I'm working on a study where I am testing whether individual species that I observed or didn't observe (presence/absence of observing species A on each survey) during drought and non-drought (presence/absence of drought). I have about 150 surveys of presence/absence for species each during drought and non-drought. I'd like to statistically test whether individual species are more likely, less likely, or equally likely to be observed during drought or non-drought.
For a couple species, I did a contingency table/chi-squared analysis. Is this appropriate, or is there a better-suited method I could use? The convenient part about contingency tables is that I was easily able to implement my data as presence/absence columns (counts of surveys in which species A was observed versus surveys when it wasn't observed) and presence/absence rows (Drought Yes/No).
Thanks for your insight.