AIC and model comparison test results of the stepwise backwards model selection processes of each objective 1. Across-shore distribution Crab abundance-Table 2 of the MS comprise all the information required Burrow occupation Table S1. Summary of results of optimal Generalized Linear Model selection (family Poisson, logit link) for burrow occupation rate of Ocypode quadrata (OR) as a function of across-shore position (ASP), beach, and sampling date (SD). A backward stepwise model selection was performed based on Akaike Information Criteria (AIC); when AIC differences between models were ≤1, model comparison based on log-likelihood ratio test (LRT) was used to support the decision. Test results are always relative to the model resulting from the previous step, one level above. Bold lines highlight terms that were not dropped (i.e., dropping them led to a significantly worse model); the grey line highlights the final model. Model d.f. AIC LRT p OR ~ ASP*Beach *SD 996 drop 3-way 24 964 drop SD*Beach 24 949 drop Beach*ASP
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.