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Kennesaw State University

Distances Between Species in Food Webs: Evaluating Alternative Metrics' Predictive Power

Abstract

dc:description.abstract

<p>The complexity of ecological systems makes it difficult to predict how one species will react to the disturbance of another. Complex systems of species’ interactions can be described as ecological networks. One way in which ecological networks can give information concerning one species’ response to the perturbation of another is through the quantification of species’ proximity to one another in the network. In this study, we evaluate communicability, a topological metric that accounts for all of the direct and indirect interactions between species in a food web without additional information concerning the strengths of species interactions. Communicability is then compared to shortest path distance, a metric only containing information about the shortest path between two species. We found that communicability outperformed shortest path distance in 89% of the significant model treatments (91% were significant) when analyzed using polynomial regression and in 75% of the significant model treatments when analyzed using the linear regression of natural logarithm transformed metric data (58% were significant). Yet, when comparing the effects of varying structural model properties, we found conflicting results between polynomial and linear analysis. Consequently, we were able to conclude that because communicability accounts for the totality of effects based on link structure between two species, it is a better predictor of how a species will respond to a perturbation. However, because of conflicting results in some of our statistical analyses, it is unclear what roles structural network properties play in communicability’s predictive abilities.</p>

Degree

thesis:*
Name thesis:degree_name
Master of Science in Integrative Biology (MSIB)
Level thesis:degree_level
Thesis
Discipline thesis:degree_discipline
Biology
Year dc:date.available
2016

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Johnson, Molly C
Contributors dc:contributor
  • Dr. William Ensign
  • Dr. Erik Westlund
  • Dr. Stuart Borrett

Subjects

dc:subject × 6

Identifiers

dc:identifier.*
OAI identifier oai:identifier
oai:digitalcommons.kennesaw.edu:integrbiol_etd-1012

Chain of custody

source
Harvested from
Kennesaw State University
Base URL
digitalcommons.kennesaw.edu/do/oai/
Last updated
2026-07-24
Source record
OAI-PMH GetRecord
citation

Johnson, Molly C. Distances Between Species in Food Webs: Evaluating Alternative Metrics' Predictive Power. Thesis thesis, 2016. https://digitalcommons.kennesaw.edu/integrbiol_etd/13