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An efficient method of evaluating multiple concurrent management actions on invasive populations.

Amy J Davis1, Randy Farrar2, Brad Jump3

  • 1National Wildlife Research Center, Wildlife Services, Animal and Plant Health Inspection Service, United States Department of Agriculture, Fort Collins, Colorado, USA.

Ecological Applications : a Publication of the Ecological Society of America
|April 9, 2022
PubMed
Summary

This study presents a new method using only removal data to estimate invasive species abundance and track population changes. This approach aids in evaluating control effectiveness and setting removal targets for better invasive species management.

Keywords:
Sus scrofadynamic modelinvasive species managementmulti-method frameworkremoval samplingsimulation analysis

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Area of Science:

  • Ecology
  • Wildlife Management
  • Conservation Biology

Background:

  • Assessing invasive species control efficacy is vital but challenging due to limited monitoring resources.
  • Managers often perceive monitoring as detracting from direct control efforts.
  • Existing methods may not fully accommodate varied removal techniques or effort over time.

Purpose of the Study:

  • To develop a novel method for estimating invasive species abundance and management effectiveness using only data from removal activities.
  • To enable the evaluation of population growth dynamics between removal periods.
  • To provide a framework for optimizing invasive species control strategies.

Main Methods:

  • Utilized data from removal efforts (method, date, location, number removed, effort) to estimate abundance at discrete time points.
  • Developed a dynamic model to estimate population growth between removal events.
  • Simulated over one million conditions to validate the method's accuracy and reliability across various scenarios.

Main Results:

  • The developed method provided unbiased estimates (within 10% of truth) 81% of the time and showed correlation with true values 91% of the time.
  • The approach effectively monitored trends in invasive species abundance over time.
  • Applied to feral swine data, the method identified a target monthly removal rate of 18% for population decline.

Conclusions:

  • This dynamic approach offers a cost-effective way to evaluate invasive species management efficacy, even with limited monitoring resources.
  • The method supports adaptive management by providing population growth estimates and target removal rates.
  • It advances traditional modeling by integrating diverse removal techniques and variable effort/coverage.