Year of Award

2024

Document Type

Thesis

Degree Type

Master of Science (MS)

Degree Name

Parks, Tourism and Recreation Management

Department or School/College

Society and Conservation

Committee Chair

Dr. William L. Rice

Commitee Members

Dr. Kyle Bocinsky, Dr. Katherine Zeller

Keywords

Recreation Ecology, Cross Country Skiers, Domestic Dogs, Wildlife Assemblage, Recreation Management

Subject Categories

Natural Resources Management and Policy

Abstract

Outdoor recreation activities are seen as a type of anthropogenic stressor that can significantly impact wildlife. Despite winter recreational activities having a more negative effect on wildlife compared to summer or aquatic recreation, they are the least studied in terms of impact (Larson et al., 2016). Wildlife species can be influenced both temporally and spatially by the development of winter recreation trails and snow-based recreation (Braunisch et al., 2011; Olsen et al., 2018). This research combines natural and social science methods to assess how cross-country skiers affect wildlife activity patterns, guiding decisions about managing recreation. During two winter data collections, an array of 35 trail cameras measured trail use density and its impact on wildlife over time and space in a popular cross-country ski area. The work aimed to provide insights into interactions between human and dog activity and wildlife. After collecting camera data, MegaDetector, a machine learning program, expedited the process of classifying and tagging trail camera images. Once tagged, further cleaning and analysis of the data was conducted using program R. The daily activity patterns of three focal wildlife species were compared between weekends and weekdays, representing times of high and low recreation. White-tailed deer exhibited significant changes in their daily activity between these two levels of recreation, while coyotes and foxes became more active later at night during periods of high recreational use. The extent to which these focal species shifted their activity appeared to be related to their natural activity patterns. For instance, white-tailed deer, which had the greatest overlap with human activity, also showed the greatest shift in daily activity when recreational use was higher. Habitat use was modeled with a general linear mixed-effects model, with species' habitat use closely associated with climate predictor variables such as snow depth and temperature average. White-tailed deer were negatively associated with motorized vehicles but not direct human recreation or dog use. Due to a stronger temporal avoidance than spatial avoidance of humans and dogs, limiting human and dog use to an hour after sunrise and before sunset is suggested to provide wildlife with safe and energy efficient travel corridors, reducing stress caused by human interactions, especially during times of high snow depth and low temperature averages. These results also enhance the viability of cameras for monitoring human and wildlife activity and sustainable management of winter recreational areas.

Available for download on Saturday, February 01, 2025

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