Functional trait trade-offs define plant population stability across different biomes.

Area of Science:

• Ecology
• Plant Biology
• Global Change Biology

Background:

• Ecological theory suggests species' strategies influence population stability, but empirical data on traits driving this is limited.
• Understanding traits linked to plant population stability is crucial for predicting ecosystem responses to environmental change.

Purpose of the Study:

• To empirically investigate which plant traits and ecological trade-offs are associated with temporal population stability across diverse biomes.
• To test the hypothesis that specific traits, such as leaf dry matter content and seed mass, predict inter-annual variability in species abundance.

Main Methods:

• Compiled a global dataset of over 7000 long-term vegetation plots from 78 distinct datasets.
• Integrated vegetation data with existing plant trait databases to analyze relationships between traits and species abundance variability (coefficient of variation).

Main Results:

• Plant populations with higher leaf dry matter content and greater seed mass exhibited significantly greater temporal stability.
• The identified traits consistently influenced stability across various datasets, though they explained a low proportion of variability.
• Other traits and factors like phylogeny did not substantially improve stability predictions.

Conclusions:

• Provides empirical evidence linking specific traits (leaf dry matter, seed mass) and ecological trade-offs to plant population stability globally.
• Highlights the importance of resource-use and dispersal strategies in maintaining plant population stability across multiple biomes.
• Suggests future research should incorporate often-unavailable traits and intraspecific variability to further refine stability predictions.