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A general framework for quantitatively assessing ecological stochasticity.

Daliang Ning1,2,3, Ye Deng1,2,4,5, James M Tiedje6

  • 1Institute for Environmental Genomics, Department of Microbiology and Plant Biology, University of Oklahoma, Norman, OK 73019.

Proceedings of the National Academy of Sciences of the United States of America
|August 9, 2019
PubMed
Summary
This summary is machine-generated.

A new index, normalized stochasticity ratio (NST), quantifies ecological stochasticity in community assembly. This ecological metric accurately distinguishes deterministic from stochastic processes, aiding biodiversity research.

Keywords:
community assemblymicrobial ecologystochasticity

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Area of Science:

  • Ecology
  • Community Ecology
  • Biodiversity Science

Background:

  • Community assembly mechanisms are key to understanding biodiversity patterns.
  • Both deterministic and stochastic processes influence community assembly, but quantifying their roles is difficult.

Purpose of the Study:

  • To develop a general mathematical framework for quantifying ecological stochasticity.
  • To introduce a novel index, the normalized stochasticity ratio (NST), to measure the balance between deterministic and stochastic processes in community assembly.

Main Methods:

  • Developed a novel index, normalized stochasticity ratio (NST), using a mathematical framework.
  • Tested NST with simulated communities under varying conditions (abiotic filtering, competition, noise, spatial scales).
  • Applied NST to analyze a groundwater microbial community's succession following organic carbon injection.

Main Results:

  • NST demonstrated high accuracy (0.90-1.00) and precision (0.91-0.99) in simulated scenarios, outperforming previous methods.
  • The index showed limitations at large spatial scales or high environmental noise.
  • Analysis of a groundwater microbial community revealed a shift from deterministic to stochastic assembly after organic carbon input, returning to deterministic as resources were consumed.

Conclusions:

  • The normalized stochasticity ratio (NST) provides a robust method for quantifying ecological stochasticity.
  • Community assembly dynamics can shift between deterministic and stochastic dominance in response to environmental changes.
  • The choice of null model algorithms and similarity metrics significantly impacts the quantification of ecological stochasticity.