An understanding of soil health is crucial for sustainable food production. However, comprehensive sampling is cost and time intensive. Our study aims to identify correlations and spatial patterns between soil health indicators to inform the design of reduced-intensity sampling schemes. We found significant correlations between microbially active carbon, soil respiration, and organic matter, as well as significant spatial clustering of buffer pH values across both study sites. We additionally identified similar strengths of clustering in water stable aggregates, buffer pH, and nitrate. These results serve as proof-of-concept for the design and implementation of reduced future sampling campaigns.
