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<p>The crustacean assemblage inhabiting corals changes in response to biotic and abiotic factors; however, there is still little information on how this occurs. This study assessed the spatio-temporal composition of coral-associated crustaceans by partitioning gamma diversity into its alpha and beta components. The relationship between crustacean richness and several environmental variables representative of the benthic habitat was also evaluated. Forty-eight samples were collected in four Mexican Central Pacific coral ecosystems for two years in the dry and rainy seasons. A total of 88 species were recorded. Beta diversity showed effective turnover at the sample and locality levels, which was greater than nestedness. Gamma diversity showed significant variation between localities within seasons, localities within years, and seasons within years. Beta diversity was the component with the highest contribution to differentiation. Moreover, spatio-temporal variation was correlated with physicochemical variables, habitat structure, and human impact in the localities.</p>

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Gamma diversity partitioning of Pocillopora coral-associated crustaceans in the Mexican Central Pacific

  • 期刊论文

  • 发表日期：

    2025年5月6日

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  • Arizbeth Alonso-Domínguez,
  • Manuel Ayón-Parente,
  • Eduardo Ríos-Jara,
  • Michel E. Hendrickx,
  • María del Carmen Esqueda-González,
  • Ofelia Vargas-Ponce,
  • Fabián A. Rodríguez-Zaragoza

摘要

The crustacean assemblage inhabiting corals changes in response to biotic and abiotic factors; however, there is still little information on how this occurs. This study assessed the spatio-temporal composition of coral-associated crustaceans by partitioning gamma diversity into its alpha and beta components. The relationship between crustacean richness and several environmental variables representative of the benthic habitat was also evaluated. Forty-eight samples were collected in four Mexican Central Pacific coral ecosystems for two years in the dry and rainy seasons. A total of 88 species were recorded. Beta diversity showed effective turnover at the sample and locality levels, which was greater than nestedness. Gamma diversity showed significant variation between localities within seasons, localities within years, and seasons within years. Beta diversity was the component with the highest contribution to differentiation. Moreover, spatio-temporal variation was correlated with physicochemical variables, habitat structure, and human impact in the localities.