2023
DOI: 10.1080/17550874.2023.2291044
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Distribution of leaflet traits across different habitats: a phylogenetically controlled test using Neotropical palms

Gabriela A. Oda,
Rita C. Q. Portela,
Alexandra S. Pires
et al.
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“…To what extent the environment drives phenotypic plasticity or genetic adaptation in leaf N and P stoichiometry also within species remains challenging to detect but is informative for testing the Biogeochemical Niche Hypothesis. Linear mixed-effect models (LMMs) have been widely employed for separating phylogenetic and environmental effects on leaf traits 21 , 35 , motivated by their suitability to model structured data and their ability to control for phylogenetic effects and species identity as random terms, implicitly assuming that they are unrelated to the environment and given precedence over the latter in model fitting. More recently, tree-based statistical learning methods, for example, random forest models (RF), have been shown to be suitable for modeling leaf N and P 36 , 37 .…”
Section: Introductionmentioning
confidence: 99%
“…To what extent the environment drives phenotypic plasticity or genetic adaptation in leaf N and P stoichiometry also within species remains challenging to detect but is informative for testing the Biogeochemical Niche Hypothesis. Linear mixed-effect models (LMMs) have been widely employed for separating phylogenetic and environmental effects on leaf traits 21 , 35 , motivated by their suitability to model structured data and their ability to control for phylogenetic effects and species identity as random terms, implicitly assuming that they are unrelated to the environment and given precedence over the latter in model fitting. More recently, tree-based statistical learning methods, for example, random forest models (RF), have been shown to be suitable for modeling leaf N and P 36 , 37 .…”
Section: Introductionmentioning
confidence: 99%