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Polyp size predicts metabolic rates across diverse tropical coral species
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  • Published: 13 May 2026

Polyp size predicts metabolic rates across diverse tropical coral species

  • Jacqueline V. Alva García  ORCID: orcid.org/0000-0002-0472-25241,
  • Eleonora Re  ORCID: orcid.org/0000-0002-6362-77701,
  • Anieka J. Parry  ORCID: orcid.org/0000-0002-4090-57821,
  • Shannon G. Klein  ORCID: orcid.org/0000-0001-8190-31881 &
  • …
  • Carlos M. Duarte  ORCID: orcid.org/0000-0002-1213-13611 

Communications Biology (2026) Cite this article

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We are providing an unedited version of this manuscript to give early access to its findings. Before final publication, the manuscript will undergo further editing. Please note there may be errors present which affect the content, and all legal disclaimers apply.

Subjects

  • Respiration
  • Tropical ecology

Abstract

Body size is a fundamental driver of metabolism, yet it remains unclear whether colonial organisms such as corals conform to the universal ¾-power scaling law. As climate change accelerates metabolic demands, characterizing these scaling relationships is essential to identifying which species are most physiologically vulnerable to environmental shifts. Here, we test whether coral polyp morphological traits can predict aerobic metabolism across a diverse range of reef-building species. We examine relationships between respiration and polyp biovolume, surface area, and corallite width, finding isometric scaling with biovolume and slight positive allometry with surface area, with both exponents close to one. Using median corallite width, we further extrapolate our model to theoretically predict per-polyp respiration for 727 coral species from a publicly available trait database.

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Acknowledgements

We thank Nayra Pluma, Lutfi Rosli, Sofia Frappi, Hugo Mann, and all colleagues who assisted in the collection of coral colonies. We are grateful to the Coastal Marine Resources Core Lab (CMR) staff at King Abdullah University of Science and Technology (KAUST) for their expert advice and technical support. We also acknowledge Stephen Ogg for his guidance on microscopy techniques.

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Authors and Affiliations

  1. Marine Science Program, Biological and Environmental Science and Engineering Division (BESE), King Abdullah University of Science and Technology (KAUST), Thuwal, 23955-6900, Saudi Arabia

    Jacqueline V. Alva García, Eleonora Re, Anieka J. Parry, Shannon G. Klein & Carlos M. Duarte

Authors
  1. Jacqueline V. Alva García
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  2. Eleonora Re
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  3. Anieka J. Parry
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  5. Carlos M. Duarte
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Corresponding author

Correspondence to Jacqueline V. Alva García.

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The authors declare no competing interests.

Declaration of generative AI and AI-assisted technologies in the writing process

During the preparation of this work, the author(s) used ChatGPT to improve the R code needed for the statistical analysis and the text’s grammar and spelling. After using this tool or service, the author(s) reviewed and edited the content as needed and take(s) full responsibility for the publication’s content.

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Open Access This article is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License, which permits any non-commercial use, sharing, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if you modified the licensed material. You do not have permission under this licence to share adapted material derived from this article or parts of it. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by-nc-nd/4.0/.

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Cite this article

Alva García, J.V., Re, E., Parry, A.J. et al. Polyp size predicts metabolic rates across diverse tropical coral species. Commun Biol (2026). https://doi.org/10.1038/s42003-026-10231-x

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  • Received: 16 March 2025

  • Accepted: 29 April 2026

  • Published: 13 May 2026

  • DOI: https://doi.org/10.1038/s42003-026-10231-x

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