bbsBayes

bbsBayes performs hierarchical Bayesian analysis of North American Breeding Bird Survey (BBS) data to estimate avian population trajectories and trends for over 400 bird species for ecological monitoring and conservation.

Key Features:

• Hierarchical Bayesian Models: Implements hierarchical Bayesian models to analyze BBS data and account for complex ecological data structures.
• Data Stratification and JAGS Preparation: Provides data stratification and prepares data for model fitting with JAGS (Just Another Gibbs Sampler).
• Species-specific Analyses and Modeling Customization: Enables analysis for selected species among the over 400 monitored by the BBS through configurable stratification and modeling approaches.
• Integration with Established Models: Incorporates models currently used by the Canadian Wildlife Service and the United States Geological Survey.

Scientific Applications:

• Population Trajectories and Trends: Estimates time-series population trajectories and rates of change (trends) for bird species using BBS data.
• Conservation and Management: Provides quantitative trend estimates to inform wildlife conservation and management decisions.
• Ecological Research: Facilitates studies of factors affecting bird populations and long-term avian population dynamics.

Methodology:

Uses hierarchical Bayesian modeling of BBS data with incorporation of prior information and uncertainty, supports data stratification and preparation for JAGS (Just Another Gibbs Sampler), and fits models using JAGS.