Abstract
For ˜100 years, the continental patterns of avian migration in North America have been described in the context of three or four primary flyways. This spatial compartmentalization often fails to adequately reflect a critical characterization of migration — phenology. This shortcoming has been partly due to the lack of reliable continental-scale data, a gap filled by our current study. Here, we leveraged unique radar-based data quantifying migration phenology and used an objective regionalization approach to introduce a new spatial framework that reflects interannual variability. Therefore, the resulting spatial classification is intrinsically different from the “flyway concept”. We identified two regions with distinct interannual variability of spring migration across the contiguous U.S. This data-driven framework enabled us to explore the climatic cues affecting the interannual variability of migration phenology, “specific to each region” across North America. For example, our “two-region” approach allowed us to identify an east-west dipole pattern in migratory behavior linked to atmospheric Rossby waves. Also, we revealed that migration movements over the western U.S. was inversely related to interannual and low-frequency variability of regional temperature. A similar link but weaker and only for interannual variability was evident for the eastern region. However, this region was more strongly tied to climate teleconnections, particularly to the East Pacific-North Pacific (EP-NP) pattern. The results suggest that oceanic forcing in the tropical Pacific—through a chain of processes including Rossby wave trains—controls the climatic conditions, associated with bird migration over the eastern U.S. Our spatial platform would facilitate better understanding of the mechanisms responsible for broad-scale migration phenology and its potential future changes.
Migration phenology and patterns of American woodcock in central North America derived using satellite telemetry
