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Comparison of different toxic effect sub-models in ecosystem modelling used for ecological effect assessments and water quality standard setting

机译:用于生态效应评估和水质标准制定的生态系统建模中不同毒性效应子模型的比较

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摘要

Ecosystem models, combining a food web model with a toxic effect sub-model, have been proposed to incorporate ecological interactions in ecological effect assessments. Toxic effect sub-models in different studies tend to differ in (1) the used single-species toxicity data, (2) the effects they consider, (3) the concentration-effect function used. In this paper, we constructed four ecosystem models, each with a different toxic effect sub-model, and tested their capacity to predict biomass changes, and no observed effect concentrations (NOECs) established in an experimental microcosm. For most populations, these predictions depended heavily on the type of ecosystem model. The ecosystem model with a toxic effect sub-model incorporating mortality effects using a logistic concentration-effect function made accurate predictions for most populations. Additional incorporation of sub-lethal effects did not result in better predictions. Ecosystem models using linear concentration-effect functions predict biomass decreases at concentrations that are four times lower than the observed NOECs.
机译:已经提出了将食物网模型与毒性效应子模型相结合的生态系统模型,以将生态相互作用纳入生态效应评估中。不同研究中的毒性作用子模型在以下方面趋于不同:(1)使用的单一物种毒性数据;(2)他们考虑的作用;(3)使用的浓度效应函数。在本文中,我们构建了四个生态系统模型,每个模型具有不同的毒性作用子模型,并测试了它们预测生物量变化的能力,并且在实验微观世界中未建立观察到的作用浓度(NOEC)。对于大多数人口而言,这些预测在很大程度上取决于生态系统模型的类型。具有毒性效应子模型的生态系统模型结合了对数浓度效应函数的死亡率效应,对大多数人群做出了准确的预测。次致命效应的额外合并并没有导致更好的预测。使用线性浓度效应函数的生态系统模型预测生物量的减少量要比观测到的NOEC低四倍。

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