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Related Experiment Video

Updated: Aug 11, 2025

Integrating Remote Sensing with Species Distribution Models; Mapping Tamarisk Invasions Using the Software for Assisted Habitat Modeling SAHM
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Trophically integrated ecometric models as tools for demonstrating spatial and temporal functional changes in mammal

Rachel A Short1,2,3, Jenny L McGuire3,4,5, P David Polly6

  • 1Department of Natural Resource Management, South Dakota State University, Rapid City, SD 57703.

Proceedings of the National Academy of Sciences of the United States of America
|February 6, 2023
PubMed
Summary

A new trophically integrated ecometric model accurately estimates vegetation cover using mammal locomotor traits. This approach reveals environmental filtering impacts on biodiversity and ecosystem function.

Keywords:
ArtiodactylaCarnivoraecometricslocomotionvegetation cover

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Area of Science:

  • Ecology
  • Biodiversity Science
  • Paleoecology

Background:

  • Modern biodiversity crisis threatens global community compositions and ecological functions.
  • Large mammals are crucial for ecosystem function but are impacted by human activities and environmental changes.
  • Assessing functional turnover on a global scale using functional traits is challenging.

Purpose of the Study:

  • To examine the relationship between vegetation cover and locomotor traits in artiodactyl and carnivoran communities using ecometrics.
  • To develop and validate a trophically integrated ecometric model for assessing functional trait distributions and turnover.
  • To apply the model for paleovegetation interpretations and understanding environmental filtering effects.

Main Methods:

  • Utilized ecometrics, focusing on functional trait distributions and turnover.
  • Developed a trophically integrated ecometric model combining locomotor traits of primary (artiodactyls) and secondary (carnivorans) consumers.
  • Introduced ecometric anomalies to assess mismatches between model estimates and observed values.

Main Results:

  • The integrated ecometric model accurately estimated vegetation cover for 81% of communities, outperforming single-group models (58-65%).
  • Locomotor traits of combined artiodactyl and carnivoran communities showed a stronger functional relationship with vegetation cover.
  • The model successfully identified past and present mismatches, demonstrating utility for paleovegetation reconstruction.

Conclusions:

  • Trophically integrated ecometric models are advantageous for assessing functional trait-environment relationships.
  • Environmental filtering strongly and rapidly influences community traits and associated vegetation.
  • The model captures cascading interactions between taxa, traits, and environmental changes, offering insights into biodiversity dynamics.