Ranking of the models fit to test whether the presence of an active nest and distance from the nest influenced probability of detecting Marbled Murrelets during presence-absence surveys conducted between 2018 and 2022 along the central coast of Oregon, USA.

We used mixed effects logistic regression to model the probability that naive observers recorded murrelet occupancy or presence. For each model we report the small-sample corrected Akaike Information Criterion score (AICc), difference between the model’s AICc and that of the top model (ΔAICc), Akaike weight of evidence (wi), number of model parameters (K), and the log likelihood.