A Spatially Balanced Sampling Design for Boreal Bird Monitoring in Quebec

Authors

Willian Vieira

Bruno Drolet

Welcome

This webpage presents the technical report describing the sampling design developed for monitoring boreal birds in Quebec, as part of a nationwide effort to track bird populations across the underrepresented boreal region. The Quebec design follows the Boreal Optimal Sampling Strategy (BOSS), a hierarchical, spatially balanced sampling approach that integrates habitat distribution, cost constraints, and the use of legacy and iconic survey sites to optimize representativeness while reducing sampling costs. In this report, we detail the spatial layers, simulations, and methodological adaptations specific to Quebec, as well as the steps used to determine sample sizes and select survey locations with the Generalized Random Tessellation Stratified Sampling (GRTS) method.

The online version of this report is hosted at willvieira.github.io/sampling_BMS and is automatically rebuilt whenever updates are made to the code repository (github.com/sampling_BMS).

Current build status:

This version of the report was generated on 2025-11-19 via GitHub Actions.

License

TBD