Fractal landscape method: an alternative approach to measuring area-restricted searching behavior

Tremblay, Yann and Roberts, Antony J. and Costa, Daniel P. (2007) Fractal landscape method: an alternative approach to measuring area-restricted searching behavior. Journal of Experimental Biology, 210. pp. 935-945. ISSN 0022-0949

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Abstract

Quantifying spatial and temporal patterns of prey searching is of primary importance for understanding animals' critical habitat and foraging specialization. In patchy environments, animals forage by exhibiting movement patterns consisting of area-restricted searching (ARS) at various scales. Here, we present a new method, the fractal landscape method, which describes the peaks and valleys of fractal dimension along the animal path. We describe and test the method on simulated tracks, and quantify the effect of track inaccuracies. We show that the ARS zones correspond to the peaks from this fractal landscape and that the method is near error-free when analyzing high-resolution tracks, such as those obtained using the Global Positioning System (GPS). When we used tracks of lower resolution, such as those obtained with the Argos system, 9.6–16.3% of ARS were not identified, and 1–25% of the ARS were found erroneously. The later type of error can be partially flagged and corrected. In addition, track inaccuracies erroneously increased the measured ARS size by a factor of 1.2 to 2.2. Regardless, the majority of the times and locations were correctly flagged as being in or out of ARS (from 83.8 to 89.5% depending on track quality). The method provides a significant new tool for studies of animals' foraging behavior and habitat selection, because it provides a method to precisely quantify each ARS separately, which is not possible with existing methods.


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Item Type: Article (Commonwealth Reporting Category C)
Refereed: Yes
Item Status: Live Archive
Additional Information: Published version deposited in accordance with the copyright policy of the publisher.
Depositing User: ePrints Administrator
Faculty / Department / School: Historic - Faculty of Sciences - Department of Maths and Computing
Date Deposited: 20 Apr 2010 11:55
Last Modified: 02 Jul 2013 23:48
Uncontrolled Keywords: fractal dimension; fractal landscape; elephant seal; albatross; foraging; prey-searching strategy; tracking; Argos; top predator; area-restricted search
Fields of Research (FOR2008): 06 Biological Sciences > 0602 Ecology > 060201 Behavioural Ecology
01 Mathematical Sciences > 0102 Applied Mathematics > 010202 Biological Mathematics
01 Mathematical Sciences > 0102 Applied Mathematics > 010299 Applied Mathematics not elsewhere classified
Socio-Economic Objective (SEO2008): E Expanding Knowledge > 97 Expanding Knowledge > 970101 Expanding Knowledge in the Mathematical Sciences
Identification Number or DOI: doi: 10.1242/jeb.02710 (erratum) doi: 10.1242/jeb.005462
URI: http://eprints.usq.edu.au/id/eprint/7526

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