Pronghorn Summer Predicted Habitat in California, 2014-2016

Jun 29, 2018 (Last modified Dec 9, 2020)
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Description:
On June 29th 2018 this model was projected to the pronghorn hunt zone boundaries for complete coverage.

These are statistical model outputs for the summer distribution of female pronghorn (Antilocapra americana), completed by Conservation Biology Institute using location data from Institute for Wildlife Studies. Predictions of relative habitat suitability were generated for northeastern California from a multi-scale MaxEnt (habitat suitability model for presence-only data; Version 3.3.3k, Phillips et. al. 2006) model.

This 90m resolution species distribution model was calibrated within a 25 km buffer of all occurrence points. Location data were provided by the Institute for Wildlife Studies from high accuracy gps collars on female pronghorn. Points were divided into winter and summer months and thinned to a minimum nearest neighbor distance of 2.5 km, and divided into model training (n=239) and testing (n=79) sets. Do to time and budget constraints the winter model was not completed.

The model included the following 15 environmental predictors in order of mean permutation importance:

Existing tree cover (2.5 km)

Density of Secondandary Roads (20 km)

Percent grassland type (20 km)

Patch density of juniper (20 km)

Slope (10 km)

Interspersion juxtaposition of Shrubland within the landscape (20km)

Distance to juniper

Average summer (April to Sept) precipitation

Patch density of grassland (10km)

Percent like adjacencies of juniper woodland (10km)

Interspersion juxtaposition of juniper woodland (20km)

Percent like adjacencies of shrubland (1km)

Distance to all roads

Distance to perennial waters

This model has a mean 10-fold cross-validated test AUC score of 0.8332 (standard deviation 0.032), mean 10% test omission of 0.1801, mean difference between training and testing AUC of 0.03661, and correctly classified 72.15% of the reserved test occurrences (n=79; using maximum training sensitivity and specificity threshold).

Both the logistic continuous probability surface and binary layer are available. The binary layer depicting predicted suitable habitat was derived using the maximum training sensitivity and specificity threshold (0.3797). Results are preliminary and have not yet been reviewed by expert biologists.
Data Provided By:
Institute for Wildlife Studies provided high accuracy gps collar data for training and testing the model.

Conservation Biology Institute gathered publicly available data for environmental variables.
Content date:
not specified
Spatial Resolution:
90 meter
Contact Organization:
Conservation Biology Institute
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Use Constraints:
These data were generated using high accuracy gps collar locations provided by Institute for Wildlife Studies. Credit must be provided when sharing these data. (Use constraints to be clarified with IWS contacts)
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Tags:
pronghorn, california, maxent, sdm, model
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Conservation Biology Institute

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