Comprar Mixed Effects Models and Extensions in Ecology with R | Zuur, Alain F. | 9780387874579 | Springer

By A. Zuur, E. Ieno, N. Walker, A. Saveliev, Graham M. Smith. 2009

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Targeted vertebrate surveys enhance the faunal importance and improve explanatory models within the Eastern Arc Mountains of Kenya and Tanzania (2014, methodology): “We then fitted each response variable with the explanatory variables using GLM with Poisson error distribution and logarithmic link function (Zuur et al., 2009).”
Factors influencing epiphytic bryophyte and lichen species richness at different spatial scales in managed temperate forests (2012, methodology): “207 At tree level, species richness of bryophytes and lichens were analyzed by general linear 208 mixed models (Zuur et al. 2009).”
Fine-root trait plasticity of beech (Fagus sylvatica) and spruce (Picea abies) forests on two contrasting soils (2017, methodology): “…traits (i.e. SRL, RTD and mean fine-root diameter) and their distribution throughout the soil profile were compared between soil types using mixed models that corrected for our nested design and potential dependencies between root traits from the same stand or soil core (Zuur et al. 2009).”
Statistical guidelines for Apis mellifera research (2013, methodology): “…bees are sampled from the cage during the experiment) or the semi-parametric Cox proportional hazards model (Cox model) for analysing effects of two or more ‘covariates’, or predictor variables such as N. ceranae or black queen cell virus (Collett, 2003; Zuur et al., 2009; Hendriksma et al., 2011).”