commecometrics: an R package for trait-environment modelling at the community level
The R package <i>commecometrics</i> provides an accessible, open-access framework for modelling trait-environment relationships using community-level trait data from modern and ancient species. Ecometrics links the trait distributions of communities to their local environmental variables, enabling the reconstruction of past conditions and the prediction of community responses under future climate change. Existing tools for functional trait analysis often lack palaeontological integration or are limited to specific taxa. <i>commecometrics</i> addresses these gaps by offering a suite of functions to summarise trait distributions, construct ecometric models, visualise trait-environment relationships, assess model robustness and reconstruct environmental conditions. The package is designed for broad applicability across ecological and palaeoecological studies and includes tools for trait-based biodiversity analysis beyond ecometrics. Through a worked example using carnassial tooth relative blade length (RBL) in carnivoran mammals, we demonstrate the package's capabilities for analysing trait-environment dynamics across space and time.
Authors
- María A. Hurtado-Materon (ORCID: https://orcid.org/0000-0002-3966-5478)
- Rachel A. Short (ORCID: https://orcid.org/0000-0001-6180-3294)
- Jenny L. McGuire (ORCID: https://orcid.org/0000-0002-0663-6902)
- A. Michelle Lawing (ORCID: https://orcid.org/0000-0003-4041-6177)
- Leila Siciliano‐Martina (ORCID: https://orcid.org/0000-0002-0004-5407)
Institutions
- Georgia Institute of Technology (US)
- Texas State University (US)
- South Dakota State University (US)
- Quantitative BioSciences (US)
- Texas A&M University (US)
Publication Details
- Journal
- Biodiversity Data Journal
- Published
- 2025-10-16
- DOI
- https://doi.org/10.3897/bdj.13.e168221
- Primary Topic
- Genetic and phenotypic traits in livestock
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Science Foundation
- U.S. Department of Agriculture
- National Institute of Food and Agriculture