Extensive avian and biophysical datasets form the core of the Boreal Avian Modelling (BAM) Project. Both datasets are developed using the generous data contributions from scientists based in academia, governments, non-government organisations, and the private sector. These datasets cover a broad geographical expanse and include a multitude of projects, providing the foundation for an ambitious international effort to provide a scientific basis for boreal bird conservation.
TYPES OF DATA:
The avian and biophysical datasets are described in more detail on subsequent pages. BAM also draws upon existing sources of information about anthropogenic impacts on the landscape to provide inputs into modelling efforts.
STANDARDISATION OF DISPARATE DATA SETS:
The individual projects that comprise the BAM datasets were designed to address specific questions and thus used different protocols appropriate to each project. Significant efforts have been expended by BAM to standardise the resulting highly disparate avian and biophysical data sets. The standardisation techniques are summarised in Methods, and provide a reference for those considering similar efforts or collecting further data.
Data-collection efforts have expanded from the original study area comprising the boreal region in Canada, to include the entire boreal and hemiboreal regions in North America.
We continue to seek and accept additional point-count data from new or previously unknown sources and from ongoing surveys. Click here to contact the BAM team to discuss contributing your data to the project.