Temporal Symmetry versus super-population approach

[Bryan Hamilton]

I just found some course notes online. I believe these are from Dr. Pollock.

They contrast three approaches to modeling open populations:
Jolly-Seber
Superpopulation
Temporal Symmetry

My understanding is that Jolly-Seber would be standard models (CJS) that estimate survival and capture probability. Would it also include models such as POPAN that can estimate abundance and lambda?

Superpopulation would be the "Robust Design" models that estimate abundance survivial and return rate .


Temporal Symmetry is a Pradel model that estimates survivial and recruitment.

I don't fully grasp the differences between these approaches. Can someone recommend a good paper or reference that explains difference approaches to open population modeling? I've been working through the MARK book but it is a little overwhelming.