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

Acevedo-Trejos, Esteban, Cadier, Mathilde, Chakraborty, Subhendu, Chen, Bingzhang, Cheung, Shun Y., Grigoratou, Maria, Guill, Christian, Hassenrück, Christiane, Kerimoglu, Onur, Klauschies, Toni, Lindemann, Christian, Palacz, Artur, Ryabov, Alexei, Scotti, Marco , Smith, S. L., Vage, Selina and Prowe, A. E. Friederike (In Press / Accepted) Modelling approaches for capturing plankton diversity (MODIV), their societal applications and data needs. Open Access Frontiers in Marine Science . DOI 10.3389/fmars.2022.975414.

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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.

Document Type: Article
Keywords: species distribution models; Ecological network analysis; Individual-based models; Plankton functional type; acclimation; adaptation; Trait-based
Research affiliation: Leibniz
OceanRep > GEOMAR > FB2 Marine Biogeochemistry > FB2-BM Biogeochemical Modeling
IFREMER
OceanRep > GEOMAR > FB3 Marine Ecology > FB3-EV Marine Evolutionary Ecology
IOW
HGF-GFZ
Corresponding Author:
Corresponding Author Name
GEOMAR ID
Affiliation
Prowe, A. E. Friederike
Prowe, Friederike (Prowe, A. E. Friederike)
FB2-BM Biogeochemical Modeling
Main POF Topic: PT6: Marine Life
Refereed: Yes
Open Access Journal?: Yes
Publisher: Frontiers
Date Deposited: 02 Aug 2022 08:23
Last Modified: 02 Aug 2022 08:23
URI: https://oceanrep.geomar.de/id/eprint/56733

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