Little San Bernardino Mtns. Linanthus - Species Distribution Model, DRECP

A three-stage approach was used to build, assess, and finalize distribution models for focal taxa. First, the team built preliminary models at 270 m for each species. Second, field surveys were conducted based on preliminary model predictions. Third, final models were built based on all occurrences, including field data, and assessed for potential biases and model fit. Models were evaluated for their ability to distinguish occurrences from non-occurrences within a 20 km buffer around the known species range using cross validated unadjusted AUC scores and calibrated AUC scores based on a pairwise geographic distance correction designed to overcome spatial sorting bias. 

Both continuous probability surfaces and binary layers are available for each species modeled. Binary layers depicting predicted suitable habitat were derived using a threshold maximizing the sum of sensitivity and specificity (max SSS). 

For more detailed information on environmental variables, methods, and model diagnostics, please refer to the DRECP Working Group supporting document "UCD_McIntrye and Moore Maxent Models for DRECP".

For Linanthus maculatus, Max Sensitivity + Specifity threshold = 0.34; AUC-cross validation = 0.96; pwdAUC = 0.601.