B. J. Burgess

multiplestressR: An R package to analyse factorial multiple stressor data using the additive and multiplicative null models

The paper introduces multiplestressR, an R package for analyzing multiple stressor data using additive and multiplicative null models to classify stressor interactions.

Are experiment sample sizes adequate to detect biologically important interactions between multiple stressors?

The paper shows small sample sizes in stressor interaction experiments fail to detect non-additive effects, recommending larger sample sizes and better definitions of biologically meaningful interactions.

Ecological theory predicts ecosystem stressor interactions in freshwater ecosystems, but highlights the strengths and weaknesses of the additive null model

The paper uses ecological theory and food web models to predict stressor interactions in freshwater ecosystems, finding additive interactions are most frequent but sampling limitations may mask non-additive effects.