Valery Forbes


  • Professor and Dean
  • FAU Biological Sciences
  • 561-297-3035
  • Boca Raton - Boca SE, 256


  • Ph.D., State University of New York at Stony Brook

Research Interests

  • Population modeling
  • Aquatic ecology & ecotoxicology
  • Impacts of toxic chemicals and other human stressors on ecological systems
  • Ecological risk assessment & management

Research Description

I am involved in developing modeling approaches that mechanistically link the impacts of toxic chemicals and other stressors across levels of biological organization. Whereas it is increasingly feasible to generate huge amounts of data on the effects of chemicals at the molecular and cellular levels organization, the consequences of such effects for things we care about (e.g., persistence of populations, ecosystem service delivery) are rarely straightforward.  This is where modeling can help. I collaborate extensively with researchers from industry, government, and academia and from multiple European countries and North America. Much of our work in recent years has focused on developing guidance for good modeling practice, together with case studies, to demonstrate how mechanistic models can add value to regulatory risk assessments, thereby improving decisions and policies related to managing chemicals and other stressors. In addition, I am currently collaborating with scientists from University of Massachusetts Medical School, University of Nevada Los Vegas, and the Broad Institute on a 5-year NSF-funded project (Epigenetic pathways to regulate homeostatic resilience: Model-based discovery of rules across diverse mammals). We are applying a common-garden framework to cultured cells from diverse mammals to uncover epigenetic responses that render cells of diverse species robust to variation in the cellular environment. RNA-seq, ATAC-seq, and cellular morphology and physiology are being used to assay the responses of cells from different species when exposed to a panel of variable oxygen, glucose, and temperature conditions. By analyzing these datasets using new comparative computational approaches within an evolutionary framework, the project will identify genes involved in strictly homeostatic versus flexible cell phenotypes. These genes will be modeled as “agents” in an agent-based modeling approach to distinguish between a "driver" hypothesis, with robustness coordinated by a few epigenotypes of large effect, or the alternate "small-impact" hypothesis, with robustness arising from many epigenotypes of individually small effect, and between the possibility of few versus many evolutionary paths to a given phenotype of homeostatic robustness.

Recent Publications

  • Accolla C, Schmolke A, Jacobson A, Roy C,  Forbes VE, Brain R, Galic N. 2022. Modeling pesticide effects on multiple threatened and endangered Cyprinid fish species: the role of life-history traits and ecology.  Ecologies
  • Raimondo S,  Forbes VE. 2022. Moving beyond risk quotients: advancing ecological risk assessment to reflect better, more robust and relevant methods.  Ecologies
  • Vaugeois M, Venturelli PA, Hummel SL,  Forbes VE.  2022. Population modeling to inform management and recovery efforts for lake sturgeon,  Acipenser fulvescens.  Integr Environ Assess Manage  DOI: 10.1002/ieam.4578
  • Jang J,  Forbes VE,  Sadowsky MJ. 2022. Probable role of  Cutibacterium acnes  in the gut of the polychaete  Capitella teleta.  Sci Total Environ  809: 151127.
  • Moore A, Galic N, Brain R, Hornbach D,  Forbes VE.  2021.Validation of freshwater mussel life-history strategies: A database and multivariate analysis of freshwater mussel life-history traits.  Aquat Conserv:Marine and Freshwater Ecosystems  31:3386-3402.
  • Raimondo S, Schmolke A, Pollesch N, Accolla C, Galic N, Moore A, Vaugeois M, Rueda-Cediel P, Kanarek A, Awkerman J, Forbes VE. 2021. Pop-GUIDE: Population modeling Guidance, Use, Interpretation, and Development for Ecological Risk Assessment.  Integr Environ Assess Manage  17: 767-784.
  • Accolla C, Vaugeois M, Grimm V, Moore AP, Rueda-Cediel P, Schmolke A,  Forbes VE. 2021. A review of key features and their implementation in unstructured, structured, and agent-based population models for ecological risk assessment.  Integr Environ Assess Manage  17: 521-540.
  • Vaugeois M, Venturelli PA, Hummel SL,  Forbes VE. 2021. A simulation-based evaluation of management actions to reduce the risk of contaminants of emerging concern (CECs) to walleye in the Great Lakes Basin.  Sci Total Environ  768: 144326.
  • Forbes VE, Agatz A, Ashauer R, Butt KR, Capowiez Y, Duquesne S, Ernst G, Focks A, Gergs A, Hosson ME, Holmstrup M, Johnston ASA, Meli M, Nickisch D, Pieper S, Rakel KJ, Reed M, Roembke J, Schafer RB, Thorbek P, Spurgeon DJ, van den Berg E, van Gestel CAM, Zorn MI, Roeben V. 2021. Mechanistic effect modeling of earthworms in the context of pesticide risk assessment: Synthesis of the FORESEE Workshop.  Integr Environ Assess Manage  17:352-363.
  • Accolla C,  Forbes VE. 2021. Temperature dependence of population responses to competition and metabolic stress: An agent-based model to inform ecological risk assessment in a changing climate.  Sci Total Environ  763: 144096.
  • Jang J, Hochstein R,  Forbes VE,  Sadowsky M. 2021. Bioturbation by the marine polychaete  Capitella teleta  alters the sediment microbial community by ingestion and defecation of sediment particles.  Sci Total Environ. 752: 142239.
  • Grimm V, Johnston ASA, Thulke H-H,  Forbes VE, Thorbek P. 2020. Three questions to ask before using model outputs for decision support.  Nature Communications  11: 4959.
  • Jang J,  Forbes VE, Sadowsky M. 2021. Lack of evidence for the role of gut microbiota in PAH biodegradation by the polychaete  Capitella teleta.  Sci Total Environ  725: 138356
  • Vaugeois M, Venturelli P, Hummel S, Accolla C,  Forbes VE. 2020. Population context matters: Predicting the effects of metabolic stress mediated by food availability and predation with an agent- and energy budget-based model.  Ecol Model  416: 108903.
  • Accolla C, Vaugeois M, Rueda-Cediel P, Moore A, Marques G, Marella P,  Forbes VE. 2020.DEB-tox and Data Gaps: Consequences for individual-level outputs.  Ecol Model  431: 109107.
  • Awkerman J, Raimondo S, Schmolke A, Galic N, Rueda-Cediel P, Kapo K, Accolla C, Vaugeois M,  Forbes VE. 2020. Guidance for developing amphibian population models for ecological risk assessment.  Integr Environ Assess Manag  16:223-233.
  • Goto D, Hamel M, Hammen J, Rugg M, Pegg M,  Forbes VE.  2020. Divergent density feedback control of migratory predator recovery following sex-biased perturbations.  Ecol Evol  10: 3954 – 3967.
  • Forbes VE, Calow P. 2020. How contaminants affect population dynamics. In: MC Newman (ed).  Fundamentals of Ecotoxicology, 5th  edn. CRC, Boca Raton, FL. Pp. 321-325.

Scholarly Activities