Predictive Ecotoxicology and Environmental Assessment

Amiard‐Triquet, Claude; Mouneyrac, Catherine

doi:10.1016/b978-0-12-800949-9.00019-x

Cited by 13 publications

(18 citation statements)

References 109 publications

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“…Effect indication with parasites is a much more intricate field in EP, as it usually concentrates on complex biotic responses. In classical ecotoxicological research physiological, behavioral or molecular changes are determined as a response to adverse environmental changes, often due to the presence and effects of pollutants [ 22 ] or habitat disturbance. If parasites are considered as effect indicators, applicable approaches mainly focus on direct effects of pollutants on the viability and longevity of free-swimming stages such as cercariae or on changes in population and community structure.…”

Section: Introductionmentioning

confidence: 99%

Parasite responses to pollution: what we know and where we go in ‘Environmental Parasitology’

et al. 2017

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Environmental parasitology deals with the interactions between parasites and pollutants in the environment. Their sensitivity to pollutants and environmental disturbances makes many parasite taxa useful indicators of environmental health and anthropogenic impact. Over the last 20 years, three main research directions have been shown to be highly promising and relevant, namely parasites as accumulation indicators for selected pollutants, parasites as effect indicators, and the role of parasites interacting with established bioindicators. The current paper focuses on the potential use of parasites as indicators of environmental pollution and the interactions with their hosts. By reviewing some of the most recent findings in the field of environmental parasitology, we summarize the current state of the art and try to identify promising ideas for future research directions. In detail, we address the suitability of parasites as accumulation indicators and their possible application to demonstrate biological availability of pollutants; the role of parasites as pollutant sinks; the interaction between parasites and biomarkers focusing on combined effects of parasitism and pollution on the health of their hosts; and the use of parasites as indicators of contaminants and ecosystem health. Therefore, this review highlights the application of parasites as indicators at different biological scales, from the organismal to the ecosystem.

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Section: Introductionmentioning

confidence: 99%

Parasite responses to pollution: what we know and where we go in ‘Environmental Parasitology’

et al. 2017

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“…The classical data described here was delivered by Amiard laboratory, related to the Aquatic Ecotoxicology research developed during the last decades. 15 The sample was divided into three aquariums under the same conditions of radioactivity. However, the three aquariums were subject to increase durations of contact with the radioactive pollutant:…”

Section: Study Samplementioning

confidence: 99%

Revisiting the partition of a set of numerical variables through a mixture of Watson distribution on the n-sphere and underlying factor analysis model

Gomes¹

2023

BBIJ

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A key step of any statistical multivariate analysis concerns the choice of variables in line with the main objectives of the study. Usually, the available procedures to face this problem are restricted to a-posteriori statistical analysis, using Bayesian approaches or stepwise selection procedures. The main objective of the present paper is to revisit a framework where the a-priori choice of variables makes sense under specific conditions and to propose a factor analysis model particularly adapted to structured quantitative big data. We have associated our complete sample of variables to a mixture of two bipolar Watson distributions defined on the n-sphere, W ( μ i , ξ i ) , i = 1 , 2 , where μ i is a direction parameter and ξ i is a concentration parameter. The likelihood estimates of the direction parameter μ i is just the first principal component associated of a PCA of cluster i. The identification of the mixture of Watson distribution was obtained by cluster analysis, namely a previous hierarchical cluster analysis followed by a k-means partition of the global sample of variables. These multivariate data were explained by an alternative factor analysis model potentially delivering directly interpretable solutions without the need of rotations procedures. The loadings of this factorial model were obtained by regression. The final results concerning communalities of the 16 variables showed that for a great part of them unit variance was quite well explained by the factorial model.

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“…The reaction to pollutants may occur at three different levels: 1) interaction of stressor with organisms cells, 2) activation of cells responding to the stressors, and 3) adaptive response to maintain functioning (failure to adapt may result in death of the cell / organism) (Piña and Barata, 2011). The contaminant dose is an equally important factor as lower levels may result in adaptation while higher levels may result in acute toxicity and physiological responses by the biota, that may ultimately lead to death (Piña and Barata 2011;Amiard-Triquet et al 2015).…”

Section: Biomonitoringmentioning

confidence: 99%

“…The majority of low-to-middle income countries (LMIC) in Asia, Africa, Latin America and Middle-East still follow this conventional practise (Mangadze et al, 2019;El Sayed et al 2020). Although chemical assessments are essential, they are limited by not considering the effects of 1) emerging contaminants 2) 'contaminant cocktails' or pollution mixtures 3) different bioavailability or concentrations of contaminants in soil, water, sediments or biota, and 4) eco-toxicity of chemical substances not routinely screened (Villares et al 2001;Gosavi et al, 2004;Amiard-Triquet et al 2015;Schöne & Krause, 2016;Prabhakaran et al, 2017). It also does not take in account the impact of chemical pollution on the functioning and survival of biological communities, which are potentially important as early warning indicators for human health risks (Gosavi et al, 2004;Milinkovitch et al, 2019).…”

Section: Introductionmentioning

confidence: 99%

Improving the assessment of polluted sites using an integrated bio-physico-chemical monitoring framework

et al. 2022

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Predictive Ecotoxicology and Environmental Assessment

Cited by 13 publications

References 109 publications

Parasite responses to pollution: what we know and where we go in ‘Environmental Parasitology’

Parasite responses to pollution: what we know and where we go in ‘Environmental Parasitology’

Revisiting the partition of a set of numerical variables through a mixture of Watson distribution on the n-sphere and underlying factor analysis model

Improving the assessment of polluted sites using an integrated bio-physico-chemical monitoring framework

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