Chow R, Scheidegger R, Doppler T, Dietzel A, Fenicia F, Stamm C
Swiss Federal Institute of Aquatic Science and Technology (eawag), 8600 Dübendorf, Switzerland.
VSA, Swiss Water Association, 8152 Glattbrugg, Switzerland.
Water Res X. 2020 Sep 6;9:100064. doi: 10.1016/j.wroa.2020.100064. eCollection 2020 Dec 1.
Aquatic pesticide pollution from both agricultural and urban pest control is a concern in many parts of the world. Making an accurate assessment of pesticide exposure is the starting point to protecting aquatic ecosystems. This in turn requires the design of an effective monitoring program. Monitoring is also essential to evaluate the efficacy of mitigation measures aimed to curb pesticide pollution. However, empirical evidence for their efficacy can be confounded by additional influencing factors, most prominently variable weather conditions. This review summarizes the experiences gained from long-term (>5 years) pesticide monitoring studies for detecting trends and provides recommendations for their improvement. We reviewed articles published in the scientific literature, with a few complements from selected grey literature, for a total of 20 studies which fulfill our search criteria. Overall, temporal trends of pesticide use and hydrological conditions were the two most common factors influencing aquatic pesticide pollution. Eighteen studies demonstrated observable effects to surface water concentrations from changes in pesticide application rates (e.g., use restriction) and sixteen studies from interannual variability in hydrological conditions during the application period. Accounting for seasonal- and streamflow-related variability in trend analysis is important because the two factors can obscure trends caused by changes in pesticide use or management practices. Other mitigation measures (e.g., buffer strips) were only detectable in four studies where concentrations or loads were reduced by > 45%. Collecting additional agricultural (e.g., pesticide use, mitigation measures) and environmental (e.g., precipitation, stream flow) data, as well as establishing a baseline before the implementation of mitigation measures have been consistently reported as prerequisites to interpret water quality trends from long-term monitoring studies, but have rarely been implemented in the past.
农业和城市害虫防治产生的水生农药污染是世界许多地区关注的问题。准确评估农药暴露情况是保护水生生态系统的起点。这反过来又需要设计一个有效的监测计划。监测对于评估旨在遏制农药污染的缓解措施的效果也至关重要。然而,这些措施效果的实证证据可能会被其他影响因素混淆,最显著的是多变的天气条件。本综述总结了长期(>5年)农药监测研究在检测趋势方面获得的经验,并为改进这些研究提供了建议。我们查阅了科学文献中发表的文章,并从选定的灰色文献中进行了一些补充,共20项研究符合我们的检索标准。总体而言,农药使用的时间趋势和水文条件是影响水生农药污染的两个最常见因素。18项研究表明,农药施用量变化(如使用限制)对地表水浓度有明显影响,16项研究表明,施用期水文条件的年际变化对地表水浓度有明显影响。在趋势分析中考虑与季节和流量相关的变异性很重要,因为这两个因素可能会掩盖农药使用或管理实践变化导致的趋势。其他缓解措施(如缓冲带)仅在4项研究中可检测到,其中浓度或负荷降低了>45%。收集更多农业(如农药使用、缓解措施)和环境(如降水、流量)数据,以及在实施缓解措施之前建立基线,一直被报告为从长期监测研究中解释水质趋势的先决条件,但过去很少实施。