Trait diversity metrics can perform well with highly incomplete datasets
K. Stewart, C. P. Carmona, C. Clements, C. Venditti, J. A. Tobias, M. Gonzalez-Suarez
The paper evaluates trait diversity metrics' robustness to data incompleteness using simulated missing data and imputation methods, finding that imputation improves reliability even with high missingness.
bioRxiv · Nov 8, 2022 · PreprintEcology