Multiple stressors affect freshwater systems worldwide. Ecotoxicological studies are often focused on the abundance analysis of their communities. In this study, I discuss the possibility of incorporating correlation networks to earlier bring to light the possible hidden effects of environmental stressors on community interactions. A re-analysis of the published data from an experiment where the herbicides glyphosate, 2,4-D and their mixtures were applied in microcosms revealed that correlation networks can detect impacts on the community interactions at herbicide concentrations lower than those in which abundances were drastically modified. I propose the correlation of abundances network analysis (CANA) as a new approach for ecotoxicological freshwater community studies.

中文翻译：

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通过丰度网络分析的相关性，可以在较低浓度下揭示环境压力源对淡水群落的隐藏影响：以除草剂草甘膦、2,4-D 及其混合物为例

多种压力源影响着全世界的淡水系统。生态毒理学研究通常侧重于对其群落的丰度分析。在这项研究中，我讨论了结合相关网络以更早地揭示环境压力源对社区互动的可能隐藏影响的可能性。对在微观世界中应用除草剂草甘膦、2,4-D 及其混合物的实验的已发表数据的重新分析表明，相关网络可以检测除草剂浓度低于丰度显着的除草剂浓度对群落相互作用的影响修改的。我建议将丰度网络分析（CANA）的相关性作为生态毒理学淡水群落研究的新方法。