Fig 1.
Map of counties (noted as shaded area) in Alabama, Georgia, and South Carolina, USA, where coyotes were trapped during 2015–2016.
Table 1.
Eigenvalues, eigenvectors, and factor loadings of environmental factors assessed within home ranges of coyotes in Alabama, Georgia, and South Carolina of the United States.
Table 2.
Mean (±SD) frequency of occurrence of primary prey for coyote packs (n = 29) in Alabama and the Savannah River area of Georgia and South Carolina, January 2016–January 2017.
Fig 2.
Frequency of occurrence by month of 4 primary prey categories for coyotes in Alabama, Georgia, and South Carolina, USA, 2016–2017.
Error bars represent 95% confidence intervals.
Fig 3.
Frequency of occurrence by month of adult and fawn white-tailed deer in coyote scats collected from Alabama, Georgia, and South Carolina, USA, 2016–2017.
Table 3.
Summary of the top 5 generalized linear mixed models used to predict frequency of occurrence of each prey category corresponding to different factors affecting use by coyotes in Alabama, Georgia, and South Carolina during 2016–2017.
Shown are differences among Akaike’s Information Criteria for small sample sizes (ΔAICc).
Table 4.
Results from top generalized linear mixed models for predicting frequency of occurrence of 6 primary prey corresponding to different environmental factors affecting use by coyote packs in Alabama, Georgia, and South Carolina, 2016.
Shown are β coefficients, standard error (SE), 95% confidence intervals (CI), z-scores, and P-values.
Fig 4.
Map showing habitats within 95% kernel density estimated home ranges of 6 GPS-collared coyotes in Alabama, Georgia, and South Carolina 2015–2016.