Data and code from: Impacts of urban heterogeneity in environmental and societal characteristics on coyote survival
Data files
Feb 25, 2026 version files 9.78 MB
-
cox_models.R
2.69 KB
-
model_df_1km_dryad.rdata
3.46 MB
-
model_df_250m_dryad.rdata
2.70 MB
-
model_df_2km_dryad.rdata
3.62 MB
-
README.md
2.36 KB
Abstract
Survival links individual-level responses to population, community, and ecosystem dynamics. Thus, understanding species’ survival responses to environmental change in urban areas is key for gaining insights into the ecology and management of wildlife in these rapidly expanding environments. Despite existing research on the broad-scale effects of urbanization on wildlife survival, little is known about how heterogeneity within urban areas impacts survival. We assessed the role of environmental and societal characteristics known to structure the distribution of resources and risks important for urban wildlife ecology on coyote (Canis latrans) survival in the Chicago metropolitan area. We conducted a time-varying Cox proportional hazards survival analysis using the telemetry data of collared animals. We found that human population density had a positive effect on survival rate, and that at high human population densities, median income had a negative effect on survival rate. We also found evidence that animals in areas with natural habitat features (e.g. natures preserves, city parks) have higher survival rates. This study adds to the growing literature demonstrating the significance of ecological heterogeneity in wildlife responses to urbanization and highlights society’s influence on wildlife survivorship in cities.
https://doi.org/10.5061/dryad.rfj6q57j4
Time-varying Cox proportional hazards model to evaluate the effect of environmental and societal characteristics on coyote survival in the Chicago metropolitan area.
Description of the data and file structure
Files containing data collected at three spatial scales (250 m, 1 km, and 2km) - model_df_250m_dryad.rdata, model_df_1km_dryad.rdata, model_df_2km_dryad.rdata
Each data frame contains the following columns:
- id - animal ID
- sex - female ("f") or male ("m")
- track_duration - difference between mortality date or last location and date of first location (used to estimate survival time)
- status - postmortem recovery (1) or censored (0)
- tstart - estimated "age" at time of location based on date of first location
- tstop - estimated "age" at time of next location based on date of first location
- sf - territorial status
- nat_z - standardized proportion of natural habitat in a circular area surrounding the location
- dist_z - standardized proportion of disturbed habitat in a circular area surrounding the location
- road_z - standardized proportion of road in a circular area surrounding the location
- med_inc_z - standardized median income in a circular area surrounding the location
- prop_w_z - standardized proportion of white residents in a circular area surrounding the location
- pop_dens_z - standardized proportion of white residents in a circular area surrounding the location
Code/Software
The following code was run using the survival package (version 3.8-3; Therneau 2024) in R (version 4.4.1; R Core Team 2024).
cox_models.R - Run time-varying Cox proportional hazards models
R Core Team (2024). _R: A Language and Environment for Statistical Computing_. Foundation for Statistical Computing, Vienna,Austria. https://cran.r-project.org/src/base/R-4/R-4.4.1.tar.gz
Therneau T (2024). A Package for Survival Analysis in R. R package version 3.8-3, https://cran.r-project.org/src/contrib/Archive/survival/survival_3.8-3.tar.gz.
