Literature DB >> 21088995

Law of the Minimum paradoxes.

Alexander N Gorban1, Lyudmila I Pokidysheva, Elena V Smirnova, Tatiana A Tyukina.   

Abstract

The "Law of the Minimum" states that growth is controlled by the scarcest resource (limiting factor). This concept was originally applied to plant or crop growth (Justus von Liebig, 1840, Salisbury, Plant physiology, 4th edn., Wadsworth, Belmont, 1992) and quantitatively supported by many experiments. Some generalizations based on more complicated "dose-response" curves were proposed. Violations of this law in natural and experimental ecosystems were also reported. We study models of adaptation in ensembles of similar organisms under load of environmental factors and prove that violation of Liebig's law follows from adaptation effects. If the fitness of an organism in a fixed environment satisfies the Law of the Minimum then adaptation equalizes the pressure of essential factors and, therefore, acts against the Liebig's law. This is the the Law of the Minimum paradox: if for a randomly chosen pair "organism-environment" the Law of the Minimum typically holds, then in a well-adapted system, we have to expect violations of this law.For the opposite interaction of factors (a synergistic system of factors which amplify each other), adaptation leads from factor equivalence to limitations by a smaller number of factors.For analysis of adaptation, we develop a system of models based on Selye's idea of the universal adaptation resource (adaptation energy). These models predict that under the load of an environmental factor a population separates into two groups (phases): a less correlated, well adapted group and a highly correlated group with a larger variance of attributes, which experiences problems with adaptation. Some empirical data are presented and evidences of interdisciplinary applications to econometrics are discussed. © Society for Mathematical Biology 2010

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Year:  2010        PMID: 21088995     DOI: 10.1007/s11538-010-9597-1

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


  10 in total

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3.  Toward an evolutionary model of cancer: Considering the mechanisms that govern the fate of somatic mutations.

Authors:  Andrii I Rozhok; James DeGregori
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4.  Finding Liebig's law of the minimum.

Authors:  Jinyun Tang; William J Riley
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Authors:  Andrii I Rozhok; Jennifer L Salstrom; James DeGregori
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6.  Evolutionary implications of Liebig's law of the minimum: Selection under low concentrations of two nonsubstitutable nutrients.

Authors:  Omar M Warsi; Daniel E Dykhuizen
Journal:  Ecol Evol       Date:  2017-06-08       Impact factor: 2.912

7.  A quantitative method for estimating the adaptedness in a physiological study.

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9.  Enhanced Bioremediation of Soil Artificially Contaminated with Petroleum Hydrocarbons after Amendment with Capra aegagrus hircus (Goat) Manure.

Authors:  T P Nwogu; C C Azubuike; C J Ogugbue
Journal:  Biotechnol Res Int       Date:  2015-12-06

10.  Community assembly and coexistence in communities of arbuscular mycorrhizal fungi.

Authors:  Kriszta Vályi; Ulfah Mardhiah; Matthias C Rillig; Stefan Hempel
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  10 in total

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