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Application of Habitat Suitability Index Values to Modify Exposure Estimates in Characterizing Ecological Risk

机译:生境适宜性指数值在描述生态风险特征中修正接触估计的应用

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摘要

We developed an approach intended to improve the accuracy and relevancy of ecological risk assessments (EcoRA), facilitate communication of decisions, and control overall project costs. An Access~® database containing data for 91 Habitat Suitability Index (HSI) Models species and a Correspondence Matrix, which cross-lists all wildlife species of the US in terms of similar habitat preferences and similar dietary patterns were prepared. An iterative approach was used to: (a) select candidate assessment species; (b) prescribe data collection needs for characterization of habitat quality; (c) generate spatially explicit descriptions of habitat quality for assessment species; and (d) allocate exposure estimates using habitat quality and distributions of chemical concentration. Information from a previous EcoRA conducted for Kennecott Utah Copper was used to evaluate the efficacy of the approach. Vegetation polygons across the 360-km~2 area of the site were generated from infrared aerial photographs. HSI values were calculated for each polygon for selected assessment species. HSI values then were used to modify exposure estimates for selected CoC. Qualitative comparisons of these modified exposure estimates to the findings of the original risk assessment illustrate that the approach would improve the accuracy and relevance of the risk estimates.
机译:我们开发了一种旨在提高生态风险评估(EcoRA)的准确性和相关性,促进决策沟通并控制总体项目成本的方法。准备一个Access〜®数据库,其中包含91个生境适应性指数(HSI)模型物种的数据和一个对应矩阵,该矩阵根据相似的栖息地偏好和相似的饮食习惯交叉列出了美国的所有野生动植物物种。迭代方法用于:(a)选择候选评估物种; (b)规定数据收集需求以表征生境质量; (c)生成评估物种的栖息地质量的空间明确描述; (d)使用栖息地质量和化学浓度分布分配暴露估计。来自先前针对肯纳科特犹他州铜业进行的EcoRA的信息用于评估该方法的有效性。红外航拍照片产生了该地区360 km〜2范围内的植被多边形。为选定评估物种的每个多边形计算HSI值。然后使用HSI值修改所选CoC的暴露估算。这些修改后的暴露估算与原始风险评估结果的定性比较表明,该方法将提高风险估算的准确性和相关性。

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