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Ecological effects of pesticide use in the Netherlands:Modeled and observed effects in the field ditch

机译:荷兰使用农药的生态影响:模拟和观察田间沟渠的影响

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摘要

This study dealing with risks to the aquatic ecosystem imposed by theapplication of pesticides in the Netherlands made use of a novel methodto calculate aquatic exposure to a large variety of pesticides (261 intotal), which is worked out in detail here. Since the entire calculationis founded on GIS-based maps of agricultural land use (51 crops in openculture), it is possible to generate country-wide maps of the results. Through the application of Sensitivity Distributions for aquatic species(SSD), in combination with rules for mixture toxicity calculation, themodeled exposure is transformed to a risk estimate for the speciesassemblage in the aquatic ecosystem. The risk is expressed as theproportion of species likely to be suffering any effect from theexposure. In the summary of the risk maps, the majority of predictedeffects is observed to be caused by the pesticide application practice ingrowing potato crops: 95% of the predicted risk is caused by only 7 ofthe 261 pesticide ingredients. The maximum local risk of pesticide useis estimated to affect about 50% of species. For the purpose ofvalidation, local toxic risk estimates were compared to observed speciescomposition in field ditches using simple statistical methods (regressionanalysis). However, the number of field observations was not sufficientenough to generate quantitative results. The unexplained variability inthe biotic field data collected by a range of non-aligned monitoringnetworks does not allow highly significant conclusions. Nevertheless,there is a weak indication that the predicted risks are associated tobiodiversity changes in field-exposed communities.
机译:这项针对在荷兰使用农药造成的水生生态系统风险的研究利用一种新颖的方法来计算多种农药(共261种农药)对水生生物的暴露,在此进行了详细介绍。由于整个计算都基于基于GIS的农业用地地图(开放式养殖中的51种作物),因此有可能生成全国范围的结果地图。通过应用水生物种敏感度分布(SSD),并结合混合毒性计算规则,将模型暴露量转换为水生生态系统中物种组成的风险估计。风险表示为可能受到暴露影响的物种比例。在风险图的摘要中,观察到的大多数预测影响是由马铃薯田间种植农药的做法造成的:95%的预测风险仅由261种农药成分中的7种引起。据估计,当地使用农药的最大风险影响约50%的物种。为了验证的目的,使用简单的统计方法(回归分析)将当地毒性风险估计值与田间沟渠中观察到的物种组成进行了比较。但是,现场观察的数量不足以产生定量结果。一系列不结盟的监测网络所收集的生物田间数据的无法解释的可变性并不能得出高度重要的结论。然而,有一个微弱的迹象表明,所预测的风险与野外接触社区的生物多样性变化有关。

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    Zwart D de;

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