These data are statistical model outputs for Parishâs 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 Davisâ Biogeography Lab at UC Santa Barbara, created for the CA Energy Commissionâs project âCumulative Biological Impacts Framework for Solar Energy in the CA Desertâ, 500-10-021) in order of importance:
Growing degree days above 5Â°C (cumulative temp.);
Minimum temperature of coldest period (Â°C, x10);
Precipitation of warmest quarter (mm);
Soil available water storage (cm) from 0-50cm, derived from SSURGO or STATSGO where SSURGO was unavailable.Â 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).Â
The binary layer depicting predicted suitable habitat was derived using the maximum training sensitivity and specificity threshold (0.065).