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GIS-Based Localization of Impaired Benthic Communities in Chesapeake Bay: Associations with Indicators of Anthropogenic Stress

机译:切萨皮克湾基于GIS的受损底栖动物群落的本地化:与人为压力指标的关联

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摘要

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:当前的生态风险评估方法在解释应激源的空间异质性以及水生和河口生态系统特征的物理/化学条件方面的能力有限。 Shannon-Weaver指数被用来构建切萨皮克湾底栖大型无脊椎动物生物多样性在1987-2001年之间的多个时间间隔模型。随后将这些模型与沉积物污染物浓度和物理/化学水质状况的监测数据进行比较。一系列的GIS演算表明,物种多样性的低值与各种污染物的较高浓度以及物理/化学水质状况有关。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变化的61%。总的来说,这些结果证明了在生态系统一级进行与生态相关的风险评估所面临的众多挑战,可以通过质量监测数据和环境评估的地理方法来部分缓解这些挑战。

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