Loading…

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...

Full description

Saved in:
Bibliographic Details
Published in:Ecological modelling 2005-06, Vol.185 (1), p.51-63
Main Authors: Uttieri, Marco, Zambianchi, Enrico, Strickler, J. Rudi, Mazzocchi, Maria Grazia
Format: Article
Language:English
Subjects:
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
cited_by cdi_FETCH-LOGICAL-c376t-ec5562c7a64a1a71fcde1ece63f32b8713647cd71a44022fe1fbade24071204f3
cites cdi_FETCH-LOGICAL-c376t-ec5562c7a64a1a71fcde1ece63f32b8713647cd71a44022fe1fbade24071204f3
container_end_page 63
container_issue 1
container_start_page 51
container_title Ecological modelling
container_volume 185
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
fullrecord <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_17654491</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><els_id>S0304380004005952</els_id><sourcerecordid>17654491</sourcerecordid><originalsourceid>FETCH-LOGICAL-c376t-ec5562c7a64a1a71fcde1ece63f32b8713647cd71a44022fe1fbade24071204f3</originalsourceid><addsrcrecordid>eNqFkMtOwzAQRS0EEqXwDXQDu4QZx7HLsqp4SUhsYG25zpi6JHGxA4h-Pa5awZKVR9a58ziMnSOUCCivViXZ0HahobbkAKJELAHrAzbCqeKFAi4P2QgqEEU1BThmJymtAAD5lI_Y0200djDtxC7NtqLoN2bwoZ8ENxmWkahofEd9yl-Z2oSwbk3_NmQgffmu8_3rZIhmRXYI0VM6ZUfOtInO9u-YvdzePM_vi8enu4f57LGwlZJDQbauJbfKSGHQKHS2ISRLsnIVX0wVVlIo2yg0QgDnjtAtTENcgEIOwlVjdrnru47h_YPSoDufLLV5OQofSaOStRDXmEG1A20MKUVyeh19Z-K3RtBbgXqlfwXqrUCNqLPAnLzYjzDJmtZF01uf_uJS1TkPmZvtOMr3fnqKOllPvaXGx6xFN8H_O-sHDZGM0Q</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>17654491</pqid></control><display><type>article</type><title>Fractal characterization of three-dimensional zooplankton swimming trajectories</title><source>ScienceDirect Journals</source><creator>Uttieri, Marco ; Zambianchi, Enrico ; Strickler, J. Rudi ; Mazzocchi, Maria Grazia</creator><creatorcontrib>Uttieri, Marco ; Zambianchi, Enrico ; Strickler, J. Rudi ; Mazzocchi, Maria Grazia</creatorcontrib><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.</description><identifier>ISSN: 0304-3800</identifier><identifier>EISSN: 1872-7026</identifier><identifier>DOI: 10.1016/j.ecolmodel.2004.11.015</identifier><identifier>CODEN: ECMODT</identifier><language>eng</language><publisher>Amsterdam: Elsevier B.V</publisher><subject>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</subject><ispartof>Ecological modelling, 2005-06, Vol.185 (1), p.51-63</ispartof><rights>2004 Elsevier B.V.</rights><rights>2005 INIST-CNRS</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c376t-ec5562c7a64a1a71fcde1ece63f32b8713647cd71a44022fe1fbade24071204f3</citedby><cites>FETCH-LOGICAL-c376t-ec5562c7a64a1a71fcde1ece63f32b8713647cd71a44022fe1fbade24071204f3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27924,27925</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&amp;idt=16751010$$DView record in Pascal Francis$$Hfree_for_read</backlink></links><search><creatorcontrib>Uttieri, Marco</creatorcontrib><creatorcontrib>Zambianchi, Enrico</creatorcontrib><creatorcontrib>Strickler, J. Rudi</creatorcontrib><creatorcontrib>Mazzocchi, Maria Grazia</creatorcontrib><title>Fractal characterization of three-dimensional zooplankton swimming trajectories</title><title>Ecological modelling</title><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.</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 &amp; Fisheries Abstracts (ASFA) 1: Biological Sciences &amp; Living Resources</collection><collection>Aquatic Science &amp; 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>
fulltext fulltext
identifier ISSN: 0304-3800
ispartof Ecological modelling, 2005-06, Vol.185 (1), p.51-63
issn 0304-3800
1872-7026
language eng
recordid cdi_proquest_miscellaneous_17654491
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
url http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-01T01%3A53%3A22IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Fractal%20characterization%20of%20three-dimensional%20zooplankton%20swimming%20trajectories&rft.jtitle=Ecological%20modelling&rft.au=Uttieri,%20Marco&rft.date=2005-06-10&rft.volume=185&rft.issue=1&rft.spage=51&rft.epage=63&rft.pages=51-63&rft.issn=0304-3800&rft.eissn=1872-7026&rft.coden=ECMODT&rft_id=info:doi/10.1016/j.ecolmodel.2004.11.015&rft_dat=%3Cproquest_cross%3E17654491%3C/proquest_cross%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c376t-ec5562c7a64a1a71fcde1ece63f32b8713647cd71a44022fe1fbade24071204f3%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=17654491&rft_id=info:pmid/&rfr_iscdi=true