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田间条件下无脊椎动物农药负担的系统性低估:比较饮食摄入和水生暴露动态的影响

Systematic Underestimation of Pesticide Burden for Invertebrates under Field Conditions: Comparing the Influence of Dietary Uptake and Aquatic Exposure Dynamics.

作者信息

Lauper Benedikt B, Anthamatten Eva, Raths Johannes, Arlos Maricor, Hollender Juliane

机构信息

Department of Environmental Chemistry, Eawag, 8600 Dübendorf, Switzerland.

Institute of Biogeochemistry and Pollutant Dynamics, ETH Zürich, 8092 Zürich, Switzerland.

出版信息

ACS Environ Au. 2021 Dec 9;2(2):166-175. doi: 10.1021/acsenvironau.1c00023. eCollection 2022 Mar 16.

Abstract

Pesticides used in agriculture can end up in nearby streams and can have a negative impact on nontarget organisms such as aquatic invertebrates. During registration, bioaccumulation potential is often investigated using laboratory tests only. Recent studies showed that the magnitude of bioaccumulation in the field substantially differs from laboratory conditions. To investigate this discrepancy, we conducted a field bioaccumulation study in a stream known to receive pollutant loadings from agriculture. Our work incorporates measurements of stream pesticide concentrations at high temporal resolution (every 20 min), as well as sediment, leaves, and caged gammarid analyses (every 2-24 h) over several weeks. Of 49 investigated pesticides, 14 were detected in gammarids with highly variable concentrations of up to 140 ± 28 ng/g. Toxicokinetic modeling using laboratory-derived uptake and depuration rate constants for azoxystrobin, cyprodinil, and fluopyram showed that despite the highly resolved water concentrations measured, the pesticide burden on gammarids remains underestimated by a factor of 1.9 ± 0.1 to 31 ± 3.0, with the highest underestimations occurring after rain events. Including dietary uptake from polluted detritus leaves and sediment in the model explained this underestimation only to a minor proportion. However, suspended solids analyzed during rain events had high pesticide concentrations, and uptake from them could partially explain the underestimation after rain events. Additional comparison between the measured and modeled data showed that the pesticide depuration in gammarids is slower in the field. This observation suggests that several unknown mechanisms may play a role, including lowered enzyme expression and mixture effects. Thus, it is important to conduct such retrospective risk assessments based on field investigations and adapt the registration accordingly.

摘要

农业中使用的农药最终可能会进入附近的溪流,并对非目标生物(如水生无脊椎动物)产生负面影响。在注册过程中,生物累积潜力通常仅通过实验室测试进行研究。最近的研究表明,田间生物累积的程度与实验室条件有很大差异。为了研究这种差异,我们在一条已知接收农业污染物排放的溪流中进行了一项田间生物累积研究。我们的工作包括在数周内以高时间分辨率(每20分钟)测量溪流中的农药浓度,以及对沉积物、树叶和笼养的钩虾进行分析(每2 - 24小时一次)。在49种被调查的农药中,有14种在钩虾中被检测到,其浓度变化很大,最高可达140±28纳克/克。使用实验室得出的嘧菌酯、嘧菌环胺和氟吡菌酰胺的摄取和净化速率常数进行的毒物动力学建模表明,尽管测量的水体浓度分辨率很高,但钩虾身上的农药负荷仍被低估了1.9±0.1至31±3.0倍,在降雨事件后低估程度最高。在模型中纳入从受污染的碎屑树叶和沉积物中的饮食摄取,只能部分解释这种低估。然而,降雨事件期间分析的悬浮固体中农药浓度很高,从它们那里的摄取可以部分解释降雨事件后的低估情况。实测数据与模型数据的进一步比较表明,钩虾在田间的农药净化速度较慢。这一观察结果表明,可能有几种未知机制在起作用,包括酶表达降低和混合效应。因此,基于田间调查进行此类回顾性风险评估并相应调整注册非常重要。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2f2a/10114668/9d0e53f80da7/vg1c00023_0002.jpg

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