This dataset is statistical model output for Palm Springs pocket mouse
(Perognathus longimembris bangsi ) species distribution, completed by CBI.
Predictions of habitat occupancy were generated from Maxent models for the
DRECP.
This species distribution model was produced for a limited extent
within the DRECP region, defined as a union of ecoregion subsections in which
detections were found (clipped to within 25 km of occurrences) and a 10 km
buffer of occurrences, at 270 m resolution with 72 detections points obtained
Feb. 2013 from CNDDB (California Department of Fish and Wildlife, Biogeographic
Data Branch), MaNIS (http://manisnet.org/), and species locality data compiled
by the California Mammal Species of SpecialConcern (MSSC) project
(http://databasin.org/groups/88e0ca8e-62db-4e52-8332-8e4ab781346c).
The model was built with the following 4 environmental predictors
(provided to CBI by Frank Davis’ Biogeography Lab at UC Santa Barbara, created
for the CA Energy Commission’s project “Cumulative Biological Impacts Framework
for Solar Energy in the CA Desert”, 500-10-021) in order of
importance:
Topographic relief in the 270m cell estimated as the standard deviation
of elevations from 30m digital elevation model;
Soil water content at wilting point, produced by A. & L.
Flint;
Temperature seasonality (C of V, x100);
Minimum temperature of coldest period (°C, x10).
This model has a 10-fold cross validated AUC score of 0.799 (standard
deviation 0.077).
Areas with land use/cover types of agriculture (deciduous
orchard/vineyard, irrigated field, pasture), urban, or lacustrine were masked
out (converted to ‘nodata’).
The binary layer depicting predicted suitable habitat was derived using
the maximum training sensitivity and specificity threshold (0.264).