Modelling approaches for capturing plankton diversity (MODIV), their societal applications and data needs
Acevedo-Trejos, Esteban and Cadier, Mathilde and Chakraborty, Subhendu and Chen, Bingzhang and Cheung, Shun Yan and Grigoratou, Maria and Guill, Christian and Hassenrück, Christiane and Kerimoglu, Onur and Klauschies, Toni and Lindemann, Christian and Palacz, Artur and Ryabov, Alexey and Scotti, Marco and Smith, S. and Våge, Selina and Prowe, Friederike (2022) Modelling approaches for capturing plankton diversity (MODIV), their societal applications and data needs. Frontiers in Marine Science, 9. p. 975414. 975414. ISSN 2296-7745 (https://doi.org/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.
ORCID iDs
Acevedo-Trejos, Esteban, Cadier, Mathilde, Chakraborty, Subhendu, Chen, Bingzhang ORCID: https://orcid.org/0000-0002-1573-7473, Cheung, Shun Yan, Grigoratou, Maria, Guill, Christian, Hassenrück, Christiane, Kerimoglu, Onur, Klauschies, Toni, Lindemann, Christian, Palacz, Artur, Ryabov, Alexey, Scotti, Marco, Smith, S., Våge, Selina and Prowe, Friederike;-
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Item type: Article ID code: 81918 Dates: DateEvent16 August 2022Published16 August 2022Published Online29 July 2022AcceptedSubjects: Geography. Anthropology. Recreation > Oceanography
Science > Zoology
Science > Natural history > Biology
Science > MicrobiologyDepartment: Faculty of Science > Mathematics and Statistics Depositing user: Pure Administrator Date deposited: 18 Aug 2022 13:22 Last modified: 30 Nov 2024 14:20 URI: https://strathprints.strath.ac.uk/id/eprint/81918