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Universal scaling relations in food webs

Author

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  • Diego Garlaschelli

    (INFM UdR Roma 1 and Dipartimento di Fisica Università di Roma ‘la Sapienza’
    INFM UdR Siena and Dipartimento di Fisica Università di Siena)

  • Guido Caldarelli

    (INFM UdR Roma 1 and Dipartimento di Fisica Università di Roma ‘la Sapienza’)

  • Luciano Pietronero

    (INFM UdR Roma 1 and Dipartimento di Fisica Università di Roma ‘la Sapienza’
    CNR, Istituto di Acustica ‘O.M. Corbino’)

Abstract

The structure of ecological communities is usually represented by food webs1,2,3. In these webs, we describe species by means of vertices connected by links representing the predations. We can therefore study different webs by considering the shape (topology) of these networks4,5. Comparing food webs by searching for regularities is of fundamental importance, because universal patterns would reveal common principles underlying the organization of different ecosystems. However, features observed in small food webs1,2,3,6 are different from those found in large ones7,8,9,10,11,12,13,14,15. Furthermore, food webs (except in isolated cases16,17) do not share18,19 general features with other types of network (including the Internet, the World Wide Web and biological webs). These features are a small-world character4,5 and a scale-free (power-law) distribution of the degree4,5 (the number of links per vertex). Here we propose to describe food webs as transportation networks20 by extending to them the concept of allometric scaling20,21,22 (how branching properties change with network size). We then decompose food webs in spanning trees and loop-forming links. We show that, whereas the number of loops varies significantly across real webs, spanning trees are characterized by universal scaling relations.

Suggested Citation

  • Diego Garlaschelli & Guido Caldarelli & Luciano Pietronero, 2003. "Universal scaling relations in food webs," Nature, Nature, vol. 423(6936), pages 165-168, May.
  • Handle: RePEc:nat:nature:v:423:y:2003:i:6936:d:10.1038_nature01604
    DOI: 10.1038/nature01604
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    Citations

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    Cited by:

    1. Nobi, Ashadun & Lee, Tae Ho & Lee, Jae Woo, 2020. "Structure of trade flow networks for world commodities," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 556(C).
    2. Anzhi Sheng & Qi Su & Aming Li & Long Wang & Joshua B. Plotkin, 2023. "Constructing temporal networks with bursty activity patterns," Nature Communications, Nature, vol. 14(1), pages 1-10, December.
    3. Liu, Yuxian & Rousseau, Ronald & Egghe, Leo, 2017. "Partial orders for zero-sum arrays with applications to network theory," Journal of Informetrics, Elsevier, vol. 11(1), pages 257-274.
    4. E Alejandro Herrada & Claudio J Tessone & Konstantin Klemm & Víctor M Eguíluz & Emilio Hernández-García & Carlos M Duarte, 2008. "Universal Scaling in the Branching of the Tree of Life," PLOS ONE, Public Library of Science, vol. 3(7), pages 1-6, July.
    5. Stipic, Dorian & Bradac, Mislav & Lipic, Tomislav & Podobnik, Boris, 2021. "Effects of quarantine disobedience and mobility restrictions on COVID-19 pandemic waves in dynamical networks," Chaos, Solitons & Fractals, Elsevier, vol. 150(C).
    6. Peiteng Shi & Jiang Zhang & Bo Yang & Jingfei Luo, 2014. "Hierarchicality of Trade Flow Networks Reveals Complexity of Products," Papers 1401.3103, arXiv.org.
    7. Mateusz Iskrzyński & Freek Janssen & Francesco Picciolo & Brian Fath & Franco Ruzzenenti, 2022. "Cycling and reciprocity in weighted food webs and economic networks," Journal of Industrial Ecology, Yale University, vol. 26(3), pages 838-849, June.
    8. Scotti, Marco & Bondavalli, Cristina & Bodini, Antonio, 2009. "Linking trophic positions and flow structure constraints in ecological networks: Energy transfer efficiency or topology effect?," Ecological Modelling, Elsevier, vol. 220(21), pages 3070-3080.
    9. Mika J. Straka & Guido Caldarelli & Tiziano Squartini & Fabio Saracco, 2017. "From Ecology to Finance (and Back?): Recent Advancements in the Analysis of Bipartite Networks," Papers 1710.10143, arXiv.org.
    10. Liu, Chuang & Zhou, Wei-Xing & Yuan, Wei-Kang, 2010. "Statistical properties of visibility graph of energy dissipation rates in three-dimensional fully developed turbulence," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 389(13), pages 2675-2681.
    11. Wang, Xiaomin & Yao, Bing, 2020. "Two cumulative distributions for scale-freeness of dynamic networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 556(C).
    12. Anna M. Chmiel & Julian Sienkiewicz & Krzysztof Suchecki & Janusz A. Holyst, 2006. "Networks of companies and branches in Poland," Papers physics/0611147, arXiv.org.
    13. Halnes, Geir & Fath, Brian D. & Liljenström, Hans, 2007. "The modified niche model: Including detritus in simple structural food web models," Ecological Modelling, Elsevier, vol. 208(1), pages 9-16.
    14. Iliopoulos, Panagiotis (Takis), 2022. "A quantitative analysis of governance structures in the world economy," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 599(C).
    15. Zhen Zhu & Michelangelo Puliga & Federica Cerina & Alessandro Chessa & Massimo Riccaboni, 2015. "Global Value Trees," PLOS ONE, Public Library of Science, vol. 10(5), pages 1-17, May.
    16. Riccardo Di Clemente & Guido L Chiarotti & Matthieu Cristelli & Andrea Tacchella & Luciano Pietronero, 2014. "Diversification versus Specialization in Complex Ecosystems," PLOS ONE, Public Library of Science, vol. 9(11), pages 1-8, November.
    17. Fang, Yinhai & Xu, Haiyan & Perc, Matjaž & Tan, Qingmei, 2019. "Dynamic evolution of economic networks under the influence of mergers and divestitures," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 524(C), pages 89-99.
    18. Peiteng Shi & Jiang Zhang & Bo Yang & Jingfei Luo, 2014. "Hierarchicality of Trade Flow Networks Reveals Complexity of Products," PLOS ONE, Public Library of Science, vol. 9(6), pages 1-10, June.
    19. Jiang Zhang & Lingfei Wu, 2013. "Allometry and Dissipation of Ecological Flow Networks," PLOS ONE, Public Library of Science, vol. 8(9), pages 1-8, September.
    20. Song, Dong-Ming & Jiang, Zhi-Qiang & Zhou, Wei-Xing, 2009. "Statistical properties of world investment networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 388(12), pages 2450-2460.
    21. Nguyen, Q. & Nguyen, N.K. K. & Nguyen, L.H. N., 2019. "Dynamic topology and allometric scaling behavior on the Vietnamese stock market," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 514(C), pages 235-243.

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