Literature DB >> 11127517

Stoichiometry in producer-grazer systems: linking energy flow with element cycling.

I Loladze1, Y Kuang, J J Elser.   

Abstract

All organisms are composed of multiple chemical elements such as carbon, nitrogen and phosphorus. While energy flow and element cycling are two fundamental and unifying principles in ecosystem theory, population models usually ignore the latter. Such models implicitly assume chemical homogeneity of all trophic levels by concentrating on a single constituent, generally an equivalent of energy. In this paper, we examine ramifications of an explicit assumption that both producer and grazer are composed of two essential elements: carbon and phosphorous. Using stoichiometric principles, we construct a two-dimensional Lotka-Volterra type model that incorporates chemical heterogeneity of the first two trophic levels of a food chain. The analysis shows that indirect competition between two populations for phosphorus can shift predator-prey interactions from a (+, -) type to an unusual (-, -) class. This leads to complex dynamics with multiple positive equilibria, where bistability and deterministic extinction of the grazer are possible. We derive simple graphical tests for the local stability of all equilibria and show that system dynamics are confined to a bounded region. Numerical simulations supported by qualitative analysis reveal that Rosenzweig's paradox of enrichment holds only in the part of the phase plane where the grazer is energy limited; a new phenomenon, the paradox of energy enrichment, arises in the other part, where the grazer is phosphorus limited. A bifurcation diagram shows that energy enrichment of producer-grazer systems differs radically from nutrient enrichment. Hence, expressing producer-grazer interactions in stoichiometrically realistic terms reveals qualitatively new dynamical behavior.

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Year:  2000        PMID: 11127517     DOI: 10.1006/bulm.2000.0201

Source DB:  PubMed          Journal:  Bull Math Biol        ISSN: 0092-8240            Impact factor:   1.758


  12 in total

1.  Effects of stoichiometric dietary mixing on Daphnia growth and reproduction.

Authors:  Kumud Acharya; Marcia Kyle; James J Elser
Journal:  Oecologia       Date:  2004-01-10       Impact factor: 3.225

2.  Modeling the dynamics of woody plant-herbivore interactions with age-dependent toxicity.

Authors:  Rongsong Liu; Stephen A Gourley; Donald L DeAngelis; John P Bryant
Journal:  J Math Biol       Date:  2011-10-08       Impact factor: 2.259

3.  Foraging behavior by Daphnia in stoichiometric gradients of food quality.

Authors:  Greg S Schatz; Edward McCauley
Journal:  Oecologia       Date:  2007-07-12       Impact factor: 3.225

4.  Global analysis of a stoichiometric producer-grazer model with Holling type functional responses.

Authors:  Xiong Li; Hao Wang; Yang Kuang
Journal:  J Math Biol       Date:  2011-01-14       Impact factor: 2.259

5.  A mathematical model of algae growth in a pelagic-benthic coupled shallow aquatic ecosystem.

Authors:  Jimin Zhang; Junping Shi; Xiaoyuan Chang
Journal:  J Math Biol       Date:  2017-08-01       Impact factor: 2.259

6.  Testing the growth rate hypothesis in vascular plants with above- and below-ground biomass.

Authors:  Qiang Yu; Honghui Wu; Nianpeng He; Xiaotao Lü; Zhiping Wang; James J Elser; Jianguo Wu; Xingguo Han
Journal:  PLoS One       Date:  2012-03-13       Impact factor: 3.240

7.  Stoichiometric mismatch causes a warming-induced regime shift in experimental plankton communities.

Authors:  Sebastian Diehl; Stella A Berger; Wojciech Uszko; Herwig Stibor
Journal:  Ecology       Date:  2022-04-11       Impact factor: 6.431

8.  Noise-Induced Transitions in a Nonsmooth Producer-Grazer Model with Stoichiometric Constraints.

Authors:  Sanling Yuan; Dongmei Wu; Guijie Lan; Hao Wang
Journal:  Bull Math Biol       Date:  2020-04-29       Impact factor: 1.758

9.  Predator-driven elemental cycling: the impact of predation and risk effects on ecosystem stoichiometry.

Authors:  Shawn J Leroux; Oswald J Schmitz
Journal:  Ecol Evol       Date:  2015-10-15       Impact factor: 2.912

10.  A study of tumour growth based on stoichiometric principles: a continuous model and its discrete analogue.

Authors:  M Saleem; Tanuja Agrawal; Afzal Anees
Journal:  J Biol Dyn       Date:  2014       Impact factor: 2.179

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