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

Esteban Acevedo-Trejos, Mathilde Cadier, Subhendu Chakraborty, Bingzhang Chen, Shun Yan Cheung, Maria Grigoratou, Christian Guill, Christiane Hassenrück, Onur Kerimoglu, Toni Klauschies, Christian Lindemann, Artur Palacz, Alexey Ryabov, Marco Scotti, S. Smith, Selina Våge, Friederike Prowe

Research output: Contribution to journalArticlepeer-review

5 Citations (Scopus)
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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.
Original languageEnglish
Article number975414
Number of pages9
JournalFrontiers in Marine Science
Volume9
Early online date16 Aug 2022
DOIs
Publication statusPublished - 16 Aug 2022

Keywords

  • species distibution models
  • ecological network analysis
  • individual-based models
  • plankton functional type
  • acclimation
  • adaptation
  • trait-based

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