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2030-01-01
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- IOC - Artigos de Periódicos [12973]
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DEBTOX THEORY AND MATRIX POPULATION MODELS AS HELPFUL TOOLS IN UNDERSTANDING THE INTERACTION BETWEEN TOXIC CYANOBACTERIA AND ZOOPLANKTON
DEBox models
Matrix population model
Bayesian inference
Moina micrura
Microcystis aeruginosa
Author
Affilliation
Universite´ de Lyon, F-69000, Lyon, Universite´ Lyon 1, CNRS, UMR5558, Laboratoire de Biome´trie et Biologie Evolutive, F-69622, Villeurbanne, France / Universite´ de Lyon, F-69000, Lyon, Ecole Nationale Ve´te´rinaire de Lyon, 1 avenue Bourgelat, 69280 Marcy l’Etoile, France.
Fundação Oswaldo Cruz. Instituto Oswaldo Cruz. Laboratório de Avaliação e Pormoção da Saúde Ambiental. Rio de Janeiro, RJ. Brasil.
Universite´ de Lyon, F-69000, Lyon, Ecole Nationale Ve´te´rinaire de Lyon, 1 avenue Bourgelat, 69280 Marcy l’Etoile, France.
Fundação Oswaldo Cruz. Instituto Oswaldo Cruz. Laboratório de Avaliação e Pormoção da Saúde Ambiental. Rio de Janeiro, RJ. Brasil.
Universite´ de Lyon, F-69000, Lyon, Ecole Nationale Ve´te´rinaire de Lyon, 1 avenue Bourgelat, 69280 Marcy l’Etoile, France.
Abstract
Bioassays were performed to find out how field samples of the toxic cyanobacteria Microcystis aeruginosa affect Moina micrura, a cladoceran found in the tropical Jacarepagua Lagoon (Rio de Janeiro, Brazil). The DEBtox (Dynamic Energy Budget theory applied to toxicity data) approach has been proposed for use in analysing chronic toxicity tests as an alternative to calculating the usual safety parameters (NOEC, ECx). DEBtox theory deals with the energy balance between physiological processes (assimilation, maintenance, growth and reproduction), and it can be used to investigate and compare various hypotheses concerning the mechanism of action of a toxicant. Even though the DEBtox framework was designed for standard toxicity bioassays carried out with standard species (fish, daphnids), we applied the growth and reproduction models to M. micrura, by adapting the data available using a weight-length allometric relationship. Our modelling approach appeared to be very relevant at the individual level, and confirmed previous conclusions about the toxic mechanism. In our study we also wanted to assess the toxic effects at the population level, which is a more relevant endpoint in risk assessment. We therefore incorporated both lethal and sublethal toxic effects in a matrix population model used to calculate the finite rate of population change as a continuous function of the exposure concentration. Alongside this calculation, we constructed a confidence band to predict the critical exposure concentration for population health. Finally, we discuss our findings with regard to the prospects for further refining the analysis of ecotoxicological data.
Keywords
AllometryDEBox models
Matrix population model
Bayesian inference
Moina micrura
Microcystis aeruginosa
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