contrasts for generalized linear model

Hi all,

This question has perhaps been answered before, but I can't find a reference
to it.  I have a data set that consists of binomial data (plant flowering)
and time since the plant was last burned (1, 2, or 3 years ago).  There
appears to be a main effect ( flowering is reduced in year 1), but I want to
compare years 2 and 3 to see if flowering is decreasing by year three.  The
model that I included random effects of Year (year data collected) and
population (multiple pops).

The data set basically looks like this:

Pop    Year    TSB     Flowering
1         2008     1             1
1         2008     1             0
. . . . .
24       2010     3              0
24       2010     3              1

What is the best way to set up contrasts for binomial data in R?  Is it
basically the same as with an ANOVA?

Thanks for any information.

Wade

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