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Updated: Mar 6, 2026

Author Spotlight: Understanding Riverine Nitrogen Impacts and Primary Productivity for Effective Nutrient Management
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Author Spotlight: Understanding Riverine Nitrogen Impacts and Primary Productivity for Effective Nutrient Management

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

Mathew A Leibold1

  • 1Department of Ecology and Evolution, University of Chicago, 1101 E. 57th St., Chicago, I1 60637 USA fax: (312) 702-9740; email: mleibold@pondside. uchicago.edu, , , , , , US.

Oecologia
|March 18, 2017
PubMed
Summary
This summary is machine-generated.

Resource competition theory predicts negative nutrient correlations, but lake surveys show positive ones. Acidic lakes, however, exhibit negative correlations, suggesting trade-offs involving light and grazing.

Keywords:
Key words Resource competitionHerbivoryLight competitionNutrient availability

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Area of Science:

  • Ecology
  • Limnology
  • Nutrient Cycling

Background:

  • Resource competition theory posits trade-offs between minimum nutrient requirements.
  • This theory predicts negative correlations between nutrient supplies and availabilities.
  • Previous studies have not consistently supported these predictions in aquatic ecosystems.

Purpose of the Study:

  • To test predictions of resource competition theory using empirical data from lake surveys.
  • To investigate the relationships between nutrient supplies and availabilities across different lake conditions.
  • To explore potential explanations for observed patterns of nutrient correlations.

Main Methods:

  • Analysis of five large-scale lake survey datasets.
  • Statistical examination of correlations between nutrient supplies and availabilities.
  • Comparative analysis of nutrient correlations in acidic versus buffered lakes.

Main Results:

  • Four out of five datasets showed predominantly positive correlations among nutrient availabilities and supplies.
  • A fifth dataset from an acidic lake region revealed significant negative correlations, aligning with competition theory.
  • Negative correlations were also observed between nutrients and light, and in acidic lakes concerning grazing losses.

Conclusions:

  • Observed positive nutrient correlations challenge simple resource competition models in many lake systems.
  • Trade-offs involving low light requirements and low nutrient requirements may regulate phytoplankton.
  • In acidic lakes, trade-offs between minimizing losses (grazing) and exploiting resources may be critical.