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Using Wildlife as Receptor Species: A Landscape Approach to Ecological Risk Assessment

机译:以野生动物为受体物种:生态风险评估的景观方法

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摘要

To assist risk assessors at the Department of Energy's Savannah River Site (SRS), a Geographic Information System (GIS) application was developed to provide relevant information about specific receptor species of resident wildlife that can be used for ecological risk assessment. Information was obtained from an extensive literature review of publications and reports on vertebrate- and contaminant-related research since 1954 and linked to a GIS, Although this GIS is a useful tool for risk assessors because the data quality is high, it does not describe the species' site-wide spatial distribution or life history, which may be crucial when developing a risk assessment. Specific receptor species on the SRS were modeled to provide an estimate of an overall distribution (probability of being in an area). Each model is a stand-alone tool consisting of algorithms independent of the GIS data layers to which it is applied and therefore is dynamic and will respond to changes such as habitat disturbances and natural succession. This paper describes this modeling process and demonstrates how these resource selection models can then be used to produce spatially explicit exposure estimates. This approach is a template for other large federal facilities to establish a framework for site-specific risk assessments that use wildlife species as endpoints.
机译:为协助能源部萨凡纳河站点(SRS)的风险评估人员,开发了地理信息系统(GIS)应用程序,以提供有关可用于生态风险评估的常驻野生动物特定受体物种的相关信息。信息是从1954年以来有关脊椎动物和污染物相关研究的出版物和报告的大量文献综述中获得的,并与GIS相关联。尽管此GIS对于风险评估人员而言是有用的工具,因为其数据质量很高,但并未描述物种的整个空间分布或生活史,这在制定风险评估时可能至关重要。对SRS上的特定受体物种进行建模,以提供总体分布(在某个区域内的概率)的估计值。每个模型都是独立的工具,由独立于所应用的GIS数据层的算法组成,因此是动态的,并且会响应诸如栖息地干扰和自然演替之类的变化。本文介绍了此建模过程,并演示了如何将这些资源选择模型用于产生空间明确的暴露估计。此方法是其他大型联邦机构为以野生生物物种为终点的特定地点风险评估建立框架的模板。

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