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commecometrics: an R package for trait-environment modelling at the community level.

María A Hurtado-Materon1, Leila Siciliano-Martina2, Rachel A Short3

  • 1Ecology and Evolutionary Biology Program, Texas A&M University. Department of Ecology and Conservation Biology, Texas A&M University, College Station, United States of America Ecology and Evolutionary Biology Program, Texas A&M University. Department of Ecology and Conservation Biology, Texas A&M University College Station United States of America.

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Summary
This summary is machine-generated.

The commecometrics R package models trait-environment links using community data. It reconstructs past environments and predicts future ecological changes, aiding biodiversity analysis.

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community ecologyecometricsfunctional traits.palaeoecology

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Area of Science:

  • Ecology
  • Paleontology
  • Bioinformatics

Background:

  • Functional trait analysis is crucial for understanding ecological dynamics.
  • Existing tools often lack integration with paleontological data or are taxon-specific.
  • Ecometrics links community trait distributions to environmental variables for ecological inference.

Purpose of the Study:

  • Introduce the R package `commecometrics` as a novel framework.
  • Provide tools for accessible modeling of trait-environment relationships.
  • Enable reconstruction of past environments and prediction of future community responses.

Main Methods:

  • The `commecometrics` package offers functions for summarizing trait distributions.
  • It facilitates the construction and visualization of ecometric models.
  • Model robustness is assessed, and environmental conditions are reconstructed.

Main Results:

  • The package integrates modern and ancient species trait data.
  • It demonstrates broad applicability across ecological and palaeoecological studies.
  • A worked example using carnivoran mammals (relative blade length) showcases its utility.

Conclusions:

  • `commecometrics` provides an accessible, open-access tool for trait-based biodiversity analysis.
  • The package bridges gaps in functional trait analysis by incorporating paleontological data.
  • It enhances our ability to analyze trait-environment dynamics across space and time.