Integral projection models for populations in temporally varying environments

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Size‐dependent flowering and costs of reproduction affect population dynamics in a tuberous perennial woodland orchid (2010, background): “With those new databases for the four populations all vital rate regression models were fitted anew to build new IPMs for the light and shade environments.”
Interdependent effects of habitat quality and climate on population growth of an endangered plant (2011, methodology): “Stochasticity was included in this IPM as the yearly variation of intercept and slopes quantified by random effects in the regression models (cf. Rees & Ellner 2009).”
Evolutionary changes in plant reproductive traits following habitat fragmentation and their consequences for population fitness (2012, background): “Rees & Ellner (2009) recently provided a very thorough outline of how to apply IPMs to stochastic environments using amixedmodels framework.”