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Heather Evans

Publications and source records attributed to Heather Evans.

2 recordsLinked to original sources

How hunters and non-hunters view barriers to allowing hunting access in an urban county

Barriers to allowing hunting of white-tailed deer ( Odocoileus virginianus ) on private land shape hunter recruitment, retention, and reactivation efficacy as well as the ability of wildlife management agencies to use hunting as a management tool. Understanding perceptions of these barriers is crucial in urbanizing landscapes where there are increased challenges to allowing hunting access, and deer may persist in relatively high numbers. We compared barriers to allowing hunting access on one’s property among hunters (n = 281) and non-hunters (n = 874) who did not have hunting occur on their property across urban, suburban, and rural groups in Durham County, North Carolina. (i.e., six groups). Rural landowners tended to perceive geographic barriers (e.g., property size) as less problematic than suburban and urban landowners, irrespective of personal participation in hunting, but landowners who hunted tended to view all barriers as less problematic than those who did not. Small property size, human population density, and housing density were viewed as important barriers to allowing hunting access for all groups, but suburban and urban non-hunters perceived the challenges as greater barriers compared to other groups. Conversely, the complexity of hunting regulations was viewed as a minor barrier to allowing hunting among all landowners. Safety concerns, not knowing other hunters, and disagreement with hunting as a practice showed the greatest contrasts between landowners who hunted and those who did not, with the latter group reporting the barriers as more important. Barriers to hunting identified in this study aligned with variables that predicted whether land is huntable (e.g., property size, housing density) in prior research. Our results indicate that developing public outreach highlighting hunting safety and creating landowner-hunter partnership programs may help facilitate hunting access in urbanizing areas.

North Carolina

Integrating fecal DNA and telemetry to estimate wildlife densities in anthropogenic landscapes

Density estimation is central to wildlife management efforts but can be challenging in anthropogenically-dominated landscapes due to small parcel sizes, access restrictions, and limited green space. Reliable density estimates are especially important for managing white-tailed deer ( Odocoileus virginianus ), whose high abundance in urbanized areas increases the need for accurate population assessments to guide management and reduce negative human–wildlife interactions. Herein, we evaluated (a) the use of a plot-based spatial capture-recapture sampling design to estimate deer density in developed landscapes and (b) if integrating telemetry data improved the precision or biological inferences of density estimates. We conducted fecal sampling at 2 study areas reflecting different characteristics of the urbanization gradient in Durham and eastern Orange counties, North Carolina: (1) rural (i.e., forested, large parcels) and (2) suburban (i.e., small parcels, limited continuous access, diversity of landscape features). We collected 223 fecal samples during a 3-week sampling period in July and September 2022, resulting in 157 individual deer detected (112 F:45 M). Rural densities were estimated at 54 deer/km 2 (95% CI = 35–84) and suburban densities at 75 deer/km 2 (95% CI = 48–117). Integrating telemetry data allowed estimation of sex-specific space use and densities, which were not possible from fecal data alone; however, precision of total density estimates was similar across integrated and fecal-only analyses. Overall, our results highlighted key trade-offs inherent to plot-based spatial capture-recapture in suburban landscapes, most notably low recapture rates, accessibility challenges to maintain optimal trap spacing, and the importance of considering auxiliary data streams as part of the study design.

North Carolina