Universal scaling relations in food webs

Diego Garlaschelli ¹, Guido Caldarelli , Luciano Pietronero

⁰INFM UdR Roma 1 and Dipartimento di Fisica Università di Roma la Sapienza, P. le A. Moro 5, 00185 Rome, Italy.

Nature +

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May 9, 2003

View abstract on PubMed

Summary

Ecological food webs exhibit universal scaling in spanning trees, unlike other networks. This research views food webs as transportation networks to uncover common organizational principles across ecosystems.

Area Of Science

Ecology
Network Science
Theoretical Biology

Background

Ecological food webs, represented as networks of species interactions, are crucial for understanding ecosystem organization.
Traditional network analyses reveal that food webs differ from other networks like the Internet in characteristics such as small-world properties and scale-free degree distributions.
Observed features in food webs vary significantly with their size.

Purpose Of The Study

To propose a novel framework for analyzing ecological food webs by conceptualizing them as transportation networks.
To investigate universal patterns in food web organization by applying the concept of allometric scaling.
To identify common principles underlying ecosystem structure through network topology comparisons.

Main Methods

Food webs were modeled as transportation networks, extending the concept of allometric scaling to ecological networks.
Food webs were decomposed into spanning trees and loop-forming links.
Scaling relations of these components were analyzed across different real-world food webs.

Main Results

The number of loops in food webs showed significant variation across different ecosystems.
Spanning trees within food webs were found to be characterized by universal scaling relations.
This suggests a consistent underlying structure in the branching properties of food webs irrespective of their specific composition or size.

Conclusions

Ecological food webs, when viewed through the lens of transportation networks and allometric scaling, exhibit universal structural properties in their spanning trees.
These findings highlight common organizational principles in ecosystems that are not apparent when using standard network analysis methods.
The study provides a new perspective on understanding the fundamental architecture of ecological communities.

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