Using Snapshot Camera Trap data to evaluate the extent of the “weekend effect” across varying climatic regions of the contiguous United States. Skip to main content
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2024 Abstracts

Using Snapshot Camera Trap data to evaluate the extent of the “weekend effect” across varying climatic regions of the contiguous United States.

Authors: Austin Green, Gaby Karakcheyeva
Insitution: University of Utah

As the world’s human population continues to concentrate within urban areas and these landscapes continue to expand worldwide, wildlife is under pressure to adapt to novel environmental disturbances. Along urban-wildlife gradients, and especially within less developed areas, human recreation can affect wildlife behavior. These effects may be most apparent during peaks in human recreational activity. In addition, climatic conditions such as aridity and precipitation can also alter wildlife behavior. Understanding the interactions between these two pressures, human activity and climate, can help us understand how wildlife behavior will be affected as human populations grow and climate warms. In this study, we will use data from a large-scale citizen science camera trapping project to assess whether periodic increases in human recreational activity paired with arid climates will elicit behavioral responses across multiple mammal species in northern Utah, U.S.A. Specifically, we will assess whether increases in human recreational activity during the weekend affected mammalian temporal activity patterns at the community-wide and species-specific level, taking into consideration if these trends are amplified in areas that are arid and low in precipitation. I hypothesize that increased human recreational activity will alter wildlife behavior, in general, however this change in behavior will be amplified in drier, hotter areas. I predict that during the weekends human activity will increase, leading to general decreases in activity, mobility, and breeding behavior across species, and this will be amplified in hotter and less vegetated areas. However, I predict that naturally diurnal species will be more affected than nocturnal species as they attempt to avoid overlap with humans, leading to changes in species-species interactions.