Adding a subset to a glm messes up factors?

I have a problem with running a glm using a subset of my data. Whenever 
I choose a subset, in the summary the factors arent shown (as if the 
variable was a continuous variable). If I dont use subsets then all the 
factors are shown. I have copied the output from summary for both cases.

Thanks for the help,
Muri

model<-glm(log(cpue)~year,family=gaussian)

Call:
glm(formula = log(cpue) ~ year, family = gaussian)

Deviance Residuals:
   Min       1Q   Median       3Q      Max
-2.0962  -0.5851  -0.1241   0.4805   3.9236

Coefficients:
           Estimate Std. Error t value Pr(>|t|)
(Intercept)   0.8899     0.1844   4.825 1.42e-06 ***
year1990     -0.6107     0.1925  -3.173  0.00152 **
year1991     -1.7466     0.1902  -9.184  < 2e-16 ***
year1992     -1.4061     0.1864  -7.544 5.07e-14 ***
year1993     -1.4069     0.1860  -7.565 4.31e-14 ***
...

model<-glm(log(cpue)~year,family=gaussian,subset(data.all,species=="n")

Call:
glm(formula = log(cpue) ~ year, family = gaussian, data = subset(data.all,
   species == "n"))

Deviance Residuals:
    Min        1Q    Median        3Q       Max
-1.64577  -0.61671  -0.08972   0.55792   2.73737

Coefficients:
            Estimate Std. Error t value Pr(>|t|)
(Intercept) 32.446570  10.076895   3.220  0.00135 **
year        -0.016345   0.005037  -3.245  0.00123 **
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