Long-Term Alpine Plant Responses to Global Change Drivers Depend on Functional Traits

Area of Science:

• Ecology
• Global Change Biology
• Plant Functional Traits

Background:

• Forecasting plant responses to global change is crucial but complex.
• Species responses to global change can appear unique, yet patterns may emerge by examining functional traits and community-level impacts.

Purpose of the Study:

• To synthesize data from six long-term global change experiments.
• To assess if leaf and stature traits predict species and community responses to nitrogen addition, snow addition, and warming.
• To investigate how trait effects vary across different scales and responses.

Main Methods:

• Quantified changes in abundance and establishment probability for 70 alpine plant species over time.
• Measured local functional traits, focusing on leaf and stature characteristics.
• Analyzed trait-based predictions of species and community responses under experimental global change factors.

Main Results:

• Plants with resource-acquisitive traits generally increased in abundance.
• Nitrogen addition favored species with lower leaf nitrogen; snow addition favored species with cheaper leaves; warming showed inconsistent trends.
• Community-level trait changes often differed from species-specific effects, influenced by dominant species.

Conclusions:

• Functional traits influence plant responses to global change, but the specific traits involved vary with the environmental driver.
• Trait effects can differ depending on the scale of analysis (species vs. community) and the response variable (abundance vs. establishment).
• Understanding trait-environment relationships is key to predicting alpine plant community dynamics under future global change scenarios.