TY - JOUR
T1 - More realistic plankton simulation models will improve projections of ocean ecosystem responses to global change
AU - Flynn, Kevin J.
AU - Atkinson, Angus
AU - Beardall, John
AU - Berges, John A.
AU - Boersma, Maarten
AU - Brunet, Christophe
AU - Calbet, Albert
AU - Caron, Dave A.
AU - Dam, Hans G.
AU - Glibert, Patricia M.
AU - Hansen, Per Juel
AU - Jin, Peng
AU - Lønborg, Christian
AU - Mayor, Daniel J.
AU - Menden-Deuer, Susanne
AU - Mock, Thomas
AU - Mulholland, Margaret R.
AU - Needham, David M.
AU - Polimene, Luca
AU - Poulton, Alex J.
AU - Robinson, Carol
AU - Rokitta, Sebastian D.
AU - Rost, Björn
AU - Saiz, Enric
AU - Scanlan, David J.
AU - Schmidt, Katrin
AU - Sherr, Evelyn
AU - Stoecker, Diane K.
AU - Svensen, Camilla
AU - Thiele, Stefan
AU - Thingstad, Tron F.
AU - Våge, Selina
N1 - Funding information: This work was funded by UKRI Natural Environment Research Council (NE/X010783/1; Simulating Plankton - getting it right in the era of Digital Twins of The Ocean), under the direction of KJ Flynn.
PY - 2025/9
Y1 - 2025/9
N2 - Plankton models form the core of marine ecosystem simulators, with uses from regional resource and ecosystem management to climate change projections. In this Perspective, we suggest that stronger alignment of models with empirical knowledge about plankton physiology, diversity and trophic roles will improve model utility and the reliability of their outputs regarding biodiversity, ecophysiology, trophic dynamics and biogeochemistry. We recommend key steps to resolve the disconnect between empirical research and simulation models accounting for well-established plankton processes with an aim to increase the utility of such models for applied uses. A central challenge is characterizing the complexity of plankton diversity and activity in ways that are amenable to model incorporation. We argue that experts in empirical science are best placed to advise the development of next-generation models to address these challenges, and we propose a series of actions to achieve that engagement, including involvement of these experts in the design and exploitation of plankton digital twins.
AB - Plankton models form the core of marine ecosystem simulators, with uses from regional resource and ecosystem management to climate change projections. In this Perspective, we suggest that stronger alignment of models with empirical knowledge about plankton physiology, diversity and trophic roles will improve model utility and the reliability of their outputs regarding biodiversity, ecophysiology, trophic dynamics and biogeochemistry. We recommend key steps to resolve the disconnect between empirical research and simulation models accounting for well-established plankton processes with an aim to increase the utility of such models for applied uses. A central challenge is characterizing the complexity of plankton diversity and activity in ways that are amenable to model incorporation. We argue that experts in empirical science are best placed to advise the development of next-generation models to address these challenges, and we propose a series of actions to achieve that engagement, including involvement of these experts in the design and exploitation of plankton digital twins.
UR - http://www.scopus.com/inward/record.url?scp=105009846690&partnerID=8YFLogxK
U2 - 10.1038/s41559-025-02788-3
DO - 10.1038/s41559-025-02788-3
M3 - Article
SN - 2397-334X
VL - 9
SP - 1562
EP - 1570
JO - Nature Ecology and Evolution
JF - Nature Ecology and Evolution
IS - 9
ER -