Projects per year
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 language | English |
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Article number | 975414 |
Number of pages | 9 |
Journal | Frontiers in Marine Science |
Volume | 9 |
Early online date | 16 Aug 2022 |
DOIs | |
Publication status | Published - 16 Aug 2022 |
Keywords
- species distibution models
- ecological network analysis
- individual-based models
- plankton functional type
- acclimation
- adaptation
- trait-based
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Dive into the research topics of 'Modelling approaches for capturing plankton diversity (MODIV), their societal applications and data needs'. Together they form a unique fingerprint.Projects
- 2 Finished
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How does phytoplankton diversity affect primary production in the ocean?
Chen, B. (Principal Investigator), Banas, N. (Co-investigator) & Heath, M. (Co-investigator)
1/04/21 → 31/03/24
Project: Research
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Modelling phytoplankton diversity and productivity across the South China Sea continental slope
Chen, B. (Principal Investigator)
Hong Kong University of Science and Technology (HKUST)
4/12/19 → 31/12/22
Project: Research