Steenbeek, Jeroen, Buszowski, Joe, Chagaris, David, Christensen, Villy, Coll, Marta, Fulton, Elizabeth A., Katsanevakis, Stelios, Lewis, Kristy A., Mazaris, Antonios D., Macias, Diego, de Mutsert, Kim, Oldford, Greig, Pennino, Maria Grazia, Piroddi, Chiara, Romagnoni, Giovanni, Serpetti, Natalia, Shin, Yunne-Jai, Spence, Michael A. and Stelzenmüller, Vanessa (2021) Making spatial-temporal marine ecosystem modelling better – A perspective. Environmental Modelling & Software, 145 . p. 105209. DOI https://doi.org/10.1016/j.envsoft.2021.105209.

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Abstract

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.

Document Type: Article
Programme Area: PA1
Research affiliation: Affiliations > Not ZMT
Theoretical Ecology and Modelling > Resource Management
Refereed: Yes
Open Access Journal?: No
DOI etc.: https://doi.org/10.1016/j.envsoft.2021.105209
ISSN: 13648152
Date Deposited: 02 Nov 2021 11:07
Last Modified: 24 Nov 2021 12:50
URI: http://cris.leibniz-zmt.de/id/eprint/4757

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