Articles | Volume 9, issue 11
https://doi.org/10.5194/gmd-9-4071-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/gmd-9-4071-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Model description paper
| 
14 Nov 2016
Model description paper |
| 14 Nov 2016
PhytoSFDM version 1.0.0: Phytoplankton Size and Functional Diversity Model
Esteban Acevedo-Trejos
CORRESPONDING AUTHOR
Systems Ecology Group, Leibniz Center for Tropical Marine Ecology, Fahrenheitstrasse 6, 28359 Bremen, Germany
Gunnar Brandt
Systems Ecology Group, Leibniz Center for Tropical Marine Ecology, Fahrenheitstrasse 6, 28359 Bremen, Germany
current address: Brockmann Consult, Max-Planck-Str. 7, 21052 Geesthacht, Germany
S. Lan Smith
Marine Ecosystem Dynamics Research Group, Research and Development Center for Global Change, Japan Agency for Marine-Earth Science and Technology, Yokohama, Japan
Agostino Merico
Systems Ecology Group, Leibniz Center for Tropical Marine Ecology, Fahrenheitstrasse 6, 28359 Bremen, Germany
Faculty of Physics & Earth Sciences, Jacobs University Bremen, Campus Ring 1, 28759 Bremen, Germany
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Cited
11 citations as recorded by crossref.
- Disentangling top-down drivers of mortality underlying diel population dynamics of Prochlorococcus in the North Pacific Subtropical Gyre S. Beckett et al. https://doi.org/10.1038/s41467-024-46165-3
- The role of microzooplankton trophic interactions in modelling a suite of mesocosm ecosystems B. Su et al. https://doi.org/10.1016/j.ecolmodel.2017.11.013
- A beta distribution-based moment closure enhances the reliability of trait-based aggregate models for natural populations and communities T. Klauschies et al. https://doi.org/10.1016/j.ecolmodel.2018.02.001
- Measures and Approaches in Trait-Based Phytoplankton Community Ecology – From Freshwater to Marine Ecosystems G. Weithoff & B. Beisner https://doi.org/10.3389/fmars.2019.00040
- Flexibility in Aquatic Food Web Interactions: Linking Scales and Approaches E. van Velzen et al. https://doi.org/10.1007/s10021-025-00968-7
- Ecological and environmental factors influencing exclusion patterns of phytoplankton size classes in lake systems S. To et al. https://doi.org/10.1016/j.ecocom.2024.101115
- Phytoplankton size diversity and ecosystem function relationships across oceanic regions E. Acevedo-Trejos et al. https://doi.org/10.1098/rspb.2018.0621
- SPEAD 1.0 – Simulating Plankton Evolution with Adaptive Dynamics in a two-trait continuous fitness landscape applied to the Sargasso Sea G. Le Gland et al. https://doi.org/10.5194/gmd-14-1949-2021
- The XSO framework (v0.1) and Phydra library (v0.1) for a flexible, reproducible, and integrated plankton community modeling environment in Python B. Post et al. https://doi.org/10.5194/gmd-17-1175-2024
- CITRATE 1.0: Phytoplankton continuous trait-distribution model with one-dimensional physical transport applied to the North Pacific B. Chen & S. Smith https://doi.org/10.5194/gmd-11-467-2018
- Trait selection and co-existence of phytoplankton in partially mixed systems: Trait based modelling and potential of an aggregated approach F. Peeters et al. https://doi.org/10.1371/journal.pone.0194076
11 citations as recorded by crossref.
- Disentangling top-down drivers of mortality underlying diel population dynamics of Prochlorococcus in the North Pacific Subtropical Gyre S. Beckett et al. https://doi.org/10.1038/s41467-024-46165-3
- The role of microzooplankton trophic interactions in modelling a suite of mesocosm ecosystems B. Su et al. https://doi.org/10.1016/j.ecolmodel.2017.11.013
- A beta distribution-based moment closure enhances the reliability of trait-based aggregate models for natural populations and communities T. Klauschies et al. https://doi.org/10.1016/j.ecolmodel.2018.02.001
- Measures and Approaches in Trait-Based Phytoplankton Community Ecology – From Freshwater to Marine Ecosystems G. Weithoff & B. Beisner https://doi.org/10.3389/fmars.2019.00040
- Flexibility in Aquatic Food Web Interactions: Linking Scales and Approaches E. van Velzen et al. https://doi.org/10.1007/s10021-025-00968-7
- Ecological and environmental factors influencing exclusion patterns of phytoplankton size classes in lake systems S. To et al. https://doi.org/10.1016/j.ecocom.2024.101115
- Phytoplankton size diversity and ecosystem function relationships across oceanic regions E. Acevedo-Trejos et al. https://doi.org/10.1098/rspb.2018.0621
- SPEAD 1.0 – Simulating Plankton Evolution with Adaptive Dynamics in a two-trait continuous fitness landscape applied to the Sargasso Sea G. Le Gland et al. https://doi.org/10.5194/gmd-14-1949-2021
- The XSO framework (v0.1) and Phydra library (v0.1) for a flexible, reproducible, and integrated plankton community modeling environment in Python B. Post et al. https://doi.org/10.5194/gmd-17-1175-2024
- CITRATE 1.0: Phytoplankton continuous trait-distribution model with one-dimensional physical transport applied to the North Pacific B. Chen & S. Smith https://doi.org/10.5194/gmd-11-467-2018
- Trait selection and co-existence of phytoplankton in partially mixed systems: Trait based modelling and potential of an aggregated approach F. Peeters et al. https://doi.org/10.1371/journal.pone.0194076
Saved (final revised paper)
Latest update: 01 Jun 2026
Short summary
Marine phytoplankton plays a prominent role in regulating Earth’s climate. Numerical models are important tools that help us investigate the interactions between these microbes and their environment. We proposed PhytoSFDM as an open-source model to quantify size structure and functional diversity of marine phytoplankton communities. This tool allows us, in a manageable and computationally efficient way, to study patterns in planktonic ecosystems and their feedbacks with a changing environment.
Marine phytoplankton plays a prominent role in regulating Earth’s climate. Numerical models...
