Belowground feedbacks as drivers of spatial self-organization and community assembly

Area of Science:

• Ecology
• Community Ecology
• Ecosystem Dynamics

Background:

• Vegetation patterning in resource-limited ecosystems suggests spatial self-organization drives community assembly.
• Existing models primarily focus on plant-resource feedbacks, overlooking plant-soil-biota feedbacks and allelopathy.
• These overlooked factors may significantly influence ecosystem structure and function.

Purpose of the Study:

• To expand the understanding of spatial self-organization drivers beyond plant-resource feedbacks.
• To integrate plant-soil-biota feedbacks and allelopathy into spatial self-organization hypotheses.
• To propose a new hypothesis linking below-ground processes to community assembly via spatial self-organization.

Main Methods:

• Integration of concepts from nonlinear physics and community ecology.
• Development of a new hypothesis on spatial self-organization.
• Conceptual framework to explain global and local self-organization processes.

Main Results:

• Below-ground processes influence community assemblages through global and local spatial self-organization.
• Global self-organization leads to ecosystem-wide patterns in biota, allelochemicals, resources, and niche partitioning.
• Local self-organization in ecotones governs structure, motion, invasion dynamics, and species coexistence.

Conclusions:

• Spatial self-organization, including below-ground feedbacks and allelopathy, is crucial for understanding plant communities, especially in dry climates.
• Global and local self-organization patterns provide insights into ecosystem assembly and stability.
• Ecotone-based management strategies can influence invasion dynamics and enhance species diversity by altering interaction networks.