首页> 外文会议>Symposium on Landscape Ecology and Wildlife Habitat Evaluation: Critical Information for Ecological Risk Assessment, Land-Use Management Activities, and Biodiversity Enhancement >GIS-Based Localization of Impaired Benthic Communities in Chesapeake Bay: Associations with Indicators of Anthropogenic Stress
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GIS-Based Localization of Impaired Benthic Communities in Chesapeake Bay: Associations with Indicators of Anthropogenic Stress

机译:基于GIS基于Chesapeake Bay的底栖社区的定位:与人为应激指标的关联

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Current ecological risk assessment methodologies have limited capacity to account for the spatial heterogeneity in stressors and physical/chemical conditions characteristic of aquatic and estuarine ecosystems. The Shannon-Weaver index was utilized to construct spatial models of benthic macroinvertebrate biodiversity in Chesapeake Bay over several time periods between 1987-2001. These models were subsequently compared to monitoring data for sediment contaminant concentrations and physical/chemical water quality conditions. A series of GIS exercises demonstrated that low values for species diversity were associated with higher concentrations of a diverse array of contaminants as well as physical/chemical water quality conditions. Multivariate regression analysis among a range of contaminant and water quality variables accounted for up to 61% of the observed variation in benthic biodiversity. Collectively, these results demonstrate the numerous challenges for conducting ecologically relevant risk assessments at the ecosystem level, which can be partially ameliorated with quality monitoring data and geographic approaches to environmental assessment.
机译:目前的生态风险评估方法有限的能力有限,可以考虑存在的压力源和水生生态系统的物理/化学条件的空间异质性。 Shannon-Weaver指数用于在1987-2001之间的几个时间段内构建Chesapeake湾的Benthic Macroinvertebrate生物多样性的空间模型。随后将这些模型与监测沉积物污染物浓度和物理/化学水质条件的监测数据进行比较。一系列GIS练习表明,物种多样性的低值与更高浓度的多种污染物阵列以及物理/化学水质条件相关。一系列污染物和水质变量之间的多元回归分析占底栖生物多样性观察到的61%的61%。这些结果集体表明,在生态系统级别对生态相关风险评估进行了许多挑战,可以部分地改善了质量监测数据和环境评估的地理方法。

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