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Mammals adjust diel activity across gradients of urbanization

  1. Travis Gallo  Is a corresponding author
  2. Mason Fidino
  3. Brian Gerber
  4. Adam A Ahlers
  5. Julia L Angstmann
  6. Max Amaya
  7. Amy L Concilio
  8. David Drake
  9. Danielle Gay
  10. Elizabeth W Lehrer
  11. Maureen H Murray
  12. Travis J Ryan
  13. Colleen Cassady St Clair
  14. Carmen M Salsbury
  15. Heather A Sander
  16. Theodore Stankowich
  17. Jaque Williamson
  18. J Amy Belaire
  19. Kelly Simon
  20. Seth B Magle
  1. Environmental Science and Policy, College of Science, George Mason University, United States
  2. Urban Wildlife Institute, Conservation and Science Department, Lincoln Park Zoo, United States
  3. Department of Natural Resource Science, The University of Rhode Island, United States
  4. Department of Horticulture and Natural Resources, Kansas State University, United States
  5. Department of Biological Sciences and Center for Urban Ecology and Sustainability, Butler University, United States
  6. Department of Biological Sciences, California State University Long Beach, United States
  7. Department of Environmental Science and Policy, St. Edward’s University, United States
  8. Department of Forest and Wildlife Ecology, University of Wisconsin-Madison, United States
  9. Austin Parks and Recreation, City of Austin, United States
  10. Department of Biological Sciences, University of Alberta, Canada
  11. Department of Geographical and Sustainability Sciences, University of Iowa, United States
  12. Department of Education & Conservation, Brandywine Zoo, United States
  13. The Nature Conservancy in Texas, United States
  14. Texas Parks and Wildlife, United States
Research Article
Cite this article as: eLife 2022;11:e74756 doi: 10.7554/eLife.74756
5 figures, 2 tables and 2 additional files

Figures

City-specific probability of activity for each species.

Gray points are city-specific estimates of the average probability of activity in each time category. The black point indicates the average probability of activity among cities and the horizontal lines are 95% credible interval for the average probability estimates among cities. Wider credible intervals indicate more variation among cities.

The predicted probability of activity in each time category at each sampling site (x-axis) the species was detected.

Each column on the x-axis is a stacked bar plot representing the probability of activity in each time category at each sampling site. For each bar plot, all categories sum to one. Sampling sites along the x-axis are ordered from the lowest probability of nocturnal activity to the highest.

Mean (circle) and 95% credible intervals of estimated coefficients from natural and anthropogenic features on temporal selection of deep night, night, dusk, and dawn relative to day.
Probability of nocturnal activity (night and deep night combined) across each of our natural and anthropogenic characteristics of the urban environment.

Solid line indicates the median predicted line and shaded areas are 95% credible interval. Darker shading represent the relationships whose odds ratios did not overlap 1.

Appendix 1—figure 1
US cities where remotely triggered wildlife cameras were deployed to assess diel patterns in urban mammals.

Tables

Table 1
The total number of detections for each species, number of cities each species was detected in, mean proportion of sites each species was detected at per city, and total number of detections in each time category for 8 urban mammal species across 10 US metropolitan areas between January 2017 and December 2018.
SpeciesTotal detectionsNo. of cities species detectedMean proportion of sites species detected per cityNo. of ‘day’ detectionsNo. of ‘dawn’ detectionsNo. of ‘dusk’ detectionsNo. of ‘night’ detectionsNo. of ‘deep night’ detections
Bobcat10250.1629194518
Coyote273290.63671982561318389
Eastern cottontail16,102100.613984619109783172085
Raccoon34,931100.772638642376721,7236161
Red fox157080.5144135152744198
Striped skunk990100.24892498584195
Virginia opossum835780.7407116102750871720
White-tailed deer14,875100.56796565881642991137
Table 2
Odds ratios for each predictor variable and a 1 and 2 standard deviation increase across their values.

Bolded text indicates scenarios where the 95% credible intervals do not overlap 1.

Available greenspaceImpervious coverVegetation coverHuman pop. densityDaily avg. temp
1-Unit increase2-Unit increase1-Unit increase2-Unit increase1-Unit increase2-Unit increase1-Unit increase2-Unit increase1-Unit increase2-Unit increase
Bobcat1.011.031.041.091.001.001.271.640.940.89
(0.72–1.58)(0.52–2.58)(0.74–1.75)(0.54–3.18)(0.57–1.77)(0.30–3.51)(0.87–3.09)(0.74–10.4)(0.59–1.24)(0.35–1.56)
Coyote0.990.970.940.890.970.941.181.380.950.89
(0.88–1.10)(0.76–1.22)(0.80–1.09)(0.64–1.19)(0.84–1.09)(0.71–1.18)(1.04–1.35)(1.05–1.80)(0.87–1.03)(0.74–1.06)
Red fox0.790.620.940.871.000.991.001.000.920.83
(0.66–0.93)(0.44–0.86)(0.75–1.14)(0.53–1.30)(0.89–1.13)(0.78–1.27)(0.86–1.17)(0.73–1.38)(0.82–1.01)(0.66–1.02)
Raccoon0.990.991.101.201.021.030.930.870.810.63
(0.95–1.03)(0.91–1.07)(1.05–1.16)(1.10–1.34)(0.98–1.06)(0.96–1.11)(0.90–0.97)(0.81–0.94)(0.76–0.85)(0.55–0.70)
Striped skunk1.261.581.271.601.021.041.000.990.750.56
(0.93–1.77)(0.84–3.09)(0.93–1.87)(0.85–3.48)(0.86–1.22)(0.73–1.49)(0.79–1.22)(0.60–1.46)(0.59–0.92)(0.35–0.84)
Virginia opossum0.880.771.011.021.031.051.041.071.251.42
(0.81–0.96)(0.65–0.92)(0.91–1.12)(0.82–1.24)(0.96–1.10)(0.92–1.20)(0.97–1.11)(0.93–1.23)(1.14–1.36)(1.10–1.70)
Eastern cottontail0.990.991.031.050.930.870.900.810.570.31
(0.95–1.04)(0.90–1.07)(0.97–1.09)(0.94–1.18)(0.89–0.98)(0.78–0.96)(0.86–0.94)(0.75–0.89)(0.53–0.60)(0.27–0.34)
White-tailed deer1.051.111.141.311.041.090.920.850.880.77
(1.00–1.10)(1.01–1.22)(1.07–1.21)(1.16–1.47)(1.00–1.09)(0.99–1.19)(0.88–0.96)(0.78–0.92)(0.84–0.92)(0.70–0.84)

Additional files

Supplementary file 1

Additional data tables that summarize observations from remotely triggered wildlife cameras and environmental variables associated with sampling sites across 10 US cities.

https://cdn.elifesciences.org/articles/74756/elife-74756-supp1-v2.docx
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https://cdn.elifesciences.org/articles/74756/elife-74756-transrepform1-v2.docx

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