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Updated: Jun 27, 2025

Experimental Protocol for Manipulating Plant-induced Soil Heterogeneity
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Time-dependent interaction modification generated from plant-soil feedback.

Heng-Xing Zou1, Xinyi Yan2, Volker H W Rudolf1

  • 1Program in Ecology and Evolutionary Biology, Department of BioSciences, Rice University, Houston, Texas, USA.

Ecology Letters
|May 3, 2024
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Summary
This summary is machine-generated.

Species arrival timing influences higher-order interactions, affecting community composition and plant coexistence. Understanding these temporal dynamics is key to predicting ecological community behavior.

Keywords:
community assemblyhigher‐order interactionsphenologyplant–microbe interactionsplant–soil feedback

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Area of Science:

  • Ecology
  • Community Ecology
  • Theoretical Ecology

Background:

  • Species interactions are modified by community composition, leading to emergent dynamics.
  • Higher-order interactions are prevalent but their link to species arrival timing remains unclear.

Purpose of the Study:

  • To investigate how the timing of species' arrival influences higher-order interactions.
  • To explore the role of germination phenology and microbiome overlap in mediating plant interactions and coexistence.

Main Methods:

  • Generated population dynamics using a mechanistic plant-soil feedback model.
  • Applied a general theoretical framework to analyze time-dependent interaction modifications.
  • Investigated the influence of microbiome overlap and specificity on plant coexistence.

Main Results:

  • Modification of pairwise plant interactions by a third plant is dependent on its germination phenology.
  • Time-dependent interaction modifications arise from concurrent changes in plant and microbe populations.
  • Microbiome overlap and specificity significantly impact plant coexistence.

Conclusions:

  • Germination phenology is a critical factor in mediating higher-order interactions.
  • Integrating temporal shifts in species interactions is essential for predicting community dynamics.
  • The developed framework is broadly applicable to systems with time-dependent interaction modifications.