Functional traits help predict post-disturbance demography of tropical trees

Area of Science:

• Forest ecology
• Tropical ecology
• Conservation biology

Background:

• Understanding tropical tree species' response to disturbance is crucial for forest ecology, conservation, and resource management.
• Logging operations represent a significant disturbance impacting tropical forest dynamics.

Purpose of the Study:

• To develop a hierarchical model predicting tropical tree population changes after logging disturbance.
• To investigate the relationship between functional traits and demographic rates (recruitment, mortality) post-disturbance.

Main Methods:

• Utilized a Bayesian Network approach to model relationships between functional traits and demographic rates.
• Quantified population change and demographic rates over a 12-year period post-logging.
• Measured seven functional traits in control plots for 53 species in French Guiana.

Main Results:

• Population change rate after disturbance was primarily explained by recruitment and mortality rates (89% variability).
• Recruitment rates were significantly influenced by leaf phosphorus, seed size, and wood density.
• Mortality rates were mainly explained by maximum tree diameter.

Conclusions:

• Functional traits measured in undisturbed conditions can predict tropical tree species' responses to logging.
• Leaf phosphorus, seed size, and wood density are key traits influencing post-disturbance recruitment.
• Wood density, leaf nitrogen, maximum diameter, and seed size act as independent drivers of post-disturbance demography.