)
species distribution, completed by Frank Davis’ Biogeography Lab at UC
Santa Barbara. Based on examination of species observation data and consultation with biologists, CBI used the model's narrow extent output masked to the following USFS ecoregion subsections: 322Ag, 322Aa, 322Cc.
The UCSB Biogeography Lab used Maxent to generate predictions of habitat occupancy for ~70 species for the CA Energy Commission’s project
“Cumulative Biological Impacts Framework for Solar Energy in the CA
Desert”, 500-10-021.
Species distribution models were produced at 270 m resolution using a
subset of 22 environmental variables. Models were evaluated with 10-fold
cross validated AUC scores.
Both continuous probability surfaces and binary layers are available
for each species modeled. Binary layers depicting predicted suitable
habitat were derived using the equal training sensitivity and
specificity threshold.
For
Buteo swainsoni, Max Sensitivity + Specificity threshold = 0.3028; best AUC = 0.9146; mean AUC = 0.9066.
For more information on the environmental variables used, modeling process, and model diagnostics, please refer to the supporting document “Data Descriptions: UCSB DRECP Species Distribution Models, June 12, 2013" provided by Frank Davis.