LEAF, Linking Landscape, Environment, Agriculture and Food, Instituto Superior de Agronomia, Universidade de Lisboa, Tapada da Ajuda, Lisbon, Portugal.
MARE, Marine and Environmental Sciences Centre, Faculdade de Ciências, Universidade de Lisboa, Lisbon, Portugal.
Ecotoxicology. 2018 Aug;27(6):661-674. doi: 10.1007/s10646-018-1944-2. Epub 2018 Jun 16.
Studies addressing the predicted effects of pesticides in combination with abiotic and biotic factors on aquatic biota in ditches associated with typical Mediterranean agroecosystems are scarce. The current study aimed to evaluate the predicted effects of pesticides along with environmental factors and biota interactions on macroinvertebrate, zooplankton and phytoplankton community compositions in ditches adjacent to Portuguese maize and tomato crop areas. Data was analysed with the variance partitioning procedure based on redundancy analysis (RDA). The total variance in biological community composition was divided into the variance explained by the multi-substance potentially affected fraction [(msPAF) arthropods and primary producers], environmental factors (water chemistry parameters), biotic interactions, shared variance, and unexplained variance. The total explained variance reached 39.4% and the largest proportion of this explained variance was attributed to msPAF (23.7%). When each group (phytoplankton, zooplankton and macroinvertebrates) was analysed separately, biota interactions and environmental factors explained the largest proportion of variance. Results of this study indicate that besides the presence of pesticide mixtures, environmental factors and biotic interactions also considerably influence field freshwater communities. Subsequently, to increase our understanding of the risk of pesticide mixtures on ecosystem communities in edge-of-field water bodies, variations in environmental and biological factors should also be considered.
针对与典型地中海农业生态系统相关的沟渠中,与非生物和生物因素相结合的农药对水生生物群的预测影响的研究很少。本研究旨在评估农药与环境因素以及生物群相互作用对毗邻葡萄牙玉米和番茄种植区沟渠中的大型无脊椎动物、浮游动物和浮游植物群落组成的预测影响。数据分析采用基于冗余分析(RDA)的方差分解程序。生物群落组成的总方差分为多物质潜在影响分数[(msPAF)节肢动物和初级生产者]、环境因素(水化学参数)、生物相互作用、共享方差和未解释方差解释的方差。总解释方差达到 39.4%,其中 msPAF(23.7%)解释了最大比例的方差。当分别分析每个组(浮游植物、浮游动物和大型无脊椎动物)时,生物群相互作用和环境因素解释了最大比例的方差。本研究结果表明,除了存在农药混合物外,环境因素和生物群相互作用也会极大地影响野外淡水群落。因此,为了提高我们对田间水体中农药混合物对生态系统群落风险的理解,还应考虑环境和生物因素的变化。