Phylogenetic imputation of plant functional trait databases
By N. Swenson. 2014
119 citations recorded by the source corpus.
View Paper: https://www.semanticscholar.org/paper/1bc1446bd8eba829ec8bb872d6f7c6cf0c4bd645
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
- S. Lavorel
- William K. Cornwell
- Francesco de Bello
- Sandra Díaz
- Stephen J. Wright
- I. Wright
- Eric Garnier
- Catherine H. Graham
Citations in the corpus
- BHPMF – a hierarchical Bayesian approach to gap-filling and trait prediction for macroecology and functional biogeography (2015, methodology): “In contrast, some phylogenetic imputation methods, as reviewed recently by Swenson (2014), do allow for multiple trait predictions but only give species or higher-order means and lack any accounting for intraspecific variability.”
- How much of the world is woody? (2014, background): “Recently, two related approaches have been developed to do just this, both focusing on continuous traits (Gu enard, Legendre & Peres-Neto 2013; Swenson 2014).”
- Imputation of missing data in life‐history trait datasets: which approach performs the best? (2014, background): “…of missing trait values in the imputation process (Fisher, Blomberg & Owens 2003; Cardillo et al. 2008; Gu enard, Legendre & Peres-Neto 2013; Swenson 2014) because closely related species tend to be more similar to each other (Pagel 1999) and many traits display high degrees of phylogenetic…”