Trophically integrated ecometric models as tools for demonstrating spatial and temporal functional changes in mammal communities

Author:

Short Rachel A.123ORCID,McGuire Jenny L.345ORCID,Polly P. David6ORCID,Lawing A. Michelle2ORCID

Affiliation:

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

2. Department of Ecology and Conservation Biology, Texas A&M University, College Station, TX 77843

3. School of Biological Sciences, Georgia Institute of Technology, Atlanta, GA 30332

4. School of Earth and Atmospheric Sciences, Georgia Institute of Technology, Atlanta, GA 30332

5. Interdisciplinary Graduate Program in Quantitative Biosciences, Georgia Institute of Technology, Atlanta, GA 30332

6. Department of Earth and Atmospheric Sciences, Indiana University, Bloomington, IN 47405

Abstract

We are in a modern biodiversity crisis that will restructure community compositions and ecological functions globally. Large mammals, important contributors to ecosystem function, have been affected directly by purposeful extermination and indirectly by climate and land-use changes, yet functional turnover is rarely assessed on a global scale using metrics based on functional traits. Using ecometrics, the study of functional trait distributions and functional turnover, we examine the relationship between vegetation cover and locomotor traits for artiodactyl and carnivoran communities. We show that the ability to detect a functional relationship is strengthened when locomotor traits of both primary consumers (artiodactyls, n = 157 species) and secondary consumers (carnivorans, n = 138 species) are combined into one trophically integrated ecometric model. Overall, locomotor traits of 81% of communities accurately estimate vegetation cover, establishing the advantage of trophically integrated ecometric models over single-group models (58 to 65% correct). We develop an innovative approach within the ecometrics framework, using ecometric anomalies to evaluate mismatches in model estimates and observed values and provide more nuance for understanding relationships between functional traits and vegetation cover. We apply our integrated model to five paleontological sites to illustrate mismatches in the past and today and to demonstrate the utility of the model for paleovegetation interpretations. Observed changes in community traits and their associated vegetations across space and over time demonstrate the strong, rapid effect of environmental filtering on community traits. Ultimately, our trophically integrated ecometric model captures the cascading interactions between taxa, traits, and changing environments.

Funder

National Science Foundation

USDA | National Institute of Food and Agriculture

Publisher

Proceedings of the National Academy of Sciences

Subject

Multidisciplinary

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