Mechanistic Population Models for Ecological Risk Assessment and Decision Support: The Importance of Good Conceptual Model Diagrams.

Pop-GUIDE good modeling practice mechanistic effect models model visualization popcmd.com

Journal

Integrated environmental assessment and management
ISSN: 1551-3793
Titre abrégé: Integr Environ Assess Manag
Pays: United States
ID NLM: 101234521

Informations de publication

Date de publication:
28 Dec 2023
Historique:
medline: 29 12 2023
pubmed: 29 12 2023
entrez: 29 12 2023
Statut: aheadofprint

Résumé

The use of mechanistic population models as research and decision-support tools in ecology and ecological risk assessment is increasing. This growth has been facilitated by advances in technology, allowing the simulation of more complex systems, as well as by standardized approaches for model development, documentation, and evaluation. Mechanistic population models are particularly useful for simulating complex systems, but the required model complexity can make them challenging to communicate. Conceptual diagrams that summarize key model elements, as well as elements that were considered but not included, can facilitate communication and understanding of models and increase their acceptance as decision-support tools. Currently, however, there are no consistent standards for creating or presenting conceptual model diagrams, and both terminology and content vary widely. Here we argue that greater consistency in conceptual model diagram development and presentation is an important component of good modeling practice, and we provide recommendations, examples, and a free web app (pop-cmd.com) for achieving this for population models used for decision support in ecological risk assessments.

Identifiants

pubmed: 38155557
doi: 10.1002/ieam.4886
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Informations de copyright

This article is protected by copyright. All rights reserved.

Auteurs

Valery E Forbes (VE)

Department of Biological Sciences, Florida Atlantic University, Boca Raton, FL, USA.

Chiara Accolla (C)

Waterborne Environmental, Inc, Leesburg, Virginia, USA.

Thomas Banitz (T)

Department of Ecological Modelling, Helmholtz Centre for Environmental Research-UFZ, Leipzig, Germany.

Kristin Crouse (K)

Department of Ecology, Evolution and Behavior, University of Minnesota, St. Paul, MN, USA.

Nika Galic (N)

Syngenta Crop Protection AG, Basel, Switzerland.

Volker Grimm (V)

Department of Ecological Modelling, Helmholtz Centre for Environmental Research-UFZ, Leipzig, Germany.

Sandy Raimondo (S)

United States Environmental Protection Agency, Office of Research and Development, Gulf Breeze, Florida, USA.

Amelie Schmolke (A)

Waterborne Environmental, Inc, Leesburg, Virginia, USA.

Maxime Vaugeois (M)

Syngenta Crop Protection LLC, Greensboro, North Carolina, USA.

Classifications MeSH