Multivariate analysis of stress in experimental ecosystems by principal response curves and similarity analysis

摘要: Experiments in microcosms and mesocosms, which can be carried out an advanced tier of risk assessment, usually result large data sets on the dynamics biological communities treated control cosms. Multivariate techniques are accepted tool to evaluate community treatment effects resulting from these complex experiments. In this paper two methods multivariate analysis discussed their merits: 1) canonical ordination technique Principal Response Curves (PRC) 2) similarity indices Bray-Curtis Stander. For this, a microcosm experiment were used simultaneously study impact nutrient loading insecticide application.