Hi

I'm using single-species models in PRESENCE. I'm using 5 covariates to model psi and one variable to model p. I ran the whole combination of variables (64 models), and it seems to be everything OK except for one model, which is suspiciously the best-ranked model (it doesn't seem to make sense, comparing with all other models within deltaAIC<2). This model has betas with very big values and SE with errors. Something like this has never happened to me (I've been using these models since 2012).

Does anyone know what could be happening? I can share the project.

Thank you very much.

Best,

Paula Cruz