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Identification of model structure for aquatic ecosystems using regionalized sensitivity analysis.

O O Osidele1, M B Beck

  • 1Warnell School of Forest Resources, University of Georgia, Athens, GA 30602, USA.

Water Science and Technology : a Journal of the International Association on Water Pollution Research
|June 2, 2001
PubMed
Summary

Regionalized Sensitivity Analysis (RSA) helps identify key processes in complex systems. Applied to Lake Oglethorpe, it revealed the crucial role of bacteria-mediated decomposition in its unique food web.

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Area of Science:

  • Ecology
  • Environmental Science
  • Systems Analysis

Background:

  • Lake Oglethorpe exhibits a unique microbial-dominated food web due to its warm temperate climate and extended growing season.
  • Conventional lake models often focus on phytoplankton, not microbial processes, which are critical in certain ecosystems.

Purpose of the Study:

  • To demonstrate the application of Regionalized Sensitivity Analysis (RSA) for identifying critical model components.
  • To refine a food web model for Lake Oglethorpe by incorporating microbial processes.

Main Methods:

  • Regionalized Sensitivity Analysis (RSA) was employed to rank hypotheses and identify critical elements for model revision.
  • A phytoplankton-based food web model was progressively updated based on RSA findings and system behavior.

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Main Results:

  • RSA identified bacteria-mediated decomposition as a critical process in Lake Oglethorpe's food web.
  • The analysis highlighted the importance of size-dependent selective consumption of phytoplankton and bacteria.

Conclusions:

  • RSA is effective for model structure identification and directing scientific investigation in poorly defined systems.
  • The study underscores the significance of microbial processes in warm temperate lake ecosystems and informs sampling strategies.