Hi all,
I have a long-term data set of >500 individuals caught opportunistically by farmers over a 20 year period. Captures are more of a response to either human-wildlife conflict, perceptions, etc. Due to this setting, sampling was not consistent and is likely to have varied largely across years. Also, exposure to trapping effort may not have been equal to all individuals particularly as trapping sites are bias to capture males.
The reason for this post it is because I am struggling to define what abundance estimator may be more appropriate for this data set. I was thinking about maybe considering each year as an occasion or at least 6 months. That would prevent the application of any robust design approach. However, maybe use the C/Jolly-Seber.
Any assistance is welcomed, please.
Thanks, Fabiano