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A judgment and decision-making model for plant behavior.

Richard Karban1, John L Orrock2

  • 1Department of Entomology and Nematology, University of California, Davis, Davis, California, 95616, USA.

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|June 13, 2018
PubMed
Summary
This summary is machine-generated.

Plants exhibit complex behaviors, analogous to animals, which can now be understood using a novel framework. This model breaks down plant behavior into cue, judgment, decision-making, and action for better scientific analysis.

Keywords:
cognitiondefenseerrorherbivoryinformationpsychologysignal

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Area of Science:

  • Plant Biology
  • Ethology
  • Behavioral Ecology

Background:

  • Plants engage in activities previously unrecognized as behaviors.
  • A conceptual framework is lacking for understanding plant behavior.
  • Animal behavior models offer a potential framework.

Purpose of the Study:

  • To propose a new conceptual framework for understanding plant behavior.
  • To model plant behavior using four distinct components: cue, judgment, decision-making, and action.
  • To provide an empirical basis for studying plant judgment and decision-making.

Main Methods:

  • Monitoring signaling pathways (electrical, calcium, hormonal) to assess plant judgment.
  • Evaluating gene expression and resource allocation to assess plant decision-making.
  • Applying a framework to analyze plant-herbivore interactions and resistance induction.

Main Results:

  • A four-component model (cue, judgment, decision-making, action) is proposed for plant behavior.
  • Empirical methods are suggested for measuring plant judgment and decision-making.
  • The framework aids in understanding plant responses to herbivores.

Conclusions:

  • The proposed framework offers a novel approach to studying plant behavior.
  • Separating judgment from decision-making opens new analytical avenues (e.g., Bayesian, economic utility models).
  • This framework can advance research in plant-herbivore interactions, climate change responses, and evolutionary traps.