Forecasting waterfowl population dynamics under climate change — Does the spatial variation of density dependence and environmental effects matter?
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Incorporate density dependence and climate/pond to explain pond/Mallard densities

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Examine the spatial scale of varying-slopes for forecasting pond/Mallard dynamics

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Fit long-term time series data to the models using hierarchical Bayesian framework

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Evaluate the models' hindcast performance using cross-validation and MSE measures

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Identify areas where Mallard population is vulnerable/resilient to future warming

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