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mixed model?

Dear all, I'm analysing bird presence/absence in 16 grassland fields over 4
seasons (different years) and want to know the effect of grass height and
forest cover on presence/absence of the species. Grass height varied among
season but not forest cover in each field. So we have a spatial dimension
and a time dimension. I tried a binomial glm but wonder if I should use
generalized linear mixed models with field identity as the random as I have
repeated measures (bird counts) in each field.

I appreciate your opinion.

Thanks in advanced,

Joaquin Aldabe.