An Analysis of Canopy Cover within the Home Ranges of Mexican Wolves (Canis lupus baileyi) Reintroduced into New Mexico and Arizona

Identifying the most important characteristics of a species habitat is vital in understanding its basic ecology and conservation needs. For large predators such as the Mexican wolf, woody vegetation in the form of canopy cover is a habitat characteristic that may play a pivotal role in helping to fa...

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Bibliographic Details
Main Author: Guajardo, Christian A.
Other Authors: Veech, Joseph, Castro-Arellano, Ivan, Serrenari, Christopher
Language:English
Published: 2023
Subjects:
ESA
Online Access:https://digital.library.txstate.edu/handle/10877/17095
Description
Summary:Identifying the most important characteristics of a species habitat is vital in understanding its basic ecology and conservation needs. For large predators such as the Mexican wolf, woody vegetation in the form of canopy cover is a habitat characteristic that may play a pivotal role in helping to facilitate many of its basic needs. The Mexican wolf is listed as endangered; it is the most genetically distinct subspecies of gray wolf in North America. I utilized GPS locational data points of collared wolves within the Mexican Wolf Experimental Population Area (MWEPA) of Arizona and New Mexico, and canopy cover data from the National Land Cover Database (NLCD) to determine the extent that Mexican wolves associate with canopy cover. GPS locational data points spanned six years (January 2015 - January 2021). I used ArcGIS to derive three home range types for each of 132 wolves. The home range types consisted of a 95% kernel density estimator (KDE), 60% KDE, and 100-meter buffers (around each individual data point) for each Mexican wolf in my study. For each home range, I used ArcGIS to determine the statistical distribution of canopy cover values (among pixels). In the NLCD, each 30 × 30 m pixel is assigned a canopy cover value in 1% increments. Canopy cover within each home range was compared to two reference regions: a minimum convex polygon (MCP) and an 80-km concave polygon, both created in ArcGIS. For each wolf, each of the three types of home range was tested against the two reference regions using a two-sample Kolmogorov-Smirnov (K-S) test to determine if wolves were utilizing a mix of canopy cover that was different from what was available to them. I found that 126 of 132 wolves had at least one of their six K-S tests to be statistically significant (P < 0.05) indicating that these wolves were using or associating with canopy cover in a non-random way. Of those 126 wolves, 65 of them had all six of their K-S tests to be statically significant. Wolf home ranges tended to have much less area in the 0% canopy ...