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Please use this identifier to cite or link to this item: http://scholars.ntou.edu.tw/handle/123456789/23825
Title: Modelling approaches for capturing plankton diversity (MODIV), their societal applications and data needs
Authors: 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. Lan Smith
Selina Våge
Friederike Prowe
Issue Date: Aug-2022
Journal Volume: 9
Source: Aquatic Microbiology
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.
URI: http://scholars.ntou.edu.tw/handle/123456789/23825
DOI: 10.3389/fmars.2022.975414
Appears in Collections:海洋生物研究所

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