Didier L. Baho

TL;DR: An overview of the concepts of stability that are relevant for microbial communities is provided, and thoughts about the unique insights that systems perspectives – informed by meta-omics data – may provide about microbial community stability are concluded.

TL;DR: A systematic assessment of previous microplastic research revealed that most studies have been conducted on single species under laboratory conditions with short-term exposures; few studies were conducted under more realistic long-term field conditions and/or with multi-species assemblages as discussed by the authors.

TL;DR: It is suggested that AEM might be more suitable for assessing dynamics in time series analysis compared to MEM when temporal trends are relevant and the symmetric MEM approach, which ignores the asymmetric nature of time, might be suitable for addressing specific questions about the importance of correlations in fluctuations.

TL;DR: This study assesses community metrics, multivariate community structure and the relative resilience of phytoplankton in limed, acidified and circum-neutral lakes from 1997 to 2009, and demonstrates the potential of time series modeling to assess the efficiency of restoration and management outcomes through quantification of the attributes contributing to resilience in ecosystems.

TL;DR: It is concluded that high temperatures combined with a temperature-mediated water level decrease can counterbalance the negative effects of eutrophic conditions on macrophytes by enhancing the light availability.