Affiliation:
1. Centre for the Advanced Study of Collective Behaviour Universität Konstanz Konstanz Germany
2. Department of Collective Behaviour Max Planck Institute of Animal Behavior Radolfzell Germany
3. Department of Evolutionary Biology and Environmental Studies University of Zurich Zurich Switzerland
4. Department of Biology University of Konstanz Konstanz Germany
5. Division of Ecology and Evolution, Research School of Biology Australian National University Canberra Australian Capital Territory Australia
Abstract
AbstractResearch Highlight: Mistrick, J., Veitch, J. S. M., Kitchen, S. M., Clague, S., Newman, B. C., Hall, R. J., Budischak, S. A., Forbes, K. M., & Craft, M. E. (2024). Effects of food supplementation and helminth removal on space use and spatial overlap in wild rodent populations. Journal of Animal Ecology. http://doi.org/10.1111/1365‐2656.14067. The spread of pathogens has been of long‐standing interest, even before dramatic outbreaks of avian influenza and the coronavirus pandemic spiked broad public interest. However, the dynamics of pathogen spread in wild populations are complex, with multiple effects shaping where animals go (their space use), population density and, more fundamentally, the resultant patterns of contacts (direct or indirect) among individuals. Thus, experimental studies exploring the dynamics of contact under different sets of conditions are needed. In the current field study, Mistrick et al. (2024) used a multifactorial experimental design, manipulating food availability and individual pathogen infection state in wild bank voles (Clethrionomys glareolus). They found that while food availability, individual traits and seasonality can affect how far individual voles moved, the degree of overlap between individual voles remained largely the same despite a high variation in population density—which itself was affected by food availability. These results highlight how biotic and abiotic factors can shape patterns of space use and balance the level of spatial overlap through multiple pathways.
Funder
Deutsche Forschungsgemeinschaft
Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung
H2020 European Research Council