These data are statistical model outputs for Parish’s daisy (
Erigeron
parishii
) 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 USDA ecoregion
subsections with occurrences and 10km buffer of occurrences, at 270 m
resolution with 151 detections points obtained from Dudek and downloaded in March
2013 from CNDDB
(California
Department of Fish and Wildlife, Biogeographic Data Branch); Consortium
of California Herbaria (http://ucjeps.berkeley.edu/consortium/), and
USFWS Carlsbad Fish & Wildlife Office (http://www.fws.gov/carlsbad/GIS/CFWOGIS.html).
The model was built with the following 6 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:
Growing degree days above 5°C (cumulative
temp.);
Minimum temperature of coldest period
(°C, x10);
Precipitation of warmest quarter (mm);
Soil available water storage (cm) from
0-50cm, derived from SSURGO or STATSGO where SSURGO was unavailable. The mapunit-area-weighted average of
aws050wta in table muaggatt;
Soil water content at wilting point,
produced by A. & L. Flint;
Soil thickness, produced by A. &.
L. Flint.
This model has a 10-fold cross validated AUC score of 0.966
(standard deviation 0.017).
The binary layer depicting predicted suitable habitat was
derived using the maximum training sensitivity and specificity threshold (0.065).