Data and code from: Wildlife temporal behaviors in response to human activity changes during and following COVID-19 park closures
Data files
Oct 15, 2025 version files 796.71 KB
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COVID.data_code.R
40.85 KB
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CTdata_all_9.4.25.xlsx
723.55 KB
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README.md
1.52 KB
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time_transformation_standardization_code.R
30.79 KB
Abstract
With urbanization reducing the amount of available wildlife habitat and outdoor recreation increasing the human activity within wildlife habitats, it is important to understand the effects of human activity on animal behavior. This study examined how the reduction in human presence in urban parks in Gainesville, Florida affected the temporal behaviors of medium- and large-bodied mammals and ground birds. Camera-trap surveys were conducted during (2020) and following (2023) the closure of urban parks that are typically open to human recreation due to Coronavirus 2019 (COVID-19), with the shutdown providing a unique opportunity to study wildlife under reduced human activity. We detected biologically significant shifts in activity patterns that were consistent with avoidance of increased presence of predators (bobcat, coyote, fox) and with avoidance of human activity (white-tailed deer) when the parks were re-opened. Temporal behavior pattern shifts can have significant effects on foraging/hunting, reproduction, and socialization as time of day is an important aspect to an animal’s niche and can ultimately affect population dynamics at a species and community level. These data may inform regulations on public recreation and wildlife population management within urban parks and the Florida Wildlife Corridor—the state’s best effort to offset the negative impacts of increasing population and development.
Dataset DOI: 10.5061/dryad.rjdfn2zr3
Description of the data and file structure
Camera trap data was organized using Agouti software and downloaded into an Excel file, for which the code is attached. This data was then analyzed using R, for which the file is also attached.
Files and variables
File: COVID.data_code.R
Description: Code for original camera trap data analysis.
File: time_transformation_standardization_code.R
Description: Updated code that accounts for seasonality following reviewer feedback.
File: CTdata_all_9.4.25.xlsx
Description: Compiled camera trap observations from Agouti.
Variables
- Site, stage (peak covid or post covid), name (observation ID), date, time, species, count
Code/software
Excel or any spreadsheet viewer for the camera trap data, and any document viewer for the R code. The camera trap data was used in the R analysis. The code provides details for which analysis it describes (following the "##") and includes the code for downloading any packages needed for the data analysis (like the 'overlap' package).
Access information
Camera trap R code source: Ridout, M. S., & Linkie, M. (2009). Estimating overlap of daily activity patterns from camera trap data. Journal of Agricultural, Biological, and Environmental Statistics, 14, 322-337.
