Abstract
Many biological processes, from cellular metabolism to population dynamics, are characterized by allometric scaling (power-law) relationships between size and rate1,2,3,4,5,6,7,8,9,10. An outstanding question is whether typical allometric scaling relationships—the power-law dependence of a biological rate on body mass—can be understood by considering the general features of branching networks serving a particular volume. Distributed networks in nature stem from the need for effective connectivity11, and occur both in biological systems such as cardiovascular and respiratory networks1,2,3,4,5,6,7,8 and plant vascular and root systems1,9,10, and in inanimate systems such as the drainage network of river basins12. Here we derive a general relationship between size and flow rates in arbitrary networks with local connectivity. Our theory accounts in a general way for the quarter-power allometric scaling of living organisms1,2,3,4,5,6,7,8,9,10, recently derived8 under specific assumptions for particular network geometries. It also predicts scaling relations applicable to all efficient transportation networks, which we verify from observational data on the river drainage basins. Allometric scaling is therefore shown to originate from the general features of networks irrespective of dynamical or geometric assumptions.
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Acknowledgements
We thank R. Rigon for the computations shown in Fig. 2 ; A. Beauvais, F. Colaiori, P.Dodds, A. Flammini, M. Caterina Putti, R. Robinett, I. Rodriguez-Iturbe, D. Rothman and J. Weitz for helpful discussions; and John Damuth for many key insights. This work was supported by INFN, NASA, NATO, MURST 40% Trasporto di sedimenti ed evoluzione morfologica di corsi d'acqua, estuari e lagune alle diverse scale temporali and The Donors of the Petroleum Research Fund administered by the American Chemical Society.
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Banavar, J., Maritan, A. & Rinaldo, A. Size and form in efficient transportation networks. Nature 399, 130–132 (1999). https://doi.org/10.1038/20144
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DOI: https://doi.org/10.1038/20144
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