我国15种典型土壤中菲对白符跳的毒性阈值及其预测模型

Toxicity Threshold and Prediction Model of Phenanthrene to Folsomia candida in 15 Typical Soils in China

  • 摘要: 为了确定我国土壤中菲(Phe)对白符跳(Folsomia candida)的毒性阈值并建立其预测模型,以外源添加的方式研究了我国15种典型土壤中Phe对白符跳存活率与繁殖率的影响. 结果表明:①白符跳繁殖率对Phe毒害的敏感性远高于存活率,基于混合有机溶剂(正己烷与丙酮的体积比为1∶1)提取的Phe实测值推导的繁殖率的EC50(半数效应浓度)范围为21.09~99.50 mg/kg,不同土壤中的EC50最大值是最小值的4.72倍;基于HPCD(羟丙基-β-环糊精)提取的Phe实测值推导的繁殖率的EC50范围为18.31~48.26 mg/kg,不同土壤中的EC50最大值是最小值的2.63倍. ②对白符跳繁殖的EC50与土壤理化性质进行Pearson相关性分析表明,EC50与土壤有机质含量、黏土颗粒占比均呈显著正相关,相关系数分别为0.923、0.656;与土壤pH呈显著负相关,相关系数为−0.590. ③利用多元逐步回归分析方法对白符跳繁殖的EC50及土壤理化性质进行分析,发现土壤有机质含量可以很好地解释不同土壤中白符跳繁殖的EC50值之间的差异,故利用土壤有机质含量建立了白符跳繁殖的EC50值预测模型—lg(EC50)=1.436+0.012OM(OM表示土壤有机质含量). 该毒性预测模型显示,土壤有机质含量是影响不同土壤中Phe对白符跳繁殖的EC50毒性差异的最重要的单一因素,可解释不同土壤中EC50值84.0%的差异.

     

    Abstract: In order to determine the toxicity threshold of phenanthrene (Phe) to Folsomia canadida in Chinese soils and to establish a prediction model for Phe toxicity, we investigated the effects of exogenous Phe on the survival and reproduction of the model organism Folsomia candida in 15 typical soils. The results showed that the sensitivity of survival to Phe toxicity was much lower than that of reproduction. The EC50 (half effect concentration) of the reproduction rate derived from the Phe value of mixed organic solvent (1:1 volume mixture of n-hexane and acetone) extraction ranged from 21.09 mg/kg to 99.50 mg/kg with a difference of 4.72 times. The EC50 of the reproduction rate derived from the Phe value of mild HPCD (Hydroxypropyl- β- Cyclodextrin) extraction ranged from 18.31 mg/kg to 48.26 mg/kg with a difference of 2.63 times. Furthermore, pearson correlation analysis revealed that the EC50 values based on the Phe values of organic solvent extraction were significantly correlated with soil organic matter and soil clay, with the correlation coefficients of 0.923 and 0.656, respectively. The EC50 values were significantly negatively correlated with soil pH, with the correlation coefficients of −0.590. For the Phe toxicity thresholds for reproduction, we developed a prediction model lg(EC50)=1.436+0.012OM based on soil organic matter using multiple stepwise regression analysis. The toxicity prediction model shows that the content of Soil organic matter is the most important single factor affecting the difference in the toxicity of Phe to the EC50 in different soils, which can explain 84.0% of the difference in the EC50 value in different soils.

     

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