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Energetic constraints shape the diversity of feasible ecological networks.

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Title: Energetic constraints shape the diversity of feasible ecological networks.
Authors: Long C; Department of Civil and Environmental Engineering, Massachusetts Institute of Technology, Cambridge, Massachusetts, United States of America., Angulo MT; Institute of Mathematics, Universidad Nacional Autónoma de México, Juriquilla, México., Ogbunugafor CB; Department of Ecology and Evolutionary Biology, Yale University, New Haven, Connecticut, United States of America.; Santa Fe Institute, Santa Fe, New Mexico, United States of America., Solé R; Santa Fe Institute, Santa Fe, New Mexico, United States of America.; Complex Systems Lab, Universitat Pompeu Fabra, Barcelona, Spain.; Institució Catalana de Recerca i Estudis Avançats, Barcelona, Spain.; Institut de Biologia Evolutiva, Barcelona, Spain., Saavedra S; Department of Civil and Environmental Engineering, Massachusetts Institute of Technology, Cambridge, Massachusetts, United States of America.; Santa Fe Institute, Santa Fe, New Mexico, United States of America.
Source: PLoS computational biology [PLoS Comput Biol] 2026 May 20; Vol. 22 (5), pp. e1014330. Date of Electronic Publication: 2026 May 20 (Print Publication: 2026).
Publication Type: Journal Article
Journal Info: Publisher: Public Library of Science Country of Publication: United States NLM ID: 101238922 Publication Model: eCollection Cited Medium: Internet ISSN: 1553-7358 (Electronic) Linking ISSN: 1553734X NLM ISO Abbreviation: PLoS Comput Biol Subsets: MEDLINE
Database: MEDLINE Ultimate
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  Data: <searchLink fieldCode="AU" term="%22Long+C%22">Long C</searchLink>; Department of Civil and Environmental Engineering, Massachusetts Institute of Technology, Cambridge, Massachusetts, United States of America.<br /><searchLink fieldCode="AU" term="%22Angulo+MT%22">Angulo MT</searchLink>; Institute of Mathematics, Universidad Nacional Autónoma de México, Juriquilla, México.<br /><searchLink fieldCode="AU" term="%22Ogbunugafor+CB%22">Ogbunugafor CB</searchLink>; Department of Ecology and Evolutionary Biology, Yale University, New Haven, Connecticut, United States of America.; Santa Fe Institute, Santa Fe, New Mexico, United States of America.<br /><searchLink fieldCode="AU" term="%22Solé+R%22">Solé R</searchLink>; Santa Fe Institute, Santa Fe, New Mexico, United States of America.; Complex Systems Lab, Universitat Pompeu Fabra, Barcelona, Spain.; Institució Catalana de Recerca i Estudis Avançats, Barcelona, Spain.; Institut de Biologia Evolutiva, Barcelona, Spain.<br /><searchLink fieldCode="AU" term="%22Saavedra+S%22">Saavedra S</searchLink>; Department of Civil and Environmental Engineering, Massachusetts Institute of Technology, Cambridge, Massachusetts, United States of America.; Santa Fe Institute, Santa Fe, New Mexico, United States of America.
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  Data: <searchLink fieldCode="JN" term="%22101238922%22">PLoS computational biology</searchLink> [PLoS Comput Biol] 2026 May 20; Vol. 22 (5), pp. e1014330. <i>Date of Electronic Publication: </i>2026 May 20 (<i>Print Publication: </i>2026).
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