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Abstract
The coronavirus disease 2019 (COVID-19) pandemic and respective shutdowns dramatically altered human activities, potentially changing human pressures on urban-dwelling animals. Here, we use such COVID-19-induced variation in human presence to evaluate, across multiple temporal scales, how urban birds from five countries changed their tolerance towards humans, measured as escape distance. We collected 6369 escape responses for 147 species and found that human numbers in parks at a given hour, day, week or year (before and during shutdowns) had a little effect on birds’ escape distances. All effects centered around zero, except for the actual human numbers during escape trial (hourly scale) that correlated negatively, albeit weakly, with escape distance. The results were similar across countries and most species. Our results highlight the resilience of birds to changes in human numbers on multiple temporal scales, the complexities of linking animal fear responses to human behavior, and the challenge of quantifying both simultaneously in situ.
A study on urban birds' tolerance towards humans highlights their resilience to changes in human numbers, induced by COVID-19 shutdowns, across multiple temporal scales.
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1 Technical University of Munich, TUM School of Life Sciences, Ecoclimatology, Freising, Germany (GRID:grid.6936.a) (ISNI:0000 0001 2322 2966); Technical University of Munich, Institute for Advanced Study, Garching, Germany (GRID:grid.6936.a) (ISNI:0000000123222966); Czech University of Life Sciences Prague, Kamýcká 129, Faculty of Environmental Sciences, Prague, Czechia (GRID:grid.15866.3c) (ISNI:0000 0001 2238 631X)
2 Czech University of Life Sciences Prague, Kamýcká 129, Faculty of Environmental Sciences, Prague, Czechia (GRID:grid.15866.3c) (ISNI:0000 0001 2238 631X)
3 University of California, 621 Young Drive, South, Department of Ecology and Evolutionary Biology, Los Angeles, USA (GRID:grid.468726.9) (ISNI:0000 0004 0486 2046)
4 University of Lapland, Arctic Centre, Rovaniemi, Finland (GRID:grid.37430.33) (ISNI:0000 0001 0744 995X)
5 Hungarian University of Agriculture and Life Sciences, Department of Plant Pathology, Institute of Plant Protection, Budapest, Hungary (GRID:grid.129553.9) (ISNI:0000 0001 1015 7851)
6 Czech University of Life Sciences Prague, Kamýcká 129, Faculty of Environmental Sciences, Prague, Czechia (GRID:grid.15866.3c) (ISNI:0000 0001 2238 631X); University of Zielona Góra, Institute of Biological Sciences, Zielona Góra, Poland (GRID:grid.28048.36) (ISNI:0000 0001 0711 4236)
7 Université Paris-Saclay, Ecologie Systématique Evolution, Université Paris-Sud, CNRS, AgroParisTech, Paris, France (GRID:grid.460789.4) (ISNI:0000 0004 4910 6535); Beijing Normal University, Ministry of Education Key Laboratory for Biodiversity Sciences and Ecological Engineering, College of Life Sciences, Beijing, China (GRID:grid.20513.35) (ISNI:0000 0004 1789 9964)
8 University of Veterinary Medicine Budapest, Department of Ecology, Institute of Biology, Budapest, Hungary (GRID:grid.483037.b) (ISNI:0000 0001 2226 5083)
9 Deakin University, Burwood Campus, Deakin Marine, School of Life and Environmental Sciences, Melbourne, Australia (GRID:grid.1021.2) (ISNI:0000 0001 0526 7079)
10 Technical University of Munich, TUM School of Life Sciences, Ecoclimatology, Freising, Germany (GRID:grid.6936.a) (ISNI:0000 0001 2322 2966); Technical University of Munich, Institute for Advanced Study, Garching, Germany (GRID:grid.6936.a) (ISNI:0000000123222966); Poznań University of Life Sciences, Institute of Zoology, Poznań, Poland (GRID:grid.410688.3) (ISNI:0000 0001 2157 4669)
11 Czech Academy of Sciences, Květná 8, Institute of Vertebrate Biology, Brno, Czech Republic (GRID:grid.418095.1) (ISNI:0000 0001 1015 3316); Faculty of Science, Charles University, Viničná 7, Department of Zoology, Prague, Czech Republic (GRID:grid.4491.8) (ISNI:0000 0004 1937 116X)