Mojave Tarplant - Species Distribution Model, DRECP

Apr 26, 2013 (Last modified Mar 11, 2014)
Open in Map
Open in Map
Description:
These data are statistical model outputs for Mojave tarplant (Deinandra mohavensis ) species distribution, completed by CBI. Predictions of habitat occupancy were generated from Maxent models for the DRECP.

This species distribution model was produced at 270 m resolution for two limited extents within the DRECP region separately, north and south. 

The northern Mojave tarplant distribution model extent was defined as the union of 10km buffer of occurrences and the USDA ecoregion subsections with containing occurrences, with the addition of Kern Plateau, Tehachapi-Piute Mountains, and portions of Lower Batholith. The northern model used with 23 detection points obtained March 2013 from CNDDB (California Department of Fish and Wildlife, Biogeographic Data Branch) and Consortium of California Herbaria (http://ucjeps.berkeley.edu/consortium/).
The model was built with the following nine 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:

Annual precipitation (mm);
Temperature seasonality (C of V, x100);
Minimum temperature of coldest period (°C, x10);
Soil thickness, produced by A. &. L. Flint;
Precipitation of warmest quarter (mm);
Topographic relief in the 270m cell estimated as the standard deviation of  elevations from 30m digital elevation model;
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;
Integrated solar radiation (WH/m2, ESRI Spatial Analyst Area Solar Radiation).  Derived from the interior of 30m NED DEM tiles buffered to 300m.  Integrated from 2012-02-29 to 2012-05-30.  Average integrated value in each 270m pixel;
Flow accumulation (ESRI Spatial Analyst Flow Accumulation), calculated from 90m HydroSHEDS flow direction rasters.  90m model data were log(x+1) transformed.  Maximum of the transformed values in each 270m pixel.

This model has a 10-fold cross validated AUC score of 0.948 (standard deviation 0.075). The binary layer depicting predicted suitable habitat was derived using the maximum training sensitivity and specificity threshold (0.088).

The southern Mojave tarplant distribution model extent was defined as the union of 10km buffer of occurrences and the USDA ecoregion subsections with containing occurrences, with the addition of San Gorgonio Mountains, Fontana Plain-Calimesa Terraces, and Upper San Gorgornio Mountains, and exclusion of High Desert Plains and Hills. The southern model used 131 detection points obtained March 2013 from CNDDB (California Department of Fish and Wildlife, Biogeographic Data Branch) and Consortium of California Herbaria (http://ucjeps.berkeley.edu/consortium/).

The model was built with the following nine 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.);
Precipitation of warmest quarter (mm);
Soil porosity, produced by A. and L. Flint;
Topographic relief in the 270m cell estimated as the standard deviation of  elevations from 30m digital elevation model;
Soil thickness, produced by A. &. L. Flint;
Soil water content at wilting point, produced by A. & L. Flint;
Aridity index (annual precipitation (mm)/ potential evapotranspiration (mm/annual), x100);
Flow accumulation (ESRI Spatial Analyst Flow Accumulation), calculated from 90m HydroSHEDS flow direction rasters.  90m model data were log(x+1) transformed.  Maximum of the transformed values in each 270m pixel;
Temperature seasonality (C of V, x100).

This model has a 10-fold cross validated AUC score of 0.950 (standard deviation 0.023). The binary layer depicting predicted suitable habitat was derived using the maximum training sensitivity and specificity threshold (0.152).

The Mojave tarplant model layers are mosaics of the northern and southern model outputs.
Data Provided By:
Conservation Biology Institute
Content date:
not specified
Contact Organization:
Conservation Biology Institute
Contact Person(s):
Use Constraints:
Creative Commons LicenseThis work is licensed under a Creative Commons Attribution 3.0 License.
Layer:
Layer Type:
Currently Visible Layer:
All Layer Options:
Layers in this dataset are based on combinations of the following options. You may choose from these options to select a specific layer on the map page.
Description:
Spatial Resolution:
Credits:
Citation:
Purpose:
Methods:
References:
Other Information:
Time Period:
Layer Accuracy:
Attribute Accuracy:
FGDC Standard Metadata XML
Click here to see the full FGDC XML file that was created in Data Basin for this layer.
Original Metadata XML
Click here to see the full XML file that was originally uploaded with this layer.
This dataset is visible to everyone
Dataset Type:
Layer Package
Tags:
habitat occupancy, drecp, mojave tarplant, deinandra mohavensis
Downloaded by 31 Members
Bookmarked by 1 Member , 4 Groups
Included in 2 Public Maps , 9 Private Maps
Included in 5 Public Galleries , 1 Private Gallery

About the Uploader

Conservation Biology Institute

We provide advanced conservation science, technology, and planning to empower our partners in solving the world’s critical ecological challenges