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An approach for mapping the vulnerability of European Union soils to antibiotic contamination

机译:绘制欧盟土壤对抗生素污染的脆弱性的方法

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摘要

Release of antibiotics into the environment through the agricultural reuse of animal manure is considered a cause of chronic environmental exposure that often leads to adverse ecotoxicological effects, as well as to the introduction of antibiotic-resistant bacteria into the environment. The vulnerability of soil to antibiotic contamination plays a major role in determining the extent of the con tamination and the likelihood of the emergence of antibiotic resistance and the appearance of ecotoxicolog ical effects. It depends on soil characteristics, which vary across Europe, and antibiotic characteristics, which vary across drug classes. Understanding how soil vulnerability varies geographically for different veterinary medicinal products would be very useful for resource allocation among surveillance programmes. This paper performs risk analysis of the EU region for 12 antimicrobials using a spatial assessment performed in four steps. First, antibiotic release was estimated based on livestock density. Then exposure was estimated based on antimicrobial soil contamination. Third, consequences were modelled based on soil uses. Finally, risk was estimated by combining release, exposure and consequences using spatial multicriteria decision analysis. A final risk value for soil vulnerability was calculated for each antibiotic studied and displayed in chloropletic maps (ArcGIS 9.3). Furthermore, the Getis-Ord Gi statistic was used to identify clusters of areas at high risk for antibiotic soil contamination. Enrofloxacin was the highest-risk antibiotic in the Europ an Union, followed by tetracyclines, tylosin and sulfodiazine. The highest risk values were found in Belgium, Ireland, Netherlands, Switzerland, Denmark, Germany and the UK. The results suggest that this methodology can be used successfully for evaluating the contamination potential of antibiotics over large areas with lim ited input data. This work is a preliminary step towards prioritising the use of veterinary medicinal products (VMPs), orientating monitoring studies and antimicrobial surveillance programmes, and informing sustainable decision-making for interventions designed to mitigate the risk of VMPs.
机译:通过农业上对动物粪便的再利用将抗生素释放到环境中被认为是长期暴露于环境中的原因,这经常导致不利的生态毒理作用,以及将耐药性细菌引入环境。土壤对抗生素污染的脆弱性在确定污染程度,出现抗生素抗药性的可能性以及生态毒理作用的出现方面起着重要作用。它取决于土壤特性(随欧洲而异)和抗生素特性(随药物类别而异)。对于不同的兽药,了解土壤脆弱性在地理上如何变化对于监测计划之间的资源分配将非常有用。本文使用四个步骤进行的空间评估,对欧盟地区的12种抗菌素进行了风险分析。首先,根据牲畜密度估算抗生素释放量。然后根据抗菌性土壤污染情况估计接触量。第三,根据土壤用途对后果进行建模。最后,通过使用空间多准则决策分析结合释放,暴露和后果来评估风险。计算出每种抗生素的土壤脆弱性最终风险值,并显示在叶绿素分布图上(ArcGIS 9.3)。此外,Getis-Ord Gi统计量用于确定抗生素土壤污染高风险区域的集群。恩诺沙星是欧洲联盟中风险最高的抗生素,其次是四环素,泰乐菌素和磺胺嘧啶。在比利时,爱尔兰,荷兰,瑞士,丹麦,德国和英国发现最高风险值。结果表明,使用有限的输入数据,该方法可成功用于评估大面积抗生素的潜在污染。这项工作是朝着优先使用兽药产品,确定监测研究和抗菌药物监测计划,为旨在减轻VMPs风险的干预措施提供可持续决策的方向迈出的第一步。

著录项

  • 来源
    《Science of the total environment》 |2012年第1期|p.672-679|共8页
  • 作者单位

    Centro de Investigation en Sanidad Animal, Institute National de Investigation y Tecnologia Agraria y Alimentaria (CISA-INIA), Carretera de Algete a El Casar, 28130,Valdeolmos, Madrid, Spain;

    Centro de Investigation en Sanidad Animal, Institute National de Investigation y Tecnologia Agraria y Alimentaria (CISA-INIA), Carretera de Algete a El Casar, 28130,Valdeolmos, Madrid, Spain;

    Centro de Investigation en Sanidad Animal, Institute National de Investigation y Tecnologia Agraria y Alimentaria (CISA-INIA), Carretera de Algete a El Casar, 28130,Valdeolmos, Madrid, Spain;

    Centro de Investigation en Sanidad Animal, Institute National de Investigation y Tecnologia Agraria y Alimentaria (CISA-INIA), Carretera de Algete a El Casar, 28130,Valdeolmos, Madrid, Spain;

    Centro de Investigation en Sanidad Animal, Institute National de Investigation y Tecnologia Agraria y Alimentaria (CISA-INIA), Carretera de Algete a El Casar, 28130,Valdeolmos, Madrid, Spain;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    antibiotic; soil contamination; vulnerability mapping; european soils;

    机译:抗生素;土壤污染;漏洞映射;欧洲土壤;

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