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Related Concept Videos

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Instinctive drift refers to the tendency of animals to revert to their innate behaviors despite repeated reinforcement. Breland and Breland demonstrated this concept in an experiment with a raccoon. The raccoon was trained to pick up two coins and place them in a container in exchange for food. Initially, the raccoon learned to associate the coins with food, making them a conditioned stimulus or a substitute for food. However, over time, the raccoon became less willing to put the coins into the...
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Behaviors are actions that an organism engages in—they can be related to finding food, reproducing, defending against threats, and many other possible actions. Behaviors include activities related to the environment around the animal—such as migration—as well as social interactions within a species or population. Many behaviors involve motor output—that is, muscle movements—while others involve less visible actions, such as learning.
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Updated: Jul 15, 2025

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Behavioral-dependent recursive movements and implications for resource selection.

Nicholas W Bakner1, Bret A Collier2, Michael J Chamberlain3

  • 1Warnell School of Forestry and Natural Resources, University of Georgia, Athens, GA, 30602, USA. Nicholas.Bakner@uga.edu.

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Summary
This summary is machine-generated.

Animal movement patterns, like revisiting areas, significantly impact resource selection. Understanding these recursive behaviors is key for accurate wildlife models, especially for wild turkey broods. This study reveals how age and roosting habits influence these choices.

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Area of Science:

  • Wildlife Ecology
  • Behavioral Ecology
  • Movement Ecology

Background:

  • Animals exhibit recursive movement patterns within home ranges, often overlooked in resource selection models.
  • Eastern wild turkey (Meleagris gallopavo silvestris) broods display age-dependent behavioral plasticity, particularly after transitioning to ground roosting.
  • Understanding how these recursive movements influence resource selection is crucial for effective wildlife management.

Purpose of the Study:

  • To investigate the influence of behavioral state-dependent recursive movements on resource selection in eastern wild turkey broods.
  • To differentiate resource selection patterns between ground roosting (1-13 days) and tree roosting (14-28 days) broods.
  • To integrate behavioral states and movement patterns into a comprehensive resource selection analysis.

Main Methods:

  • Utilized Hidden Markov Models to identify distinct behavioral states (restricted and mobile) in wild turkey broods.
  • Extracted state-specific recursive movement metrics, including revisitation patterns and residence times.
  • Integrated movement data into a step selection analysis framework to evaluate habitat selection relative to behavioral states.

Main Results:

  • Restricted ground roosting broods favored areas with dense vegetation over mixed pine-hardwoods.
  • Mobile ground roosting broods revisited areas near secondary roads and mixed pine-hardwoods.
  • Tree roosting broods, regardless of state, showed a preference for areas with greater vegetation density, revisiting shrub/scrub and pine habitats while avoiding mixed pine-hardwoods and secondary roads.

Conclusions:

  • Resource selection in wild turkey broods is significantly influenced by both behavioral state and recursive movement patterns.
  • Revisitation and residence time are critical factors affecting habitat selection in both ground and tree roosting stages.
  • Incorporating behavioral dynamics and movement recursivity into ecological models is essential for a holistic understanding of wildlife resource selection.