biostudies-literatureUnknown7(12)Ethier DMNatural Sciences and Engineering Research Council of CanadaIODE War Memorial Doctoral ScholarshipMinistry of Natural Resources and ForestryTo achieve national population targets for migratory birds, landscape-level conservation approaches are increasingly encouraged. However, knowledge of the mechanisms that drive spatiotemporal patterns in population dynamics are needed to inform scale-variant policy development. Using hierarchical Bayesian models and variable selection, we determined by which mechanism(s), and to what extent, changes in quantity and quality of surrogate grassland habitats contributed to regional variation in population trends of an obligatory grassland bird, Bobolink (<i>Dolichonyx oryzivorous</i>). We used North American Breeding Bird Survey data to develop spatially explicit models of regional population trends over 25 years across 35 agricultural census divisions in Ontario, Canada. We measured the strenEcology and evolution4152-4162https://www.ebi.ac.uk/biostudies/studies/S-EPMC5478086biostudies-literatureSpatiotemporal variation in mechanisms driving regional-scale population dynamics of a Threatened grassland bird.PMC5478086Koper NNudds TDEthier DMfalseSpatiotemporal variation in mechanisms driving regional-scale population dynamics of a Threatened grassland bird.To achieve national population targets for migratory birds, landscape-level conservation approaches are increasingly encouraged. However, knowledge of the mechanisms that drive spatiotemporal patterns in population dynamics are needed to inform scale-variant policy development. Using hierarchical Bayesian models and variable selection, we determined by which mechanism(s), and to what extent, changes in quantity and quality of surrogate grassland habitats contributed to regional variation in population trends of an obligatory grassland bird, Bobolink (<i>Dolichonyx oryzivorous</i>). We used North American Breeding Bird Survey data to develop spatially explicit models of regional population trends over 25 years across 35 agricultural census divisions in Ontario, Canada. We measured the stren2017-01-01T00:00:00Z2017 Jun2025-04-19T19:08:00.839Z2019-03-27T02:48:04ZS-EPMC54780862864932810.1002/ece3.3004