Brian S. Cade

TL;DR: The authors proposed regression quantiles, which extend the concept of one-sample quantiles to the linear model by solving an optimization problem and provide estimates for linear models fit to any part of a response distribution, including near the upper bounds.

TL;DR: Three flawed practices associated with model averaging coefficients for predictor variables in regression models commonly occur when making multimodel inferences in analyses of ecological data and ought to be discontinued if the authors are to make effective scientific contributions to ecological knowledge and conservation of natural resources.

TL;DR: An overall log-linear reduction of average aboveground biomass with loss of species is found, leading to what the accompanying paper describes as a “log-linear decline in plant productivity.”

TL;DR: It is demonstrated here that negative relationships between N deposition and species richness are common, albeit not universal, and that fine-scale processes can moderate vegetation responses to N deposition.