The Boreal Avian Modelling Project (BAM) is an international scientific collaboration that develops and disseminates reliable, data-driven and model-based science and products to support migratory bird management and conservation across the boreal region of North America. BAM was initiated in 2004 to address knowledge gaps associated with the management and conservation of boreal birds in North America.
BAM is built on the foundation of boreal bird data. The BAM database was created by collating and harmonizing avian data from the Breeding Bird Survey, Breeding Bird Atlases, and individual research, monitoring, and inventory efforts conducted across the Canadian and US boreal and hemi-boreal region. We have developed specialized statistical approaches to harmonize these datasets by correcting for survey methodology and species detectability to estimate density.
BAM works to develop rigorous analytical model-based approaches to support the conservation of the boreal forest region and the bird populations and communities that depend upon it. BAM models have a myriad of applications: they allow us to draw relationships between birds and their environment (e.g. vegetation, climate, disturbance) from regional to national scales, to predict their response to changes through time and across geographic areas, to explain population trends, to determine which habitats are important and why, to design monitoring efficiently and effectively, to assess how management decisions made now may affect birds in the future...just to name a few.