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The environment to the rescue: can physics help predict predator-prey interactions?

Mehdi Cherif1, Ulrich Brose2,3, Myriam R Hirt2,3

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This study introduces a new framework to predict food web dynamics by integrating organism traits with environmental factors. This approach enhances understanding of ecosystem stability and responses to climate change.

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Area of Science:

  • Ecology
  • Theoretical Ecology
  • Ecosystem Dynamics

Background:

  • Ecological community stability and ecosystem functioning rely on species interaction patterns.
  • Current food web mapping methods lack mechanistic explanations for environmental influences on trophic interactions.
  • Predicting food web responses to anthropogenic pressures like climate change remains a challenge.

Purpose of the Study:

  • To develop a predictive framework for food web responses to environmental changes.
  • To integrate organism characteristics (body size, metabolism) with ecosystem physical properties.
  • To improve understanding of how abiotic factors influence ecological interactions.

Main Methods:

  • Synthesizing food web theory with concepts of body size, metabolism, and ecosystem physics.
  • Integrating the movement paradigm with a modular definition of predation sequences.
  • Developing a generic, modular model for predator-prey interactions.

Main Results:

  • The proposed framework integrates organism traits and environmental physics for a mechanistic understanding of food webs.
  • It emphasizes the role of movement in predator-prey dynamics and offers a modular approach to interaction variations.
  • The framework can predict impacts of factors like temperature, oxygen, wind, and turbidity.

Conclusions:

  • This integrated framework offers improved predictive capability for food web responses to environmental change.
  • It facilitates a better understanding of ecosystem resilience in a changing world.
  • The approach addresses limitations in current food web models concerning environmental influences.