<scp>flexsdm</scp> : An <scp>r</scp> package for supporting a comprehensive and flexible species distribution modelling workflow

1. Species distribution models (SDM) are widely used in diverse research areas because of their simple data requirements and application versatility. However, SDM outcomes sensitive to input methodological choices. Such sensitivity applications mean that flexibility is necessary create SDMs with tailored protocols for a given set model use. 2. We introduce the R package flexsdm supporting flexible species modeling workflows. functions arguments serve as building blocks construct specific protocol user’s needs. The main features flexibility, integration other tools, simplicity objects returned, function speed. As an illustration, we define complete workflow California red fir (Abies magnifica). 3. This provides by incorporating comprehensive tools structured three steps: i) Pre-modeling prepare input, e.g., sampling bias correction, pseudo-absences background points, partitioning, reducing collinearity predictors. ii) Modeling allow fitting evaluating different approaches, including individual algorithms, tuned models, ensembles small ensemble models. iii) Post-modeling include related models’ predictions, interpolation, overprediction correction. 4. Because comprises large part process, from outlier detection users can delineate partial or workflows based on combination meet