How linear features alter predator movement and the functional response.

Abstract:

:In 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.

journal_name

Interface Focus

journal_title

Interface focus

authors

McKenzie HW,Merrill EH,Spiteri RJ,Lewis MA

doi

10.1098/rsfs.2011.0086

subject

Has Abstract

pub_date

2012-04-06 00:00:00

pages

205-16

issue

2

eissn

2042-8898

issn

2042-8901

pii

rsfs20110086

journal_volume

2

pub_type

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