Fractal landscape method: an alternative approach to measuring area-restricted searching behavior
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. H...
Published in: | Journal of Experimental Biology |
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Online Access: | https://research.usq.edu.au/item/9zv58/fractal-landscape-method-an-alternative-approach-to-measuring-area-restricted-searching-behavior https://research.usq.edu.au/download/95ffbe64be4ee2f7ef160483590d3fdef129c4b4124a82b4c22456ef2380ecc0/621698/Tremblay_Roberts_Costa_JEB_2007_PV.pdf https://doi.org/10.1242/jeb.02710 |
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ftusqland:oai:research.usq.edu.au:9zv58 2023-05-15T16:05:20+02:00 Fractal landscape method: an alternative approach to measuring area-restricted searching behavior Tremblay, Yann Roberts, Antony J. Costa, Daniel P. 2007 application/pdf https://research.usq.edu.au/item/9zv58/fractal-landscape-method-an-alternative-approach-to-measuring-area-restricted-searching-behavior https://research.usq.edu.au/download/95ffbe64be4ee2f7ef160483590d3fdef129c4b4124a82b4c22456ef2380ecc0/621698/Tremblay_Roberts_Costa_JEB_2007_PV.pdf https://doi.org/10.1242/jeb.02710 unknown https://research.usq.edu.au/download/95ffbe64be4ee2f7ef160483590d3fdef129c4b4124a82b4c22456ef2380ecc0/621698/Tremblay_Roberts_Costa_JEB_2007_PV.pdf https://doi.org/10.1242/jeb.02710 Tremblay, Yann, Roberts, Antony J. and Costa, Daniel P. 2007. "Fractal landscape method: an alternative approach to measuring area-restricted searching behavior." The Journal of Experimental Biology. 210 (6), pp. 935-945. https://doi.org/10.1242/jeb.02710 fractal dimension fractal landscape elephant seal albatross foraging prey-searching strategy tracking Argos top predator area-restricted search article PeerReviewed 2007 ftusqland https://doi.org/10.1242/jeb.02710 2023-01-03T13:17:57Z 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. Article in Journal/Newspaper Elephant Seal University of Southern Queensland: USQ ePrints Journal of Experimental Biology 210 6 935 945 |
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Open Polar |
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University of Southern Queensland: USQ ePrints |
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ftusqland |
language |
unknown |
topic |
fractal dimension fractal landscape elephant seal albatross foraging prey-searching strategy tracking Argos top predator area-restricted search |
spellingShingle |
fractal dimension fractal landscape elephant seal albatross foraging prey-searching strategy tracking Argos top predator area-restricted search Tremblay, Yann Roberts, Antony J. Costa, Daniel P. Fractal landscape method: an alternative approach to measuring area-restricted searching behavior |
topic_facet |
fractal dimension fractal landscape elephant seal albatross foraging prey-searching strategy tracking Argos top predator area-restricted search |
description |
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. |
format |
Article in Journal/Newspaper |
author |
Tremblay, Yann Roberts, Antony J. Costa, Daniel P. |
author_facet |
Tremblay, Yann Roberts, Antony J. Costa, Daniel P. |
author_sort |
Tremblay, Yann |
title |
Fractal landscape method: an alternative approach to measuring area-restricted searching behavior |
title_short |
Fractal landscape method: an alternative approach to measuring area-restricted searching behavior |
title_full |
Fractal landscape method: an alternative approach to measuring area-restricted searching behavior |
title_fullStr |
Fractal landscape method: an alternative approach to measuring area-restricted searching behavior |
title_full_unstemmed |
Fractal landscape method: an alternative approach to measuring area-restricted searching behavior |
title_sort |
fractal landscape method: an alternative approach to measuring area-restricted searching behavior |
publishDate |
2007 |
url |
https://research.usq.edu.au/item/9zv58/fractal-landscape-method-an-alternative-approach-to-measuring-area-restricted-searching-behavior https://research.usq.edu.au/download/95ffbe64be4ee2f7ef160483590d3fdef129c4b4124a82b4c22456ef2380ecc0/621698/Tremblay_Roberts_Costa_JEB_2007_PV.pdf https://doi.org/10.1242/jeb.02710 |
genre |
Elephant Seal |
genre_facet |
Elephant Seal |
op_relation |
https://research.usq.edu.au/download/95ffbe64be4ee2f7ef160483590d3fdef129c4b4124a82b4c22456ef2380ecc0/621698/Tremblay_Roberts_Costa_JEB_2007_PV.pdf https://doi.org/10.1242/jeb.02710 Tremblay, Yann, Roberts, Antony J. and Costa, Daniel P. 2007. "Fractal landscape method: an alternative approach to measuring area-restricted searching behavior." The Journal of Experimental Biology. 210 (6), pp. 935-945. https://doi.org/10.1242/jeb.02710 |
op_doi |
https://doi.org/10.1242/jeb.02710 |
container_title |
Journal of Experimental Biology |
container_volume |
210 |
container_issue |
6 |
container_start_page |
935 |
op_container_end_page |
945 |
_version_ |
1766401238447947776 |