Spatial and temporal non-stationarity in long-term population dynamics of over-wintering birds of North America.

ABSTRACT: Understanding population changes across long time scales and at fine spatiotemporal resolutions is important for confronting a broad suite of conservation challenges. However, this task is hampered by a lack of quality long-term census data for multiple species collected across large geographic regions. Here, we used century-long (1919-2018) data from the Audubon Christmas Bird Count (CBC) survey to assess population changes in over 300 avian species in North America and evaluate their temporal non-stationarity. To estimate population sizes across the entire century, we employed a Bayesian hierarchical model that accounts for species detection probabilities, variable sampling effort, and missing data. We evaluated population trends using generalized additive models (GAMs) and assessed temp

SUBMITTER: Murphy SJ 

PROVIDER: S-EPMC10019912 | biostudies-literature | 2023 Mar

REPOSITORIES: biostudies-literature