Interpreting Repeated Measures Anova Results in R

I just finished conducting a repeated measures anova looking at mean sand grain sizes over time over a 13 year period for seven sites. Each year a sand sample was collected from a different section of the beach for each site: Ex: Sand samples are collected from the foreshore, midshore, backshore, and dune segments of the beach for Site 1 in 2001. I created a model and conducted an analysis of deviance which I think its a form of anova.

Here is the code for the model

model <- lme (Mean.Grain.Size ~ Site + Year + Site*Year, random= -1|Sample, correlation = corAR1(form = Year | Sample, value = 0.5040243, data=na.omit(Foreshoregrain size), method = "REML")

Results are below

Analysis of Deviance Table (Type II test)
Response: Mean Grain Size

Chi-square DF Pr(>Chisq) Significance
Site 29.3547 6 5.212e-05 ***
Year 0.0170 1 0.8963
Site:Year 5.2214 6 0.5158

I am trying to write a paper, but I do not know an analysis of deviance test is used for? Is this a regular anova or a different anova entirely. I need to know which values do I report from this table to include in my report.