This dataset represents an updated habitat suitability model at 90-m resolution for jaguars in the states of Arizona, Chihuahua, Sinaloa, and Sonora. Original suitability values were multiplied by 10000 and integerized to reduce file size.
We used the same jaguar event-record data compiled for and used in the Draft Recovery plan, available at jaguardata.info. When accessed (January 31, 2017), the jaguar dataset contained 229 observations. Roughly half of these observations were represented as polygons (n= 105), and we excluded these, as the variability of our explanatory variables within each of the large polygonal areas is very large.We retained data for only 48 point locations that met the following criteria: they had reliable geographic coordinates; were considered defined or determined points within the states of Arizona, Chihuahua, Sinaloa, and Sonora; and were observed within the last century (i.e., since 1917).
We considered each of the explanatory variables included in Sanderson and Fisher’s (2013) model. Our revised habitat model, (a) leveraged more recently available landscape data at 30-m resolution (a 1000-fold increase in resolution); (b) estimated continuous rather than binary habitat suitability; and (c) re-examined the model logic to evaluate potential habitat use (or quality) as a function of availability within the study area. We also revised the study area for which this model was developed to extend beyond the defined NRU, because we were using refined data and a gradient-based model, we wanted to be able to examine the support of this modified model to support refinement of a map of suitable habitat extent (Figures 1&2). We derived this model in Google Earth Engine (GEE), a powerful cloud computing platform for efficiently processing and integrating large datasets.
For more information, please see the project report, which can be downloaded at http://www.csp-inc.org/wp-content/uploads/2017/04/CSP_mapping-jaguar-habitat.pdf
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