Literature DB >> 20921048

How far details are important in ecosystem modelling: the case of multi-limiting nutrients in phytoplankton-zooplankton interactions.

J-C Poggiale1, M Baklouti, B Queguiner, S A L M Kooijman.   

Abstract

We try to answer the question of to what extent details in nutrient uptake and phytoplankton physiology matter for population and community dynamics. To this end, we study how two nutrients interact in limiting phytoplankton growth. A popular formulation uses a product-rule for nutrient uptake, which we compare with that on the basis of synthesizing units. We first fit different nutrient uptake models to a dataset and conclude that the quantitative differences between the models are small. Then we study the sensitivity of phytoplankton growth and zooplankton-phytoplankton interactions (ZPi) models to uptake formulations. Two population models are compared; they are based on different assumptions on the relation between nutrient uptake and phytoplankton growth. We find that the population and community models are sensitive to uptake formulations. According to the uptake formulation used in the ZPi models, qualitative differences can be observed. Indeed, although two models based on functions with similar shapes have close equilibria, these can differ in stability properties. Since stability involves the derivatives of formulas, even if two formulas provide close values, large numerical differences in the stability criterion may occur after derivation. We conclude that mechanistic details can be of importance for community modelling.

Mesh:

Year:  2010        PMID: 20921048      PMCID: PMC2981976          DOI: 10.1098/rstb.2010.0165

Source DB:  PubMed          Journal:  Philos Trans R Soc Lond B Biol Sci        ISSN: 0962-8436            Impact factor:   6.237


  4 in total

1.  Stylized facts in microalgal growth: interpretation in a dynamic energy budget context.

Authors:  António Lorena; Gonçalo M Marques; S A L M Kooijman; Tânia Sousa
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2010-11-12       Impact factor: 6.237

2.  Dynamic energy budget theory and population ecology: lessons from Daphnia.

Authors:  Roger M Nisbet; Edward McCauley; Leah R Johnson
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2010-11-12       Impact factor: 6.237

3.  Community response to enrichment is highly sensitive to model structure.

Authors:  Gregor F Fussmann; Bernd Blasius
Journal:  Biol Lett       Date:  2005-03-22       Impact factor: 3.703

4.  A kinetic inhibition mechanism for maintenance.

Authors:  Caroline Tolla; Sebastiaan A L M Kooijman; Jean-Christophe Poggiale
Journal:  J Theor Biol       Date:  2006-09-12       Impact factor: 2.691

  4 in total
  10 in total

1.  Stylized facts in microalgal growth: interpretation in a dynamic energy budget context.

Authors:  António Lorena; Gonçalo M Marques; S A L M Kooijman; Tânia Sousa
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2010-11-12       Impact factor: 6.237

2.  Dynamic energy budget theory and population ecology: lessons from Daphnia.

Authors:  Roger M Nisbet; Edward McCauley; Leah R Johnson
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2010-11-12       Impact factor: 6.237

Review 3.  Dynamic energy budget theory restores coherence in biology.

Authors:  Tânia Sousa; Tiago Domingos; J-C Poggiale; S A L M Kooijman
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2010-11-12       Impact factor: 6.237

Review 4.  Subcellular metabolic organization in the context of dynamic energy budget and biochemical systems theories.

Authors:  S Vinga; A R Neves; H Santos; B W Brandt; S A L M Kooijman
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2010-11-12       Impact factor: 6.237

5.  Modelling the ecological niche from functional traits.

Authors:  Michael Kearney; Stephen J Simpson; David Raubenheimer; Brian Helmuth
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2010-11-12       Impact factor: 6.237

6.  Community dynamics and sensitivity to model structure: towards a probabilistic view of process-based model predictions.

Authors:  Clement Aldebert; Daniel B Stouffer
Journal:  J R Soc Interface       Date:  2018-12-05       Impact factor: 4.118

7.  Towards a simplification of models using regression trees.

Authors:  Y Eynaud; D Nerini; M Baklouti; J-C Poggiale
Journal:  J R Soc Interface       Date:  2013-02       Impact factor: 4.118

8.  Defining and detecting structural sensitivity in biological models: developing a new framework.

Authors:  M W Adamson; A Yu Morozov
Journal:  J Math Biol       Date:  2014-01-22       Impact factor: 2.259

9.  Distribution Patterns of Microbial Community Structure Along a 7000-Mile Latitudinal Transect from the Mediterranean Sea Across the Atlantic Ocean to the Brazilian Coastal Sea.

Authors:  Jin Zhou; Xiao Song; Chun-Yun Zhang; Guo-Fu Chen; Yong-Min Lao; Hui Jin; Zhong-Hua Cai
Journal:  Microb Ecol       Date:  2018-02-14       Impact factor: 4.552

10.  Development of a 3D coupled physical-biogeochemical model for the Marseille coastal area (NW Mediterranean Sea): what complexity is required in the coastal zone?

Authors:  Marion Fraysse; Christel Pinazo; Vincent Martin Faure; Rosalie Fuchs; Paolo Lazzari; Patrick Raimbault; Ivane Pairaud
Journal:  PLoS One       Date:  2013-12-04       Impact factor: 3.240

  10 in total

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