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I am running an lme model with the main effects of four fixed variables (3 continuous and one categorical – see below) and one random variable. The data describe the densities of a mite species – awsm – in relation to four variables: adh31 (temperature related), apsm (another plant feeding mite) awpm (a predatory mite), and orien (sampling location within plant – north or south). I have read in Pinheiro and Bates that anova(model) can be used to asses the significance of fixed factors. In my case, anova(model) gives different results than summary(model) and...