How linear features alter predator movement and the functional response.
KAUST Grant NumberKUK-CI013-04
Online Publication Date2012-01-18
Print Publication Date2012-04-06
Permanent link to this recordhttp://hdl.handle.net/10754/596790
MetadataShow full item record
AbstractIn areas of oil and gas exploration, seismic lines have been reported to alter the movement patterns of wolves (Canis lupus). We developed a mechanistic first passage time model, based on an anisotropic elliptic partial differential equation, and used this to explore how wolf movement responses to seismic lines influence the encounter rate of the wolves with their prey. The model was parametrized using 5 min GPS location data. These data showed that wolves travelled faster on seismic lines and had a higher probability of staying on a seismic line once they were on it. We simulated wolf movement on a range of seismic line densities and drew implications for the rate of predator-prey interactions as described by the functional response. The functional response exhibited a more than linear increase with respect to prey density (type III) as well as interactions with seismic line density. Encounter rates were significantly higher in landscapes with high seismic line density and were most pronounced at low prey densities. This suggests that prey at low population densities are at higher risk in environments with a high seismic line density unless they learn to avoid them.
CitationMcKenzie HW, Merrill EH, Spiteri RJ, Lewis MA (2012) How linear features alter predator movement and the functional response. Interface Focus 2: 205–216. Available: http://dx.doi.org/10.1098/rsfs.2011.0086.
SponsorsWe wish to acknowledge support from Alberta Ingenuity, NSERC C-GSM, the University of Alberta and the MITACS Mobility Fund (H.W.M.), an NSERC CRO-261091-02 (E.H.M.), NSERC Discovery and MITACS Project Grants (R.J.S.), NSERC Discovery and Accelerator Grants and a Canada Research Chair (M. A. L.). This publication was based on the work supported in part by Award no. KUK-CI013-04 made by King Abdullah University of Science and Technology (KAUST; M.A.L.). We thank N. Webb for providing helpful feedback, H. Beyer for assisting with the GIS analysis and J. Berger for field expertise.
PublisherThe Royal Society
PubMed Central IDPMC3293201
CollectionsPublications Acknowledging KAUST Support
Except where otherwise noted, this item's license is described as This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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