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首页> 外文期刊>Annals of the ICRP >Establishing relationships between environmental exposures to radionuclides and the consequences for wildlife: inferences and weight of evidence
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Establishing relationships between environmental exposures to radionuclides and the consequences for wildlife: inferences and weight of evidence

机译：在放射性核素的环境暴露与对野生生物的影响之间建立联系：推断和证据权重

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摘要

Ecological risk assessments for radioactive substances are based on a number of inference rules to compensate for knowledge gaps, and generally require the implementation of a weight-of-evidence approach. Until recently, dose (rate)-response relationships used to derive radioprotection criteria for wildlife have mainly relied on laboratory studies from a limited number of species as representatives of biodiversity. There is no doubt that additional knowledge, combined with advanced conceptual and mathematical approaches, is needed to develop general rules and increase confidence when extrapolating from test species to complex biological/ecological systems. Moreover, field data sets based on robust sampling strategies are still needed to validate benchmark values derived from controlled laboratory tests, and to indicate potential indirect ecological effects, if any. This paper illustrates, through several examples, the need for implementing a combined laboratory-field-model approach to obtain science-based benchmark doses (or dose rates) (e.g. screening benchmarks for ecological risk assessments or derived consideration reference levels), based on robust meta-analysis of dose-effect relationships covering ecologically relevant exposure time scales, species, and endpoints.
机译：放射性物质的生态风险评估基于许多推断规则，以弥补知识差距，并且通常要求实施证据权重法。直到最近，用于得出野生动植物放射防护标准的剂量（速率）-反应关系主要依赖于有限物种作为生物多样性代表的实验室研究。毫无疑问，当从测试物种外推到复杂的生物/生态系统时，需要额外的知识以及先进的概念和数学方法来制定一般规则并增加置信度。此外，仍需要基于可靠采样策略的现场数据集来验证源自受控实验室测试的基准值，并指出潜在的间接生态影响（如果有）。本文通过几个例子说明，需要基于稳健性，采用组合的实验室-现场模型方法来获得基于科学的基准剂量（或剂量率）（例如，筛选用于生态风险评估的基准或得出的考虑参考水平）剂量效应关系的荟萃分析涵盖了与生态相关的暴露时间尺度，物种和终点。

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