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Marine Ecology Progress Series

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MEPS 739:257-268 (2024)  -  DOI: https://doi.org/10.3354/meps14616

OPINION PIECE
Bridging the gap: integrating models and observations for better ecosystem understanding

Morten D. Skogen1,*, Johanna M. Aarflot1, Luz María García-García2, Rubao Ji3, Manuel Ruiz-Villarreal2, Elin Almroth-Rosell4, Andrea Belgrano5,6, Déborah Benkort7, Ute Daewel7, Moa Edman4, René Friedland8, Shuang Gao1, Mariana Hill-Cruz9, Solfrid Sætre Hjøllo1, Martin Huret10, Julie B. Kellner3, Sonja van Leeuwen11, Ane Lopez de Gamiz-Zearra12, Marie Maar13, Erik Askov Mousing1, Myron A. Peck11, Ane Pastor Rollan14, Sévrine F. Sailley15, Sofia Saraiva4, Cassie Speakman14, Tineke Troost16, Veli Çağlar Yumruktepe17

1Ecosystemprocesses Group, Institute of Marine Research, Pb.1870, 5817 Bergen, Norway
2Instituto Español de Oceanografía (IEO, CSIC), Centro Oceanográfico de A Coruña, 15001 A Coruña, Spain
3Biology Department, Woods Hole Oceanographic Institution, Woods Hole, MA 02543, USA
4Swedish Meteorological and Hydrological Institute, 601 76 Norrköping, Sweden
5Swedish University of Agricultural Sciences, Department of Aquatic Resources, Institute of Marine Research, Turistgatan 5, 453 30 Lysekil, Sweden
6Swedish Institute for the Marine Environment (SIME), University of Gothenburg, Box 260, 405 30 Gothenburg, Sweden
7Helmholtz-Zentrum Hereon, Institute of Coastal Systems-Analysis and Modelling, Max-Planck-Str. 1, 21502 Geesthacht, Germany
8Leibniz-Institute for Baltic Sea Research Warnemünde, Seestrasse 15, 18119 Rostock, Germany
9GEOMAR Helmholtz Centre for Ocean Research Kiel, Düsternbrooker Weg 20, 24105, Kiel, Germany
10DECOD (Ecosystem Dynamics and Sustainability), IFREMER, INRAE, Institut Agro, Brest, Pointe Du Diable, 29280 Plouzané, France
11Coastal Systems Department, Royal Netherlands Institute for Sea Research, PO Box 59, 1790 AB Den Burg (Texel), the Netherlands
12AZTI, Marine Research Division, Basque Research and Technology Alliance (BRTA), Txatxarramendi Ugartea z/g, 48395, Sukarrieta, Spain
13Department of Ecoscience, Aarhus University, Frederiksborgvej 399, 4000 Roskilde, Denmark
14School of Life & Environmental Sciences, Deakin University, Burwood, Victoria 3125, Australia
15Plymouth Marine Laboratory, Prospect Place, Plymouth, PL1 3DH, UK
16Deltares, PO Box 177, 2600 MH Delft, the Netherlands
17Nansen Environmental and Remote Sensing Center, Jahnebakken 3, 5007, Bergen, Norway
*Corresponding author:

ABSTRACT: Our understanding of complex marine ecosystem dynamics is often hindered by significant uncertainties and issues of representativeness associated with models and observations. Both observations and models provide a limited view of real-world complexities depending on what is specifically measured or simulated. When used together, they provide the ability to gain a broader understanding of important ecological processes. How to properly integrate models and observations while utilizing the advantages of both approaches remains a challenge. In this paper, we draw attention to commonly overlooked limitations of both observations and models, and use examples to illustrate potential strategies to mitigate bias, properly interpret results, and help improve both models and observations. We emphasize that proper validation of all data sources (models and observations) is necessary in all marine ecosystem studies, with a careful assessment of the spatio-temporal scales that the data represent.


KEY WORDS: Marine ecosystems · Models · Observations · Representativity · Validation


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Cite this article as: Skogen MD, Aarflot JM, García-García LM, Ji R and others (2024) Bridging the gap: integrating models and observations for better ecosystem understanding. Mar Ecol Prog Ser 739:257-268. https://doi.org/10.3354/meps14616

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