The legacy of industrial pollution in estuarine sediments: spatial and temporal variability implications for ecosystem stress.
The legacy of industrial pollution in estuarine sediments: spatial and temporal variability implications for ecosystem stress.
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河口沉积物中工业污染的遗留问题：对生态系统压力的空间和时间变化影响。
DOI：
10.1007/s10653-019-00316-4
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发表时间：
2020
影响因子：
4.2
通讯作者：
Rodgers K
中科院分区：
文献类型：
--
作者：
Rodgers K
人为污染的直接影响是众所周知的公共和环境健康问题，关于这些间接影响的细节也开始出现，例如影响环境微生物组。历史上的人类活动及其相关的污染负担是显著的贡献者。专注于历史上高度工业化的河克莱德，苏格兰，我们调查的空间和时间的贡献，压力/恶劣的环境使用的地球化学框架，例如pH值，EC，总有机碳和潜在的有毒元素：作为，钴，铬，铜，镍，铅和锌和富集指标。定期违反河口系统的沉积物质量标准，我们专注于PTE相关性。多元统计分析（主成分分析）确定了两个主要成分，PC 1：砷，铬，铜，铅和锌，以及PC 2：镍，钴和总有机碳。我们的评估证实了热点在克莱德河口指示本地化的输入。此外，有些地点的变异性很大，表明过度混合。我们证明，工业化地区是动态的环境网站依赖于历史上的人类活动与短期规模的变化。这项工作支持“污染”绘图的发展，以评估历史人为污染的影响，确定特定的“压力源”，可以影响微生物组，忽视河口恢复动态，并可能支持环境中出现的抗菌素耐药性。
The direct impacts of anthropogenic pollution are widely known public and environmental health concerns, and details on the indirect impact of these are starting to emerge, for example affecting the environmental microbiome. Anthropogenic activities throughout history with associated pollution burdens are notable contributors. Focusing on the historically heavily industrialised River Clyde, Scotland, we investigate spatial and temporal contributions to stressful/hostile environments using a geochemical framework, e.g. pH, EC, total organic carbon and potentially toxic elements: As, Co, Cr, Cu, Ni, Pb and Zn and enrichment indicators. With regular breaches of the sediment quality standards in the estuarine system we focused on PTE correlations instead. Multivariate statistical analysis (principle component analysis) identifies two dominant components, PC1: As, Cr, Cu, Pb and Zn, as well as PC2: Ni, Co and total organic carbon. Our assessment confirms hot spots in the Clyde Estuary indicative of localised inputs. In addition, there are sites with high variability indicative of excessive mixing. We demonstrate that industrialised areas are dynamic environmental sites dependant on historical anthropogenic activity with short-scale variation. This work supports the development of ‘contamination’ mapping to enable an assessment of the impact of historical anthropogenic pollution, identifying specific ‘stressors’ that can impact the microbiome, neglecting in estuarine recovery dynamics and potentially supporting the emergence of antimicrobial resistance in the environment.