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摘要: Abstract. We examined wetland selection by the Black Tern (Chlidonias niger), a species that breeds primarily in prairie pothole region, has experienced population declines, and is difficult to manage because of low site fidelity. To characterize its wetlands this we surveyed 589 throughout North South Dakota. documented breeding at 5% foraging 17% wetlands. created predictive habitat models with machine-learning algorithm, Random Forests, explore relative role local characteristics those surrounding landscape evaluate which were important predicting versus foraging. also area-dependent while addressing passive sampling bias replacing occurrence terns an index density. Local variables more than predictions Wetland size was t...