Developing ecological scenarios for the prospective aquatic risk assessment of pesticides

Rico, Andreu; Brink, Paul J. Van den; Gylstra, R.; Focks, Andreas; Brock, T.C.M.

doi:10.1002/ieam.1718

Cited by 59 publications

(49 citation statements)

References 53 publications

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“…According to Rico et al 7. “unified” environmental scenarios consist of a combination of both biotic and abiotic parameters required to characterise direct and indirect exposure, effects, and recovery of species, therefore integrating both ecological scenarios and exposure scenarios.…”

Section: Integration Of Multiple Stressorsmentioning

confidence: 99%

“…“unified” environmental scenarios consist of a combination of both biotic and abiotic parameters required to characterise direct and indirect exposure, effects, and recovery of species, therefore integrating both ecological scenarios and exposure scenarios. The concept of exposure scenarios has been integrated in prospective ERAs for more than a decade in the EU31 and probabilistic exposure assessment through the use of parameter distributions has been used as a part of chemical risk assessment for more than 20 years72021222332. Despite this, to our knowledge, so far no regulatory submissions have actually used probabilistic approaches with EUSES (European Union System for the Evaluation of Substances)2122.…”

Section: Integration Of Multiple Stressorsmentioning

confidence: 99%

“…species composition, food availability, predation, parasitism) and the physical/habitat differences (e.g. hydrology, temperature)78. The incorporation of environmental scenarios into ERA will enable meaningful interpretation and extrapolation to different geographical regions.…”

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confidence: 99%

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Integrated presentation of ecological risk from multiple stressors

Goussen

Price

Rendal

et al. 2016

Sci Rep

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Current environmental risk assessments (ERA) do not account explicitly for ecological factors (e.g. species composition, temperature or food availability) and multiple stressors. Assessing mixtures of chemical and ecological stressors is needed as well as accounting for variability in environmental conditions and uncertainty of data and models. Here we propose a novel probabilistic ERA framework to overcome these limitations, which focusses on visualising assessment outcomes by construct-ing and interpreting prevalence plots as a quantitative prediction of risk. Key components include environmental scenarios that integrate exposure and ecology, and ecological modelling of relevant endpoints to assess the effect of a combination of stressors. Our illustrative results demonstrate the importance of regional differences in environmental conditions and the confounding interactions of stressors. Using this framework and prevalence plots provides a risk-based approach that combines risk assessment and risk management in a meaningful way and presents a truly mechanistic alternative to the threshold approach. Even whilst research continues to improve the underlying models and data, regulators and decision makers can already use the framework and prevalence plots. The integration of multiple stressors, environmental conditions and variability makes ERA more relevant and realistic.

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Section: Integration Of Multiple Stressorsmentioning

confidence: 99%

Section: Integration Of Multiple Stressorsmentioning

confidence: 99%

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Integrated presentation of ecological risk from multiple stressors

Goussen

Price

Rendal

et al. 2016

Sci Rep

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“…The selection of experimental plankton species referred to an approach for the development of ecological scenarios (Rico et al, 2016), with representative and functional species expected to be impacted by petroleum hydrocarbon exposure considered. P. helgolandica var.…”

Section: Plankton Species and Petroleum Hydrocarbon Used In Experimentsmentioning

confidence: 99%

A method linking the toxic effects at community-level with contaminant concentrations

Wang

Zhang

et al. 2016

Science of The Total Environment

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• We tested petroleum hydrocarbon ecotoxicological effects on a simplified community.• Concentration-response relationships at a community-level were constructed.• A deduced no-effect concentration representing ecological interaction was named TCPE.• TCPE of petroleum hydrocarbons was higher than PNEC calculated from SSD.• Ecological interactions reduce toxic effect of petroleum hydrocarbons on a community. In this study, we developed a method to quantify and link the toxic effects in community-level ecosystems with concentrations of petroleum hydrocarbons. The densities of Platymonas helgolandica var. tsingtaoensis, Isochrysis galbana, and Brachionus plicatilis in single-species tests and customized ecosystems were examined in response to a concentration gradient of petroleum hydrocarbons ranging from 0 to 8.0 mg L −1 . A three-population ecological model with interspecies competition-grazing relationships was used to characterize population sizes with concentrations of petroleum hydrocarbons. A threshold concentration of the simplified plankton ecosystem of 0.376 mg L −1 for petroleum hydrocarbons was calculated from the proposed model, which was higher than the no-effect concentration of 0.056 mg L −1 derived from the single-species toxicity tests and the predicted no-effect concentration of 0.076 mg L −1 calculated from the species sensitivity distribution. This finding indicates that interspecies competition and grazing reduced the toxic effect of petroleum hydrocarbons at the community level. The sensitivity analysis for model parameters demonstrates that plankton population biomasses are highly sensitive to filtration rates. Antagonism between interspecies interactions and petroleum hydrocarbon toxicity was attributed to the reduced filtration rate and zooplankton grazing pressure. The proposed method is a simple G R A P H I C

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“…The map then serves as the organising framework for the information used in the risk-assessment process. For prospective risk assessment, the development of environmental scenarios, which include ecological and exposure scenarios, may serve this role (EFSA PPR Panel 2014; Rico et al 2015). Establish a priori the relevant cultural and ecological protection goals that will govern the assessment and decisionmaking process.…”

Section: Future Risk-assessment Paradigmmentioning

confidence: 99%

New approaches to the ecological risk assessment of multiple stressors

Brink

Choung

Landis

et al. 2016

Mar. Freshwater Res.

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So as to assess how emerging science and new tools can be applied to study multiple stressors at a large (ecosystem) scale and to facilitate greater integration of approaches among different scientific disciplines, a workshop was organised on 10–12 September 2014 at the Sydney Institute of Marine Sciences, Sydney, Australia. The present paper discusses the limitations of the current risk-assessment approaches and how multiple stressors at large scales can be better evaluated in ecological risk assessments to inform the development of more efficient and preventive management policies based on adaptive management in the future. A future risk-assessment paradigm that overcomes these limitations is presented. This paradigm includes cultural and ecological protection goals, the development of ecological scenarios, the establishment of the relevant interactions among species, potential sources of stressors, their interactions and the development of cause–effect models. It is envisaged that this will be achievable through a greater integration of approaches among different scientific disciplines and through the application of new and emerging tools such as 'big data', ecological modelling and the incorporation of ecosystem service endpoints.

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Developing ecological scenarios for the prospective aquatic risk assessment of pesticides

Cited by 59 publications

References 53 publications

Integrated presentation of ecological risk from multiple stressors

Integrated presentation of ecological risk from multiple stressors

A method linking the toxic effects at community-level with contaminant concentrations

New approaches to the ecological risk assessment of multiple stressors

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