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jwmg560-sm-0001-SupFig-S1.docx21KFigure S1. Relationship between performance of logistic regression models to predict bird distributions and detection probability from this study in comparison to those presented by Rota et al. (2011). Metric of model performance used was area-under-the-curve (AUC) from Receiver Operating Characteristic (ROC) plots.
jwmg560-sm-0002-SupTable-S1.docx18KTable S1. Distribution of pixels classified in land cover training sites for the Queen Maud Gulf study area during the image classification procedure used to attribute land cover types to the Rasmussen Lowlands study area.
jwmg560-sm-0003-SupAppendix-S1.docx48KAppendix S1. Candidate multi-scale models to estimate encounters of focal species in the Queen Maud Gulf study area (22–26 June 2002 and 13–19 June 2003) in relation to geographic and land cover covariates. Models are ranked by Akaike's information criterion (AIC). Also included are thedifference in AIC units between the respective model and the best model (Δi), Akaike weight (w), and number of estimable parameters (K). Results for the null model and those models included in model-averaging confidence sets are displayed. Spatial scale of land cover variables are given in subscript following the variable code.

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