Department of Bioscience, Århus University, Grenåvej 14, 8410 Rønde, Denmark.
Department of Mathematical Sciences, Durham University, South Road, Durham DH1 3LE, United Kingdom.
Sci Total Environ. 2015 Dec 15;537:159-69. doi: 10.1016/j.scitotenv.2015.07.152. Epub 2015 Aug 28.
Pesticides are regulated in Europe and this process includes an environmental risk assessment (ERA) for non-target arthropods (NTA). Traditionally a non-spatial or field trial assessment is used. In this study we exemplify the introduction of a spatial context to the ERA as well as suggest a way in which the results of complex models, necessary for proper inclusion of spatial aspects in the ERA, can be presented and evaluated easily using abundance and occupancy ratios (AOR). We used an agent-based simulation system and an existing model for a widespread carabid beetle (Bembidion lampros), to evaluate the impact of a fictitious highly-toxic pesticide on population density and the distribution of beetles in time and space. Landscape structure and field margin management were evaluated by comparing scenario-based ERAs for the beetle. Source-sink dynamics led to an off-crop impact even when no pesticide was present off-crop. In addition, the impacts increased with multi-year application of the pesticide whereas current ERA considers only maximally one year. These results further indicated a complex interaction between landscape structure and pesticide effect in time, both in-crop and off-crop, indicating the need for NTA ERA to be conducted at landscape- and multi-season temporal-scales. Use of AOR indices to compare ERA outputs facilitated easy comparison of scenarios, allowing simultaneous evaluation of impacts and planning of mitigation measures. The landscape and population ERA approach also demonstrates that there is a potential to change from regulation of a pesticide in isolation, towards the consideration of pesticide management at landscape scales and provision of biodiversity benefits via inclusion and testing of mitigation measures in authorisation procedures.
在欧洲,农药受到监管,这一过程包括对非靶标节肢动物(NTA)进行环境风险评估(ERA)。传统上使用非空间或田间试验评估。在本研究中,我们将空间背景引入 ERA,并提出一种方法,以便轻松地展示和评估复杂模型的结果,这些模型对于在 ERA 中正确纳入空间方面是必要的,可使用丰度和占有比(AOR)来实现。我们使用基于代理的模拟系统和现有的广泛分布的步甲甲虫(Bembidion lampros)模型,评估一种虚构的高毒性农药对种群密度和甲虫在时间和空间上分布的影响。通过比较基于情景的甲虫 ERA,评估了景观结构和田间边缘管理。源-汇动态导致即使在田间没有农药的情况下也会产生作物外影响。此外,随着农药的多年应用,影响会增加,而当前的 ERA 只考虑最多一年。这些结果进一步表明,景观结构和农药效应在时间上存在复杂的相互作用,无论是在作物内还是作物外,表明需要在景观和多季节时间尺度上进行 NTA ERA。使用 AOR 指数比较 ERA 输出,便于比较情景,同时评估影响并规划缓解措施。景观和种群 ERA 方法还表明,有可能从单独监管农药转变为考虑在景观尺度上进行农药管理,并通过在授权程序中纳入和测试缓解措施来提供生物多样性效益。