ArticleiScience2026
Comparing soil-health- and species-based sensitivity distributions for metal risk assessment in Tianjin soils.
Article in iScience, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
Soil contamination threatens ecosystem functioning, while conventional ecological risk assessment (ERA) based on single-species toxicity may not capture system-level responses. We developed a probabilistic soil health sensitivity distribution (SHSD) framework integrating microcosm-derived soil health indicators with joint probability modeling and applied it to Pb, Cu, and Cd risks in Tianjin soils, northern China. SHSD-derived risks were lower than species sensitivity distribution (SSD)-based estimates by 61.90%, 59.55%, and 84.38% for Pb, Cu, and Cd, respectively. Normalizing SSD toxicity data to microcosm soil conditions reduced part of the SSD-SHSD discrepancy, highlighting the influence of soil physicochemical heterogeneity. Observed SHSDs were also shifted rightward relative to additive, non-interactive predictions, indicating lower apparent sensitivity of the integrated microcosm. These findings support SHSD as a higher tier, function-oriented complement to conventional SSDs, while emphasizing the need for independent field validation before regulatory application.
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