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Quantification of Protein Interaction Network Dynamics using Multiplexed Co-Immunoprecipitation

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Published on: August 21, 2019

On quantitative measures of indirect interactions.

Toshinori Okuyama¹, Benjamin M Bolker

¹Department of Zoology, University of Florida, Gainesville, FL 32611-8525, USA. okuyama@rice.edu

Ecology Letters

|March 16, 2007

Summary

This study reviews metrics for quantifying indirect ecological effects, specifically density-mediated (DMII) and trait-mediated (TMII) interactions. It assesses metric consistency and robustness for understanding community dynamics.

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Area of Science:

Ecology
Community Ecology
Ecological Interactions

Background:

Indirect effects, including density-mediated (DMII) and trait-mediated (TMII) interactions, are recognized as crucial drivers of community dynamics.
Empirical studies often use varied metrics to detect TMII or quantify the relative strengths of DMII and TMII.

Purpose of the Study:

To review and assess the consistency and robustness of different metrics used in short-term studies to quantify indirect ecological effects.
To discuss challenges in quantifying indirect effects over longer time scales and provide recommendations.

Main Methods:

Literature review of empirical studies on indirect ecological effects.
Assessment of various metrics for their consistency and ability to detect ecological phenomena like density-dependent forager behavior.

Main Results:

A range of metrics have been employed in short-term studies to detect trait-mediated indirect effects (TMII) and quantify density-mediated indirect effects (DMII).
The consistency and robustness of these metrics vary, particularly in detecting phenomena such as density-dependent forager behavior.

Conclusions:

Quantifying indirect effects, especially over longer timescales with varying behavior and population density, presents significant challenges.
Recommendations are provided for improving the quantification of indirect effects to better predict long-term community dynamics.