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Mapping the connectivity-conflict interface to inform conservation.

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Summary
This summary is machine-generated.

Conservation efforts face challenges balancing human and wildlife needs. This study develops a framework to map wildlife movement and human-wildlife conflict, improving connectivity and coexistence in shared landscapes.

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Area of Science:

  • Conservation Science
  • Landscape Ecology
  • Wildlife Management

Background:

  • Wildlife connectivity is essential for species persistence but often conflicts with human interests.
  • Dispersing animals can cause human-wildlife conflict, leading to mortality and reduced landscape connectivity.
  • Mitigating conflict while maintaining connectivity is a critical conservation dilemma.

Purpose of the Study:

  • To present a novel framework for analyzing the interplay between wildlife connectivity and human-wildlife conflict.
  • To disentangle the impacts of movement barriers and conflict-induced mortality on connectivity.
  • To identify location-specific strategies for conflict mitigation that support conservation goals.

Main Methods:

  • Extended random-walk theory to map the connectivity-conflict interface.
  • Modeled Asian elephant (Elephas maximus) movement in a human-dominated landscape.
  • Incorporated both natural and conflict-induced mortality into connectivity models.

Main Results:

  • Conflict and natural mortality significantly reduced wildlife movement and population connectivity.
  • Models incorporating animal movement and conflict predicted observed conflict patterns more accurately than distribution-only models.
  • The framework identified key areas where animal movement and human activities intersect.

Conclusions:

  • Wildlife connectivity and human-wildlife conflict are interconnected processes.
  • Predicting conflict hotspots enables targeted mitigation strategies that benefit both people and wildlife.
  • This approach supports landscape-scale conservation planning for shared environments.