, such as Estonia and Latvia, where SDP may rise by up to 16%, largely influenced by changing climate conditions. In contrast, southern regions of Europe (e.g., Spain and Italy) could experience a decrease in SDP, suggesting potential improvements in soil health tied to evolving land use practices.
By combining climate projections, land use practices, and soil type, this work provides new insights into future trends and patterns of soil degradation across Europe. These findings support the urgent need for developing targeted soil management strategies to mitigate the negative impacts of climate and land use change on soil health conditions.