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1000 Titel
  • PhytoSFDM version 1.0.0: Phytoplankton Size and Functional Diversity Model
1000 Autor/in
  1. Acevedo-Trejos, Esteban |
  2. Brandt, Gunnar |
  3. Smith, S. Lan |
  4. Merico, Agostino |
1000 Erscheinungsjahr 2016
1000 LeibnizOpen
1000 Publikationstyp
  1. Artikel |
1000 Online veröffentlicht
  • 2016-11-14
1000 Erschienen in
1000 Quellenangabe
  • 9(11): 4071-4085
1000 FRL-Sammlung
1000 Copyrightjahr
  • 2016
1000 Lizenz
1000 Verlagsversion
  • http://dx.doi.org/10.5194/gmd-9-4071-2016 |
1000 Publikationsstatus
1000 Begutachtungsstatus
1000 Sprache der Publikation
1000 Abstract/Summary
  • Biodiversity is one of the key mechanisms that facilitate the adaptive response of planktonic communities to a fluctuating environment. How to allow for such a flexible response in marine ecosystem models is, however, not entirely clear. One particular way is to resolve the natural complexity of phytoplankton communities by explicitly incorporating a large number of species or plankton functional types. Alternatively, models of aggregate community properties focus on macroecological quantities such as total biomass, mean trait, and trait variance (or functional trait diversity), thus reducing the observed natural complexity to a few mathematical expressions. We developed the PhytoSFDM modelling tool, which can resolve species discretely and can capture aggregate community properties. The tool also provides a set of methods for treating diversity under realistic oceanographic settings. This model is coded in Python and is distributed as open-source software. PhytoSFDM is implemented in a zero-dimensional physical scheme and can be applied to any location of the global ocean. We show that aggregate community models reduce computational complexity while preserving relevant macroecological features of phytoplankton communities. Compared to species-explicit models, aggregate models are more manageable in terms of number of equations and have faster computational times. Further developments of this tool should address the caveats associated with the assumptions of aggregate community models and about implementations into spatially resolved physical settings (one-dimensional and three-dimensional). With PhytoSFDM we embrace the idea of promoting open-source software and encourage scientists to build on this modelling tool to further improve our understanding of the role that biodiversity plays in shaping marine ecosystems.
1000 Sacherschließung
lokal Phytoplankton
1000 Fächerklassifikation (DDC)
1000 Liste der Beteiligten
  1. http://orcid.org/0000-0003-4222-7062|https://frl.publisso.de/adhoc/creator/QnJhbmR0LCBHdW5uYXI=|https://frl.publisso.de/adhoc/creator/U21pdGgsIFMuIExhbg==|http://orcid.org/0000-0001-8095-8056
1000 Label
1000 Förderer
  1. Deutsche Forschungsgemeinschaft |
  2. Japan Science and Technology Agency |
1000 Fördernummer
  1. -
  2. -
1000 Förderprogramm
  1. DynaTrait (Schwerpunktprogramm 1704) subproject 19
  2. CREST
1000 Dateien
1000 Förderung
  1. 1000 joinedFunding-child
    1000 Förderer Deutsche Forschungsgemeinschaft |
    1000 Förderprogramm DynaTrait (Schwerpunktprogramm 1704) subproject 19
    1000 Fördernummer -
  2. 1000 joinedFunding-child
    1000 Förderer Japan Science and Technology Agency |
    1000 Förderprogramm CREST
    1000 Fördernummer -
1000 Objektart article
1000 Beschrieben durch
1000 @id frl:6403355.rdf
1000 Erstellt am 2017-07-05T12:08:47.093+0200
1000 Erstellt von 122
1000 beschreibt frl:6403355
1000 Bearbeitet von 288
1000 Zuletzt bearbeitet 2021-03-05T09:28:54.757+0100
1000 Objekt bearb. Fri Mar 05 09:28:54 CET 2021
1000 Vgl. frl:6403355
1000 Oai Id
  1. oai:frl.publisso.de:frl:6403355 |
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