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Spatial modeling of receptor species for ecological risk assessment activities on the Department of Energy's Savannah River Site.

机译:能源部萨凡纳河站点上用于生态风险评估活动的受体物种的空间建模。

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摘要

To assist risk assessors on the Department of Energy's Savannah River Site (SRS), a Geographic Information System (GIS) was developed to provide relevant information about specific receptor species that can be used for ecological risk assessment (ERA). Although this GIS is a useful tool, it is limited in that it can only provide information about a species if it was studied in that particular area and does not describe the site-wide spatial distribution or life history of a receptor species, which may be crucial when developing an ecological impact assessment. The GIS was expanded by modeling wildlife species on the SRS to provide information regarding their over-all distribution (probability of being in an area) and habitat utilization. Each model is a stand-alone tool consisting of algorithms that are applied within a GIS and therefore dynamic enough to respond to stochastic events such as natural and anthropogenic habitat disturbances and/or long-term changes such as natural succession. Spatial analyses suggest toxicant exposure and accumulation risk in relation to the species probability of occurrence in the area. This modeling effort provides the tools that are crucial for the Department of Energy to conduct ERA activities for specific contaminants on the SRS. Further, it serves as a template for DOE managed lands and other large government facilities to establish a framework for site-specific ecological impact assessments that use wildlife species as endpoints. Predictive distribution models for the raccoon (Procyon lotor) and wild hog (Sus scrofa ) are used to demonstrate the construction and utilization of these models to: (1) estimate wildlife toxicant exposure, (2) identify possible contaminant vectors, and (3) construct human-based risk assessments from consuming wild game.
机译:为了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),以提供有关可用于生态风险评估(ERA)的特定受体物种的相关信息。尽管此GIS是有用的工具,但局限性在于它只能提供有关物种的信息(如果在该特定区域进行了研究),并且无法描述受体物种的整个站点的空间分布或生命史,这可能是在进行生态影响评估时至关重要。通过在SRS上对野生生物进行建模来扩展GIS,以提供有关其总体分布(在某个区域内的可能性)和栖息地利用的信息。每个模型都是一个独立的工具,包含在GIS中应用的算法,因此具有足够的动态性,可以响应随机事件,例如自然和人为的栖息地干扰和/或长期变化(例如自然演替)。空间分析表明,毒物暴露和积累风险与该地区发生物种的可能性有关。该建模工作提供了对于能源部进行SRS上特定污染物的ERA活动至关重要的工具。此外,它还作为美国能源部管理的土地和其他大型政府机构的模板,为使用野生生物物种为终点的特定地点的生态影响评估建立了框架。浣熊( Procyon lotor )和野猪( Sus scrofa )的预测分布模型用于证明这些模型的构建和利用,以:(1)估算野生动植物有毒物质暴露,(2)识别可能的污染物载体,以及(3)通过食用野生野味来构建基于人的风险评估。

著录项

  • 作者

    Gaines, Karen Frances.;

  • 作者单位

    University of South Carolina.;

  • 授予单位 University of South Carolina.;
  • 学科 Health Sciences Public Health.; Biology Ecology.; Remote Sensing.; Agriculture Forestry and Wildlife.
  • 学位 Ph.D.
  • 年度 2003
  • 页码 p.1204
  • 总页数 176
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 预防医学、卫生学;
  • 关键词

  • 入库时间 2022-08-17 11:45:56

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