Palm Springs pocket mouse - Species Distribution Model, DRECP

Sep 29, 2014 (Last modified Oct 1, 2014)
Description:
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).
Data Provided By:
The Conservation Biology Institute
Content date:
8/18/2014
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not specified
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Creative Commons LicenseThis work is licensed under a Creative Commons Attribution 3.0 License.
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Conservation Biology Institute

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