Applying trait-based models to achieve functional targets for theory-driven ecological restoration.

Area of Science:

• Ecological Restoration
• Community Ecology
• Trait-Based Ecology

Background:

• Restoring degraded ecosystems requires manipulating species assemblages to meet functional targets.
• The response-and-effect trait framework offers a conceptual basis, but lacks quantitative methods for translating trait targets into actionable species assemblages.
• A quantitative framework is needed to bridge the gap between ecological theory and practical restoration efforts.

Purpose of the Study:

• To present novel trait-based models for generating species abundances to test ecological theories.
• To provide a quantitative framework for translating functional trait targets into manipulable species assemblages.
• To demonstrate the application of these models in achieving specific community responses and ecosystem functions.

Main Methods:

• Development of generalizable and flexible trait-based models.
• Utilizing models to generate ranges of species abundances.
• Applying models to test theories such as environmental filtering, limiting similarity, competitive hierarchies, mass ratios, and niche complementarity.

Main Results:

• The models successfully generate species assemblages for achieving desired community responses and ecosystem functions.
• Demonstrated application across various terrestrial ecosystems.
• Provided a quantitative approach to link trait targets with species assembly for restoration.

Conclusions:

• Trait-based models offer a robust framework for applying ecological theory to restoration.
• These models advance the understanding of how to set functional trait targets for successful ecosystem restoration.
• The framework supports the creation of resilient and functioning ecosystems in a changing world.