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A Tropical Amphipod (Grandidierella bonnieroides) Tested with Granulometric Fractions and TIE Materials for Optimization of Toxicity Evaluations

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Abstract

A series of acute toxicity studies exposed G. bonnieroides to different sediment particles (SP), materials used in whole sediment toxicity identification evaluations (TIE), and environmental samples (ES). The results from different experimental steps have confirmed that no significant difference was found between treatments (SP and TIE) and their control samples, thus indicating that the species can be successfully used in this type of experiment. Due to the high survival percentage (97.5% average) observed in all test replicates, the species characteristics that enable it to be used as a standardized species, with high ecological representativeness in tropical ecosystem toxicity tests were discussed. Finally, environmental sample analyses were performed to validate the procedures and confirm the tested amphipod viability and suitability.

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Acknowledgements

The authors wish to express their appreciation to the National Council for Scientific and Technological Development (CNPq, Conselho Nacional de Desenvolvimento Científico e Tecnológico) for the research grant in Human Resources for Strategic Areas (RHAE, Recursos Humanos em Áreas Estratégicas) mode (process 350640/2014-9).

Funding

This study was funded by CNPq (grant number 350640/2014-9).

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  1. Aplysia Soluções Ambientais, Júlia Lacourt Penna, 335, Jd. Camburi, Vitória/ES, CEP: 29090-210, Brazil

    Ricardo Wagner Reis Filho, Guilherme Henrique Tavares, Ítalo da Silva Lima, Marcos Barreto Ramos & Tatiana Heid Furley

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  1. Ricardo Wagner Reis Filho
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  2. Guilherme Henrique Tavares
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Correspondence to Ricardo Wagner Reis Filho.

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Reis Fo, R.W has received research grants from CNPq. Reis Fo, R.W declares that he/she has no conflict of interest.

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Reis Filho, R.W., Tavares, G.H., da Silva Lima, Í. et al. A Tropical Amphipod (Grandidierella bonnieroides) Tested with Granulometric Fractions and TIE Materials for Optimization of Toxicity Evaluations. Thalassas 34, 191–198 (2018). https://doi.org/10.1007/s41208-017-0051-0

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