Modelling approaches for capturing plankton diversity (MODIV), their societal applications and data needs
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 pl...
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Online Access: | https://zenodo.org/record/8131548 https://doi.org/10.3389/fmars.2022.975414 |
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ftzenodo:oai:zenodo.org:8131548 2023-07-30T03:59:43+02:00 Modelling approaches for capturing plankton diversity (MODIV), their societal applications and data needs Acevedo-Trejos, Esteban Cadier, Mathilde Chakraborty, Subhendu Chen, Bingzhang Cheung, Shun Yan Grigoratou, Maria Guill, Christian Hassenrück, Christiane Kerimoglu, Onur Klauschies, Toni Lindemann, Christian Palacz, Artur Piotr Ryabov, Alexey Scotti, Marco Smith, S. Lan Våge, Selina Prowe, Friederike 2022-08-16 https://zenodo.org/record/8131548 https://doi.org/10.3389/fmars.2022.975414 eng eng info:eu-repo/grantAgreement/EC/H2020/817806/ info:eu-repo/grantAgreement/EC/H2020/869383/ https://zenodo.org/communities/ecotip-arctic https://zenodo.org/record/8131548 https://doi.org/10.3389/fmars.2022.975414 oai:zenodo.org:8131548 info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by/4.0/legalcode Frontiers in Marine Science species distribution models trait-based adaptation acclimation plankton functional type individual-based models ecological network analysis info:eu-repo/semantics/article publication-article 2022 ftzenodo https://doi.org/10.3389/fmars.2022.975414 2023-07-11T23:04:13Z 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. Article in Journal/Newspaper Arctic Zenodo Frontiers in Marine Science 9 |
institution |
Open Polar |
collection |
Zenodo |
op_collection_id |
ftzenodo |
language |
English |
topic |
species distribution models trait-based adaptation acclimation plankton functional type individual-based models ecological network analysis |
spellingShingle |
species distribution models trait-based adaptation acclimation plankton functional type individual-based models ecological network analysis Acevedo-Trejos, Esteban Cadier, Mathilde Chakraborty, Subhendu Chen, Bingzhang Cheung, Shun Yan Grigoratou, Maria Guill, Christian Hassenrück, Christiane Kerimoglu, Onur Klauschies, Toni Lindemann, Christian Palacz, Artur Piotr Ryabov, Alexey Scotti, Marco Smith, S. Lan Våge, Selina Prowe, Friederike Modelling approaches for capturing plankton diversity (MODIV), their societal applications and data needs |
topic_facet |
species distribution models trait-based adaptation acclimation plankton functional type individual-based models ecological network analysis |
description |
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. |
format |
Article in Journal/Newspaper |
author |
Acevedo-Trejos, Esteban Cadier, Mathilde Chakraborty, Subhendu Chen, Bingzhang Cheung, Shun Yan Grigoratou, Maria Guill, Christian Hassenrück, Christiane Kerimoglu, Onur Klauschies, Toni Lindemann, Christian Palacz, Artur Piotr Ryabov, Alexey Scotti, Marco Smith, S. Lan Våge, Selina Prowe, Friederike |
author_facet |
Acevedo-Trejos, Esteban Cadier, Mathilde Chakraborty, Subhendu Chen, Bingzhang Cheung, Shun Yan Grigoratou, Maria Guill, Christian Hassenrück, Christiane Kerimoglu, Onur Klauschies, Toni Lindemann, Christian Palacz, Artur Piotr Ryabov, Alexey Scotti, Marco Smith, S. Lan Våge, Selina Prowe, Friederike |
author_sort |
Acevedo-Trejos, Esteban |
title |
Modelling approaches for capturing plankton diversity (MODIV), their societal applications and data needs |
title_short |
Modelling approaches for capturing plankton diversity (MODIV), their societal applications and data needs |
title_full |
Modelling approaches for capturing plankton diversity (MODIV), their societal applications and data needs |
title_fullStr |
Modelling approaches for capturing plankton diversity (MODIV), their societal applications and data needs |
title_full_unstemmed |
Modelling approaches for capturing plankton diversity (MODIV), their societal applications and data needs |
title_sort |
modelling approaches for capturing plankton diversity (modiv), their societal applications and data needs |
publishDate |
2022 |
url |
https://zenodo.org/record/8131548 https://doi.org/10.3389/fmars.2022.975414 |
genre |
Arctic |
genre_facet |
Arctic |
op_source |
Frontiers in Marine Science |
op_relation |
info:eu-repo/grantAgreement/EC/H2020/817806/ info:eu-repo/grantAgreement/EC/H2020/869383/ https://zenodo.org/communities/ecotip-arctic https://zenodo.org/record/8131548 https://doi.org/10.3389/fmars.2022.975414 oai:zenodo.org:8131548 |
op_rights |
info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by/4.0/legalcode |
op_doi |
https://doi.org/10.3389/fmars.2022.975414 |
container_title |
Frontiers in Marine Science |
container_volume |
9 |
_version_ |
1772810535683751936 |