Relating leaf traits to seedling performance in a tropical forest: building a hierarchical functional framework

Area of Science:

• Community Ecology
• Plant Physiology
• Trait-based Ecology

Background:

• Trait-based approaches are key to understanding community assembly drivers.
• The link between traits and performance is often oversimplified by univariate analyses.
• Organismal traits are phenotypically integrated, requiring a more holistic approach.

Purpose of the Study:

• To evaluate a hierarchical framework for understanding plant growth.
• To integrate individual- and species-level traits, including biomass allocation and organ-level traits.
• To test how photosynthetic traits influence seedling growth in a tropical forest.

Main Methods:

• Modeled growth data from over 1,500 seedlings across 97 species.
• Combined individual biomass allocation (leaf area ratio, leaf mass fraction) with species-level leaf traits (specific leaf area, leaf area).
• Assessed the interactive and additive effects of light and leaf traits on growth.

Main Results:

• Seedling growth positively correlated with leaf allocation (high leaf area ratio and leaf mass fraction).
• This positive effect was amplified by species-level high specific leaf area and leaf area.
• Light significantly impacted growth additively with leaf allocation traits.

Conclusions:

• A hierarchical trait framework improves understanding of plant growth.
• Integrating biomass allocation and organ-level traits provides mechanistic insights.
• This approach enhances predictions of plant performance in ecological communities.