Literature DB >> 28307461

Do nutrient-competition models predict nutrient availabilities in limnetic ecosystems?

Mathew A Leibold1.   

Abstract

Recent theory on resource competition, predicated on the importance of hypothesized trade-offs between minimum requirements for nutrient resources, predicts that there should be negative correlations between the supply rate of major limiting nutrients and the availability of at least some secondary nutrients and/or among the availabilities of different limiting nutrients. However, an analysis of four data sets from large-scale surveys of lakes shows mostly positive correlations among the availabilities and supplies of nutrients. In contrast, a fifth data set, obtained in an area of high acidification, does show several important negative correlations that are consistent with the nutrient competition models. Further analyses suggest two possible explanations for the preponderance of positive correlation. Negative correlations between nutrients and light indicate that an important trade-off among species regulating phytoplankton may involve low light requirements versus low nutrient requirements. The existence of negative correlations in nutrient availabilities in acidic lakes (where herbivory appears less important than in buffered lakes) also suggests that another important trade-off may involve an ability to minimize loss rates (especially due to grazing) versus an overall ability to exploit nutrient resources.

Keywords:  Key words Resource competition ;  Herbivory;  Light competition ;  Nutrient availability 

Year:  1997        PMID: 28307461     DOI: 10.1007/s004420050141

Source DB:  PubMed          Journal:  Oecologia        ISSN: 0029-8549            Impact factor:   3.225


  3 in total

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2.  Light and phosphate competition between Cylindrospermopsis raciborskii and Microcystis aeruginosa is strain dependent.

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Journal:  Microb Ecol       Date:  2013-05-01       Impact factor: 4.552

3.  Microbiomes Reduce Their Host's Sensitivity to Interspecific Interactions.

Authors:  Sara L Jackrel; Kathryn C Schmidt; Bradley J Cardinale; Vincent J Denef
Journal:  mBio       Date:  2020-01-21       Impact factor: 7.867

  3 in total

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