Kader Mohammed, Lamb Dane T, Wang Liang, Megharaj Mallavarapu, Naidu Ravi
Global Centre for Environmental Research (GCER), Faculty of Science and Information Technology, The University of Newcastle, Advanced Technology Building, Callaghan, NSW, 2308, Australia.
Cooperative Research Centre for Contamination Assessment and Remediation of the Environment (CRC CARE), University of South Australia, Bld X, Mawson Lakes, SA, 5095, Australia.
Ecotoxicology. 2016 Apr;25(3):481-90. doi: 10.1007/s10646-015-1605-7. Epub 2016 Jan 6.
The free ion activity and "biotic ligand" models predict that the free metal ion and other pore-water parameters describe terrestrial phytotoxicity. In this study, pore-water chemistry and measured Cu(2+) was used to describe phytotoxicity of cucumber (Cucumis sativa L) in 10 contrasting soils at different soil Cu loadings. Both soil solution Cu (Cu(pw)) and Cu(2+) successfully described the response variable for all ten soils with R(2) values of 0.73 and 0.66, respectively. Separation of soils as acid and alkaline and fitting separately showed that there was a strongly significant fit for both log Cu(2+) and log Cu(pw) in acidic soils (R(2) = 0.92 and 0.86, respectively) but weakly significant fit for alkaline soils. The pCu EC50 and EC10 values in all acidic soils for cucumber were 5.83 (6.03-5.63) and 7.53 (8.27-7.00), respectively. In our dataset alkaline soils need to be treated individually. In addition, pCu could be predicted based on pH and total concentration alone. Despite only 12 weeks 'ageing' there was quantitative agreement between pCu model from this study and predicted pCu from Sauvé et al. This agreement from studies performed independently indicates that, at least in the case of Cu(2+), the difference in an ageing period of ≥10 years appears minimal.
自由离子活性模型和“生物配体”模型预测,自由金属离子和其他孔隙水参数可描述土壤对植物的毒性。本研究利用孔隙水化学和实测的Cu(2+)来描述不同土壤铜负荷下10种不同土壤中黄瓜(Cucumis sativa L)的植物毒性。土壤溶液中的铜(Cu(pw))和Cu(2+)均成功描述了所有10种土壤的响应变量,R(2)值分别为0.73和0.66。将土壤分为酸性和碱性并分别进行拟合,结果表明,酸性土壤中log Cu(2+)和log Cu(pw)的拟合度都非常显著(R(2)分别为0.92和0.86),而碱性土壤的拟合度较弱。所有酸性土壤中黄瓜的pCu EC50和EC10值分别为5.83(6.03 - 5.63)和7.53(8.27 - 7.00)。在我们的数据集中,碱性土壤需要单独处理。此外,仅根据pH值和总浓度就可以预测pCu。尽管只经过了12周的“老化”,本研究的pCu模型与Sauvé等人预测的pCu之间仍存在定量一致性。独立进行的研究之间的这种一致性表明,至少对于Cu(2+)而言,≥10年的老化期差异似乎很小。