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Spatial Avoidance as a Response to Contamination by Aquatic Organisms in Nonforced, Multicompartmented Exposure Systems: A Complementary Approach to the Behavioral Response

机译:空间避免作为对非筹备,多分量暴露系统的水生生物污染的反应:行为反应的互补方法

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The idea that the hazard of contaminants is exclusively related to their toxic effects does not consider the fact that some organisms can avoid contamination, preventing toxicity. Although inferences about avoidance are made in most behavioral ecotoxicology studies, assessment of the real spatial displacement (organisms moving toward another habitat to escape contamination) is difficult due to the type of exposure (confined and mandatory) used in the bioassays: a forced exposure approach. A complementary approach using nonforced exposure systems to assess how contaminants affect the spatial distribution of organisms in a bicompartmented (toxic or nontoxic) environment has long been described. Recently, this nonforced approach has been developed to include a multi compartmented system in which different samples can be simultaneously tested. The aim of the present review was to describe the importance of the nonforced, multicompartmented exposure approach to simulate a gradient or patches of contamination, to describe the 2 main exposure systems, and to highlight the ecological relevance of including spatial avoidance and habitat preference in ecotoxicological studies. The multicompartmentalization of the system makes it possible to simulate more complex scenarios and therefore include new ecological concepts in bioassays. We also contrasted spatial avoidance in the nonforced exposure systems with the behavioral endpoints measured under other exposure systems. Finally, we showed that the nonforced, multicompartmented exposure approach makes it possible 1) to improve environmental risk assessments by adding the dispersion pattern of organisms in a multihabitat scenario, and 2) to integrate ecological concepts such as recolonization of recovering habitats, loss of habitat connectivity, habitat fragmentation, and contamination-driven metapopulation, which have received limited attention in ecotoxicological studies. Environ Toxicol Chem 2019;38:312-320. (c) 2018 SETAC
机译:污染物的危害完全与毒性效应有关的想法并不认为某些生物可以避免污染,预防毒性。虽然在大多数行为生态毒理学研究中进行了关于避免的推论,但由于生物测定中使用的暴露(限制和强制性)的类型:强制暴露方法。利用非裁量暴露系统评估污染物如何影响污染物在双组织(有毒或无毒)环境中如何影响生物体的空间分布的互补方法。最近,已经开发出这种非裁剪方法,包括多隔间系统,其中可以同时测试不同的样品。目前审查的目的是描述非裁剪或污染污染,描述2个主要曝光系统的重要性,并突出包括在生态毒理学中的空间避免和栖息地偏好的生态相关性的生态相关性学习。系统的多组分化使得可以模拟更复杂的场景,因此包括生物测定中的新生态概念。我们在非曝光系统中的非正式曝光系统中的空间避免对比在其他曝光系统下测量的行为终点。最后,我们表明,不可行的,多组合的曝光方法使得能够通过在多地差目方案中添加有机体的分散模式来改善环境风险评估,并将生态概念纳入恢复栖息地的重新调整,栖息地失去连通性,栖息地碎片和污染驱动的比例,在生态毒理学研究中受到有限的关注。环境毒素科学2019; 38:312-320。 (c)2018 Setac

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