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Can fractal methods applied to video tracking detect the effects of deltamethrin pesticide or mercury on the locomotion behavior of shrimps?

Authors :
Tenorio BM
da Silva Filho EA
Neiva GSM
da Silva VA
Tenorio FDCAM
da Silva TJ
Silva ECSE
Nogueira RA
Source :
Ecotoxicology and environmental safety [Ecotoxicol Environ Saf] 2017 Aug; Vol. 142, pp. 243-249. Date of Electronic Publication: 2017 Apr 15.
Publication Year :
2017

Abstract

Shrimps can accumulate environmental toxicants and suffer behavioral changes. However, methods to quantitatively detect changes in the behavior of these shrimps are still needed. The present study aims to verify whether mathematical and fractal methods applied to video tracking can adequately describe changes in the locomotion behavior of shrimps exposed to low concentrations of toxic chemicals, such as 0.15µgL <superscript>-1</superscript> deltamethrin pesticide or 10µgL <superscript>-1</superscript> mercuric chloride. Results showed no change after 1min, 4, 24, and 48h of treatment. However, after 72 and 96h of treatment, both the linear methods describing the track length, mean speed, mean distance from the current to the previous track point, as well as the non-linear methods of fractal dimension (box counting or information entropy) and multifractal analysis were able to detect changes in the locomotion behavior of shrimps exposed to deltamethrin. Analysis of angular parameters of the track points vectors and lacunarity were not sensitive to those changes. None of the methods showed adverse effects to mercury exposure. These mathematical and fractal methods applicable to software represent low cost useful tools in the toxicological analyses of shrimps for quality of food, water and biomonitoring of ecosystems.<br /> (Copyright © 2017 Elsevier Inc. All rights reserved.)

Details

Language :
English
ISSN :
1090-2414
Volume :
142
Database :
MEDLINE
Journal :
Ecotoxicology and environmental safety
Publication Type :
Academic Journal
Accession number :
28419951
Full Text :
https://doi.org/10.1016/j.ecoenv.2017.03.051