Participatory selection of soil quality indicators for monitoring the impacts of regenerative agriculture on ecosystem services

Abstract

Improving the understanding and fostering large-scale adoption of regenerative agriculture (RA) requires soil quality monitoring systems that integrate farmers’ and researchers’ knowledge. This is especially relevant for participatory impact assessment in semiarid areas prone to land degradation that typically respond slowly to management changes, often resulting in low RA adoption rates. We developed a framework for the identification and selection of local and technical soil quality indicators and for the development of a visual soil assessment tool, to participatory monitor the impacts of RA by farmers and researchers. We applied this framework in a large-scale restoration project in southeast Spain together with almond farmers implementing RA. Local indicators selected by farmers focused mostly on water regulation, erosion control, soil fertility, crop performance and main supporting, regulating and provisioning ecosystem services. Technical indicators selected by researchers focused mostly on soil properties including aggregate stability, soil nutrients, microbial biomass and activity, and leaf nutrients, covering crucial supporting services. The combination of indicators provided complementary information, improving the feasibility of RA impact assessment. This integrated soil quality monitoring system offers a practical tool to enhance knowledge exchange and mutual learning to support the implementation of RA and optimize the delivery of ecosystem services.