Detection of physical hazards in soil profiles using quantitative soil physical quality assessment in the Pannonian basin, Eastern Austria

Trabajo desarrollado bajo la financiación del proyecto “Soil Hydrology research platform underpinning innovation to manage water scarcity in European and Chinese cropping Systems” (773903), coordinado por José Alfonso Gómez Calero, investigador del Instituto de Agricultura Sostenible (IAS). Reliable estimations of soil physical quality provide valuable information for the evaluation and advancement of agricultural soil management strategies. In the agriculturally highly productive Pannonian basin in Eastern Austria, little emphasis has been placed on the determination of soil physical quality and corresponding soil degradation risks. Nevertheless, ongoing climate change, especially prolonged drought periods and higher rainfall intensity, will raise the need for appropriate soil management strategies. Soil physical quality was therefore assessed in nine soil profiles in a long-term tillage experiment which has been in operation since 1988 in Eastern Austria. Soil samples from depths of between 2 and 37 cm and under three different tillage systems (conventional, reduced and minimal tillage) were analysed for various indicators of soil physical quality. The resulting classifications of soil physical quality in the different profiles were compared qualitatively and quantitatively together with an estimation concerning the representativeness of the soil physical quality indicators used. The outcomes showed severe soil compaction under all tillage treatments and slight improvements in soil physical quality marginally above the working depth for the different treatments. Additionally, conversion to conservation tillage led to less pronounced improvements in soil physical quality under Pannonian conditions than have been reported in more humid climates. This work was partially supported from the projects ‘Catch-C’ (FP7-KBBE-2011-5), which is co-funded by the European Commission, ‘Development of automated tools for the optimal monitoring of the erosion of agricultural land using remote sensing methods’ (QK1720289, 2017-2019) and ‘Shui’ (773903), which is co-funded by the European Commission within H2020-EU.3.2.1.1. Peer reviewed