Making spatial-temporal marine ecosystem modelling better - A perspective.
Capacity building
Opinion
Spatial-temporal marine ecosystem modelling
Systematic model calibration
Systematic skill assessments
Journal
Environmental modelling & software : with environment data news
ISSN: 1364-8152
Titre abrégé: Environ Model Softw
Pays: England
ID NLM: 9891021
Informations de publication
Date de publication:
Nov 2021
Nov 2021
Historique:
accepted:
21
09
2021
entrez:
4
11
2021
pubmed:
5
11
2021
medline:
5
11
2021
Statut:
ppublish
Résumé
Marine Ecosystem Models (MEMs) provide a deeper understanding of marine ecosystem dynamics. The United Nations Decade of Ocean Science for Sustainable Development has highlighted the need to deploy these complex mechanistic spatial-temporal models to engage policy makers and society into dialogues towards sustainably managed oceans. From our shared perspective, MEMs remain underutilized because they still lack formal validation, calibration, and uncertainty quantifications that undermines their credibility and uptake in policy arenas. We explore why these shortcomings exist and how to enable the global modelling community to increase MEMs' usefulness. We identify a clear gap between proposed solutions to assess model skills, uncertainty, and confidence and their actual systematic deployment. We attribute this gap to an underlying factor that the ecosystem modelling literature largely ignores: technical issues. We conclude by proposing a conceptual solution that is cost-effective, scalable and simple, because complex spatial-temporal marine ecosystem modelling is already complicated enough.
Identifiants
pubmed: 34733111
doi: 10.1016/j.envsoft.2021.105209
pii: S1364-8152(21)00251-6
pmc: PMC8543074
doi:
Types de publication
Journal Article
Langues
eng
Pagination
105209Informations de copyright
© 2021 The Author(s).
Déclaration de conflit d'intérêts
The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.
Références
Ambio. 2020 Oct;49(10):1587-1600
pubmed: 31994026
Proc Natl Acad Sci U S A. 2019 Jun 25;116(26):12907-12912
pubmed: 31186360
J Mar Syst. 2009 Feb 20;76(1-2):4-15
pubmed: 28366997
Sci Rep. 2019 Aug 12;9(1):11609
pubmed: 31406130
PLoS One. 2014 Oct 09;9(10):e108243
pubmed: 25299245
Animal. 2020 Aug;14(S2):s223-s237
pubmed: 32141423
Sci Total Environ. 2018 Jan 15;612:1132-1140
pubmed: 28892857
Nature. 2013 Jan 17;493(7432):295-7
pubmed: 23325192
PLoS One. 2016 Jan 05;11(1):e0146467
pubmed: 26731540
Sci Rep. 2017 Oct 18;7(1):13438
pubmed: 29044134
Proc Natl Acad Sci U S A. 2020 Dec 8;117(49):30882-30891
pubmed: 33288709