Literature DB >> 18707411

A model of phytoplankton blooms.

Amit Huppert1, Bernd Blasius, Lewi Stone.   

Abstract

A simple model that describes the dynamics of nutrient-driven phytoplankton blooms is presented. Apart from complicated simulation studies, very few models reported in the literature have taken this "bottom-up" approach. Yet, as discussed and justified from a theoretical standpoint, many blooms are strongly controlled by nutrients rather than by higher trophic levels. The analysis identifies an important threshold effect: a bloom will only be triggered when nutrients exceed a certain defined level. This threshold effect should be generic to both natural blooms and most simulation models. Furthermore, predictions are given as to how the peak of the bloom Pmax is determined by initial conditions. A number of counterintuitive results are found. In particular, it is shown that increasing initial nutrient or phytoplankton levels can act to decrease Pmax. Correct predictions require an understanding of such factors as the timing of the bloom and the period of nutrient buildup before the bloom.

Entities:  

Year:  2002        PMID: 18707411     DOI: 10.1086/324789

Source DB:  PubMed          Journal:  Am Nat        ISSN: 0003-0147            Impact factor:   3.926


  4 in total

1.  Coastal oceanography sets the pace of rocky intertidal community dynamics.

Authors:  B A Menge; J Lubchenco; M E S Bracken; F Chan; M M Foley; T L Freidenburg; S D Gaines; G Hudson; C Krenz; H Leslie; D N L Menge; R Russell; M S Webster
Journal:  Proc Natl Acad Sci U S A       Date:  2003-09-25       Impact factor: 11.205

2.  Recurring plankton bloom dynamics modeled via toxin-producing phytoplankton.

Authors:  Subhendu Chakraborty; Samrat Chatterjee; Ezio Venturino; J Chattopadhyay
Journal:  J Biol Phys       Date:  2008-06-11       Impact factor: 1.365

3.  Modelling and parameter inference of predator-prey dynamics in heterogeneous environments using the direct integral approach.

Authors:  Itai Dattner; Ezer Miller; Margarita Petrenko; Daniel E Kadouri; Edouard Jurkevitch; Amit Huppert
Journal:  J R Soc Interface       Date:  2017-01       Impact factor: 4.118

4.  Water temperature and mixing depth affect timing and magnitude of events during spring succession of the plankton.

Authors:  Stella Angela Berger; Sebastian Diehl; Herwig Stibor; Gabriele Trommer; Miriam Ruhenstroth; Angelika Wild; Achim Weigert; Christoph Gerald Jäger; Maren Striebel
Journal:  Oecologia       Date:  2006-09-21       Impact factor: 3.225

  4 in total

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