Rapid multi-nation distribution assessment of a charismatic conservation species using open access ensemble model GIS predictions: Red panda (Ailurus fulgens) in the Hindu-Kush Himalaya region

Our predictive model is the first of its kind and allows to assess the red panda distribution based on empirical open access data, latest methods and the major signals and drivers of the ecological niche. It allows to assess and fine-tune earlier habitat area estimates. Our models promote 'best professional practices'. It can readily be used by the red panda Recovery Team, the red panda Action Plan, etc. because they are robust, transparent, publicly available, fit for use, and have a good accuracy, as judged by several independent assessment metrics (Receiver Operating Characteristics (ROC-AUC) curves, expert opinion, assessed by known absence regions, 95% confidence intervals and new field data).