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The need for standardization in ecological modeling for decision support: Lessons from ecological risk assessment

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  • Forbes, Valery E.

Abstract

Ecological models can be powerful tools to inform environmental decision-making by linking empirical data to environmental protection goals. For example, when assessing the risks of chemicals to ecological systems, we generally have laboratory toxicity data for a handful of species, whereas our goal is to ensure the persistence of populations of many species in the field. Population models can help link individual-level toxicity data to likely impacts on population dynamics and increase the ecological realism of risk assessments. Despite a long history of use in fisheries and conservation biology, population models have had limited use in ecological risk assessment. Here I discuss the advantages of using population models to inform ecological risk assessment and management decisions, the challenges in getting them more widely accepted, and the ways that these challenges are being overcome. Improvements in guidance for model development, documentation, evaluation, and visualization are increasing the transparency and reproducibility of models, which is leading to more widespread acceptance of the models by decision-makers. Using such guidance to develop a standardized suite of models that are fit for purpose and internationally accepted could greatly increase their use by regulatory agencies and the regulated industries.

Suggested Citation

  • Forbes, Valery E., 2024. "The need for standardization in ecological modeling for decision support: Lessons from ecological risk assessment," Ecological Modelling, Elsevier, vol. 492(C).
  • Handle: RePEc:eee:ecomod:v:492:y:2024:i:c:s0304380024001248
    DOI: 10.1016/j.ecolmodel.2024.110736
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    References listed on IDEAS

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    1. Chen, Shaoqing & Chen, Bin & Fath, Brian D., 2013. "Ecological risk assessment on the system scale: A review of state-of-the-art models and future perspectives," Ecological Modelling, Elsevier, vol. 250(C), pages 25-33.
    2. Hazlerigg, Charles R.E. & Tyler, Charles R. & Lorenzen, Kai & Wheeler, James R. & Thorbek, Pernille, 2014. "Population relevance of toxicant mediated changes in sex ratio in fish: An assessment using an individual-based zebrafish (Danio rerio) model," Ecological Modelling, Elsevier, vol. 280(C), pages 76-88.
    3. David Tarazona & Guillermo Tarazona & Jose V. Tarazona, 2021. "A Simplified Population-Level Landscape Model Identifying Ecological Risk Drivers of Pesticide Applications, Part One: Case Study for Large Herbivorous Mammals," IJERPH, MDPI, vol. 18(15), pages 1-22, July.
    4. Mintram, Kate S. & Brown, A. Ross & Maynard, Samuel K. & Liu, Chun & Parker, Sarah-Jane & Tyler, Charles R. & Thorbek, Pernille, 2018. "Assessing population impacts of toxicant-induced disruption of breeding behaviours using an individual-based model for the three-spined stickleback," Ecological Modelling, Elsevier, vol. 387(C), pages 107-117.
    5. Grimm, Volker & Berger, Uta & DeAngelis, Donald L. & Polhill, J. Gary & Giske, Jarl & Railsback, Steven F., 2010. "The ODD protocol: A review and first update," Ecological Modelling, Elsevier, vol. 221(23), pages 2760-2768.
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    1. Martin, Adrian P. & Dominguez, Angela Bahamondes & Baker, Chelsey A. & Baumas, Chloé M.J. & Bisson, Kelsey M. & Cavan, Emma & Freilich, Mara & Galbraith, Eric & Galí, Martí & Henson, Stephanie & Kvale, 2024. "When to add a new process to a model – and when not: A marine biogeochemical perspective," Ecological Modelling, Elsevier, vol. 498(C).

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