64
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      The intrepid urban coyote: a comparison of bold and exploratory behavior in coyotes from urban and rural environments

      research-article

      Read this article at

      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          Coyotes ( Canis latrans) are highly adaptable, medium-sized carnivores that now inhabit nearly every large city in the United States and Canada. To help understand how coyotes have adapted to living in urban environments, we compared two ecologically and evolutionarily important behavioral traits (i.e., bold-shy and exploration-avoidance behavior) in two contrasting environments (i.e., rural and urban). Boldness is an individual’s reaction to a risky situation and exploration is an individual’s willingness to explore novel situations. Our results from both tests indicate that urban coyotes are bolder and more exploratory than rural coyotes and that within both populations there are individuals that vary across both spectrums. Bolder behavior in urban coyotes emerged over several decades and we speculate on possible processes (e.g., learning and selection) and site differences that could be playing a role in this behavioral adaptation. We hypothesize that an important factor is how people treat coyotes; in the rural area coyotes were regularly persecuted whereas in the urban area coyotes were rarely persecuted and sometimes positively rewarded to be in close proximity of people. Negative consequences of this behavioral adaptation are coyotes that become bold enough to occasionally prey on pets or attack humans.

          Related collections

          Most cited references52

          • Record: found
          • Abstract: not found
          • Article: not found

          Fitting Linear Mixed-Effects Models Usinglme4

            Bookmark
            • Record: found
            • Abstract: not found
            • Article: not found

            Urbanization, Biodiversity, and Conservation

              Bookmark
              • Record: found
              • Abstract: not found
              • Article: not found

              rptR: repeatability estimation and variance decomposition by generalized linear mixed-effects models

                Bookmark

                Author and article information

                Contributors
                stewart.w.breck@aphis.usda.gov
                Journal
                Sci Rep
                Sci Rep
                Scientific Reports
                Nature Publishing Group UK (London )
                2045-2322
                14 February 2019
                14 February 2019
                2019
                : 9
                : 2104
                Affiliations
                [1 ]ISNI 0000 0001 0725 8379, GRID grid.413759.d, USDA-WS-National Wildlife Research Center, ; 4101 Laporte Ave., Fort Collins, CO 80521 USA
                [2 ]ISNI 0000 0001 2185 8768, GRID grid.53857.3c, Department of Wildland Resources, , Utah State University, ; 5230 Old Main Hill, Logan, UT 84322 USA
                [3 ]Present Address: U.S. Geological Survey, Forest and Rangeland Ecosystem Science Center, 970 S. Lusk St., Boise, Idaho 83706 USA
                [4 ]ISNI 0000000122986657, GRID grid.34477.33, Present Address: School of Environmental and Forest Sciences, , University of Washington, ; Seattle, WA 98195 USA
                [5 ]USDA-WS-National Wildlife Research Center-Predator Research Facility, Millville, UT 84326 USA
                Author information
                http://orcid.org/0000-0003-4522-0157
                Article
                38543
                10.1038/s41598-019-38543-5
                6376053
                30765777
                fb4088f1-c927-4bfa-9bec-6dbce55495eb
                © The Author(s) 2019

                Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 17 April 2018
                : 28 December 2018
                Categories
                Article
                Custom metadata
                © The Author(s) 2019

                Uncategorized
                Uncategorized

                Comments

                Comment on this article