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
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.
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Informations de copyright
This article is protected by copyright. All rights reserved.