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Optimal Foraging00:48

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Methodology for Developing Life Tables for Sessile Insects in the Field Using the Whitefly, Bemisia tabaci, in Cotton As a Model System
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Habitat selection patterns are density dependent under the ideal free distribution.

Tal Avgar1, Gustavo S Betini2, John M Fryxell2

  • 1Department of Wildland Resources, Utah State University, Logan, UT, USA.

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Habitat selection models are often unreliable because they don't account for consumer and resource density. This study uses the ideal free distribution (IFD) to explain how these factors cause context-dependent habitat use, improving model transferability.

Keywords:
IFD with costsRSFSDMavailability dependencefunctional responsemIFDoptimal foragingpatch choice

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Area of Science:

  • Ecology
  • Theoretical Ecology
  • Behavioral Ecology

Background:

  • Habitat selection models are widely used but often lack reliability across different ecosystems or time.
  • Context-dependency, driven by variations in consumer density and resource availability, is a likely reason for this limitation.

Purpose of the Study:

  • To provide a theoretical framework for understanding consumer and resource density-dependent habitat selection.
  • To explore the capacity of ecological models to account for these density-dependent effects.

Main Methods:

  • Revisiting the ideal free distribution (IFD) model, which assumes consumers distribute to equalize fitness.
  • Developing a fitness-maximizing space use model based on IFD principles.
  • Analyzing how density-dependent factors influence consumer distribution patterns.

Main Results:

  • The model demonstrates that resource and consumer density drive shifts in consumer distribution.
  • Habitat selection outcomes are shown to be nonlinear and potentially non-monotonic.
  • Habitat selection strength is critically dependent on system-wide characteristics.

Conclusions:

  • Density-dependent habitat selection provides a mechanistic explanation for context-dependent outcomes in ecological models.
  • Understanding adaptive behavioral responses is key to making robust ecological inferences.
  • This approach can improve the reliability and transferability of habitat selection predictions across diverse ecological contexts.