Hi,
I am working with a 7-year-CMR data-set (2012-2018) of a Griffon vulture population in a dump site. The animals were trapped using a walk-in cage trap with baits inside. Sessions were carried out two times per month (sometimes >2). Closure assumptions of CJS model were violated when running CloseTest (p<0.0000), so I'm using POPAN model (pooling sampling days into years). As U-CARE GOF test results shows, I'm dealing with transients (Test3.SR: p=0) and trap-dependence (trap-happiness, z=-3.48; Test2.Ct: p<0.0001). All the components of Test3.SR were significants, but only the components 2.C2 and 2.C4 of Test2.Ct were significants. Test3.Sm and Test2.Cl were both not significants (p>0.2).
This GOF results suggest me that my starting model should include both transient and trap-dependence. So, since the PIM structure for POPAN doesn't have the triangle format in both survival and p to parameterize time since marking (TSM), to account transients effect I decided to add the covariate PriorCapL function in survival like this:
B1(Phi) B2(Phi)
(Int) Covariate (PriorCapL)
1 0
1 PriorCapL (1,1)
1 PriorCapL (1,2)
1 PriorCapL (1,3)
1 PriorCapL (1,4)
1 PriorCapL (1,5)
For p, I'm not sure if the format above is correct. I have used it, but the first p parameter estimated is not identifiable (estimate=0.99, SE=0, U-CI=1, L-CI=0).
Could you guys suggest me a way to deal with trap-depence (trap-happiness specifically) using the POPAN model?
Cheers.