BAM is built on the foundation of boreal bird data. The BAM database was created by collating and harmonizing avian data from across the Canadian and US boreal and hemi-boreal region. We have developed specialized statistical approaches to harmonize these datasets to estimate density. In addition, many of BAM’s research projects have developed data products and resources to support research and management of boreal birds, such as national scale density and population estimates for many bird species.
BAM produces a variety of predictive models that can be used for a variety of regional and national-scale applications related to migratory bird and land-use management.
We have a variety of tools available to access, use, and understand our models ranging from a dashboard to R package to geoportal.
Models and Tools Page
Compiling and analyzing avian data from across North America is challenging because data is collected in a variety of ways. We have developed specialized statistical approaches to harmonize different datasets by correcting for survey methodology and species detectability.
BAM develops and contributes to R packages for analyzing avian data.
See Methods & Analysis
BAM believes that enhanced data sharing will facilitate collaborative science and accelerate avian conservation and research. Data discovery and download is available on the WildTrax platform under the point count sensor.
We are a founding member of the CanAvian We share a common vision that reliable and comprehensive avian data are available to support conservation and decision-making in Canada.
See Bird Data