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Predicting invasive species ranges is crucial for biodiversity protection and economic reasons. Ecophysiological models accurately identify at-risk areas by analyzing species

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Area of Science:

  • Ecology
  • Invasive Species Biology
  • Conservation Science

Background:

  • Invasive species represent a significant threat to global biodiversity.
  • Effective management strategies for bio-invasions rely on accurate predictions of potential distribution ranges.
  • Current methods for predicting invasive ranges face considerable uncertainty.

Purpose of the Study:

  • To accurately determine the geographical area at risk of invasion by non-native species.
  • To evaluate the efficacy of ecophysiological mechanistic models in predicting invasive species distribution.
  • To identify key functional traits influencing the potential invasive ranges of species.

Main Methods:

  • Utilized ecophysiological mechanistic models to quantify the fundamental thermal niches of species.
  • Focused on a dataset of primarily (sub)tropical bird species introduced to Europe.
  • Analyzed functional traits including body allometry, body temperature, metabolic rates, and feather insulation.

Main Results:

  • Ecophysiological mechanistic models accurately predicted the true extent of geographical areas at risk of invasion.
  • Potential invasive ranges were primarily constrained by specific functional traits.
  • These traits included body allometry, body temperature, metabolic rates, and feather insulation.

Conclusions:

  • Mechanistic predictions, by identifying tolerable climates beyond realized niches, are superior for invasion risk assessment.
  • These models provide a robust framework for informing policy and management decisions.
  • This approach aids in preventing and mitigating the impacts of invasive species.