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  1. National Taiwan Ocean University Research Hub
  2. 生命科學院
  3. 海洋生物研究所
請用此 Handle URI 來引用此文件: http://scholars.ntou.edu.tw/handle/123456789/23825
標題: Modelling approaches for capturing plankton diversity (MODIV), their societal applications and data needs
作者: 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
公開日期: 八月-2022
卷: 9
來源出版物: Aquatic Microbiology
摘要: 
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
顯示於:海洋生物研究所

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