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Understanding spatial and temporal variability in the distribution of seabirds is fundamental for the conservation and management of marine ecosystems. In the absence of large-scale systematic survey data, the application of standard habitat modelling techniques to predict the at-sea distributions of seabirds at large spatial scales has been limited. In this study, we examine the utility of relati
