JOURNAL ARTICLE

Ontogenetic Variation in Blade Toughness May Contribute to the Spread of Turbinaria ornata Across the South Pacific.

  • Published In: Journal of Phycology, 2023, v. 59, n. 1. P. 277 1 of 3

  • Database: Academic Search Ultimate 2 of 3

  • Authored By: Betancourt, Austin M.; Fenwick, Ileana F.; Howard, Hunter B.; Long, Alexys E.; Fong, Peggy; Barber, Paul H.; Fong, Caitlin R. 3 of 3

Abstract

Coral reefs are shifting from coral to algal‐dominated ecosystems worldwide. Recently, Turbinaria ornata, a marine alga native to coral reefs of the South Pacific, has spread in both range and habitat usage. Given dense stands of T. ornata can function as an alternative stable state on coral reefs, it is imperative to understand the factors that underlie its success. We tested the hypothesis that T. ornata demonstrates ontogenetic variation in allocation to anti‐herbivore defense, specifically that blade toughness varied nonlinearly with thallus size. We quantified the relationship between T. ornata blade toughness and thallus size for individual thalli within algal stands (N = 345) on seven fringing reefs along the north shore of Moorea, French Polynesia. We found that blade toughness was greatest at intermediate sizes that typically form canopies, with overall reduced toughness in both smaller individuals that refuge within the understory and older reproductive individuals that ultimately detach and form floating rafts. We posit this variation in blade toughness reduces herbivory on the thalli that are most exposed to herbivores and may facilitate reproduction in dispersing stages, both of which may aid the proliferation of T. ornata. [ABSTRACT FROM AUTHOR]

Additional Information

  • Source:Journal of Phycology. 2023/02, Vol. 59, Issue 1, p277
  • Document Type:Article
  • Subject Area:Environmental Sciences
  • Publication Date:2023
  • ISSN:0022-3646
  • DOI:10.1111/jpy.13292
  • Accession Number:161862979
  • Copyright Statement:Copyright of Journal of Phycology is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

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