The number of covariates you can include in a model is determined by your sample size. In this video Darryl gives his thoughts on that for occupancy models, and some pointers for identifying when you might have over-parameterised a model (included too many covariates).
You might also want to check out these related videos: Considerations when using continuous-value covariates and How to calculate odds ratios from logistic regression coefficients