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Fagan WF, Krishnan A, Liao Q, Fleming CH, Liao D, Lamb C, Patterson B, Wheeldon T, Martinez-Garcia R, Menezes JFS, Noonan MJ, Gurarie E, Calabrese JM. Intraspecific encounters can lead to reduced range overlap. MOVEMENT ECOLOGY 2024; 12:58. [PMID: 39215311 PMCID: PMC11365178 DOI: 10.1186/s40462-024-00501-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/04/2024] [Accepted: 08/20/2024] [Indexed: 09/04/2024]
Abstract
Direct encounters, in which two or more individuals are physically close to one another, are a topic of increasing interest as more and better movement data become available. Recent progress, including the development of statistical tools for estimating robust measures of changes in animals' space use over time, facilitates opportunities to link direct encounters between individuals with the long-term consequences of those encounters. Working with movement data for coyotes (Canis latrans) and grizzly bears (Ursus arctos horribilis), we investigate whether close intraspecific encounters were associated with spatial shifts in the animals' range distributions, as might be expected if one or both of the individuals involved in an encounter were seeking to reduce or avoid conflict over space. We analyze the movement data of a pair of coyotes in detail, identifying how a change in home range overlap resulting from altered movement behavior was apparently a consequence of a close intraspecific encounter. With grizzly bear movement data, we approach the problem as population-level hypothesis tests of the spatial consequences of encounters. We find support for the hypotheses that (1) close intraspecific encounters between bears are, under certain circumstances, associated with subsequent changes in overlap between range distributions and (2) encounters defined at finer spatial scales are followed by greater changes in space use. Our results suggest that animals can undertake long-term, large-scale spatial changes in response to close intraspecific encounters that have the potential for conflict. Overall, we find that analyses of movement data in a pairwise context can (1) identify distances at which individuals' proximity to one another may alter behavior and (2) facilitate testing of population-level hypotheses concerning the potential for direct encounters to alter individuals' space use.
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Affiliation(s)
- William F Fagan
- Department of Biology, University of Maryland, College Park, MD, USA.
| | - Ananke Krishnan
- Department of Biology, University of Maryland, College Park, MD, USA
| | - Qianru Liao
- Department of Biology, University of Maryland, College Park, MD, USA
| | - Christen H Fleming
- Department of Biology, University of Maryland, College Park, MD, USA
- Center for Advanced Systems Understanding (CASUS), Helmholtz-Zentrum Dresden-Rosendorf (HZDR), Görlitz, Germany
- Smithsonian Conservation Biology Institute, National Zoological Park, Front Royal, VA, USA
- Department of Biology, University of Central Florida, Orlando, FL, USA
| | - Daisy Liao
- Department of Biology, University of Maryland, College Park, MD, USA
| | - Clayton Lamb
- Department of Biology, University of British Columbia, Kelowna, BC, Canada
| | - Brent Patterson
- Ontario Ministry of Natural Resources and Forestry, Trent University, Peterborough, ON, Canada
| | - Tyler Wheeldon
- Ontario Ministry of Natural Resources and Forestry, Trent University, Peterborough, ON, Canada
| | - Ricardo Martinez-Garcia
- Center for Advanced Systems Understanding (CASUS), Helmholtz-Zentrum Dresden-Rosendorf (HZDR), Görlitz, Germany
- ICTP - South American Institute for Fundamental Research and Instituto de Física Teórica, Universidade Estadual Paulista - UNESP, São Paulo, SP, Brazil
| | - Jorge F S Menezes
- Center for Advanced Systems Understanding (CASUS), Helmholtz-Zentrum Dresden-Rosendorf (HZDR), Görlitz, Germany
- Feline Research Group, Mamirauá Institute for Sustainable Development, Tefé, AM, Brazil
| | - Michael J Noonan
- Department of Biology, The University of British Columbia Okanagan, Kelowna, BC, Canada
| | - Eliezer Gurarie
- Department of Environmental Biology, SUNY Environmental Science and Forestry, Syracuse, NY, USA
| | - Justin M Calabrese
- Department of Biology, University of Maryland, College Park, MD, USA
- Center for Advanced Systems Understanding (CASUS), Helmholtz-Zentrum Dresden-Rosendorf (HZDR), Görlitz, Germany
- Department of Ecological Modelling, Helmholtz Centre for Environmental Research-UFZ, Leipzig, Germany
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Eriksen A, Versluijs E, Fuchs B, Zimmermann B, Wabakken P, Ordiz A, Sunde P, Wikenros C, Sand H, Gillich B, Michler F, Nordli K, Carricondo-Sanchez D, Gorini L, Rieger S. A Standardized Method for Experimental Human Approach Trials on Wild Wolves. Front Ecol Evol 2022. [DOI: 10.3389/fevo.2022.793307] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
As wolves recolonize areas of Europe ranging from moderate to high anthropogenic impact, fear of wolves is a recurring source of conflict. Shared tools for evaluating wolf responses to humans, and comparing such responses across their range, can be valuable. Experiments in which humans approach wild wolves can increase our understanding of how wolves respond to humans, facilitating human-wolf coexistence. We have developed the first standardized protocol for evaluating wolf responses to approaching humans using high-resolution GPS data, and tested it on wild wolves. We present a field protocol for experimentally approaching GPS-collared wolves, a descriptive comparison of two statistical methods for detecting a measurable flight response, a tutorial for identifying wolf flight initiation and resettling positions, and an evaluation of the method when reducing GPS positioning frequency. The field protocol, a data collection form, and the tutorial with R code for extracting flight parameters are provided. This protocol will facilitate studies of wolf responses to approaching humans, applicable at a local, national, and international level. Data compiled in a standardized way from multiple study areas can be used to quantify the variation in wolf responses to humans within and between populations, and in relation to predictors such as social status, landscape factors, or human population density, and to establish a baseline distribution of wolf response patterns given a number of known predictors. The variation in wolf responses can be used to assess the degree to which results can be generalized to areas where GPS studies are not feasible, e.g., for predicting the range of likely wolf behaviors, assessing the likelihood of wolf-human encounters, and complementing existing tools for evaluating reports of bold wolves. Showing how wolves respond to human encounters should help demystify the behavior of wild wolves toward humans in their shared habitat.
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