Understanding what features comprise high quality habitat is critical to endangered species recovery. Ecological datasets often incorporate nonlinear relationships, correlated variables, and substantial noise: all of which make establishing the relationship between species and their habitat challenging. Biomark researchers have developed advanced analytical tools that pair abundance and habitat characteristics data to define these elusive relationships. Leveraging a suite of modeling techniques such as habitat suitability (HSI), habitat preference, and quantile random forest (QRF) allow for a comprehensive approach to evaluating habitat quantity and quality.
This webinar recording showcases how generating near real-time estimates of carrying capacity by species and life stage, can provide actionable information for habitat restoration and recovery planning.