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These
data are statistical model outputs for American badger (Taxidea taxus)
species distribution, completed by Frank Davis’ Biogeography Lab at UC Santa
Barbara.
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-foldcross validated AUC scores. Results are preliminary and have notyet
been reviewed by expert biologists. 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 Taxidea taxus
(broad extent), Max Sensitivity + Specificity threshold = 0.379; best AUC
=0.921; mean AUC =0.867
For Taxidea taxus (narrow extent), Max
Sensitivity + Specificity threshold = 0.385; best AUC =0.927; mean AUC =0.845
For more information on the modeling process and
environmental variables used, please refer to the attached PDF file ("DATA DESCRIPTION: UCSB DRECP SPECIES DISTRIBUTION MODELS").
Data Provided By:
Frank Davis and Oliver Soong
Bren School of Environmental Science & Management
University of California
Santa Barbara, CA 93106-5131
Content date:
not specified
Citation:
Frank Davis and Oliver Soong Bren School of Environmental Science & Management University of California, Santa Barbara
Spatial Resolution:
270 m
Contact Organization:
Frank Davis Bren School of Environmental Science & Management University of California Santa Barbara, CA 93106-5131 Lab website: www.biogeog.ucsb.edu
Layers in this dataset are based on combinations of the following options.
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