The density of anthropogenic features explains seasonal and behaviour-based functional responses in selection of linear features by a social predator

  • Karine E. Pigeon
  • , D. MacNearney
  • , M. Hebblewhite
  • , M. Musiani
  • , L. Neufeld
  • , J. Cranston
  • , G. Stenhouse
  • , F. Schmiegelow
  • , L. Finnegan

Research output: Contribution to journalArticlepeer-review

12 Scopus citations

Abstract

Anthropogenic linear features facilitate access and travel efficiency for predators, and can influence predator distribution and encounter rates with prey. We used GPS collar data from eight wolf packs and characteristics of seismic lines to investigate whether ease-of-travel or access to areas presumed to be preferred by prey best explained seasonal selection patterns of wolves near seismic lines, and whether the density of anthropogenic features led to functional responses in habitat selection. At a broad scale, wolves showed evidence of habitat-driven functional responses by exhibiting greater selection for areas near low-vegetation height seismic lines in areas with low densities of anthropogenic features. We highlight the importance of considering landscape heterogeneity and habitat characteristics, and the functional response in habitat selection when investigating seasonal behaviour-based selection patterns. Our results support behaviour in line with search for primary prey during summer and fall, and ease-of-travel during spring, while patterns of selection during winter aligned best with ease-of-travel for the less-industrialized foothills landscape, and with search for primary prey in the more-industrialized boreal landscape. These results highlight that time-sensitive restoration actions on anthropogenic features can affect the probability of overlap between predators and threatened prey within different landscapes.

Original languageEnglish
Article number11437
JournalScientific Reports
Volume10
Issue number1
DOIs
StatePublished - Dec 1 2020

Funding

This project was undertaken with the financial support of the Government of Canada under part of the National Conservation Plan/Dans le cadre du Plan de conservation national, ce projet a été réalisé avec l’appui financier du gouvernement du Canada (HSP6617, 6699, 7195). Additional support was provided by Alberta Environment and Parks, the Foothills Landscape Management Forum, the Sustainable Forestry Initiative (2013-003), partners of the fRI Research Caribou Program, and fRI Research. MH was funded through the NASA Arctic Boreal Vulnerability Experiment (ABoVE) grant # NNX15AW71A, and MM by Natural Sciences and Engineering Research Council of Canada (NSERC) and Alberta Upstream Petroleum Research Fund (AUPRF). Any opinions, findings and conclusions, or recommendations expressed herein do not necessarily reflect the views of funding entities, and funding entities had no involvement in the design of the study or in interpretation of results. GoA provided LiDAR and we are grateful to J. Stadt and D. Stepnisky for facilitating this process. D. Ghikas, C. Calihoo and G. Wilson (Environment Canada), and D. Hervieux (Alberta Environment and Parks) provided support and guidance for this project. J. Crough and J. Duval at fRI Research assisted with data management and GIS. We also acknowledge all of the individuals involved with project management and field data collection of the extensive animal GPS datasets used for this analysis.

FundersFunder number
HSP6617
National Aeronautics and Space AdministrationNNX15AW71A
2013-003

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