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Functional connectivity in ruminants: A generalized state-dependent modelling approach.

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  • 1Department of Biology, The King's University, Edmonton, AB, Canada.

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Summary
This summary is machine-generated.

State-dependent animal behavior influences functional connectivity in fragmented landscapes. Understanding these trade-offs is crucial for effective landscape planning and habitat restoration efforts.

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Area of Science:

  • Ecology
  • Landscape Ecology
  • Animal Behaviour

Background:

  • Functional connectivity in fragmented landscapes is vital for species persistence.
  • Incorporating animal behaviour, specifically trade-offs, into landscape planning models remains a challenge.

Purpose of the Study:

  • To theoretically explore how state-dependent behaviour influences functional connectivity between habitat patches.
  • To investigate the impact of inter-patch distances on functional connectivity using a dynamic state variable model.

Main Methods:

  • Developed a dynamic state variable model to simulate ruminant decision-making regarding patch occupancy.
  • Incorporated energetic and predation costs associated with foraging, resting, and movement between patches.
  • Modeled fitness trade-offs influencing movement decisions based on individual energetic state and patch characteristics.

Main Results:

  • Functional connectivity can be maintained with isolated patches if they offer high resource intake and reduce predation risk.
  • Individuals in high energetic states may forgo movement, while those in poor states are compelled to move despite costs.
  • Inter-patch distance significantly affects movement decisions and the maintenance of functional connectivity.

Conclusions:

  • State-dependent behavioural models offer crucial insights into functional connectivity in fragmented landscapes.
  • Integrating animal behaviour into landscape planning is essential for effective conservation strategies.
  • This approach serves as a heuristic tool for assessing landscape connectivity restoration scenarios.