Supporting the conservation of North America's boreal birds through high-quality, data-driven and collaborative science.
DATA PRODUCTS
Explore BAM’s database that includes millions of bird observations and provides the foundation for our data products such as maps of bird densities, habitat associations and more.
RESEARCH
Explore BAM's research by browsing our scientific publications, technical documents and annual reports.
CONSERVATION
Learn more about how BAM’s data-driven science supports the conservation of boreal birds.
New Canada-wide landbird density estimates
To support research and conservation planning we have produced new density estimates for 143 boreal bird species as well as population sizes and regional habitat associations.
We are pleased to provide you with the 2019-20 BAM Annual Report outlining BAM’s activities and collaborations during our previous year.
RECENT NEWS
PHD OPPORTUNITY: OWL POPULATIONS
February 16, 2021
NEW NATIONAL DENSITY MODELS & WEBINAR
October 8, 2020
NEW PAPER OF THE PROJECTED EFFECTS OF CLIMATE CHANGE ON WATERFOWL
August 28, 2020
NEW PAPER PREDICTING THE ABUNDANCE OF WATERFOWL ACROSS CANADA
August 13, 2020
NEW PAPER SIMULATING BIRD POPULATION RESPONSES TO HARVEST AND DISTURBANCE
August 4, 2020
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Online Workshop: Point-count data analysis
You can now watch the training videos and explore the workshop resources! On March 16, 2021, Péter Sólymos delivered a training workshop about the analysis of point-count data in the presence of variable survey methodologies and detection error. The workshop, which was organized by BIOS2, is aimed at researchers analyzing field observations.
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PhD Opportunity: species distribution and abundance models of Canadian owls
A PhD position is available in the Cumming lab at Laval University, Québec City, and is a collaboration with BAM, Birds Canada, and researchers in the Ontario Ministry of Natural Resources and Forestry. The position will develop species distribution models to predict the density of owl species within the Canadian boreal region, and to estimate their total population sizes.