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农业溪流中农药混合物对藻类的毒性 - 现场观察和实验室研究,使用原位样品和重组水。

Pesticide mixture toxicity to algae in agricultural streams - Field observations and laboratory studies with in situ samples and reconstituted water.

机构信息

Department of Aquatic Sciences and Assessment, Swedish University of Agricultural Sciences, Box 7050, SE-750 07 Uppsala, Sweden.

Department of Aquatic Sciences and Assessment, Swedish University of Agricultural Sciences, Box 7050, SE-750 07 Uppsala, Sweden.

出版信息

Ecotoxicol Environ Saf. 2021 Jun 1;215:112153. doi: 10.1016/j.ecoenv.2021.112153. Epub 2021 Mar 24.

Abstract

Long-term pesticide water concentrations were investigated in four agricultural streams and their mixture toxicity on algae was assessed, based on realistic (i.e. observed) concentrations in laboratory tests using (i) natural weekly water samples and (ii) reconstituted pesticide-spiked water samples representing mixtures with predicted high mixture. This approach both covered the full complexity of natural water samples and the controlled approach of reconstituted water samples. Long-term monitoring data (time-integrated, weekly samples) revealed more than 11 pesticides (range 11.0 ± 0.25-24.0 ± 0.44) in 75% or more of the almost 1600 samples collected between 2002 and 2018. ∑TU exceeded 0.1 for 29 observations (or 1.8%). Despite the multitude of pesticides in a sample, ∑TU was frequently set by one or a few dominating pesticides that contribute to more than 90% of the mixture's toxicity. Algal growth inhibition tests with in situ stream water showed a high frequency of inhibition, despite the low ∑TU for most of these samples (range 0.000014-0.3858). These "false positive" results were attributed to confounding effects of turbidity, the complexation of nutrients, and toxic effects of metals and/or other unknown contaminants. Algal inhibition tests with spiked reconstituted water showed significant inhibitory effects in the range of 1-10x the ∑TU observed in worst-case field samples. Although these tests disregard the chemical complexity of natural water, they show that inhibitory effects of pesticides on algae may occur at the ∑TU observed in monitoring. Furthermore, considering that the ∑TU of stream water are based on weekly average concentrations and likely underestimate short-term peak concentrations of pesticides, these results strongly suggest that inhibitory effects on algae may occur in the agricultural streams of southern Sweden. We conjecture, however, that the rapid recovery of algae contributes to ameliorate these short-term effects and that pesticide contamination should be seen as one of many stressors in the streams that drain agricultural landscapes.

摘要

对四个农业溪流中的长期农药水浓度进行了调查,并基于实验室测试中的实际(即观察到的)浓度评估了它们对藻类的混合物毒性,实验室测试中使用了 (i) 天然每周水样和 (ii) 再构成的农药加标水样,这些水样代表了具有高混合预测的混合物。这种方法既涵盖了天然水样的全部复杂性,又涵盖了再构成水样的控制性方法。长期监测数据(时间积分、每周样本)显示,在 2002 年至 2018 年期间收集的近 1600 个样本中,有超过 11 种农药(范围为 11.0 ± 0.25-24.0 ± 0.44)在 75%或更多的样本中被发现。∑TU 超过 0.1 的有 29 次观测(或 1.8%)。尽管样品中有多种农药,但∑TU 经常由一种或几种占主导地位的农药设定,这些农药对混合物毒性的贡献超过 90%。用原位溪流水样进行藻类生长抑制试验显示,尽管这些样本中的大多数∑TU 都很低(范围为 0.000014-0.3858),但抑制的频率很高。这些“假阳性”结果归因于浊度的混杂效应、养分的络合作用以及金属和/或其他未知污染物的毒性效应。用加标再构成水进行的藻类抑制试验显示,在最坏情况下的田间样本中观察到的∑TU 的 1-10 倍范围内存在显著的抑制作用。尽管这些试验忽略了天然水的化学复杂性,但它们表明,农药对藻类的抑制作用可能发生在监测中观察到的∑TU 下。此外,考虑到溪流水中的∑TU 是基于每周的平均浓度,并且可能低估了农药的短期峰值浓度,这些结果强烈表明,藻类在瑞典南部的农业溪流中可能会受到抑制作用。然而,我们推测,藻类的快速恢复有助于减轻这些短期影响,并且应该将农药污染视为农业景观排水溪流中的众多压力源之一。

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