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Fractal characterization of three-dimensional zooplankton swimming trajectories
Several natural processes, such as swimming and flying, occur in a three-dimensional reference frame and thus describe three-dimensional trajectories. Analysing such tracks is no easy task. To this aim, here we propose a new technique, based on the box-counting approach, by which to estimate the thr...
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Published in: | Ecological modelling 2005-06, Vol.185 (1), p.51-63 |
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container_title | Ecological modelling |
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creator | Uttieri, Marco Zambianchi, Enrico Strickler, J. Rudi Mazzocchi, Maria Grazia |
description | Several natural processes, such as swimming and flying, occur in a three-dimensional reference frame and thus describe three-dimensional trajectories. Analysing such tracks is no easy task. To this aim, here we propose a new technique, based on the box-counting approach, by which to estimate the three-dimensional fractal dimension (
D
3D) of spatially-evolving routes. This technique has been preliminary tested on two sets of random walks (pure and correlated). Then, our approach has been utilised to characterise the swimming trajectories performed by the freshwater cladoceran
Daphnia pulex under two light conditions.
Morphologically different tracks attain statistically different
D
3D values, smoother paths having lower values than more tortuous ones; therefore, our proposed methodology proves to be fruitful in direct comparisons. Moreover
D
3D can highlight bizarre situations, in which differently convoluted tracks are characterised by the same degree of contortion. |
doi_str_mv | 10.1016/j.ecolmodel.2004.11.015 |
format | article |
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D
3D) of spatially-evolving routes. This technique has been preliminary tested on two sets of random walks (pure and correlated). Then, our approach has been utilised to characterise the swimming trajectories performed by the freshwater cladoceran
Daphnia pulex under two light conditions.
Morphologically different tracks attain statistically different
D
3D values, smoother paths having lower values than more tortuous ones; therefore, our proposed methodology proves to be fruitful in direct comparisons. Moreover
D
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D
3D) of spatially-evolving routes. This technique has been preliminary tested on two sets of random walks (pure and correlated). Then, our approach has been utilised to characterise the swimming trajectories performed by the freshwater cladoceran
Daphnia pulex under two light conditions.
Morphologically different tracks attain statistically different
D
3D values, smoother paths having lower values than more tortuous ones; therefore, our proposed methodology proves to be fruitful in direct comparisons. Moreover
D
3D can highlight bizarre situations, in which differently convoluted tracks are characterised by the same degree of contortion.</description><subject>Animal, plant and microbial ecology</subject><subject>Biological and medical sciences</subject><subject>Fractals</subject><subject>Fundamental and applied biological sciences. Psychology</subject><subject>General aspects. Techniques</subject><subject>Methods and techniques (sampling, tagging, trapping, modelling...)</subject><subject>Trajectories</subject><subject>Zooplankton</subject><issn>0304-3800</issn><issn>1872-7026</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2005</creationdate><recordtype>article</recordtype><recordid>eNqFkMtOwzAQRS0EEqXwDXQDu4QZx7HLsqp4SUhsYG25zpi6JHGxA4h-Pa5awZKVR9a58ziMnSOUCCivViXZ0HahobbkAKJELAHrAzbCqeKFAi4P2QgqEEU1BThmJymtAAD5lI_Y0200djDtxC7NtqLoN2bwoZ8ENxmWkahofEd9yl-Z2oSwbk3_NmQgffmu8_3rZIhmRXYI0VM6ZUfOtInO9u-YvdzePM_vi8enu4f57LGwlZJDQbauJbfKSGHQKHS2ISRLsnIVX0wVVlIo2yg0QgDnjtAtTENcgEIOwlVjdrnru47h_YPSoDufLLV5OQofSaOStRDXmEG1A20MKUVyeh19Z-K3RtBbgXqlfwXqrUCNqLPAnLzYjzDJmtZF01uf_uJS1TkPmZvtOMr3fnqKOllPvaXGx6xFN8H_O-sHDZGM0Q</recordid><startdate>20050610</startdate><enddate>20050610</enddate><creator>Uttieri, Marco</creator><creator>Zambianchi, Enrico</creator><creator>Strickler, J. Rudi</creator><creator>Mazzocchi, Maria Grazia</creator><general>Elsevier B.V</general><general>Elsevier</general><scope>IQODW</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7SN</scope><scope>C1K</scope><scope>F1W</scope><scope>H95</scope><scope>L.G</scope></search><sort><creationdate>20050610</creationdate><title>Fractal characterization of three-dimensional zooplankton swimming trajectories</title><author>Uttieri, Marco ; Zambianchi, Enrico ; Strickler, J. Rudi ; Mazzocchi, Maria Grazia</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c376t-ec5562c7a64a1a71fcde1ece63f32b8713647cd71a44022fe1fbade24071204f3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2005</creationdate><topic>Animal, plant and microbial ecology</topic><topic>Biological and medical sciences</topic><topic>Fractals</topic><topic>Fundamental and applied biological sciences. Psychology</topic><topic>General aspects. Techniques</topic><topic>Methods and techniques (sampling, tagging, trapping, modelling...)</topic><topic>Trajectories</topic><topic>Zooplankton</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Uttieri, Marco</creatorcontrib><creatorcontrib>Zambianchi, Enrico</creatorcontrib><creatorcontrib>Strickler, J. Rudi</creatorcontrib><creatorcontrib>Mazzocchi, Maria Grazia</creatorcontrib><collection>Pascal-Francis</collection><collection>CrossRef</collection><collection>Ecology Abstracts</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ASFA: Aquatic Sciences and Fisheries Abstracts</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) 1: Biological Sciences & Living Resources</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) Professional</collection><jtitle>Ecological modelling</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Uttieri, Marco</au><au>Zambianchi, Enrico</au><au>Strickler, J. Rudi</au><au>Mazzocchi, Maria Grazia</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Fractal characterization of three-dimensional zooplankton swimming trajectories</atitle><jtitle>Ecological modelling</jtitle><date>2005-06-10</date><risdate>2005</risdate><volume>185</volume><issue>1</issue><spage>51</spage><epage>63</epage><pages>51-63</pages><issn>0304-3800</issn><eissn>1872-7026</eissn><coden>ECMODT</coden><abstract>Several natural processes, such as swimming and flying, occur in a three-dimensional reference frame and thus describe three-dimensional trajectories. Analysing such tracks is no easy task. To this aim, here we propose a new technique, based on the box-counting approach, by which to estimate the three-dimensional fractal dimension (
D
3D) of spatially-evolving routes. This technique has been preliminary tested on two sets of random walks (pure and correlated). Then, our approach has been utilised to characterise the swimming trajectories performed by the freshwater cladoceran
Daphnia pulex under two light conditions.
Morphologically different tracks attain statistically different
D
3D values, smoother paths having lower values than more tortuous ones; therefore, our proposed methodology proves to be fruitful in direct comparisons. Moreover
D
3D can highlight bizarre situations, in which differently convoluted tracks are characterised by the same degree of contortion.</abstract><cop>Amsterdam</cop><pub>Elsevier B.V</pub><doi>10.1016/j.ecolmodel.2004.11.015</doi><tpages>13</tpages></addata></record> |
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source | ScienceDirect Journals |
subjects | Animal, plant and microbial ecology Biological and medical sciences Fractals Fundamental and applied biological sciences. Psychology General aspects. Techniques Methods and techniques (sampling, tagging, trapping, modelling...) Trajectories Zooplankton |
title | Fractal characterization of three-dimensional zooplankton swimming trajectories |
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