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GLZGeneralized Linear Model
GLZGaley Zahal (Israel Defence Forces radio literally meaning: waves)
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GLZ analysis of the influence of habitat types, number of birds, year of study and localities on the number of species reflected the significant effect of six variables; three habitat types, number of birds, year of study and study area location (Table 2).
Results of GLZ analyses of species richness and the total numbers of birds in relation to habitat type, year and study area location (and number of birds for species richness analysis).
toweri showed correlations in its three stages through analysis GLZ.
To identify the variables that best predicted changes in the abundance of edible dormice, we built logistic regressions based on Generalized Linear Models (GLZ, McCullagh & Nelder 1989) in which the response variables per every nest box were counts of: i) the number of captured adult males and females (entered in model as "adult"), ii) the number of captured juveniles and yearlings (entered in model as "immature").
Modelling was repeated per every response variable (total adults, and total immature individuals) per two years (2010 and 2011) of sampling, totalling four independent GLZs. We did not consider interactions between predictors or their polynomials to avoid generating sub-models that might be biologically implausible, as well as obtaining potentially spurious results due to the "problem of too many models" (Burnham & Anderson 2002, Grueber et al.