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Related Experiment Video

Updated: Jun 5, 2025

Investigation of Plant Interactions Across Common Mycorrhizal Networks Using Rotated Cores

Investigation of Plant Interactions Across Common Mycorrhizal Networks Using Rotated Cores

Published on: March 26, 2019

Abundance-mediated species interactions.

Joshua P Twining^1,2, Ben C Augustine³, J Andrew Royle⁴

¹New York Cooperative Fish and Wildlife Research Unit, Department of Natural Resources and the Environment, Cornell University, Fernow Hall, Ithaca, New York, USA.

|December 5, 2024

Summary

This summary is machine-generated.

Ecological models often overlook species abundance, leading to inaccurate interaction insights. This study introduces an abundance-mediated framework, revealing crucial species dynamics previously missed by occupancy-based approaches.

Keywords:

Royle–Nichols abundance density dependent hierarchical models interaction networks occupancy species interactions wildlife monitoring

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Last Updated: Jun 5, 2025

Investigation of Plant Interactions Across Common Mycorrhizal Networks Using Rotated Cores

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Published on: March 26, 2019

Modeling the Size Spectrum for Macroinvertebrates and Fishes in Stream Ecosystems

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Published on: July 30, 2019

Experimental Protocol for Manipulating Plant-induced Soil Heterogeneity

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Published on: March 13, 2014

Area of Science:

Ecology and Evolutionary Biology
Quantitative Ecology
Conservation Biology

Background:

Species interactions are key drivers of biodiversity, community structure, and population dynamics.
Current ecological models often rely on species occupancy, potentially oversimplifying interaction strengths.
Ecological theory suggests population abundance, not just presence, underpins interaction strength.

Purpose of the Study:

To highlight the limitations of occupancy-based models in accurately representing species interactions.
To develop and demonstrate an abundance-mediated interaction framework using detection/non-detection data.
To provide statistical tools (MCMC samplers) for analyzing complex ecological scenarios.

Main Methods:

Utilized simulation studies to compare occupancy-based versus abundance-mediated interaction models.
Developed novel Markov chain Monte Carlo (MCMC) samplers for various ecological interaction types.
Applied the abundance-mediated framework to a North American three-species network (coyotes, fishers, American marten).

Main Results:

Occupancy-only models produced erroneous parameter estimates and missed significant species interactions.
The abundance-mediated framework revealed previously unidentified interactions within the studied network.
Modeling species interactions based on abundance significantly altered the understanding of system dynamics compared to occupancy.

Conclusions:

Accounting for species abundance is critical for accurate ecological interaction modeling.
The proposed abundance-mediated framework offers a more robust approach to understanding community ecology.
This paradigm shift is essential for advancing ecological research and conservation efforts.