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Related Experiment Video

Updated: Jan 7, 2026

Linking Predation Risk, Herbivore Physiological Stress and Microbial Decomposition of Plant Litter
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Linking Predation Risk, Herbivore Physiological Stress and Microbial Decomposition of Plant Litter

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Variability in resource productivity drives community dynamics in intraguild predation systems.

Liyun Hou1

  • 1School of Mathematical Science, Yangzhou University, Yangzhou, 225002 China.

Bio Systems
|December 24, 2025
PubMed
Summary

Resource productivity fluctuations significantly impact food webs. Higher amplitude variability, not its period, drives predator dynamics, leading to biomass shifts and potential collapse, affecting overall ecosystem stability.

Keywords:
Ontogenetic diet shiftStage structureStochastic fluctuationsTri-trophic food chainVariable productivity

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Area of Science:

  • Ecology
  • Ecosystem Dynamics
  • Theoretical Ecology

Background:

  • Trophic energy transfer is crucial for community structure and stability.
  • Primary productivity fluctuations can threaten species persistence at higher trophic levels.

Purpose of the Study:

  • To investigate how resource productivity variability affects trophic interactions and biomass distribution using an intraguild predation model.
  • To identify the key drivers (amplitude vs. period) of these ecological dynamics.

Main Methods:

  • Utilized a stage-structured intraguild predation model incorporating resource, consumer, and predator dynamics.
  • Analyzed the effects of varying resource productivity amplitude (ψ) and period (Y) on population biomass and stability.
  • Examined the influence of maximum resource density (Rmax) and predator ontogenetic diet shift (θ) on system equilibrium states.

Main Results:

  • The amplitude (ψ) of resource productivity fluctuations, not the period (Y), primarily drives ecological dynamics.
  • Increased ψ caused predator biomass to shift from juvenile to adult dominance, leading to starvation-recovery cycles and regulating consumer biomass.
  • Trophic responses were asymmetric: resource biomass remained stable, consumer biomass increased modestly, but predator biomass declined with increasing ψ, collapsing at ψ > 0.5.
  • System equilibrium states (e.g., coexistence, predator-resource) were determined by Rmax and θ, with ψ modulating these interactions.

Conclusions:

  • Resource productivity variability, particularly its amplitude, profoundly reshapes trophic interactions and biomass distribution in ecological communities.
  • Predator populations are highly sensitive to resource fluctuations, experiencing cycles of boom and bust that can lead to collapse.
  • The interplay between resource availability (Rmax) and predator life-history traits (θ) dictates ecosystem stability, with variability (ψ) acting as a critical modulator.