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Defence mechanisms: the role of physiology in current and future environmental protection paradigms

机译:防御机制:生理学在当前和未来环境保护范例中的作用

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摘要

Ecological risk assessments principally rely on simplified metrics of organismal sensitivity that do not consider mechanism or biological traits. As such, they are unable to adequately extrapolate from standard laboratory tests to real-world settings, and largely fail to account for the diversity of organisms and environmental variables that occur in natural environments. However, an understanding of how stressors influence organism health can compensate for these limitations. Mechanistic knowledge can be used to account for species differences in basal biological function and variability in environmental factors, including spatial and temporal changes in the chemical, physical and biological milieu. Consequently, physiological understanding of biological function, and how this is altered by stressor exposure, can facilitate proactive, predictive risk assessment. In this perspective article, existing frameworks that utilize physiological knowledge (e.g. biotic ligand models, adverse outcomes pathways and mechanistic effect models), are outlined, and specific examples of how mechanistic understanding has been used to predict risk are highlighted. Future research approaches and data needs for extending the incorporation of physiological information into ecological risk assessments are discussed. Although the review focuses on chemical toxicants in aquatic systems, physical and biological stressors and terrestrial environments are also briefly considered.
机译:生态风险评估主要依靠简化的生物敏感性指标,而不考虑机制或生物学特性。因此,他们无法从标准实验室测试充分推断到实际环境,并且在很大程度上无法解释自然环境中生物的多样性和环境变量。但是,对压力源如何影响生物健康的理解可以弥补这些限制。机械知识可用于解释基础生物学功能的物种差异和环境因素的可变性,包括化学,物理和生物环境的时空变化。因此,对生物学功能的生理理解,以及应激源暴露如何改变生物学功能,可以促进主动,预测性风险评估。在这篇有远见的文章中,概述了利用生理知识的现有框架(例如生物配体模型,不良结局途径和机制效应模型),并重点介绍了如何使用机制理解来预测风险的具体示例。讨论了将生理信息纳入生态风险评估的未来研究方法和数据需求。尽管审查的重点是水生系统中的化学毒物,但也简要考虑了物理和生物胁迫源以及陆地环境。

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