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首页> 外文期刊>Aquatic Toxicology >Ecological modelling and toxicity data coupled to assess population recovery of marine amphipod Gammarus locusta: Application to disturbance by chronic exposure to aniline
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Ecological modelling and toxicity data coupled to assess population recovery of marine amphipod Gammarus locusta: Application to disturbance by chronic exposure to aniline

机译:生态模型和毒性数据相结合,以评估海洋两栖类γ球菌种群的恢复:在长期暴露于苯胺引起的干扰中的应用

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A population agent-based model of marine amphipod Gammarus locusta was designed and implemented as a basis for ecological risk assessment of chemical pollutants impairing life-history traits at the individual level. We further used the model to assess the toxic effects of aniline (a priority hazardous and noxious substance, HNS) on amphipod populations using empirically-built dose-response functions derived from a chronic bioassay that we previously performed with this species. We observed a significant toxicant-induced mortality and adverse effects in reproductive performance (reduction of newborn production) in G. locusta at the individual level. Coupling the population model with the toxicological data from the chronic bioassay allowed the projection of the ecological costs associated with exposure to aniline that might occur in wild populations. Model simulations with different scenarios indicated that even low level prolonged exposure to the HNS aniline can have significant long-term impacts on G. locusta population abundance, until the impacted population returns to undisturbed levels. This approach may be a useful complement in ecotoxicological studies of chemical pollution to transfer individual-collected data to ecological-relevant levels. (C) 2015 Elsevier B.V. All rights reserved.
机译:设计并实施了一种基于种群媒介的海洋两栖动物伽马蝗的模型,以此作为对个人层面上损害生命历史特征的化学污染物进行生态风险评估的基础。我们进一步使用该模型通过经验构建的剂量响应函数(从我们之前对该物种进行的慢性生物测定中得出)来评估苯胺(一种重要的有害和有害物质,HNS)对两栖动物的毒性作用。我们在个体水平上观察到了明显的毒物诱导的死亡率和对草地茶的生殖性能(降低新生儿产量)的不利影响。将种群模型与来自慢性生物测定的毒理学数据相结合,可以预测与野生种群中可能发生的苯胺暴露相关的生态成本。在不同情况下的模型模拟表明,即使长时间低水平暴露于HNS苯胺也可能对草地蝗的种群数量产生长期的重大影响,直到受影响的种群恢复到不受干扰的水平为止。这种方法可能是化学污染的生态毒理学研究的有用补充,可以将个人收集的数据转移到与生态相关的水平。 (C)2015 Elsevier B.V.保留所有权利。

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