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Updated: Apr 29, 2026

Relating Stomatal Conductance to Leaf Functional Traits
Published on: October 12, 2015
Intraspecific variability in functional traits matters: case study of Scots pine
Isabelle Laforest-Lapointe1, Jordi Martínez-Vilalta, Javier Retana
1CREAF, Centre for Ecological Research and Forestry Applications, Autonomous University of Barcelona, 08193, Cerdanyola del Vallés, Bellaterra, Catalonia, Spain, isabelle.laforest.lapointe@gmail.com.
Intraspecific trait variability in Scots pine significantly influences radial growth and ecological responses. Understanding this variation is crucial for predicting vegetation dynamics under changing environmental conditions.
Area of Science:
- Ecology
- Forest Science
- Plant Trait Ecology
Background:
- Intraspecific trait variability is key to species' ecological plasticity but its community-level implications are understudied.
- Functional traits influence ecosystem processes and species interactions.
Purpose of the Study:
- To quantify intraspecific functional trait variability in Scots pine (Pinus sylvestris).
- To compare this variability with interspecific variation in Catalonia, Spain.
- To investigate trait relationships and their links to stand/climatic variables and radial growth.
Main Methods:
- Analysis of five functional traits: wood density (WD), maximum tree height (H max), leaf nitrogen content (Nmass), specific leaf area (SLA), and leaf biomass-to-sapwood area ratio (B L:A S).
- Utilized data from 406 plots in the Ecological and Forest Inventory of Catalonia (IEFC).
- Statistical modeling to assess trait correlations and their impact on radial growth.
Main Results:
- Substantial intraspecific trait variation observed across all measured traits (CVs 8%-24%).
- Observed trait correlations sometimes differed from interspecific patterns (e.g., H max and WD positively related).
- Models explained 47% of the spatial variability in Scots pine radial growth, highlighting trait variation's role.
Conclusions:
- Intraspecific trait variation in Scots pine is substantial and strongly linked to spatial growth patterns.
- Factors influencing intraspecific trait variation follow a hierarchical structure.
- Inclusion of intraspecific trait variation is vital for predictive models of vegetation dynamics and climate change responses.
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