Hello all,
I have been catching hummingbirds since 2004 in southern Brazil. To date, we have around 2000 individuals captured, in a total of nearly 3000 captures, of 12 species. Captures are monthly, but not all species are captured in all months.
Seasonality is a fundamental issue here. Some individuals of 2-3 species may be resident during the breeding season. Most are all transients, and so the two migration times each year (altitudinal migration, apparently) are the times when most captures occur.
I tried two ways to organize the data in MARK. In one, I considered each species as GROUPS. The other way, I separated each species into its own file and analyzed each separately.
The best model in the first method was that species were different, but captures were constant (phi different, p the same). In this output, I get a survival rate for each species and its confidence interval. This is using 7 species with > 80 captures.
When I separate each species out into its own file, and then run it individually, p is not always different among years, and phi is not the same as it was in the joint analysis.
My question is which is the best way to go about doing this kind of analysis to estimate survival and compare species?
Cheers,
Jim