How to fit nonlinear plant growth models and calculate growth rates: an update for ecologists

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Extreme drought alters competitive dominance within and between tree species in a mixed forest stand (2013, methodology): “Post-drought growth for all F. sylvatica and Q. petraea cohorts was assessed using linear and nonlinear growth models (Paine et al. 2012) fitted to mean BAI chronologies, and with the most appropriate models chosen by evaluation of AIC.”
Prolonged drought changes the bacterial growth response to rewetting (2015, background): “, 2014) and also for describing plant growth (Paine et al., 2012).”
Globally, functional traits are weak predictors of juvenile tree growth, and we do not know why (2015, methodology): “SGR was calculated as the derivative of the function used to predict height, divided by the standard height (Paine et al. 2012).”
Manual for building tree volume and biomass allometric equations: from field measurement to prediction (2012, unknown): “This method is known in the literature as providing “population prediction intervals” (Bolker, 2008; Paine et al., 2012).”
Avoiding fishy growth curves (2013, background): “Growth is one of the most important measurable life-history parameters for individuals and species (Austin et al. 2011; Einum, Forseth & Finstad 2012; Paine et al. 2012).”
Growth–defense tradeoffs for two major anti‐herbivore traits of the common milkweed Asclepias syriaca (2015, background): “The final best model is highlighted in bold.”