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Predicting the Effectiveness of Population Replacement Strategy Using Mathematical Modeling
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Redefining 'state-of-the-art' for integrated population models with immigration.

Chloé R Nater1

  • 1Norwegian Institute of Nature Research (NINA), Trondheim, Norway.

The Journal of Animal Ecology
|April 18, 2024
PubMed
Summary
This summary is machine-generated.

Accurate estimation of animal population immigration is improved using Gaussian processes within integrated population models (IPMs). This method reduces bias and aids conservation by revealing immigration

Keywords:
Gaussian processesIPMLife Table Response Experiment (LTRE)best practicescontributionmodel assessmentpopulation dynamics

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Area of Science:

  • Ecology
  • Population Dynamics
  • Mathematical Biology

Background:

  • Quantifying immigration's impact on population dynamics is crucial but data-intensive.
  • Integrated Population Models (IPMs) estimate immigration without explicit data, but can be biased.
  • Transient Life Table Response Experiments (tLTREs) quantify immigration's demographic contribution.

Purpose of the Study:

  • To improve the accuracy and reduce bias in estimating immigration using IPMs.
  • To refine the quantification of immigration's contribution to population dynamics.
  • To introduce Gaussian processes as a superior alternative to traditional random effects in IPMs.

Main Methods:

  • Employed Gaussian processes to model time variation in vital rates and immigration.
  • Utilized an Integrated Population Model-Transient Life Table Response Experiment (IPM-tLTRE) framework.
  • Validated the approach with a simulation study and a long-term elephant seal dataset.

Main Results:

  • IPM-tLTRE frameworks with Gaussian processes yielded more accurate and less biased immigration estimates.
  • Immigration of breeding females was key to elephant seal population recovery.
  • Demonstrated the utility of Gaussian process priors in population modeling.

Conclusions:

  • Gaussian processes enhance the robustness of IPM-tLTRE analyses for demographic estimation.
  • Provides a refined workflow for ecological modeling, applicable to conservation and management.
  • Offers new insights into the population regulation of long-lived marine mammals.