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Journal Article

Modelling approaches for capturing plankton diversity (MODIV), their societal applications and data needs

Authors
/persons/resource/acevedo

Acevedo-Trejos,  Esteban
4.7 Earth Surface Process Modelling, 4.0 Geosystems, Departments, GFZ Publication Database, Deutsches GeoForschungsZentrum;

Cadier,  Mathilde
External Organizations;

Chakraborty,  Subhendu
External Organizations;

Chen,  Bingzhang
External Organizations;

Cheung,  Shun Yan
External Organizations;

Grigoratou,  Maria
External Organizations;

Guill,  Christian
External Organizations;

Hassenrück,  Christiane
External Organizations;

Kerimoglu,  Onur
External Organizations;

Klauschies,  Toni
External Organizations;

Lindemann,  Christian
External Organizations;

Palacz,  Artur
External Organizations;

Ryabov,  Alexey
External Organizations;

Scotti,  Marco
External Organizations;

Smith,  S. Lan
External Organizations;

Våge,  Selina
External Organizations;

Prowe,  Friederike
External Organizations;

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Fulltext (public)

5013026.pdf
(Publisher version), 5MB

Supplementary Material (public)
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Citation

Acevedo-Trejos, E., Cadier, M., Chakraborty, S., Chen, B., Cheung, S. Y., Grigoratou, M., Guill, C., Hassenrück, C., Kerimoglu, O., Klauschies, T., Lindemann, C., Palacz, A., Ryabov, A., Scotti, M., Smith, S. L., Våge, S., Prowe, F. (2022): Modelling approaches for capturing plankton diversity (MODIV), their societal applications and data needs. - Frontiers in Marine Science, 9, 975414.
https://doi.org/10.3389/fmars.2022.975414


Cite as: https://gfzpublic.gfz-potsdam.de/pubman/item/item_5013026
Abstract
Ecosystem models need to capture biodiversity, because it is a fundamental determinant of food web dynamics and consequently of the cycling of energy and matter in ecosystems. In oceanic food webs, the plankton compartment encompasses by far most of the biomass and diversity. Therefore, capturing plankton diversity is paramount for marine ecosystem modelling. In recent years, many models have been developed, each representing different aspects of plankton diversity, but a systematic comparison remains lacking. Here we present established modelling approaches to study plankton ecology and diversity, discussing the limitations and strengths of each approach. We emphasize their different spatial and temporal resolutions and consider the potential of these approaches as tools to address societal challenges. Finally, we make suggestions as to how better integration of field and experimental data with modelling could advance understanding of both plankton biodiversity specifically and more broadly the response of marine ecosystems to environmental change, including climate change.