Call for Papers for Special Issue: Development and Application of Bioaccumulation and Effect Models to Address Current and Emerging Issues in Ecotoxicology

A major challenge in ecotoxicology is understanding and predicting the impact of contaminant stressors across biological scales, across species, and cumulatively with other real-world stressors. To this end, models are an invaluable tool to address one or all of these questions, particularly mechanistic models that focus on underlying processes. Models are becoming increasingly sophisticated and can be applied to understand the many factors that affect contaminant bioaccumulation by individual species and through food webs. Models have also been developed to identify the factors that influence contaminant effects, both acute and chronic, and from the molecular scale to population-level responses. While experimental and field-based studies provide detailed information on contaminant effects, these are often short-term studies with low complexity (i.e., controlled). Extrapolation of measurements of contaminant accumulation and effects from these studies to the real world has obvious limitations. There are benefits to applying process-oriented models, particularly when predicting effects across the full lifespan of organisms. As such, models in ecotoxicology are increasingly important for both risk assessments and regulatory efforts to reduce risks from exposures to contaminants.

This special issue aims to bring together a collection of papers from leading research groups that will address the current or emerging issues related to furthering the development of bioaccumulation and biological effect models (e.g., toxicokinetics and/or toxicodynamics models) and their application.

We welcome manuscripts focused on contaminants that may be persistent, bioaccumulative, and/or toxic and are of ecological significance. Manuscripts should fall within one or more of the following topics of interest:

Bioaccumulation and biomagnification models, particularly those covering the full lifespan of organisms, Bioenergetic or other process-based models that improve characterization of contaminant accumulation and effects, Contaminant interactions with other environmental stressors, Models capable of extrapolating effects across biological scales (e.g., molecular to whole organism to population),Models extrapolating effects from the laboratory to the field (e.g., in vitro to in vivo),Models incorporating chemical modes of action,

Models relevant for regulatory efforts and risk assessments, including for example, those incorporating tissue-based effect thresholds, dose-response relationships, population models, and development of environmental quality guidelines,T oxicokinetic-toxicodynamic models for lethal and sublethal effects.

Manuscripts describing monitoring studies, the fate in the environment of contaminants, or use strictly statistical approaches for data analysis, with a limited focus on modelling of bioaccumulation or effects will not be considered for this special issue. Manuscripts investigating clinical contaminants will only be considered if they have ecological applications.

Submission deadline: June 30, 2022

Authors are encouraged to send a short abstract or tentative title to any of the Guest Editors in advance.

To submit your manuscript please go to the Archives of Environmental Contamination and Toxicology website ( and follow the procedures for manuscript submission. When queried about whether your submission is targeted for a special issue, identify that you want to submit for this special issue.

Author Guidelines and Manuscript Submission can be found at

We look forward to receiving your manuscripts and thank you in advance for considering a contribution to the special issue on “Development and Application of Bioaccumulation and Effect Models to Address Current and Emerging Issues in Ecotoxicology”.

Best wishes, Guest Editors:

Jean-Pierre Desforges, McGill University, Canada (

Brendan Hickie, Trent University, Canada ( Andre Gergs, Bayer, Germany (

Liesbeth Weijs, Griffith University, Australia (