Stopover duration,movement patterns and temporary home ranges of fall migrant yellow‐rumped warblers Setophaga coronata in native and anthropogenic woodlands of the Northern Prairie region,USA

Stopover behavior of migrant birds is influenced by their energetic condition, but also by extrinsic factors, including weather conditions and habitat attributes such as vegetation structure, microclimates, predation pressure, competition, and food availability. Anthropogenic habitats may differ from natural habitats in these attributes, which could promote differing stopover behaviors for migrants in the two habitat types and affect overall habitat suitability. We used radio‐telemetry to measure stopover behaviors of fall migrant yellow‐rumped warblers Setophaga coronata in native riparian corridor woodlands (corridors) and anthropogenic woodlots (woodlots) in the Northern Prairie region. We measured stopover duration, movement rate, and temporary home range size for birds in both habitat types by attaching radio‐transmitters and relocating birds to either corridor (n = 17) or woodlot (n = 16) study sites. We used AIC_C to rank null, global, and reduced models, which included habitat type, energetic condition, habitat size, year, date, and movement rate (for stopover duration analyses only) as explanatory variables. Model rankings showed that habitat type was not included in any of the top models (ΔAIC_C < 2) for movement behavior, temporary home range size, or stopover duration, which suggests similar functional habitat quality between the two habitat types. These data add similar behavioral responses for birds in the two habitat types to similar fattening rates and stress physiology, further confirming similar suitability of native and anthropogenic woodland habitats in this region as stopover habitat. We also applied logistic regression with a model selection approach, including cloud cover, tail wind component, temperature, and barometric pressure as independent variables, and departure decision as the dependent variable, to evaluate the effects of weather variables on departure. Model selection suggested that cloud cover is a prominent factor affecting departure decisions and the other variables may also influence departure decisions of yellow‐rumped warblers from inland stopover sites.