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Spatial processes decouple management from objectives in a heterogeneous landscape: predator control as a case study.

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Summary

Predator control effectiveness depends on spatial factors. Analyzing coyote removals alongside mule deer needs, using spatial models, reveals variable impacts and highlights the need for targeted management strategies.

Keywords:
OdocoileusBayesianCanidCaniscarnivorecoyotefawnmule deerneonatepredator controlwildlife management

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Area of Science:

  • Ecology
  • Wildlife Management
  • Spatial Analysis

Background:

  • Predator control aims to protect prey populations but its efficacy is debated.
  • Traditional analytical methods often ignore spatial data structure, limiting understanding of predator-prey dynamics.
  • Understanding spatial congruence between predator removal and prey needs is crucial for effective management.

Purpose of the Study:

  • To evaluate the spatial match between coyote (Canis latrans) removal efforts and mule deer (Odocoileus hemionus) resource selection during parturition.
  • To assess the spatial congruence at both management unit and individual coyote removal levels.
  • To develop a spatially explicit framework for evaluating predator control impacts.

Main Methods:

  • Employed a spatially explicit, multi-level Bayesian model.
  • Assessed aerial removal risk of coyotes and mule deer resource selection.
  • Examined spatial congruence at two scales: management unit and individual removal.

Main Results:

  • Substantial spatial heterogeneity was found in the congruence between coyote removal risk and parturient deer site selection across large areas.
  • Logistical constraints and interspecific space use differences influence management strategy effectiveness.
  • The management benefit of individual coyote removals was highly variable and often spatially distinct from parturient deer needs.

Conclusions:

  • Spatial context is critical for evaluating predator control efficacy.
  • Management benefits of predator removals are not uniform and depend on spatial proximity to prey resources.
  • The developed methods offer a framework for optimizing predator control strategies by considering spatial factors, applicable to broader ecological and experimental contexts.