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.
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.
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.
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