I want to employ Occupancy and Detection probabilitiy estimates for a large vertebrate species. Do you recommend using and running different models with presence-absence matrices by sex (i have robust data on the sex ratio in my study population), or using sex as a covariate (i.e. using the typical species presence-absence matrix) of occupancy/ detection? The rest of the covariates will be from the habitat type and the species community at my study sites.
Thanks.
Yes, sex is a common covariate used in occupancy models. If you haven't used it already, I would highly recommend the "secr" package in R. You can then compile a capture history element and combine it with covariates to run your models and analyses.
Thanks Russell, I have already used some packages for occupancy estimations. But, as I'm using a x-day period as capture ocasions, I have some ocasions with presence of several individuals (males and females) of my goal species in a given site. So, if I'd like to estimate occupancy and detection probability for both sexes, I'm asking if I would use a single presence-absence matrix for both sexes, or run models independently for each sex (using presence-absence matrix for each sex). In some sites in a given sampling ocasion, I have presence of both sexes, and I don't know if it is worth it to use a "both sex covariate", or making estimations separately by sex-specific matrices.
Thanks!!
Article Sex‐specific population dynamics and demography of capercail...
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