Comparing soil-health- and species-based sensitivity distributions for metal risk assessment in Tianjin soils.

IF 4.5 2区综合性期刊 Q1 MULTIDISCIPLINARY SCIENCES

iScience Pub Date : 2026-10-01 eCollection Date: 2026-10-16 DOI:10.1016/j.isci.2026.117644

Qiuyun Xu, Yajuan Shi, Xin Xiong, Li Qian, Liuxuan Fang, Xuan Zhou, Xiuqing Shao

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引用次数: 0

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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天津土壤金属风险评价的土壤健康和物种敏感性分布比较

土壤污染威胁着生态系统的功能，而传统的基于单一物种毒性的生态风险评估（ERA）可能无法捕捉到系统水平的反应。将微观土壤健康指标与联合概率模型相结合，建立了土壤健康敏感性概率分布（SHSD）框架，并将其应用于天津土壤Pb、Cu和Cd风险分析。shsd衍生的Pb、Cu和Cd风险分别比基于物种敏感性分布（SSD）的估计值低61.90%、59.55%和84.38%。将SSD毒性数据归一化到微观土壤条件下，减少了部分SSD- shsd差异，突出了土壤物理化学异质性的影响。观测到的shsd也相对于加性、非交互预测向右偏移，表明综合微观世界的表观敏感性较低。这些研究结果支持SHSD作为传统ssd的更高层次、以功能为导向的补充，同时强调在监管应用之前需要进行独立的现场验证。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

iScience Multidisciplinary-Multidisciplinary

CiteScore

7.20

自引率

1.70%

发文量

1972

审稿时长

6 weeks

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