A statistical approach to model soil microbiota versus heavy metals: a case study on soil samples from Foggia, Southern Italy.

ABSTRACT: Heavy-metal (HM) contamination undermines soil functions and food safety, while risk appraisals often rely on chemical indices that can be unstable in the presence of extremes and only indirectly reflect biological integrity. We present an integrative framework that couples standardized contamination metrics with soil microbiome profiling to deliver stable, interpretable classifications and actionable bioindicators. Twelve peri-urban soils from Southern Italy were analysed for potentially toxic elements, including Arsenic (As), Cadmium (Cd), Chromium (Cr), Copper (Cu), Nickel (Ni), Lead (Pb), and Zinc (Zn) and profiled by shotgun metagenomics. We introduce a Standardized Ecological Risk index (SPERI) that preserves the ranking conveyed by conventional composites yet reduces outlier leverag

SUBMITTER: De Santis A 

PROVIDER: S-EPMC12820247 | biostudies-literature | 2025 Dec

REPOSITORIES: biostudies-literature