Lamda and trap dependence

[jlr]

I am seeking guidance on the Pradel (survival and lambda) model to characterize seasonal population change at one end of a migration route. The idea is to characterize the pattern of spring arrival, summer residency and fall departure in terms of population growth and decline. Sampling is conducted monthly within a single season and demographic classes would be compared as groups. True survival is extremely high (assumed to be constant) for all classes.

My concern is that there is strong trap happiness in the data (in all demographic classes) and I know that this can bias time-varying lambda estimates. Is there a way to adjust the data or model to account for trap happiness for both forward and reverse analysis? Alternately, would it be reasonable to use trap-influenced results in a comparative fashion if I have good reason to suspect the same effect for all classes?

Thanks in advance for your advice.