| Literature DB >> 29860691 |
Ronggui Tang1,2, Changfeng Ding1, Yibing Ma3, Mengxue Wan1,2, Taolin Zhang1, Xingxiang Wang4.
Abstract
To explore the main controlling factors in soil and build a predictive model between the lead concentrations in earthworms (Pbearthworm) and the soil physicochemical parameters, 13 soils with low level of lead contamination were used to conduct toxicity experiments using earthworms. The results indicated that a relatively high bioaccumulation factor appeared in the soils with low pH values. The lead concentrations between earthworms and soils after log transformation had a significantly positive correlation (R2 = 0.46, P < 0.0001, n = 39). Stepwise multiple linear regression analysis derived a fitting empirical model between Pbearthworm and the soil physicochemical properties: log(Pbearthworm) = 0.96log(Pbsoil) - 0.74log(OC) - 0.22pH + 0.95, (R2 = 0.66, n = 39). Furthermore, path analysis confirmed that the Pb concentrations in the soil (Pbsoil), soil pH, and soil organic carbon (OC) were the primary controlling factors of Pbearthworm with high pathway parameters (0.71, - 0.51, and - 0.49, respectively). The predictive model based on Pbearthworm in a nationwide range of soils with low-level lead contamination could provide a reference for the establishment of safety thresholds in Pb-contaminated soils from the perspective of soil-animal systems.Entities:
Keywords: Bioaccumulation factor; Eisenia fetida; Multiple regression model; Path analysis; Pb
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Year: 2018 PMID: 29860691 DOI: 10.1007/s11356-018-2436-x
Source DB: PubMed Journal: Environ Sci Pollut Res Int ISSN: 0944-1344 Impact factor: 4.223